Current PAT Landscape in the Downstream Processing of Biopharmaceuticals
Open accessAbstract
Protein‐based therapeutics have revolutionized modern medicine, addressing complex diseases with unprecedented specificity and efficacy. The rising demand for biologics has driven the evolution of biomanufacturing practices to ensure consistent quality and operational efficiency. Traditional batch testing, with its inherent limitations, is being replaced by quality by design (QbD) frameworks and process analytical technology (PAT). PAT facilitates real‐time monitoring and control by integrating advanced analytical tools and data‐driven methodologies to optimize downstream processing (DSP). This review highlights the recent advancements in PAT tools, including spectroscopy, chromatography and biosensors. Spectroscopic techniques provide rapid, non‐invasive measurements, while biosensors offer high specificity for monitoring critical quality attributes. Additionally, the integration of chemometric modelling and digital twins enables predictive analytics and enhances process control, paving the way for real‐time release (RTR) of the product. Despite challenges in regulatory compliance and technology integration, innovations in automation and machine learning are bridging these gaps, accelerating the transition to intelligent manufacturing systems. This article provides a comprehensive evaluation of emerging analytical technologies and strategic insights into their integration, aiming to support the biopharmaceutical industry's shift towards robust, continuous and adaptive manufacturing paradigms.
AI snapshot
Written from the paper’s full text.
TL;DR
This review surveys current process analytical technology (PAT) tools for downstream processing (DSP) of biopharmaceuticals, covering spectroscopy, chromatography/hyphenated mass spectrometry, biosensors, chemometrics, and digital twins. It argues that integrated PAT plus predictive modeling can enable real-time monitoring and control and move toward real-time release, though regulatory and integration hurdles remain.
Key findings
- DSP is cost-critical: downstream processing accounts for 80% of production expenses, largely driven by Protein A resin and virus filtration, and DSP process decisions must be made within seconds, whereas response times up to 1 h may still suffice for upstream processing.
- Spectroscopic PAT enables rapid, non-invasive monitoring: NIR has been used on-line every 3 s for PEGylation and Protein A column breakthrough, Raman has achieved accurate quality measurements every 38 s for aggregation/fragmentation, and ATR-FTIR has monitored UFDF protein/excipient concentrations in seconds.
- Chromatography and hyphenated MS offer high specificity but remain slower: on-line UPLC took 30 min per sample, a specialized real-time HPLC setup reduced sampling to 1.30–2.35 min, and µSMB-MS processed samples in 2–8 min, still slower than seconds-scale spectroscopy.
- Biosensors can fill specificity/speed gaps: LSPR detected column breakthrough at product concentrations as low as 2 µg/mL and aggregates as low as 1%, while a fluorescence-based biosensor detected 5% column breakthrough; chemometric soft sensors and digital twins are presented as enablers of predictive process control and real-time release.
Methods
- Narrative review of recent advancements in PAT for biopharmaceutical DSP; no systematic review protocol, search strategy, or primary data collection is stated.
- Synthesizes literature and includes Table 1 summarizing recent literature from the past 5 years on analytical technologies for real-time protein DSP, listing technique, PAT mode, DSP step, CQAs monitored, and references.
- Main analysis is qualitative synthesis of analytical techniques and data workflow, not quantitative meta-analysis.
Limitations
- The paper states hesitancy to implement PAT at commercial scale due to perceived increased regulatory submission burden; predictive models need validation, documentation of comparability/reliability, justification of model parameters, and demonstration of comparability between routine analytical data and PAT-generated data.
- Technique-specific limitations stated include: spectroscopy lacks high specificity and requires heavy data processing; chromatography/MS measurement times remain too long for true real-time DSP and in-line implementation is largely impractical; biosensors depend on highly specific ligands and have limited studies demonstrating real-time monitoring.
- Evident from the text: as a narrative review, it does not systematically assess evidence quality or report inclusion/exclusion criteria, and Table 1 is limited to selected examples from the past 5 years, so coverage may not be exhaustive.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
6 of 90 cited sources checked · 6 supported · 0 flagged
- Premisecitation
Protein aggregates have been shown to exhibit immunogenicity, leading to adverse effects.
“The formation of aggregates during the purification process is an important attribute to monitor, as protein aggregates have shown to exhibit immunogenicity, leading to adverse effects [37].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [37] M. L. E. Lundahl, S. Fogli, P. E. Colavita, and E. M. Scanlan, “ Aggregation of Protein Therapeutics Enhances Their Immunogenicity: Causes and Mitigation Strategies,” RSC Chemistry Biology 2 (2021): 1004– 1020, 10.1039/d1cb00067e. PMC8341748 34458822 source
- Premisecitation
LSPR biosensors have been utilized for in-line monitoring of the Protein A capture step, enabling high-sensitivity detection of column breakthrough by measuring product concentrations as low as 2 μg/mL in the effluent.
“LSPR biosensors have been utilized for in‐line monitoring of the Protein A capture step, enabling the high‐sensitivity detection of column breakthrough by measuring product concentrations as low as 2 µg/mL in the effluent, allowing for early identification of column leakage [96].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [96] T. Tran, E. Martinsson, R. Gustavsson, et al., “ Process Integrated Biosensors for Real‐Time Monitoring of Antibodies for Automated Affinity Purification,” Analytical Methods 14 (2022): 4555– 4562, 10.1039/d2ay01567f. 36314900 source
- Premisecitation
Helgers et al. demonstrated the integration of various spectroscopic techniques, including Raman, FTIR, fluorescence spectroscopy and UV-Vis, with a predictive modelling data workflow and DT to achieve advanced process control.
“Helgers et al. demonstrated the integration of various spectroscopic techniques, including Raman, FTIR, fluorescence spectroscopy and UV‐Vis, with a predictive modelling data workflow and DT to achieve advanced process control (APC) [115].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [115] H. Helgers, A. Schmidt, L. J. Lohmann, et al., “ Towards Autonomous Operation by Advanced Process Control—Process Analytical Technology for Continuous Biologics Antibody Manufacturing,” Processes 9 (2021): 172, 10.3390/pr9010172. source
- Findingnone given
Almost all recent studies employing PAT tools for downstream process monitoring (Table 1) have extensively used chemometrics, employing one or more models to predict quality outcomes, thereby enabling real-time process control.
“Almost all of the recent studies employing PAT tools for downstream process monitoring (Table 1) have extensively used chemometrics, employing one or more of the above‐mentioned models to predict the quality outcomes, thereby enabling real‐time process control.”
Quote in the paperNot a substantial claim - Premisecitation
Advanced Raman spectroscopic techniques depend on expensive instrumentation, often hindering their routine implementation.
“Advanced Raman spectroscopic techniques depend on expensive instrumentation, often hindering their routine implementation.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [73] Y. K. Lin, H. Y. Leong, T. C. Ling, D.‐Q. Lin, and S.‐J. Yao, “ Raman Spectroscopy as Process Analytical Tool in Downstream Processing of Biotechnology,” Chinese Journal of Chemical Engineering 30 (2021): 204– 211, 10.1016/j.cjche.2020.12.008. source
- Premisecitation
Therapeutic proteins are inherently complex due to their higher molecular weights, multiple post-translational modifications, higher order structure variants, and/or putative molecular interactions.
“Adding to this challenge is the inherent complexity of therapeutic proteins due to their higher molecular weights, multiple post‐translational modifications (PTMs), higher order structure variants (HOS) and/or putative molecular interactions [33].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [33] A. Guerra, S. M. von, and J. Glassey, “ Toward Biotherapeutic Product Real‐Time Quality Monitoring,” Critical Reviews in Biotechnology 39 (2019): 289– 305, 10.1080/07388551.2018.1524362. 30724608 source
- Premisecitation
Chromatography coupled with a suitable detector can efficiently identify CQAs such as charge variants, size variants and glycosylation patterns.
“Chromatography coupled with a suitable detector can efficiently identify CQAs such as charge variants, size variants and glycosylation patterns [83].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [83] T. Graf, K. Heinrich, I. Grunert, et al., “ Recent Advances in LC–MS Based Characterization of Protein‐Based Bio‐Therapeutics—Mastering Analytical Challenges Posed by the Increasing Format Complexity,” Journal of Pharmaceutical and Biomedical Analysis 186 (2020): 113251, 10.1016/j.jpba.2020.113251. 32251978 source
- Interpretationnone given
Chromatography coupled with MS or other detection techniques has been extensively utilized for off-line analysis, offering high specificity, sensitivity and the ability to simultaneously monitor multiple attributes.
“Overall, chromatography coupled with mass spectrometry or other detection techniques has been extensively utilized for off‐line analysis, offering high specificity, sensitivity and the ability to simultaneously monitor multiple attributes.”
Quote in the paperNot a substantial claim - Premisecitation
In Rolinger et al., UV-data-based PLS modelling alone had superior performance in predicting mAb concentrations.
“In the end, the study concluded that, UV‐data‐based PLS modelling alone had superior performance in predicting the mAb concentrations [78].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [78] L. Rolinger, M. Rüdt, and J. Hubbuch, “ Comparison of UV‐ and Raman‐Based Monitoring of the Protein A Load Phase and Evaluation of Data Fusion by PLS Models and CNNs,” Biotechnology and Bioengineering 118 (2021): 4255– 4268, 10.1002/bit.27894. 34297358 source
Checked before — its earlier verdict is held back until a new check runs.
- Premisecitation
The classification of samples based on concentration and purity allowed prioritization and reduction in samples analysed by the regular HPLC and UV setup.
“However, the classification of samples based on concentration and purity allowed the prioritization and reduction in samples analysed by the regular HPLC and UV setup [76].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [76] S. Goldrick, A. Umprecht, A. Tang, et al., “ High‐Throughput Raman Spectroscopy Combined With Innovate Data Analysis Workflow to Enhance Biopharmaceutical Process Development,” Processes 8 (2020): 1179, 10.3390/pr8091179. source
- Interpretationcitation
Raman spectroscopy is effective as a PAT tool in continuous manufacturing settings.
“This demonstrates the effectiveness of Raman spectroscopy as a PAT tool in continuous manufacturing settings [71].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [71] D. Yilmaz, H. Mehdizadeh, D. Navarro, A. Shehzad, M. O'Connor, and P. McCormick, “ Application of Raman Spectroscopy in Monoclonal Antibody Producing Continuous Systems for Downstream Process Intensification,” Biotechnology Progress 36 (2020): e2947, 10.1002/btpr.2947. 31837253 source
- Premisenone given
Advances in automated sampling solutions have made it possible to employ chromatography in an on-line setup, where the sample solution can be automatically drawn from the process stream and passed to chromatographic analysis.
“Advances in automated sampling solutions have made it possible to employ chromatography in an on‐line setup, where the sample solution can be automatically drawn from the process stream and passed on to the chromatographic analysis.”
Quote in the paperSubstantial claim - Premisecitation
NIR has been employed in an on-line setup to monitor PEGylation of proteins, with spectra collected in real time every 3 s followed by model building for information extraction and process control.
“NIRs have been employed in an on‐line setup to monitor the PEGylation of proteins, which is an important quality attribute to monitor during the downstream processing of conjugated proteins. NIRS spectra were collected in real time for every 3 s, which was then followed by model building for information extraction and process control [62].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [62] V. Hebbi, G. Thakur, and A. S. Rathore, “ Process Analytical Technology Application for Protein PEGylation Using near Infrared Spectroscopy: G‐CSF as a Case Study,” Journal of Biotechnology 325 (2021): 303– 311, 10.1016/j.jbiotec.2020.10.006. 33039551 source
- Premisecitation
VPE in conjunction with a flow cell can be easily integrated in-line for various unit operations, enabling real-time acquisition of UV signals.
“VPE in conjunction with a flow cell can be easily integrated in‐line for various unit operations, enabling real‐time acquisition of UV signals [80].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [80] D. P. Wasalathanthri, M. S. Rehmann, J. M. West, M. C. Borys, J. Ding, and Z. J. Li, “ Paving the Way for Real Time Process Monitoring in Biomanufacturing,” American Pharmaceutical Review 23, no. 5 (2020): 54– 58.
Not checked in the free run.
- Premisecitation
Accurate measurements of protein concentrations can be made with VPE even with high-concentration proteins without requiring dilutions.
“Accurate measurements of protein concentrations can be made with VPE, even with high‐concentration proteins without requiring dilutions [81].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [81] W. S. McKechnie, N. Tugcu, and S. Kandula, “ Accurate and Rapid Protein Concentration Measurement of in‐Process, High Concentration Protein Pools,” Biotechnology Progress 34 (2018): 1234– 1241, 10.1002/btpr.2695. 30239171 source
- Premisecitation
Godbole et al. in 2024 used on-line UPLC based on ion exchange to determine the ratio of co-formulated mAbs.
“An on‐line ultra‐performance liquid chromatography (UPLC), based on ion exchange, had been employed by Godbole et al., in 2024 to determine the ratio of co‐formulated mAbs.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [84] A. Godbole, L. Chen, J. Desai, et al., “ Implementation of Innovative Process Analytical Technologies to Characterize Critical Quality Attributes of Co‐Formulated Monoclonal Antibody Products,” Biotechnology and Bioengineering 122(2) (2024): 322– 332., 10.1002/bit.28881. 39511785 source
Checked before — its earlier verdict is held back until a new check runs.
- Premisecitation
In-line monitoring of process impurities during recombinant protein purification was developed using calibration models based on Raman and NIR spectroscopy.
“In Vasko et al. [69], an in‐line monitoring of process impurities during recombinant protein purification was developed using calibration models based on Raman and NIR spectroscopy.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [69] D. Vaskó, E. Pantea, J. Domján, et al., “ Raman and NIR Spectroscopy‐based Real‐Time Monitoring of the Membrane Filtration Process of a Recombinant Protein for the Diagnosis of SARS‐CoV‐2,” International Journal of Pharmaceutics 660 (2024): 124251, 10.1016/j.ijpharm.2024.124251. 38797253 source
- Premisecitation
MAM has become a valuable tool for the quality control of biotherapeutics.
