Opportunities and challenges of real-time release testing in biopharmaceutical manufacturing
Abstract
Real‐time release testing (RTRT) is defined as “the ability to evaluate and ensure the quality of in‐process and/or final drug product based on process data, which typically includes a valid combination of measured material attributes and process controls” (ICH Q8[R2]). This article discusses sensors (process analytical technology, PAT) and control strategies that enable RTRT for the spectrum of critical quality attributes (CQAs) in biopharmaceutical manufacturing. Case studies from the small‐molecule and biologic pharmaceutical industry are described to demonstrate how RTRT can be facilitated by integrated manufacturing and multivariable control strategies to ensure the quality of products. RTRT can enable increased assurance of product safety, efficacy, and quality—with improved productivity including faster release and potentially decreased costs—all of which improve the value to patients. To implement a complete RTRT solution, biologic drug manufacturers need to consider the special attributes of their industry, particularly sterility and the measurement of viral and microbial contamination. Continued advances in on‐line and in‐line sensor technologies are key for the biopharmaceutical manufacturing industry to achieve the potential of RTRT. Related article: http://onlinelibrary.wiley.com/doi/10.1002/bit.26378/full
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OD has a high limit of quantitation and a small linear range, commonly two orders of magnitude.
“The high limit of quantitation and small linear range of OD, commonly two orders of magnitude in size, could be improved by spectrophotometers with shorter or variable path lengths.”
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Cites
Proteomic analysis of post-translational modifications
Mann, M., & Jensen, O. N. (2003) · Nature Biotechnology · doi:10.1038/nbt0303-255 · Cited by 2,136 · see citing works
Next-generation sequencing transforms today's biology
Schuster, S. C. (2007) · Nature Methods · doi:10.1038/nmeth1156 · Cited by 1,813 · see citing works
A Combined Pore Blockage and Cake Filtration Model for Protein Fouling during Microfiltration
Ho, C., & Zydney, A. L. (2000) · Journal of Colloid and Interface