“MAM has become a valuable tool for the quality control of biotherapeutics [90].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [90] S. Rogstad, H. Yan, X. Wang, et al., “ Multi‐Attribute Method for Quality Control of Therapeutic Proteins,” Analytical Chemistry 91 (2019): 14170– 14177, 10.1021/acs.analchem.9b03808. 31618017 source
- Premisecitation
Raman spectroscopy coupled with a convolutional neural network framework allowed on-line real-time monitoring and determination of charge variants during cation exchange chromatography of monoclonal antibodies.
“In Nitika et al. [68], Raman spectroscopy coupled with a convolutional neural network framework allowed for on‐line real‐time monitoring and determination of charge variants during cation exchange chromatography (CEX) of mAbs.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [68] N. Nitika, B. Keerthiveena, G. Thakur, and A. S. Rathore, “ Convolutional Neural Networks Guided Raman Spectroscopy as a Process Analytical Technology (PAT) Tool for Monitoring and Simultaneous Prediction of Monoclonal Antibody Charge Variants,” Pharmaceutical Research 41 (2024): 463– 479, 10.1007/s11095-024-03663-9. 38366234 source
- Premisecitation
Automated sampling systems such as MAST and Seg-Flow can draw samples from the bioprocess stream and deliver them to analytical devices for seamless analysis.
“Automated sampling systems such as MAST and Seg‐Flow can draw the samples from the bioprocess stream and deliver them to the analytical devices for ensuing seamless analysis [45, 46, 47].”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [45] C. Blattner, F. R. Blattner, M. Biksacky, and W. Miller, “ Rapid Bioprocess Culture Characterization,” Genetic Engineering Biotechnology N 35 (2015): 28– 29, 10.1089/gen.35.05.15. source
- cites [46] T. Bouvarel, J. Camperi, and D. Guillarme, “ Multi‐Dimensional Technology—Recent Advances and Applications for Biotherapeutic Characterization,” Journal of Separation Science 47 (2024): e2300928, 10.1002/jssc.202300928. 38471977 source
Checked before — its earlier verdict is held back until a new check runs.
- cites [47] D. P. Wasalathanthri, M. S. Rehmann, Y. Song, et al., “ Technology Outlook for Real‐Time Quality Attribute and Process Parameter Monitoring in Biopharmaceutical Development—A Review,” Biotechnology and Bioengineering 117 (2020): 3182– 3198, 10.1002/bit.27461. 32946122 source
- Premisecitation
The high-throughput Raman method was not able to accurately detect low and high molecular weight species.
“However, this method was not able to accurately detect low and high molecular weight species.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [76] S. Goldrick, A. Umprecht, A. Tang, et al., “ High‐Throughput Raman Spectroscopy Combined With Innovate Data Analysis Workflow to Enhance Biopharmaceutical Process Development,” Processes 8 (2020): 1179, 10.3390/pr8091179. source
- Interpretationreasoning
Integration of chromatography into real-time environments presents substantial challenges.
“However, its integration into real‐time environments presents substantial challenges.”
Quote in the paperSubstantial claim - Premisecitation
Raman spectroscopy is sensitive to fluorescent backgrounds, which can obscure Raman signals in certain samples.
“One of Raman's limitations is its sensitivity to fluorescent backgrounds, which can obscure Raman signals in certain samples [72].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [72] L. Rolinger, M. Rüdt, and J. Hubbuch, “ A Critical Review of Recent Trends, and a Future Perspective of Optical Spectroscopy as PAT in Biopharmaceutical Downstream Processing,” Analytical Bioanalytical Chemistry 412 (2020): 2047– 2064, 10.1007/s00216-020-02407-z. 32146498 PMC7072065 source
Checked before — its earlier verdict is held back until a new check runs.
- Premisecitation
Implementation of PAT in downstream processing has been somewhat limited due to various difficulties associated with it.
“Implementation of PAT in DSP has been somewhat limited due to various difficulties associated with it [26].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [26] A. C. Fisher, M.‐H. Kamga, C. Agarabi, K. Brorson, S. L. Lee, and S. Yoon, “ The Current Scientific and Regulatory Landscape in Advancing Integrated Continuous Biopharmaceutical Manufacturing,” Trends in Biotechnology 37 (2019): 253– 267, 10.1016/j.tibtech.2018.08.008. 30241924 source
- Premisecitation
A variable pathlength UV-Vis spectrometer has been utilized for the in-line monitoring of protein concentration during UFDF on a lab scale.
“A variable pathlength UV‐Vis spectrometer has already been utilized for the in‐line monitoring of protein concentration during the UFDF on a lab scale [82].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [82] L. Rolinger, M. Rüdt, J. Diehm, et al., “ Multi‐Attribute PAT for UF/DF of Proteins—Monitoring Concentration, Particle Sizes, and Buffer Exchange,” Analytical Bioanalytical Chemistry 412 (2020): 2123– 2136, 10.1007/s00216-019-02318-8. 32072210 source
- Premisecitation
The development of portable flow cells for Raman has made the technique easy to implement inline or online to monitor quality attributes.
“The development of portable flow cells for Raman [67] has made this technique easy to implement inline or online to monitor quality attributes.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [67] F. Feidl, S. Garbellini, S. Vogg, et al., “ A New Flow Cell and Chemometric Protocol for Implementing In‐Line Raman Spectroscopy in Chromatography,” Biotechnology Progress 35 (2019): e2847, 10.1002/btpr.2847. 31099991 source
- Premisecitation
Rolinger et al. employed Raman and UV in an in-line setup to measure mAb concentration in the column effluent during the load phase in Protein A chromatography.
“Rolinger et al. employed both Raman and UV in an in‐line setup to measure the mAb concentration in the column effluent during the load phase in Protein A chromatography.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [78] L. Rolinger, M. Rüdt, and J. Hubbuch, “ Comparison of UV‐ and Raman‐Based Monitoring of the Protein A Load Phase and Evaluation of Data Fusion by PLS Models and CNNs,” Biotechnology and Bioengineering 118 (2021): 4255– 4268, 10.1002/bit.27894. 34297358 source
Checked before — its earlier verdict is held back until a new check runs.
- Premisecitation
VPE instruments employ multiple pathlengths to measure absorbance automatically at a specific wavelength.
“A notable advancement in UV‐Vis analytical methods is the development of variable pathlength slope (VPE) instruments, which employs multiple pathlengths to measure the absorbance automatically at a specific wavelength [80].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [80] D. P. Wasalathanthri, M. S. Rehmann, J. M. West, M. C. Borys, J. Ding, and Z. J. Li, “ Paving the Way for Real Time Process Monitoring in Biomanufacturing,” American Pharmaceutical Review 23, no. 5 (2020): 54– 58.
Not checked in the free run.
- Premisecitation
Manual sample acquisition and preparation introduce variability due to human errors in sample handling.
“Manual sample acquisition and preparation also introduce variability due to human errors in sample handling [39].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [39] S. Tallvod, D. Espinoza, J. Gomis‐Fons, N. Andersson, and B. Nilsson, “ Automated Quality Analysis in Continuous Downstream Processes for Small‐Scale Applications,” Journal of Chromatography A 1702 (2023): 464085, 10.1016/j.chroma.2023.464085. 37245353
Not checked in the free run.
- Premisecitation
Diehm et al. in 2024 hyphenated a micro-simulated moving bed chromatography for sample preparation and MS for measurements in an on-line setup within PAT.
“A solution to this limitation was explored by Diehm et al., in 2024, by hyphenating a micro‐simulated moving bed chromatography (µSMB) for sample preparation and using MS for measurements. This was implemented in an on‐line setup within the PAT.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [88] J. Diehm, L. Witting, F. Kirschhöfer, G. Brenner‐Weiß, and M. Franzreb, “ Micro Simulated Moving Bed Chromatography‐Mass Spectrometry as a Continuous On‐Line Process Analytical Tool,” Analytical Bioanalytical Chemistry 416 (2024): 373– 386, 10.1007/s00216-023-05023-9. 37946036 PMC10761468
Not checked in the free run.
- Premisecitation
Goldrick et al. used a high-throughput Raman spectroscopy microscope to monitor elution conditions and monomer purity in a CEX step of an Fc-fusion protein in downstream processing.
“In an attempt to reduce operating costs, Goldrick et al. explored the potential of a high‐throughput Raman spectroscopy microscope in monitoring different elution conditions and monomer purity in a cation exchange chromatography (CEX) step of a Fc‐fusion protein in downstream processing.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [76] S. Goldrick, A. Umprecht, A. Tang, et al., “ High‐Throughput Raman Spectroscopy Combined With Innovate Data Analysis Workflow to Enhance Biopharmaceutical Process Development,” Processes 8 (2020): 1179, 10.3390/pr8091179. source
- Premisecitation
Combined with chemometric modelling, the high-throughput Raman method classified samples based on protein concentration and monomer purity.
“Combined with chemometric modelling, this method was able to classify samples based on protein concentration and monomer purity.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [76] S. Goldrick, A. Umprecht, A. Tang, et al., “ High‐Throughput Raman Spectroscopy Combined With Innovate Data Analysis Workflow to Enhance Biopharmaceutical Process Development,” Processes 8 (2020): 1179, 10.3390/pr8091179. source
- Interpretationreasoning
In continuous downstream processing, PAT plays a pivotal role by enabling the integration of in-line, on-line, and at-line technologies.
“In continuous downstream processing, characterized by constant fluid flow, PAT plays a pivotal role by enabling the integration of in‐line, on‐line and at‐line technologies.”
Quote in the paperNot a substantial claim - Premisecitation
Raman spectroscopy integrated with chemometric modelling during the harvest step measured monoclonal antibody concentrations in real time from the permeate stream of a perfusion bioreactor, achieving accurate concentration predictions.
“Raman spectroscopy has also been utilized during the harvest step to measure mAb concentrations in real time from the permeate stream of a perfusion bioreactor. By integrating Raman with chemometric modelling, accurate concentration predictions can be achieved.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [71] D. Yilmaz, H. Mehdizadeh, D. Navarro, A. Shehzad, M. O'Connor, and P. McCormick, “ Application of Raman Spectroscopy in Monoclonal Antibody Producing Continuous Systems for Downstream Process Intensification,” Biotechnology Progress 36 (2020): e2947, 10.1002/btpr.2947. 31837253 source
- Premisecitation
Mass spectrometry can detect a wide range of quality attributes, such as glycosylation patterns, charge variants, aggregates and process-related impurities like host cell proteins.
“It can detect a wide range of quality attributes, such as glycosylation patterns [86], charge variants, aggregates and process‐related impurities like host cell proteins (HCP) [87].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [86] L. Naumann, P. Schlossbauer, F. Klingler, F. Hesse, K. Otte, and C. Neusüß, “ High‐Throughput Glycosylation Analysis of Intact Monoclonal Antibodies by Mass Spectrometry Coupled With Capillary Electrophoresis and Liquid Chromatography,” Journal of Separation Science 45 (2022): 2034– 2044, 10.1002/jssc.202100865. 35044720
Not checked in the free run.
- cites [87] K. Pilely, M. R. Johansen, R. R. Lund, et al., “ Monitoring Process‐Related Impurities in Biologics–host Cell Protein Analysis,” Analytical Bioanalytical Chemistry 414 (2022): 747– 758, 10.1007/s00216-021-03648-2. 34595561 PMC8483941
Not checked in the free run.
- Premisecitation
A specialized HPLC setup for real-time monitoring with automated sampling and data processing achieved faster measurements with shorter sampling times ranging from 1.30 to 2.35 min.
“This setup achieved faster measurements with shorter sampling times ranging from 1.30 to 2.35 min [85].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [85] T. Graf, L. Naumann, L. Bonnington, et al., “ Expediting Online Liquid Chromatography for Real‐Time Monitoring of Product Attributes to Advance Process Analytical Technology in Downstream Processing of Biopharmaceuticals,” Journal of Chromatography A 1729 (2024): 465013, 10.1016/j.chroma.2024.465013. 38824753
Not checked in the free run.
- Interpretationreasoning
When equipped with suitable ligands, biosensors provide the necessary specificity to detect not only the target analyte, but also other product- or process-related impurities, making them a platform tool for monitoring multiple attributes.
“When equipped with suitable ligands, they provide the necessary specificity to detect not only the target analyte, but also other product‐ or process‐related impurities, thereby making them a platform tool for monitoring multiple attributes.”
Quote in the paperSubstantial claim - Interpretationreasoning
Predictive modelling plays a pivotal role in deriving actionable insights for effective process control.
“Predictive modelling plays a pivotal role in deriving actionable insights for effective process control.”
Quote in the paperSubstantial claim - Premisenone given
A key challenge for LSPR biosensors is dependence on highly specific ligands, as sensitivity and specificity are dictated by ligand selection.
“However, a key challenge lies in the dependence on highly specific ligands, as the sensitivity and specificity of LSPR biosensors are dictated by ligand selection.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Even techniques once considered impractical for PAT implementation, such as chromatography and mass spectrometry, have become viable PAT tools because of innovations.
“Even techniques once considered impractical for PAT implementation, such as chromatography and mass spectrometry have become viable PAT tools because of these innovations.”
Quote in the paperSubstantial claim - Interpretationnone given
The reluctancy to implement PAT on a commercial scale is largely due to the perceived increased burden of regulatory submissions.
“This reluctancy is largely due to the perceived increased burden of regulatory submissions.”
Quote in the paperNot a substantial claim- Rests on an assumption: The reluctancy to implement PAT on a commercial scale is largely due to the perceived increased burden of regulatory submissions.
- Interpretationreasoning
Enhancements in data automation, streamlined workflows, data pipelines connecting enterprise systems and predictive modelling, combined with DT, hold the potential to realize the vision of real-time process monitoring and real-time product release.
“Enhancements in data automation, streamlined workflows, the establishment of data pipelines connecting enterprise systems and predictive modelling, combined with DT, hold the potential to realize the vision of real‐time process monitoring and real‐time product release.”
Quote in the paperSubstantial claim - Premisecitation
LSPR biosensors can distinguish aggregates and monomers based on the enhanced apparent affinity of aggregates due to their interactions with multiple ligands.
“For example, aggregates have enhanced apparent affinity due to their interactions with multiple ligands. Based on this principle, a distinction between aggregates and monomers can be made [97].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [97] T. Tran, E. Martinsson, S. Vargas, I. Lundström, C.‐F. Mandenius, and D. Aili, “ Nanoplasmonic Avidity‐Based Detection and Quantification of IgG Aggregates,” Analytical Chemistry 94 (2022): 15754– 15762, 10.1021/acs.analchem.2c03446. 36318700 PMC9670026 source
Checked before — its earlier verdict is held back until a new check runs.
- Interpretationreasoning
There is still some hesitancy to implement PAT on a commercial scale.
“Although it is widely acknowledged that a PAT framework aligned with a QbD approach is necessary to achieve continuous manufacturing, process control and RTR) [40], there is still some hesitancy to implement PAT on a commercial scale.”
Quote in the paperNot a substantial claim- Rests on an assumption: There is still some hesitancy to implement PAT on a commercial scale.
- Premisecitation
Immobilized fluorescent reporters have been employed in monitoring the capture step in downstream processing, where column breakthrough of 5% could be detected.
“Immobilized fluorescent reporters had been recently employed in the monitoring of the capture step in downstream processing, where column breakthrough of 5% could be detected [93].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [93] A. Goyal, B. Vu, V. Maranholkar, U. Patil, K. Kourentzi, and R. C. Willson, “ Continuous Monitoring of IgG Using Immobilized Fluorescent Reporters,” Biotechnology and Bioengineering 120 (2023): 482– 490, 10.1002/bit.28254. 36225160
Not checked in the free run.
- Interpretationreasoning
Chromatography and its hyphenated techniques such as mass spectrometry offer the required specificity.
“In contrast, chromatography, and its hyphenated techniques such as mass spectrometry offer the required specificity.”
Quote in the paperSubstantial claim - Premisecitation
Capillary electrophoresis coupled with a UV detector was implemented to monitor mAb isoforms in the eluents of CEX columns.
“Capillary electrophoresis coupled with a UV detector was implemented to monitor the mAb isoforms in the eluents of CEX columns.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [108] R. Kumar, D. Sarin, and A. S. Rathore, “ High‐Throughput Capillary Electrophoresis Analysis of Biopharmaceuticals Utilizing Sequential Injections,” Electrophoresis 44 (2023): 767– 774, 10.1002/elps.202200208. 36719057
Not checked in the free run.
- Interpretationreasoning
Biosensors require ligands with high affinity for the target analyte, which can sometimes pose a bottleneck.
“However, biosensors require ligands with high affinity for the target analyte, which can sometimes pose a bottleneck.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Measurement times for chromatography are still longer for true real-time analytics in DSP, where response time within a few seconds to minutes is essential.
“However, the measurement times are still longer for true real‐time analytics in DSP, where response time within a few seconds to minutes is essential.”
Quote in the paperSubstantial claim- Rests on an assumption: For true real-time analytics in downstream processing, response time within a few seconds to minutes is essential.
- Premisecitation
Harris et al. employed an IoR sensor in an in-line setup to measure protein concentrations in real time during the capture and ultrafiltration steps of downstream processing.
“Harris et al. employed a sensor based on Index of Refraction (IoR) forming an in‐line setup to measure the protein concentrations in real time during the capture and ultrafiltration steps of downstream processing.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [109] S. A. Harris, B. A. Patel, A. Gospodarek, et al., “ Determination of Protein Concentration in Downstream Biomanufacturing Processes by In‐Line Index of Refraction,” Biotechnology Progress 37 (2021): e3187, 10.1002/btpr.3187. 34164947 source
Checked before — its earlier verdict is held back until a new check runs.
- Premisecitation
The avidity effect leading to higher binding response in the LSPR biosensor has been utilized to monitor protein aggregates during affinity purification, enabling in-line detection of aggregates as low as 1%.
“This avidity effect leading to higher binding response in the LSPR biosensor has been utilized to monitor protein aggregates during affinity purification, enabling the in‐line detection of aggregates as low as 1% [98].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [98] T. Tran, R. Gustavsson, E. Martinsson, et al., “ In‐Line Fiber Optical Sensor for Detection of IgG Aggregates in Affinity Chromatography,” Journal of Chromatography A 1730 (2024): 465129, 10.1016/j.chroma.2024.465129. 38970875
Not checked in the free run.
- Interpretationreasoning
These constraints underscore the limitations of chromatography for real-time process control in downstream processing, where rapid and dynamic monitoring is essential.
“These constraints underscore the limitations of chromatography for real‐time process control in downstream processing, where rapid and dynamic monitoring is essential.”
Quote in the paperSubstantial claim
- May combine two claims. 52
- Classified as probably not a substantial claim. 24
May combine two claims.
PremisecitationThe IoR sensor accurately measured protein concentrations during ultrafiltration and during the capture step.
“The sensor was able to accurately measure the protein concentrations during ultrafiltration and during the capture step [109].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [109] S. A. Harris, B. A. Patel, A. Gospodarek, et al., “ Determination of Protein Concentration in Downstream Biomanufacturing Processes by In‐Line Index of Refraction,” Biotechnology Progress 37 (2021): e3187, 10.1002/btpr.3187. 34164947 source
May combine two claims.
PremisecitationMALS in an in-line setup during mAb purification monitored protein aggregation, leading to real-time results and immediate feedback control.
“Its application in real‐time protein analytics was explored by using it in an in‐line setup during the mAb purification to monitor the protein aggregation, which led to real‐time results and immediate feedback control [106].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [106] B. A. Patel, A. Gospodarek, M. Larkin, et al., “ Multi‐Angle Light Scattering as a Process Analytical Technology Measuring Real‐Time Molecular Weight for Downstream Process Control,” Monoclonal Antibodies 10 (2018): 945– 950, 10.1080/19420862.2018.1505178. 30130442 PMC6204791 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationLSPR biosensing detects biomolecular interactions by monitoring shifts in the LSPR band.
“LSPR biosensing detects biomolecular interactions by monitoring shifts in this band.”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [95] H. Zhang, X. Zhou, X. Li, P. Gong, Y. Zhang, and Y. Zhao, “ Recent Advancements of LSPR Fiber‐Optic Biosensing: Combination Methods, Structure, and Prospects,” Biosensors 13 (2023): 405, 10.3390/bios13030405. 36979617 PMC10046874 source
- cites [96] T. Tran, E. Martinsson, R. Gustavsson, et al., “ Process Integrated Biosensors for Real‐Time Monitoring of Antibodies for Automated Affinity Purification,” Analytical Methods 14 (2022): 4555– 4562, 10.1039/d2ay01567f. 36314900 source
May combine two claims.
PremisecitationNIR spectroscopy is particularly sensitive to bonds involving hydrogen, such as C-H, N-H, and O-H bonds, making it well-suited for probing water content and organic molecules in complex matrices.
“NIR is particularly sensitive to bonds involving hydrogen, such as C─H, N─H and O─H bonds, making it well‐suited for probing water content and organic molecules in complex matrices [60].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [60] M. B Simpson, “Near‐Infrared Spectroscopy for Process Analytical Technology: Theory Technology and Implementation,” in Process Analytical Technology (Wiley, 2010) 107– 155, 10.1002/9780470689592.ch5.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationRaman spectroscopy implemented in-line measured product aggregation and fragmentation in real time, with a calibration model achieving accurate quality measurements every 38 s.
“Wang et al. implemented Raman spectroscopy in‐line for measuring product aggregation and fragmentation in real time, developed a calibration model, achieving accurate quality measurements every 38 s.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [70] J. Wang, J. Chen, J. Studts, and G. Wang, “ In‐Line Product Quality Monitoring During Biopharmaceutical Manufacturing Using Computational Raman Spectroscopy,” Monoclonal Antibodies 15 (2023): 2220149, 10.1080/19420862.2023.2220149. 37288839 PMC10251777 source
Checked before — its earlier verdict is held back until a new check runs.
Probably not a substantial claim: may not pass S4 (based).
Interpretationnone givenPAT facilitates real-time monitoring and control by integrating advanced analytical tools and data-driven methodologies to optimize downstream processing.
“PAT facilitates real‐time monitoring and control by integrating advanced analytical tools and data‐driven methodologies to optimize downstream processing (DSP).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationProtein therapeutics have inherent advantages over small molecule drugs because they are highly specific and have complex functions in the body, causing less interference with normal biological processes and fewer adverse effects.
“Protein therapeutics, often referred to as biopharmaceuticals or biologics, have inherent advantages over small molecule drugs as they are highly specific and have complex functions in the body. As a result, they tend to cause less interference with normal biological processes and fewer adverse effects [2].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [2] B. Leader, Q. J. Baca, and D. E. Golan, “ Protein Therapeutics: A Summary and Pharmacological Classification,” Nature Reviews Drug Discovery 7 (2008): 21– 39, 10.1038/nrd2399. 18097458 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationN-linked glycosylation is the most common post-translational modification and impacts the biological activity, pharmacokinetics, and immunogenicity of therapeutic proteins.
“N‐linked glycosylation is the most common PTM and it impacts the biological activity, pharmacokinetics and immunogenicity of the therapeutic protein [36].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [36] A. Eon‐Duval, H. Broly, and R. Gleixner, “ Quality Attributes of Recombinant Therapeutic Proteins: An Assessment of Impact on Safety and Efficacy as Part of a Quality by Design Development Approach,” Biotechnology Progress 28 (2012): 608– 622, 10.1002/btpr.1548. 22473974 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationUV-Vis is particularly useful for analysing conjugated systems, including proteins and nucleic acids, and monitoring concentration changes in real time.
“Since UV‐Vis primarily detects chromophores, molecular regions where electron excitation is more likely, it is particularly useful for analysing conjugated systems, including proteins and nucleic acids, and monitoring concentration changes in real time [77].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [77] M. S. H. Akash and K. Rehman, “ Ultraviolet‐Visible (UV‐VIS) Spectroscopy,” in Essentials of Pharmaceutical Analysis (Springer, 2019) 29– 56, 10.1007/978-981-15-1547-7_3.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationMost biopharmaceuticals are produced via biosynthesis using genetically modified organisms, unlike small molecules, which are produced through chemical synthesis.
“Unlike small molecules, which are produced through chemical synthesis, most biopharmaceuticals are produced via biosynthesis, using genetically modified organisms [10].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [10] Y. B. Yu, M. B. Taraban, W. Wang, and K. T. Briggs, “ Improving Biopharmaceutical Safety Through Verification‐Based Quality Control,” Trends in Biotechnology 35 (2017): 1140– 1155, 10.1016/j.tibtech.2017.08.010. 28943031 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Interpretationnone givenRaman spectroscopy is one of the most widely used techniques in PAT, and with the advent of machine learning and model development, accurate detection and predictions can be done.
“It is one of the most widely used techniques in PAT, and with the advent of machine learning and model development, accurate detection and predictions can be done.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationFT-NIR has been used for on-line monitoring of column loading in Protein A chromatography, measuring target product concentration in harvested broth and column effluent every 3 s and detecting column breakthrough with high accuracy.
“Thakur et al. monitored the column loading using an on‐line FT‐NIR setup, where the target product concentration in both the harvested broth and column effluent from Protein A chromatography was measured in real time, for every 3 s and column breakthrough was detected successfully with high accuracy [63].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [63] G. Thakur, V. Hebbi, and A. S. Rathore, “ An NIR‐Based PAT Approach for Real‐Time Control of Loading in Protein A Chromatography in Continuous Manufacturing of Monoclonal Antibodies,” Biotechnology and Bioengineering 117 (2020): 673– 686, 10.1002/bit.27236. 31788777 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA dual wavelength LED photometric sensor configured at two wavelengths used UV absorbance to determine protein concentration during the tangential flow filtration process.
“Another study employed a dual wavelength LED photometric sensor configured at two different wavelengths, where UV absorbance was used in determining the protein concentration during the tangential flow filtration process (TFF) [79].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [79] F. Westwood, M. Ponstingl, and J. E. Dickens, “ Analytical Figures of Merit of a Dual‐Wavelength Absorbance Approach for Real‐Time Broad Protein Content Monitoring for Biomanufacturing,” Journal of Pharmaceutical and Biomedical Analysis 241 (2024): 115965, 10.1016/j.jpba.2024.115965. 38237541 source
May combine two claims.
PremisecitationIn ATR-FTIR monitoring during UFDF, rapid measurements in seconds and accurate concentration predictions were achieved.
“In both cases, rapid measurements in seconds and accurate concentration predictions were achieved.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [55] A. Milewska, G. Baekelandt, S. Boutaieb, V. Mozin, and A. Falconbridge, “ In‐Line Monitoring of Protein Concentration With MIR Spectroscopy During UFDF,” Engineering in Life Sciences 23 (2023): e2200050, 10.1002/elsc.202200050. 36751473 PMC9893749 source
Checked before — its earlier verdict is held back until a new check runs.
- cites [56] D. P. Wasalathanthri, H. Feroz, N. Puri, et al., “ Real‐Time Monitoring of Quality Attributes by In‐Line Fourier Transform Infrared Spectroscopic Sensors at Ultrafiltration and Diafiltration of Bioprocess,” Biotechnology and Bioengineering 117 (2020): 3766– 3774, 10.1002/bit.27532. 32776504 source
May combine two claims.
PremisecitationImplementing VPE systems has challenges: they are computer-controlled, can consume a significant footprint, involve various interchangeable components, and require routine cleaning and clearance verifications.
“However, there are some challenges in implementing VPE systems as they are computer‐controlled, can consume a significant footprint, involve various interchangeable components and require routine cleaning and clearance verifications [79].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [79] F. Westwood, M. Ponstingl, and J. E. Dickens, “ Analytical Figures of Merit of a Dual‐Wavelength Absorbance Approach for Real‐Time Broad Protein Content Monitoring for Biomanufacturing,” Journal of Pharmaceutical and Biomedical Analysis 241 (2024): 115965, 10.1016/j.jpba.2024.115965. 38237541 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMAM is a targeted and optimized analytical solution that uses high-resolution MS data and suitable software enabling automated identification and relative quantification of important PTMs.
“It is a targeted and optimized analytical solution that uses a combination of high‐resolution MS data and suitable software enabling automated identification and relative quantification of important PTMs [89].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [89] R. S. Rogers, N. S. Nightlinger, B. Livingston, P. Campbell, R. Bailey, and A. Balland, “ Development of a Quantitative Mass Spectrometry Multi‐Attribute Method for Characterization, Quality Control Testing and Disposition of Biologics,” Monoclonal Antibodies 7 (2015): 881– 890, 10.1080/19420862.2015.1069454. 26186204 PMC4623056 source
Checked before — its earlier verdict is held back until a new check runs.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenMultiple studies have been published in recent years where Raman was employed for real-time monitoring of various downstream processing steps.
“Multiple studies have been published in recent years where Raman was employed for real‐time monitoring of various downstream processing steps.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Interpretationnone givenSpectroscopic techniques provide rapid, non-invasive measurements, while biosensors offer high specificity for monitoring critical quality attributes.
“Spectroscopic techniques provide rapid, non‐invasive measurements, while biosensors offer high specificity for monitoring critical quality attributes.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationUV-Vis absorption spectrum provides quantitative information about the concentration and chemical structure of the analyte.
“The resulting absorbance spectrum therefore provides quantitative information about the concentration and chemical structure of the analyte [77].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [77] M. S. H. Akash and K. Rehman, “ Ultraviolet‐Visible (UV‐VIS) Spectroscopy,” in Essentials of Pharmaceutical Analysis (Springer, 2019) 29– 56, 10.1007/978-981-15-1547-7_3.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningSpectroscopy has been the most common technique employed for real-time analysis because it is non-destructive and can be easily integrated in-line or on-line to the process stream.
“Spectroscopy had been the most common technique employed for real‐time analysis due to its non‐destructive nature and ease of in‐line or on‐line integration to the process stream.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationFT-NIR has been integrated in-line for simultaneous monitoring of protein and excipient concentrations in antibody formulations during UFDF, with quantification done in real time in a few seconds.
“It has been integrated in‐line for the simultaneous monitoring of protein and excipient concentrations in antibody formulations during the UFDF, and the quantification was done in real time, in a few seconds [64].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [64] G. Thakur, V. Hebbi, and A. S. Rathore, “ Near Infrared Spectroscopy as a PAT Tool for Monitoring and Control of Protein and Excipient Concentration in Ultrafiltration of Highly Concentrated Antibody Formulations,” International Journal of Pharmaceutics 600 (2021): 120456, 10.1016/j.ijpharm.2021.120456. 33711473 source
Probably not a substantial claim: may not pass S4 (based).
Interpretationnone givenInnovations in automation and machine learning are bridging gaps in regulatory compliance and technology integration, accelerating the transition to intelligent manufacturing systems.
“Despite challenges in regulatory compliance and technology integration, innovations in automation and machine learning are bridging these gaps, accelerating the transition to intelligent manufacturing systems.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationEnhanced Raman variants (resonance Raman, SERS, SERRS, TERS) provide increased Raman signal, reduced limit of detection and reduced sample volume.
“Enhanced variants of Raman include resonance Raman, surface‐enhanced Raman (SERS), surface‐enhanced resonance Raman (SERRS) and tip‐enhanced Raman (TERS), all of which are used for their inherent advantages including increased Raman signal, reduced limit of detection and the usage of reduced sample volume [74].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [74] K. A. Esmonde‐White, M. Cuellar, and I. R. Lewis, “ The Role of Raman Spectroscopy in Biopharmaceuticals From Development to Manufacturing,” Analytical Bioanalytical Chemistry 414 (2022): 969– 991, 10.1007/s00216-021-03727-4. 34668998 PMC8724084 source
Not checked in the free run.
May combine two claims.
PremisecitationDownstream processing accounts for 80% of production expenses, largely driven by the high cost of Protein A resin and virus filtration.
“Purification often exceeds the cost of upstream manufacturing, with downstream processing accounting for 80% of production expenses, largely driven by the high cost of Protein A resin and virus filtration [14, 23].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [14] F. Demir, R. Albarri, and D. Ö. Ünal, “ An Overview of Biotechnological Drug's Various Techniques of Downstream Process, Guideline's and Different Chromatographic Analysis,” Current Pharmeutical Analysis 20 (2024), 729– 742, 10.2174/0115734129317408240903150800. source
- cites [23] K. Pandey, M. Pandey, V. Kumar, U. Aggarwal, and B. Singhal, “ Bioprocessing 4.0 in Biomanufacturing: Paving the Way for Sustainable Bioeconomy,” System Microbiological Biomanufacturing 4 (2024): 407– 424, 10.1007/s43393-023-00206-y. source
May combine two claims.
PremisecitationATR-FTIR has been implemented in-line during the UFDF step to monitor protein concentration with a simple one-point calibration algorithm or both protein and various excipient concentrations with a multivariate data analysis model.
“Recently, ATR‐FTIR has also been implemented in‐line during the UFDF step, to monitor the protein concentration with a simple one‐point calibration algorithm [55] or both protein and various excipient concentrations, with a multi‐variate data analysis (MVDA) model [56].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [55] A. Milewska, G. Baekelandt, S. Boutaieb, V. Mozin, and A. Falconbridge, “ In‐Line Monitoring of Protein Concentration With MIR Spectroscopy During UFDF,” Engineering in Life Sciences 23 (2023): e2200050, 10.1002/elsc.202200050. 36751473 PMC9893749 source
Checked before — its earlier verdict is held back until a new check runs.
- cites [56] D. P. Wasalathanthri, H. Feroz, N. Puri, et al., “ Real‐Time Monitoring of Quality Attributes by In‐Line Fourier Transform Infrared Spectroscopic Sensors at Ultrafiltration and Diafiltration of Bioprocess,” Biotechnology and Bioengineering 117 (2020): 3766– 3774, 10.1002/bit.27532. 32776504 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Interpretationnone givenRaman spectroscopy requires minimal sample preparation and is non-invasive and non-destructive to samples.
“Raman requires minimal sample preparation and is non‐invasive and non‐destructive to samples.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationnone givenATR-FTIR can monitor multiple parameters in real time and is effective when combined with algorithms for real-time prediction and control.
“ATR‐FTIR can monitor multiple parameters in real time, and it is an effective tool when combined with algorithms to make real‐time prediction and control.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningRecent advancements have addressed many Raman limitations, with multiple variants offering unique advantages over traditional methods.
“Many of these limitations have been addressed through recent advancements, with the development of multiple variants of Raman spectroscopy techniques offering unique advantages over traditional methods.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationBiopharmaceuticals are more complex than small molecule drugs, with therapeutic proteins being 50-1000 times larger.
“The drawbacks of the quality by testing (QbT) approach are even more pronounced for biopharmaceuticals, as they are more complex and involve therapeutic proteins being 50–1000 times larger than small molecule drugs.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [10] Y. B. Yu, M. B. Taraban, W. Wang, and K. T. Briggs, “ Improving Biopharmaceutical Safety Through Verification‐Based Quality Control,” Trends in Biotechnology 35 (2017): 1140– 1155, 10.1016/j.tibtech.2017.08.010. 28943031 source
Probably not a substantial claim: may not pass S3 (load-bearing).
Interpretationnone givenThe need for sample pretreatment can be a hurdle in implementing analytical techniques in an in-line or on-line fashion.
“However, the need of sample pretreatment can be a hurdle in the implementation of analytical techniques in an in‐line or on‐line fashion.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisereasoningMIR spectroscopy can provide direct information on bond-specific vibrations, making it powerful for identifying and quantifying specific molecular components and structural details in biomolecules.
“As MIR is based on fundamental vibrations, it can provide direct information on bond‐specific vibrations, making it a powerful technique for identifying and quantifying specific molecular components and structural details in biomolecules.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [49] J. P Coates, Infrared Spectroscopy for Process Analytical Applications in Process Analytical Technology (Wiley, 2010): 157– 194, 10.1002/9780470689592.ch6.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationPAT is essential to implement QbD and ensure real-time release of the product.
“This system is essential to implement QbD and ensure real‐time release (RTR) of the product [19].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [19] I. Clegg, “ Process Analytical Technology,” in Specification of Drug Substances and Products (Elsevier, 2020): 149– 173, 10.1016/b978-0-08-102824-7.00007-5.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationDifferent structures of the same protein are often present in biopharmaceutical preparations, making them heterogeneous mixtures including post-translational modifications such as glycosylation, oxidation, deamidation, aggregates, and fragments that impact drug stability and efficacy.
“Different structures of the same protein are often present in biopharmaceutical preparations, making them a heterogeneous mixture, including post‐translational modifications such as glycosylation, oxidation, deamidation, formation of aggregates and fragments impacting the stability and efficacy of the drug [35].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [35] M. M. Papathanasiou and C. Kontoravdi, “ Engineering Challenges in Therapeutic Protein Product and Process Design,” Current Opinion in Chemical Engineering 27 (2020): 81– 88, 10.1016/j.coche.2019.11.010. source
Checked before — its earlier verdict is held back until a new check runs.
May combine two claims.
PremisecitationMass spectrometry has not been considered for PAT as it is not feasible to implement in-line or on-line due to its need for sample preparation and associated complexity.
“However, it has not been considered for PAT as it is not feasible to implement in‐line or on‐line, due to its need for sample preparation and associated complexity [88].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [88] J. Diehm, L. Witting, F. Kirschhöfer, G. Brenner‐Weiß, and M. Franzreb, “ Micro Simulated Moving Bed Chromatography‐Mass Spectrometry as a Continuous On‐Line Process Analytical Tool,” Analytical Bioanalytical Chemistry 416 (2024): 373– 386, 10.1007/s00216-023-05023-9. 37946036 PMC10761468
Not checked in the free run.
May combine two claims.
PremisecitationCommon CQAs to monitor in downstream processing include process-related impurities such as host cell proteins and nucleic acids, and product-related impurities such as higher and lower molecular weight species and charge variants.
“The common CQAs to be monitored include process‐related impurities such as host cell proteins (HCP) and nucleic acids, as well as product‐related impurities such as higher and lower molecular weight species (HMW, LMW) and charge variants [34].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [34] MJ. Traylor, P. Bernhardt, BS. Tangarone, and J. Varghese, “ Chapter 47—Analytical Methods,” Biopharmaceutical Processing (Elsevier, 2018): 1001– 1049, 10.1016/b978-0-08-100623-8.00047-5.
Not checked in the free run.
May combine two claims.
PremisecitationOn-line UPLC took 30 min of measurement time per sample, highlighting the need for speeding up separation time to use chromatography as a realistic PAT tool.
“Though this significantly reduced the analytical turnaround time, it still took 30 min of measurement time per sample [84], highlighting the need for speeding up the separation time to be able to use chromatography as a realistic PAT tool.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [84] A. Godbole, L. Chen, J. Desai, et al., “ Implementation of Innovative Process Analytical Technologies to Characterize Critical Quality Attributes of Co‐Formulated Monoclonal Antibody Products,” Biotechnology and Bioengineering 122(2) (2024): 322– 332., 10.1002/bit.28881. 39511785 source
Checked before — its earlier verdict is held back until a new check runs.
May combine two claims.
PremisecitationμSMB processed the sample in 2-8 min, leading to continuous MS measurements of CQAs.
“Unlike traditional chromatography methods, where there is more time needed for separation, µSMB was able to process the sample in a significantly lower amount of time (2–8 min), leading to continuous MS‐measurements of CQAs [88].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [88] J. Diehm, L. Witting, F. Kirschhöfer, G. Brenner‐Weiß, and M. Franzreb, “ Micro Simulated Moving Bed Chromatography‐Mass Spectrometry as a Continuous On‐Line Process Analytical Tool,” Analytical Bioanalytical Chemistry 416 (2024): 373– 386, 10.1007/s00216-023-05023-9. 37946036 PMC10761468
Not checked in the free run.
May combine two claims.
PremisecitationFT-NIR has been utilized for monitoring continuous processing, specifically measuring concentrations in feed and retentate streams during UFDF with single-pass tangential flow filtration, with accurate concentration predictions via calibration models.
“FT‐NIR has also been utilized for monitoring continuous processing, specifically for measuring the concentrations in feed and retentate streams during the UFDF step with single‐pass tangential flow filtration (SPTFF). By applying appropriate calibration models, accurate concentration predictions can be achieved, facilitating effective process control [65].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [65] G. Thakur, S. Thori, and A. S. Rathore, “ Implementing PAT for Single‐Pass Tangential Flow Ultrafiltration for Continuous Manufacturing of Monoclonal Antibodies,” Journal of Membrane Science 613 (2020): 118492, 10.1016/j.memsci.2020.118492.
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenMIR and NIR are the two most commonly used infrared spectroscopy techniques in process analytical technology.
“MIR and NIR are the two most commonly used Infrared spectroscopy techniques in process analytical technology.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationRaman signals are often weaker than those in other spectroscopic methods, leading to challenges in detecting low-concentration analytes.
“Raman signals are often weaker than those in other spectroscopic methods, leading to challenges in detecting low‐concentration analytes [73].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [73] Y. K. Lin, H. Y. Leong, T. C. Ling, D.‐Q. Lin, and S.‐J. Yao, “ Raman Spectroscopy as Process Analytical Tool in Downstream Processing of Biotechnology,” Chinese Journal of Chemical Engineering 30 (2021): 204– 211, 10.1016/j.cjche.2020.12.008. source
May combine two claims.
PremisecitationNIR absorbance is several times lower than MIR absorbance, enabling deeper penetration and requiring minimal sample preparation.
“The absorbance of molecules in the NIR region is several times lower than MIR, enabling deeper penetration and requiring minimal sample preparation [51].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [51] E. N. Lewis, J. W. Schoppelrei, L. Makein, L. H. Kidder, and E. Lee, “ Near‐Infrared Chemical Imaging for Product and Process Understanding,” in Process Analytical Technology (Wiley, 2010): 245– 279, 10.1002/9780470689592.ch8.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationPurification of the target product in downstream processing takes only a few hours, unlike upstream processing, where several days are needed for cell culture and therapeutic protein production.
“Unlike upstream processing, where several days are needed for cell culture and therapeutic protein production, the purification of the target product in downstream processing takes only a few hours [31].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [31] J. Gomis‐Fons, H. Schwarz, L. Zhang, et al., “ Model‐Based Design and Control of a Small‐Scale Integrated Continuous End‐to‐End mAb Platform,” Biotechnology Progress 36 (2020): e2995, 10.1002/btpr.2995. 32233078
Not checked in the free run.
Probably not a substantial claim: may not pass S4 (based). May combine two claims.
Interpretationnone givenIntegration of chemometric modelling and digital twins enables predictive analytics and enhances process control, paving the way for real-time release of the product.
“Additionally, the integration of chemometric modelling and digital twins enables predictive analytics and enhances process control, paving the way for real‐time release (RTR) of the product.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningTechniques such as spectroscopy, chromatography, and biosensors have emerged as promising PAT solutions.
“Techniques such as spectroscopy, chromatography and biosensors have emerged as promising PAT solutions.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationBatch testing assumes that all units in a batch are uniform without variability and makes the product release decision based on analysis of one representative unit per batch, increasing the risk of poor-quality drugs.
“(ii) this approach assumes that all the units in a batch are uniform without any variability, and the decision for product release is made based on the analysis of one representative unit for every batch [10]. This increases the risk of the distribution of poor‐quality drugs.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [10] Y. B. Yu, M. B. Taraban, W. Wang, and K. T. Briggs, “ Improving Biopharmaceutical Safety Through Verification‐Based Quality Control,” Trends in Biotechnology 35 (2017): 1140– 1155, 10.1016/j.tibtech.2017.08.010. 28943031 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAn end-to-end automated online MAM system was developed for quality attributes monitoring during upstream manufacturing.
“Its utility for real‐time analysis in a PAT setting was recently explored where an end‐to‐end automated online MAM system was developed for quality attributes monitoring during upstream manufacturing [91].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [91] Y. Liu, C. Zhang, J. Chen, et al., “ A Fully Integrated Online Platform for Real Time Monitoring of Multiple Product Quality Attributes in Biopharmaceutical Processes for Monoclonal Antibody Therapeutics,” Journal of Pharmaceutical Sciences 111 (2022): 358– 367, 10.1016/j.xphs.2021.09.011. 34534574
Not checked in the free run.
May combine two claims.
PremisecitationWhile response times of up to 1 h are still sufficient for upstream processing, process decisions must be made within seconds for downstream processing.
“While response times of up to 1 h are still sufficient for USP, process decisions must be made within seconds for DSP [32], demanding technologies offering faster measurements.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [32] A. Dürauer, A. Jungbauer, and T. Scharl, “ Sensors and Chemometrics in Downstream Processing,” Biotechnology and Bioengineering 121 (2024): 2347– 2364, 10.1002/bit.28499. 37470278
Not checked in the free run.
May combine two claims.
PremisecitationBatch testing determines quality only after manufacture, leaving limited scope for corrective actions and potentially leading to rejected or failed batches.
“This has two main disadvantages: (i) the quality is only known after the manufacture of the drug, leaving very limited scope for corrective actions, potentially leading to rejected or failed batches”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [10] Y. B. Yu, M. B. Taraban, W. Wang, and K. T. Briggs, “ Improving Biopharmaceutical Safety Through Verification‐Based Quality Control,” Trends in Biotechnology 35 (2017): 1140– 1155, 10.1016/j.tibtech.2017.08.010. 28943031 source
May combine two claims.
PremisecitationComprehensive monitoring of all critical quality attributes cannot be achieved with a single analytical technology; an integrated approach combining multiple techniques, sensors, and control systems is essential for effective process monitoring and control.
“The comprehensive monitoring of all critical quality attributes (CQAs) cannot be achieved with a single analytical technology; instead, an integrated approach combining multiple techniques, sensors and control systems is essential for effective process monitoring and control [20, 26].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [20] A. Matte, “ Recent Advances and Future Directions in Downstream Processing of Therapeutic Antibodies,” International Journal of Molecular Sciences 23 (2022): 8663, 10.3390/ijms23158663. 35955796 PMC9369434
Not checked in the free run.
- cites [26] A. C. Fisher, M.‐H. Kamga, C. Agarabi, K. Brorson, S. L. Lee, and S. Yoon, “ The Current Scientific and Regulatory Landscape in Advancing Integrated Continuous Biopharmaceutical Manufacturing,” Trends in Biotechnology 37 (2019): 253– 267, 10.1016/j.tibtech.2018.08.008. 30241924 source
May combine two claims.
PremisecitationRaman spectroscopy has been employed for in-line CQA monitoring of IgG1 monoclonal antibody during Protein A chromatography, with a predictive model showing high predictive accuracy for target protein concentration and aggregates.
“Chen et al. employed Raman spectroscopy for in‐line CQA monitoring of IgG1 monoclonal antibody (mAb) during the Protein A chromatography process, where they developed a predictive model showing high predictive accuracy for various CQAs including target protein concentration and aggregates [38].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [38] J. Chen, J. Wang, R. Hess, G. Wang, J. Studts, and M. Franzreb, “ Application of Raman Spectroscopy During Pharmaceutical Process Development for Determination of Critical Quality Attributes in Protein A Chromatography,” Journal of Chromatography A 1718 (2024): 464721, 10.1016/j.chroma.2024.464721. 38341902
Not checked in the free run.
May combine two claims.
PremisecitationFully integrated continuous manufacturing provides advantages by reducing costs, improving quality, and speeding up product release.
“A fully integrated continuous manufacturing provides advantages by reducing the costs, improving the quality while speeding up the product release [24, 26]”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [24] K. B. Konstantinov and C. L Cooney, “ White Paper on Continuous Bioprocessing May 20–21 2014 Continuous Manufacturing Symposium,” Journal of Pharmaceutical Sciences 104 (2015): 813– 820, 10.1002/jps.24268. 28756843
Not checked in the free run.
- cites [26] A. C. Fisher, M.‐H. Kamga, C. Agarabi, K. Brorson, S. L. Lee, and S. Yoon, “ The Current Scientific and Regulatory Landscape in Advancing Integrated Continuous Biopharmaceutical Manufacturing,” Trends in Biotechnology 37 (2019): 253– 267, 10.1016/j.tibtech.2018.08.008. 30241924 source
May combine two claims.
PremisecitationThe UPLC effectively distinguished and identified co-formulated antibodies despite their high structural similarity, which would have been challenging with other techniques such as spectroscopy.
“The UPLC was able to effectively distinguish and identify the co‐formulated antibodies despite their high structural similarity [84] which would have been challenging with other techniques such as spectroscopy.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [84] A. Godbole, L. Chen, J. Desai, et al., “ Implementation of Innovative Process Analytical Technologies to Characterize Critical Quality Attributes of Co‐Formulated Monoclonal Antibody Products,” Biotechnology and Bioengineering 122(2) (2024): 322– 332., 10.1002/bit.28881. 39511785 source
Checked before — its earlier verdict is held back until a new check runs.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe FDA established the Emerging Technology Team (ETT), which collaborates with the pharmaceutical industry to provide early assessments and guidance during regulatory submissions for PAT, ensuring a smoother review process.
“To further support this initiative, the FDA established the ‘Emerging Technology Team’ (ETT), which collaborates with the pharmaceutical industry to provide early assessments and guidance during regulatory submissions for PAT, ensuring a smoother review process [119].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [119] USFDA, Advancement of Emerging Technology Applications for Pharmaceutical Innovation and Modernization Guidance for Industry (2017), https://www.fda.gov/regulatory‐information/search‐fda‐guidance‐documents/advancement‐emerging‐technology‐applications‐pharmaceutical‐innovation‐and‐modernization‐guidance.
Not checked in the free run.
May combine two claims.
PremisecitationDigital twins have been recently constructed for IEX processes, systematically integrated with the HPLC system and a server computer; the DT predicted elution profiles, enabling automated collection control.
“For instance, DTs have been recently constructed for ion‐exchange chromatography (IEX) processes, and are systematically integrated with the HPLC system and a server computer. The DT was able to predict the elution profiles, enabling automated collection control [114].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [114] C. Shi, X. Chen, X. Zhong, Y. Yang, D. Lin, and R. Chen, “ Realization of Digital Twin for Dynamic Control Toward Sample Variation of Ion Exchange Chromatography in Antibody Separation,” Biotechnology and Bioengineering 121 (2024): 1702– 1715, 10.1002/bit.28660. 38230585 source
Checked before — its earlier verdict is held back until a new check runs.
May combine two claims.
PremisecitationLSPR biosensors are less sensitive to changes in temperature, sample composition and vibrations, and unlike spectroscopic techniques, they do not require advanced data analysis to extract product concentrations.
“LSPR biosensors are less sensitive to changes in temperature, sample composition and vibrations, and unlike spectroscopic techniques, they do not require advanced data analysis to extract product concentrations [96].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [96] T. Tran, E. Martinsson, R. Gustavsson, et al., “ Process Integrated Biosensors for Real‐Time Monitoring of Antibodies for Automated Affinity Purification,” Analytical Methods 14 (2022): 4555– 4562, 10.1039/d2ay01567f. 36314900 source
Checked before — its earlier verdict is held back until a new check runs.
Probably not a substantial claim: may not pass S3 (load-bearing).
Interpretationnone givenSpectroscopic techniques have been widely employed in PAT due to their non-destructive nature, minimal sample preparation requirement and ease of in-line or on-line implementation.
“Spectroscopic techniques have been widely employed in PAT, due to their non‐destructive nature, minimal sample preparation requirement and ease of in‐line or on‐line implementation.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisenone givenThe FDA has been actively encouraging industries to adopt PAT and transition to a QbD approach.
“Nevertheless, the FDA has been actively encouraging industries to adopt PAT and transition to a QbD approach.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningWhile on-line implementation of chromatography is technically feasible, in-line integration has so far been inherently impractical due to the operational nature of the technique.
“While on‐line implementation of chromatography is technically feasible, in‐line integration has so far been inherently impractical due to the operational nature of the technique.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationnone givenSpectroscopic techniques fall behind in offering high specificity, requiring heavy and advanced data processing to derive meaningful insights.
“However, they still fall behind in terms of offering high specificity, requiring heavy and advanced data processing to derive meaningful insights.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationLSPR biosensors have a short response time (measurements in a few seconds), a large tunable dynamic range, and little need for sample pretreatment.
“It also has a short response time where the measurements can be done in a few seconds and a large, tunable dynamic range with little need for sample pretreatment [99].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [99] T. Tran, O. Eskilson, F. Mayer, et al., “ Real‐Time Nanoplasmonic Sensor for IgG Monitoring in Bioproduction,” Processes 8 (2020): 1302, 10.3390/pr8101302. source
Checked before — its earlier verdict is held back until a new check runs.
May combine two claims.
PremisecitationPedro et al. miniaturized a fluorescence dye-based microfluidic sensor and measured protein aggregation in under 10 min.
“Pedro et al., explored this potential by miniaturizing a fluorescence dye–based microfluidic sensor, and the measurement of protein aggregation was performed in under 10 min.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [94] M. N. S. Pedro, M. Isaksson, J. Gomis‐Fons, M. H. M. Eppink, B. Nilsson, and M. Ottens, “ Real‐Time Detection of mAb Aggregates in an Integrated Downstream Process,” Biotechnology and Bioengineering 120 (2023): 2989– 3000, 10.1002/bit.28466. 37309984 source
Checked before — its earlier verdict is held back until a new check runs.
May combine two claims.
InterpretationreasoningOn-line implementation of chromatography poses challenges, and in-line implementation currently remains largely impractical.
“Additionally, on‐line implementation poses challenges, and in‐line implementation currently remains largely impractical.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningAdvances such as micro-SMB chromatography have significantly decreased sampling and measurement times, yet these remain on the order of minutes, considerably slower than the seconds-scale response achievable with spectroscopic methods.
“Advances such as micro‐SMB chromatography have significantly decreased sampling and measurement times, yet these remain on the order of minutes, which is considerably slower than the seconds‐scale response achievable with spectroscopic methods.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningThough biosensing-based techniques look promising, studies demonstrating their application in real-time monitoring are limited, indicating a clear need for further research.
“Though biosensing‐based techniques look promising, studies demonstrating their application in real‐time monitoring are limited, indicating a clear need for further research.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningBiosensors can fill the gap by offering high specificity, while being easy to implement in-line or on-line, delivering faster measurements required for real-time control.
“Biosensors can fill in the much‐needed gap, by offering high specificity, while being easy to implement in‐line or on‐line, delivering faster measurements required for real‐time control.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMALS measures the intensity of scattered light at different scattering angles and correlates it to the molecular weight and concentrations of proteins.
“MALS is a light scattering–based technique that measures the intensity of scattered light at different scattering angles and correlates it to the molecular weight and concentrations of proteins [104].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [104] E. Sahin and C. J. Roberts, “ Therapeutic Proteins, Methods and Protocols—Size‐Exclusion Chromatography With Multi‐Angle Light Scattering for Elucidating Protein Aggregation Mechanisms,” Methods in Molecular Biology 899 (2012): 403– 423, 10.1007/978-1-61779-921-1_25. 22735967
Not checked in the free run.
The paper relies on this without support.
Raman spectra have minimal water interference, allowing Raman spectroscopy to analyse aqueous samples or biological specimens where water is a significant component without compromising spectral clarity.
“The advantage of Raman spectroscopy over IR spectroscopy is that Raman spectra have minimal water interference and thus can be used in analysing aqueous samples or biological specimens where water is a significant component without compromising spectral clarity.”
The paper relies on this without support.
Raman spectroscopy is sensitive to sample temperature, with higher temperature causing diffuse Raman lines and requiring temperature adjustments.
“Raman is also sensitive to the sample temperature, with higher temperature causing diffuse Raman lines, requiring temperature adjustments.”
The paper relies on this without support.
In continuous manufacturing, real-time monitoring of quality attributes is essential to maintain process control and ensure product consistency.
“In continuous manufacturing, real‐time monitoring of quality attributes is essential to maintain process control and ensure product consistency.”
The paper relies on this without support.
Achieving reliable real-time analysis requires high-precision measurements and accurate interpretation of complex data.
“Achieving reliable real‐time analysis requires not only high‐precision measurements but also accurate interpretation of complex data.”
The paper relies on this without support.
For true real-time analytics in downstream processing, response time within a few seconds to minutes is essential.
“where response time within a few seconds to minutes is essential.”
The paper relies on this without support.
There is still some hesitancy to implement PAT on a commercial scale.
“there is still some hesitancy to implement PAT on a commercial scale.”
The paper relies on this without support.
The reluctancy to implement PAT on a commercial scale is largely due to the perceived increased burden of regulatory submissions.
“This reluctancy is largely due to the perceived increased burden of regulatory submissions.”
The paper relies on this without support.
The biopharmaceutical industry is experiencing a paradigm shift in manufacturing, analytics and quality control.
“The biopharmaceutical industry is experiencing a paradigm shift in manufacturing, analytics and quality control.”
The paper relies on this without support.
Significant emphasis is placed on advancing analytical instrumentation and optimizing data workflows.
“While significant emphasis is placed on advancing analytical instrumentation and optimizing data workflows, it is equally critical to focus on implementing these advancements at a commercial scale.”
Cites
Abraham, J. M. (2010) · Brill | Nijhoff eBooks · doi:10.1163/ej.9789004163300.i-1081.897 · Cited by 2,612 · see citing works
Protein Therapeutics: A Summary and Pharmacological Classification
Leader, B., Baca, Q. J., & Golan, D. E. (2008) · Nature Reviews Drug Discovery · doi:10.1038/nrd2399 · Cited by 1,913 · see citing works
Yang, H., Yang, S., Kong, J., Dong, A., & Yu, S. (2015) · Nature Protocols · doi:10.1038/nprot.2015.024 · Cited by 1,293 · see citing works
Surface-enhanced Raman spectroscopy
Han, X., Rodriguez, R. S., Haynes, C. L., Ozaki, Y., & Zhao, B. (2022) · Nature Reviews Methods Primers · doi:10.1038/s43586-021-00083-6 · Cited by 935 · see citing works
Antibody–drug conjugates for cancer
Chau, C. H., Steeg, P. S., & Figg, W. D. (2019) · The Lancet · doi:10.1016/s0140-6736(19)31774-x · Cited by 820 · see citing works
Review of biosensing with whispering-gallery mode lasers
Toropov, N. A., Cabello, G., Serrano, M. P., Gutha, R. R., Rafti, M., & Vollmer, F. (2021) · Light Science & Applications · doi:10.1038/s41377-021-00471-3 · Cited by 413 · see citing works
Human Insulin from Recombinant DNA Technology
Johnson, I. S. (1983) · Science · doi:10.1126/science.6337396 · Cited by 402 · see citing works
Engineering protein-based therapeutics through structural and chemical design
Ebrahimi, S. B., & Samanta, D. (2023) · Nature Communications · doi:10.1038/s41467-023-38039-x · Cited by 398 · see citing works
Monoclonal Antibodies: A Review
Singh, S., Kumar, N. K., Dwiwedi, P., Charan, J., Kaur, R. J., Sidhu, P., & Chugh, V. K. (2017) · Current Clinical Pharmacology · doi:10.2174/1574884712666170809124728 · Cited by 372 · see citing works
White Paper on Continuous Bioprocessing May 20–21 2014 Continuous Manufacturing Symposium
Konstantinov, K. B., & Cooney, C. L. (2014) · Journal of Pharmaceutical Sciences · doi:10.1002/jps.24268 · Cited by 348 · see citing works
A review of bispecific antibodies and antibody constructs in oncology and clinical challenges
Suurs, F. V., Hooge, M. N. L., de Vries, E. G. E., & de Groot, D. J. A. (2019) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2019.04.006 · Cited by 291 · see citing works
Rogers, R. S., Nightlinger, N. S., Livingston, B., Campbell, P., Bailey, R., & Balland, A. (2015) · mAbs · doi:10.1080/19420862.2015.1069454 · Cited by 226 · see citing works
Eon‐Duval, A., Broly, H., & Gleixner, R. (2012) · Biotechnology Progress · doi:10.1002/btpr.1548 · Cited by 218 · see citing works
Aggregation of Protein Therapeutics Enhances Their Immunogenicity: Causes and Mitigation Strategies
Lundahl, M. L. E., Fogli, S., Colavita, P. E., & Scanlan, E. M. (2021) · RSC Chemical Biology · doi:10.1039/d1cb00067e · Cited by 212 · see citing works
Wasalathanthri, D. P., Rehmann, M. S., Song, Y., Gu, Y., Mi, L., Shao, C., Chemmalil, L., Lee, J., Ghose, S., Borys, M. C., et al. (2020) · Biotechnology and Bioengineering · doi:10.1002/bit.27461 · Cited by 177 · see citing works
Mid-infrared spectroscopy for protein analysis: potential and challenges
López‐Lorente, Á. I., & Mizaikoff, B. (2016) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-016-9375-5 · Cited by 172 · see citing works
Surface-enhanced infrared absorption spectroscopy
Kozuch, J., Ataka, K., & Heberle, J. (2023) · Nature Reviews Methods Primers · doi:10.1038/s43586-023-00253-8 · Cited by 165 · see citing works
Bioreactor productivity and media cost comparison for different intensified cell culture processes
Xu, S., Gavin, J., Jiang, R., & Chen, H. H. (2016) · Biotechnology Progress · doi:10.1002/btpr.2415 · Cited by 164 · see citing works
Fisher, A. C., Kamga, M.-H., Agarabi, C., Brorson, K., Lee, S. L., & Yoon, S. (2019) · Trends in Biotechnology · doi:10.1016/j.tibtech.2018.08.008 · Cited by 158 · see citing works
The role of Raman spectroscopy in biopharmaceuticals from development to manufacturing
Esmonde-White, K. A., Cuellar, M., & Lewis, I. R. (2022) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-021-03727-4 · Cited by 137 · cited 2× · see citing works
“For a more detailed discussion on surface-enhanced Raman techniques, and their implementation, readers are encouraged to refer to the excellent review articles available on this topic [74, 75].”
Alexovič, M., Dotsikas, Y., Bober, P., & Sabó, J. (2018) · Journal of Chromatography B · doi:10.1016/j.jchromb.2018.06.037 · Cited by 125 · see citing works
Multi‐Attribute Method for Quality Control of Therapeutic Proteins
Rogstad, S., Yan, H., Wang, X., Powers, D., Brorson, K., Damdinsuren, B., & Lee, S. (2019) · Analytical Chemistry · doi:10.1021/acs.analchem.9b03808 · Cited by 125 · see citing works
Miniaturized liquid chromatography focusing on analytical columns and mass spectrometry: A review
Maciel, E. V. S., de Toffoli, A. L., Neto, E. S., Nazário, C. E. D., & Lanças, F. M. (2019) · Analytica Chimica Acta · doi:10.1016/j.aca.2019.12.064 · Cited by 125 · see citing works
Şahin, E., & Roberts, C. J. (2012) · Methods in molecular biology · doi:10.1007/978-1-61779-921-1_25 · Cited by 120 · see citing works
Rolinger, L., Rüdt, M., & Hubbuch, J. (2020) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-020-02407-z · Cited by 116 · see citing works
Some, D., Amartely, H., Tsadok, A., & Lebendiker, M. (2019) · Journal of Visualized Experiments · doi:10.3791/59615 · Cited by 112 · see citing works
From Whispering Gallery Mode Resonators to Biochemical Sensors
Loyez, M., Adolphson, M., Liao, J., & Yang, L. (2023) · ACS Sensors · doi:10.1021/acssensors.2c02876 · Cited by 107 · see citing works
The potential of mid infrared spectroscopy (MIRS) for real time bioprocess monitoring
Roychoudhury, P., Harvey, L. M., & McNeil, B. W. J. (2006) · Analytica Chimica Acta · doi:10.1016/j.aca.2006.04.086 · Cited by 106 · see citing works
Essentials of Pharmaceutical Analysis
Akash, M. S. H., & Rehman, K. (2019) · Springer eBooks · doi:10.1007/978-981-15-1547-7 · Cited by 94 · see citing works
Quality by Design (QbD) application for the pharmaceutical development process
Lee, S.-H., Kim, J., Jee, J., Jang, D.-J., Park, Y.-J., & Kim, J.-E. (2022) · Journal of Pharmaceutical Investigation · doi:10.1007/s40005-022-00575-x · Cited by 88 · see citing works
Silva, T. C., Eppink, M. H. M., & Ottens, M. (2021) · Journal of Chemical Technology & Biotechnology · doi:10.1002/jctb.6792 · Cited by 79 · see citing works
Monitoring process-related impurities in biologics–host cell protein analysis
Pilely, K., Johansen, M. R., Lund, R. R., Kofoed, T., Jørgensen, T. K., Skriver, L., & Mørtz, E. (2021) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-021-03648-2 · Cited by 78 · see citing works
MINIATURIZATION IN MASS SPECTROMETRY
Mielczarek, P., Silberring, J., & Smoluch, M. T. (2019) · Mass Spectrometry Reviews · doi:10.1002/mas.21614 · Cited by 76 · see citing works
Quality by Design (QbD)-Based Process Development for Purification of a Biotherapeutic
Rathore, A. S. (2016) · Trends in biotechnology · doi:10.1016/j.tibtech.2016.01.003 · Cited by 73 · see citing works
Chimeric Fusion Proteins Used for Therapy: Indications, Mechanisms, and Safety
Baldo, B. A. (2015) · Drug Safety · doi:10.1007/s40264-015-0285-9 · Cited by 71 · see citing works
Continuous downstream bioprocessing for intensified manufacture of biopharmaceuticals and antibodies
Gerstweiler, L., Bi, J., & Middelberg, A. P. J. (2020) · Chemical Engineering Science · doi:10.1016/j.ces.2020.116272 · Cited by 66 · see citing works
Song, Y., Dubois, H., Hoffmann, M., D́Eri, S., Fromentin, Y., Wiesner, J., Pfenninger, A., Clavier, S., Pieper, A., Duhau, L., et al. (2021) · Journal of Chromatography B · doi:10.1016/j.jchromb.2021.122540 · Cited by 63 · see citing works
Thakur, G., Hebbi, V., & Rathore, A. S. (2020) · Biotechnology and Bioengineering · doi:10.1002/bit.27236 · Cited by 62 · see citing works
Applications of capillary electrophoresis for biopharmaceutical product characterization
Kumar, R., Guttman, A., & Rathore, A. S. (2021) · Electrophoresis · doi:10.1002/elps.202100182 · Cited by 62 · see citing works
Feidl, F., Garbellini, S., Vogg, S., Sokolov, M., Souquet, J., Broly, H., Butté, A., & Morbidelli, M. (2019) · Biotechnology Progress · doi:10.1002/btpr.2847 · Cited by 59 · see citing works
Boulet-Audet, M., Byrne, B., & Kazarian, S. G. (2014) · Analytical Chemistry · doi:10.1021/ac502529q · Cited by 59 · see citing works
Model‐based design and control of a small‐scale integrated continuous end‐to‐end mAb platform
Gomis‐Fons, J., Schwarz, H., Zhang, L., Andersson, N., Nilsson, B., Castan, A., Solbrand, A., Stevenson, J., & Chotteau, V. (2020) · Biotechnology Progress · doi:10.1002/btpr.2995 · Cited by 57 · see citing works
Bioprocessing 4.0 in Biomanufacturing: Paving the Way for Sustainable Bioeconomy
Pandey, K., Pandey, M., Kumar, V., Aggarwal, U., & Singhal, B. (2024) · Systems Microbiology and Biomanufacturing · doi:10.1007/s43393-023-00206-y · Cited by 57 · see citing works
Toward Biotherapeutic Product Real‐Time Quality Monitoring
Guerra, A., von Stosch, M., & Glassey, J. (2019) · Critical Reviews in Biotechnology · doi:10.1080/07388551.2018.1524362 · Cited by 56 · see citing works
Liu, Y., Zhang, C., Chen, J., Fernandez, J., Vellala, P., Kulkarni, T. A., Aguilar, I., Ritz, D. B., Lan, K., Patel, P., et al. (2021) · Journal of Pharmaceutical Sciences · doi:10.1016/j.xphs.2021.09.011 · Cited by 55 · see citing works
Engineering Challenges in Therapeutic Protein Product and Process Design
Papathanasiou, M. M., & Kontoravdi, C. (2020) · Current Opinion in Chemical Engineering · doi:10.1016/j.coche.2019.11.010 · Cited by 54 · see citing works
Yilmaz, D., Mehdizadeh, H., Navarro, D., Shehzad, A., O'Connor, M., & McCormick, P. (2020) · Biotechnology Progress · doi:10.1002/btpr.2947 · Cited by 51 · see citing works
Helgers, H., Schmidt, A., Lohmann, L. J., Vetter, F. L., Juckers, A., Jensch, C., Mouellef, M., Zobel-Roos, S., & Strube, J. (2021) · Processes · doi:10.3390/pr9010172 · Cited by 50 · see citing works
Goldrick, S., Umprecht, A., Tang, A., Zakrzewski, R., Cheeks, M., Turner, R., Charles, A., Les, K., Hulley, M., Spencer, C., et al. (2020) · Processes · doi:10.3390/pr8091179 · Cited by 48 · see citing works
Thakur, G., Thori, S., & Rathore, A. S. (2020) · Journal of Membrane Science · doi:10.1016/j.memsci.2020.118492 · Cited by 47 · see citing works
Fudu, M., Velayudhan, A., DiBella, E. E., Shervin, J., Felo, M., Teeters, M. A., & Alred, P. A. (2009) · Biotechnology Progress · doi:10.1002/btpr.168 · Cited by 46 · see citing works
What should next-generation analytical platforms for biopharmaceutical production look like?
Rathore, A. S., & Sarin, D. (2023) · Trends in biotechnology · doi:10.1016/j.tibtech.2023.08.008 · Cited by 46 · see citing works
Rolinger, L., Rüdt, M., Diehm, J., Chow-Hubbertz, J., Heitmann, M., Schleper, S., & Hubbuch, J. (2020) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-019-02318-8 · Cited by 45 · see citing works
Graf, T., Heinrich, K., Grunert, I., Wegele, H., Haberger, M., Bulau, P., & Leiss, M. (2020) · Journal of Pharmaceutical and Biomedical Analysis · doi:10.1016/j.jpba.2020.113251 · Cited by 44 · see citing works
Armstrong, A., Horry, K., Cui, T., Hulley, M. E., Turner, R. C., Farid, S. S., Goldrick, S., & Bracewell, D. G. (2021) · Journal of Chromatography A · doi:10.1016/j.chroma.2021.461914 · Cited by 40 · see citing works
Recent Advances and Future Directions in Downstream Processing of Therapeutic Antibodies
Matte, A. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23158663 · Cited by 40 · see citing works
At-line mid infrared spectroscopy for monitoring downstream processing unit operations
Capito, F., Skudas, R., Kolmar, H., & Hunzinger, C. (2015) · Process Biochemistry · doi:10.1016/j.procbio.2015.03.005 · Cited by 39 · see citing works
Jin, B., Bao, W., Wu, Z., & Xia, X. (2012) · Langmuir · doi:10.1021/la300819u · Cited by 36 · see citing works
Wasalathanthri, D. P., Feroz, H., Puri, N., Hung, J., Lane, G., Holstein, M., Chemmalil, L., Both, D., Ghose, S., Ding, J., et al. (2020) · Biotechnology and Bioengineering · doi:10.1002/bit.27532 · Cited by 35 · see citing works
Raman Spectroscopy as Process Analytical Tool in Downstream Processing of Biotechnology
Lin, Y. K., Leong, H. Y., Ling, T. C., Lin, D.-Q., & Yao, S.-J. (2021) · Chinese Journal of Chemical Engineering · doi:10.1016/j.cjche.2020.12.008 · Cited by 35 · see citing works
Rolinger, L., Rüdt, M., & Hubbuch, J. (2021) · Biotechnology and Bioengineering · doi:10.1002/bit.27894 · Cited by 33 · see citing works
Wang, J., Chen, J., Studts, J., & Wang, G. (2023) · mAbs · doi:10.1080/19420862.2023.2220149 · Cited by 33 · see citing works
Thakur, G., Hebbi, V., & Rathore, A. S. (2021) · International Journal of Pharmaceutics · doi:10.1016/j.ijpharm.2021.120456 · Cited by 30 · see citing works
Sensors and chemometrics in downstream processing
Dürauer, A., Jungbauer, A., & Scharl, T. (2023) · Biotechnology and Bioengineering · doi:10.1002/bit.28499 · Cited by 30 · see citing works
ATF for cell culture harvest clarification: mechanistic modelling and comparison with TFF
Hadpe, S. R., Sharma, A. K., Mohite, V. V., & Rathore, A. S. (2016) · Journal of Chemical Technology & Biotechnology · doi:10.1002/jctb.5165 · Cited by 29 · see citing works
Chemometrics in Process Analytical Technology (PAT)
Miller, C. E. (2010) · doi:10.1002/9780470689592.ch12 · Cited by 28 · see citing works
Graf, T., Naumann, L., Bonnington, L. S., Heckel, J., Spensberger, B., Klein, S., Brey, C., Nachtigall, R., Mroz, M., Hogg, T. V., et al. (2024) · Journal of Chromatography A · doi:10.1016/j.chroma.2024.465013 · Cited by 24 · see citing works
Improving Biopharmaceutical Safety Through Verification‐Based Quality Control
Yu, Y. B., Taraban, M. B., Wang, W., & Briggs, K. T. (2017) · Trends in Biotechnology · doi:10.1016/j.tibtech.2017.08.010 · Cited by 23 · see citing works
Patel, B. A., Gospodarek, A., Larkin, M., Kenrick, S. A., Haverick, M. A., Tugcu, N., Brower, M. A., & Richardson, D. D. (2018) · mAbs · doi:10.1080/19420862.2018.1505178 · Cited by 23 · see citing works
Nitika, N., Keerthiveena, B., Thakur, G., & Rathore, A. S. (2024) · Pharmaceutical Research · doi:10.1007/s11095-024-03663-9 · Cited by 23 · see citing works
Real‐Time Nanoplasmonic Sensor for IgG Monitoring in Bioproduction
Tran, T., Eskilson, O., Mayer, F., Gustavsson, R., Selegård, R., Lundström, I., Mandenius, C.-F., Martinsson, E., & Aili, D. (2020) · Processes · doi:10.3390/pr8101302 · Cited by 22 · see citing works
Jestel, N. L. (2010) · Wiley eBooks · doi:10.1002/9780470689592.ch7 · Cited by 20 · see citing works
Multi‐Dimensional Technology—Recent Advances and Applications for Biotherapeutic Characterization
Bouvarel, T., Camperi, J., & Guillarme, D. (2024) · Journal of Separation Science · doi:10.1002/jssc.202300928 · Cited by 20 · see citing works
Clegg, I. M. (2020) · Elsevier eBooks · doi:10.1016/b978-0-08-102824-7.00007-5 · Cited by 19 · see citing works
Naumann, L., Schlossbauer, P., Klingler, F., Hesse, F., Otte, K., & Neusüß, C. (2022) · Journal of Separation Science · doi:10.1002/jssc.202100865 · Cited by 19 · see citing works
Chen, J., Wang, J., Hess, R. T., Wang, G., Studts, J., & Franzreb, M. (2024) · Journal of Chromatography A · doi:10.1016/j.chroma.2024.464721 · Cited by 18 · see citing works
Process analytics 4.0: A paradigm shift in rapid analytics for biologics development
Wasalathanthri, D. P., Shah, R., Ding, J., Leone, A., & Li, Z. J. (2021) · Biotechnology Progress · doi:10.1002/btpr.3177 · Cited by 17 · see citing works
In‐Line Monitoring of Protein Concentration With MIR Spectroscopy During UFDF
Milewska, A., Baekelandt, G., Boutaieb, S., Mozin, V., & Falconbridge, A. (2023) · Engineering in Life Sciences · doi:10.1002/elsc.202200050 · Cited by 17 · see citing works
Near‐Infrared Spectroscopy for Process Analytical Technology: Theory, Technology and Implementation
Simpson, M. B. (2010) · Wiley eBooks · doi:10.1002/9780470689592.ch5 · Cited by 15 · see citing works
Real‐Time Detection of mAb Aggregates in an Integrated Downstream Process
São Pedro, M. N., Isaksson, M., Gomis‐Fons, J., Eppink, M. H. M., Nilsson, B., & Ottens, M. (2023) · Biotechnology and Bioengineering · doi:10.1002/bit.28466 · Cited by 15 · see citing works
Infrared Spectroscopy for Process Analytical Applications
Coates, J. P. (2010) · Wiley eBooks · doi:10.1002/9780470689592.ch6 · Cited by 14 · see citing works
Shi, C., Chen, X., Zhong, X., Yang, Y., Lin, D., & Chen, R. (2024) · Biotechnology and Bioengineering · doi:10.1002/bit.28660 · Cited by 13 · see citing works
Multi-attribute monitoring applications in biopharmaceutical analysis
Rathore, A. S., Sarin, D., Bhattacharya, S., & Kumar, S. (2024) · Journal of Chromatography Open · doi:10.1016/j.jcoa.2024.100166 · Cited by 13 · see citing works
Accurate and Rapid Protein Concentration Measurement of in‐Process, High Concentration Protein Pools
McKechnie, W. S., Tugcu, N., & Kandula, S. (2018) · Biotechnology Progress · doi:10.1002/btpr.2695 · Cited by 12 · see citing works
Harris, S. A., Patel, B. A., Gospodarek, A., Desai, J., de Janon Gutiérrez, A., Botonjic‐Sehic, E., Brower, M., & Pinto, N. D. S. (2021) · Biotechnology Progress · doi:10.1002/btpr.3187 · Cited by 12 · see citing works
Buskermolen, A. D., Michielsen, C. M. S., de Jong, A. M., & Prins, M. W. J. (2023) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2023.115934 · Cited by 12 · see citing works
Vaskó, D., Pantea, E., Domján, J., Fehér, C., Mózner, O., Sarkadi, B., Nagy, Z. K., Marosi, G. J., & Hirsch, E. (2024) · International Journal of Pharmaceutics · doi:10.1016/j.ijpharm.2024.124251 · Cited by 12 · see citing works
Automated quality analysis in continuous downstream processes for small-scale applications
Tallvod, S., Espinoza, D., Gomis‐Fons, J., Andersson, N., & Nilsson, B. (2023) · Journal of Chromatography A · doi:10.1016/j.chroma.2023.464085 · Cited by 11 · see citing works
Medl, M., Leisch, F., Dürauer, A., & Scharl, T. (2024) · Biotechnology Journal · doi:10.1002/biot.202300554 · Cited by 11 · see citing works
Tran, T., Martinsson, E., Gustavsson, R., Tronarp, O., Nilsson, M., Hansson, K. R., Lundström, I., Mandenius, C.-F., & Aili, D. (2022) · Analytical Methods · doi:10.1039/d2ay01567f · Cited by 10 · see citing works
Kumar, R., Sarin, D., & Rathore, A. S. (2023) · Electrophoresis · doi:10.1002/elps.202200208 · Cited by 10 · see citing works
Wu, C., Chan, B., Sarich, Z., Duan, Y., Chen, J., Song, J., Berke, M., Miranda, L. P., & Goudar, C. T. (2024) · Biotechnology and Bioengineering · doi:10.1002/bit.28649 · Cited by 10 · see citing works
Implementation of QbD for Manufacturing of Biologics—Has It Met the Expectations?
Rathore, A. S., Singh, S. K., Kumar, J., & Kapoor, G. (2018) · Elsevier eBooks · doi:10.1016/b978-0-08-100623-8.00048-7 · Cited by 9 · see citing works
Hebbi, V., Thakur, G., & Rathore, A. S. (2021) · Journal of Biotechnology · doi:10.1016/j.jbiotec.2020.10.006 · Cited by 9 · see citing works
Nanoplasmonic Avidity‐Based Detection and Quantification of IgG Aggregates
Tran, T., Martinsson, E., Vargas, S., Lundström, I., Mandenius, C.-F., & Aili, D. (2022) · Analytical Chemistry · doi:10.1021/acs.analchem.2c03446 · Cited by 9 · see citing works
Dasani, S. S., Palanki, R., Menon, P., & Bose, S. K. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-90300-4.00056-2 · Cited by 9 · see citing works
Simplifying Bioprocessing with Single-Pass TFF
Ayturk, E., & Forespring, C. (2016) · Genetic Engineering & Biotechnology News · doi:10.1089/gen.36.04.13 · Cited by 8 · see citing works
Lubken, R. M., Lin, Y., Haenen, S. R. R., Bergkamp, M. H., Yan, J., Nommensen, P. A., & Prins, M. W. J. (2024) · ACS Sensors · doi:10.1021/acssensors.4c01586 · Cited by 8 · see citing works
Near‐Infrared Chemical Imaging for Product and Process Understanding
Lewis, E. N., Schoppelrei, J. W., Makein, L. J., Kidder, L. H., & Lee, E. (2010) · Wiley eBooks · doi:10.1002/9780470689592.ch8 · Cited by 7 · see citing works
The purification of plasma proteins for therapeutic use
Brinkman, N. J., McCann, K. B., & Gooch, B. D. (2022) · Wiley eBooks · doi:10.1002/9781119719809.ch22 · Cited by 6 · see citing works
In-line fiber optical sensor for detection of IgG aggregates in affinity chromatography
Thúy, T. T., Gustavsson, R., Martinsson, E., Bergqvist, F., Axén, A., Lundström, I., Mandenius, C., & Aili, D. (2024) · Journal of Chromatography A · doi:10.1016/j.chroma.2024.465129 · Cited by 5 · see citing works
Fioretti, I., Kim, T. K., & Sponchioni, M. (2022) · Advances in chemical engineering · doi:10.1016/bs.ache.2022.03.002 · Cited by 4 · see citing works
Continuous monitoring of IgG using immobilized fluorescent reporters
Goyal, A., Vu, B. V., Maranholkar, V. M., Patil, U., Kourentzi, K. D., & Willson, R. C. (2022) · Biotechnology and Bioengineering · doi:10.1002/bit.28254 · Cited by 4 · see citing works
Diehm, J., Witting, L., Kirschhöfer, F., Brenner‐Weiß, G., & Franzreb, M. (2023) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-023-05023-9 · Cited by 4 · see citing works
Westwood, F., Ponstingl, M., & Dickens, J. E. (2024) · Journal of Pharmaceutical and Biomedical Analysis · doi:10.1016/j.jpba.2024.115965 · Cited by 4 · see citing works
Godbole, A., Chen, L., Desai, J., Raghava, S., Ruzanski, R., Patel, B., Appiah‐Amponsah, E., & Feng, H. (2025) · Biotechnology and Bioengineering · doi:10.1002/bit.28881 · Cited by 4 · see citing works
Traylor, M. J., Bernhardt, P., Tangarone, B. S., & Varghese, J. (2018) · Elsevier eBooks · doi:10.1016/b978-0-08-100623-8.00047-5 · Cited by 3 · see citing works
An overview of downstream processing in biologics
Kulothungan, G. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-15378-5.00010-3 · Cited by 3 · see citing works
Demir, F., Albarri, R., & Unal, D. O. (2024) · Current Pharmaceutical Analysis · doi:10.2174/0115734129317408240903150800 · Cited by 3 · see citing works
Blattner, C., Blattner, F. R., Biksacky, M., & Miller, W. (2015) · Genetic Engineering & Biotechnology News · doi:10.1089/gen.35.05.15 · Cited by 2 · see citing works
Behera, B. K., Prasad, R., & Behera, S. (2020) · New Paradigms of Living Systems · doi:10.1007/978-981-15-7590-7_3 · Cited by 2 · see citing works
Ultraviolet-Visible (UV-VIS) Spectroscopy
Akash, M. S. H., & Rehman, K. (2019) · Essentials of Pharmaceutical Analysis · doi:10.1007/978-981-15-1547-7_3
Flagged first, then by citations
Research works printed but not linked: 3
- Mikulic M., 2024, Global Pharmaceutical Industry—Statistics & Facts
- Thakur G., 2021, Near Infrared Spectroscopy as a Versatile PAT Tool for Continuous Downstream Bioprocessing, Pharmaceutical Technology, 45, 32
- Wasalathanthri D. P., 2020, Paving the Way for Real Time Process Monitoring in Biomanufacturing, American Pharmaceutical Review, 23, 54
Cited by
Sorted by citations
Biopharmaceutical analysis — current analytical challenges, limitations, and perspectives
Cunha, D. R., Garcia, M. B. Q., & Segundo, M. A. (2025) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-025-06036-2 · Cited by 26 · see citing works
Michielsen, C. M. S., Yan, J., Bergkamp, M. H., Lin, Y., Haenen, S. R. R., Lubken, R. M., Gräwe, A., Świetlikowska, A., de Jong, A. M., & Prins, M. W. J. (2025) · Angewandte Chemie International Edition · doi:10.1002/anie.202517725 · Cited by 4 · see citing works
Suksaeree, J., Monton, C., & Maneewattanapinyo, P. (2026) · AAPS PharmSciTech · doi:10.1208/s12249-026-03335-4 · Cited by 4 · see citing works
Menkudale, A. R., Poojary, P. V., Sarkar, S., & Lewis, S. A. (2026) · AAPS PharmSciTech · doi:10.1208/s12249-026-03437-z · Cited by 4 · see citing works
Nath, R., Nag, M., Chakraborty, S., Pandit, S., Lahiri, D., Sen, R., Biswas, B., Gill, H. S., Rajeev, M., Sharma, S., et al. (2026) · Next research. · doi:10.1016/j.nexres.2026.101672 · Cited by 3 · see citing works
Sekoai, P. T., Ezeokoli, O. T., Mufhandu, H. T., & Habimana, O. (2026) · Biofuels Bioproducts and Biorefining · doi:10.1002/bbb.70121 · Cited by 2 · see citing works
Zhang, J., & Chen, C. (2026) · Microorganisms · doi:10.3390/microorganisms14040858 · Cited by 2 · see citing works
Golzarijalal, M., Aickelin, U., & Otte, E. A. (2026) · Biotechnology and Bioengineering · doi:10.1002/bit.70213 · Cited by 2 · see citing works
Janssen, S. A. J., de Jong, A. M., & Prins, M. W. J. (2025) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2025.117808 · Cited by 1 · see citing works
Lam, S. C., Huggins, P., Vasudevan, S., Firme, B., Raiteri, L., & Gooley, A. A. (2026) · Journal of Pharmaceutical and Biomedical Analysis Open · doi:10.1016/j.jpbao.2026.100108 · Cited by 1 · see citing works
Vu, C., Janssen, S. A. J., de Jong, A. M., & Prins, M. W. J. (2026) · Nature Communications · doi:10.1038/s41467-026-71690-8 · Cited by 1 · see citing works
Al-Remawi, M. M., Aburub, F., Abdel‐Rahem, R. A., Al‐Akayleh, F., & Agha, A. S. A. A. (2026) · International Conference on Computational Intelligence Approaches and Applications (ICCIAA) · doi:10.1109/icciaa68481.2026.11543741 · Cited by 1 · see citing works
Pappas, V. M. (2026) · Purification · doi:10.3390/purification2030010 · Cited by 1 · see citing works
Michielsen, C. M. S., Yan, J., Bergkamp, M. H., Lin, Y., Haenen, S. R. R., Lubken, R. M., Gräwe, A., Świetlikowska, A., de Jong, A. M., & Prins, M. W. J. (2025) · Angewandte Chemie · doi:10.1002/ange.202517725 · Cited by 1 · see citing works
Guo, J., Xi, L., & Gao, H. (2026) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2026.04.014 · Cited by 1 · see citing works
Development strategies for engineered live biotherapeutic products for metabolic diseases
Yun, S., Choi, K.-S., Min, H., Jo, Y. K., & Jang, S. (2026) · Critical Reviews in Biotechnology · doi:10.1080/07388551.2026.2653692 · Cited by 1 · see citing works
Getting “sampling” right for reliable process monitoring: main challenges and solutions
Gorla, G., Iturrioz, J. A., Esbensen, K. H., & Amigo, J. M. (2026) · Frontiers in Analytical Science · doi:10.3389/frans.2026.1839552 · Cited by 1 · see citing works
Ai, R., Muhammad, N., Cui, Y., Wang, L., Wang, Y., Weng, S., Kakar, M. U., khan, S., & Ahmad, S. (2026) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2026.1867973 · Cited by 1 · see citing works
At-line analysis of antisense oligonucleotide purified fractions using fast chromatographic methods
Elmekawy, A., Hayward, L. J., Iwamoto, M., Matsunami, J., & Gharahdaghi, F. (2025) · Journal of Chromatography A · doi:10.1016/j.chroma.2025.466516
Dong, Q., Dou, M., & Yang, W. (2025) · International Conference on Intelligent Communication Networks and Computational Techniques (ICICNCT) · doi:10.1109/icicnct66124.2025.11232983
Xue, R., Huang, Y., & Ding, X. (2026) · Journal of Chromatography A · doi:10.1016/j.chroma.2026.466838
Prajapati, R., Darji, M., Eslami, S. M., Ranjbar, S., Jony, M. J. H., Zhen, Z., Wang, R. (., Tang, X. C., & Lu, X. (2026) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2026.115877
Fraga‐García, P., Díaz-Cano, C. E., Khutsishvili, S. S., Jurado-Davila, V., Abarca‐Cabrera, L., & Lengyel, J. (2026) · Nanoscale Advances · doi:10.1039/d6na00243a
Analytical Characterization and Stability Assessment of RNA-Based Vaccines
Alasmari, H., Alghannam, S. F., Almoammar, H., Alrabiah, D. K., Harthy, S. A., Alyamani, E. J., Alyahya, S. A., Alkhrayef, M. N., Fallatah, M., Al‐Khaldi, S., et al. (2026) · Pharmaceutics · doi:10.3390/pharmaceutics18070790
Pople, D., Wang, Z., Kozyryev, A., Patel, B. A., Appiah‐Amponsah, E., & Feng, H. (2026) · Pharmaceutical Research · doi:10.1007/s11095-026-04154-9
Advances in Miniaturized Bioreactors for Scalable Recombinant Protein Bioprocessing
Ray, H., Gupta, Y. D., & Bhandary, S. (2026) · Springer eBooks · doi:10.1007/978-3-032-22332-6_10
Wang, K., Zhang, F., Guo, Y., Feng, H., Chen, X., Wang, J., Wang, Y., Lu, Y., Zhang, Z., Jia, J., et al. (2026) · Chemical Engineering Journal · doi:10.1016/j.cej.2026.179924
Benavides, J., Mayolo‐Deloisa, K., González‐González, M., & Rito‐Palomares, M. (2026) · Separation and Purification Technology · doi:10.1016/j.seppur.2026.139570
Quinto, A. S. D. S., Sampaio, I. C. F., de Moura, I. V. L., Pimentel, A. B., Teixeira, R. R., Carvalho, S. M. S., de Jesus, G. L. S., & Franco, M. (2026) · Biomass · doi:10.3390/biomass6040057
Gaikwad, A. S. (2026) · Current Pharmaceutical Analysis · doi:10.1016/j.cpan.2026.08.004
Gubitosa, J., Rizzi, V., Fini, P., & Cosma, P. (2026) · Progress in Materials Science · doi:10.1016/j.pmatsci.2026.101820
Shi, C., Fang, M., Tian, D., Jing, S., Tang, S., Zhou, A., Qian, T., Cheng, H., Zhu, H., Gu, S., et al. (2026) · Biotechnology and Bioengineering · doi:10.1002/bit.70353
A Dynamic Modeling Framework for Real-Time Monitoring of Porcine Lung Tissue Decellularization
Wang, Z., Bedsaul, A., Hincher, C. G., Jimenez-Socha, M., White, S. E., Sze, D., Ducoste, J. J., Mora‐Navarro, C., & Freytes, D. O. (2026) · ACS Biomaterials Science & Engineering · doi:10.1021/acsbiomaterials.6c00414
Process Analytical Technology Integration in 3D Printing Processes: Benefits and Challenges
Pansare, S. J., Iqubal, M. K., Kayalar, C., Dongala, B. P., Shaikh, R., Thota, S. K., Rahman, Z., & Khan, M. A. (2026) · AAPS PharmSciTech · doi:10.1208/s12249-026-03526-z
Guo, Y., Schiemer, R., Wang, G., Studts, J., & Hubbuch, J. J. (2026) · Vibrational Spectroscopy · doi:10.1016/j.vibspec.2026.103960
Continuous Downstream Processing in Biopharmaceutical Manufacturing: A Review
Katakam, S., & Hefti, E. (2026) · Journal of Pharmaceutical Innovation · doi:10.1007/s12247-026-10914-2
Process analytical technology (PAT) and real-time control in chemical manufacturing
Yan, Y. (2026) · Advances in Differential Equations and Control Processes · doi:10.59400/adecp3800
Zhaxybayeva, A. G., Yevloyeva, K., Kaliyeva, S. S., Nurmukhanbetova, N. N., Ostretsova, I., Kassenova, N., Kazyakhmetova, D., & Yeskendirova, A. (2026) · Organics · doi:10.3390/org7040040
Bhawnani, R. R., Royo, M. D. C. P., Kadambi, R. P., Hatas, A., Burcat, S., Arnold, T., Al‐Mahayni, H., Braatz, R. D., & Myerson, A. S. (2026) · Biotechnology and Bioengineering · doi:10.1002/bit.70372
DEVELOPMENT OF A PLATFORM PROCESS FOR THE PURIFICATION OF THERAPEUTIC ANTIBODIES*
Li, Y., & Zhu, M. (2026) · Wiley eBooks · doi:10.1002/9781394278572.ch11
Popov, S. P., Manuilenko, V. A., Koshlan, V., Maslakov, K. I., Evtushenko, E. G., Nikitina, V. N., Karastsialiova, A. R., Proskurnin, М. А., & Mikheev, I. V. (2026) · Analytica Chimica Acta · doi:10.1016/j.aca.2026.346359
Huaman, M. C., Condor, J. D. L. C., Navarro, J. A. C., Vilcarromero, J. J. F., & Acosta, A. K. N. (2026) · International Conference on Robotics and Automation Sciences (ICRAS) · doi:10.1109/icras70064.2026.11717928
Perfusion Cell Cultures: Is the Technology Worthwhile for Biopharmaceutical Production?
Iannacci, F., & Sponchioni, M. (2026) · ChemBioEng Reviews · doi:10.1002/cben.70074
Multi-parameter optimization of recombinant protein secretion in Bacillus subtilis: a review
Kholikov, A., Vokhidov, K., Хасановна, А. Б., Pulatova, O., Zhang, Y., Yang, S., Zhang, G., Chen, Y., & Аъзамханович, М. А. (2026) · Microbial Cell Factories · doi:10.1186/s12934-026-03155-y
Mahmoud, Y. A. ‐., & El-Badry, A. M. (2026) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-026-14051-1
- Authors
- Sathiyapriyan, P., Mukherjee, S., Vogel, T., Essen, L., Boerema, D., Vey, M., & Kalina, U.
- Affiliations
- Philipps University of Marburg (DE)
- Research & Development CSL Innovation GmbH Marburg Germany
- Research & Development CSL Behring LLC Kankakee Illinois USA
- Venue
- Analytical Science Advances
- Publisher
- Wiley
- Published
- 2025-05-29
- Volume
- 6
- Issue
- 1
- Pages
- e70013-e70013
- ISSN
- 2628-5452 (ISSN-L)
- PMC
- PMC12120361
- OpenAlex
- W4410867710
- Semantic Scholar
- 056ae7df6949ba22af4b64b19e2cee8608735e5b
- Cited by
- 45
- References
- 112
- Citations by year
- 2026: 39 · 2025: 6
- FWCI
- 3.95
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Analytical Science Advances (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein purification and stability
- Life Sciences › Immunology and Microbiology › Immunology › Biosimilars and Bioanalytical Methods
- Physical Sciences › Chemistry › Analytical Chemistry › Spectroscopy and Chemometric Analyses
- Keywords
- process analytical technology, downstream processing, biopharmaceuticals, therapeutic proteins, real-time monitoring, quality by design, spectroscopy, chromatography, biosensors, chemometrics, digital twin, continuous production, machine learning, bioproduction
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-11-06.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-11-06.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review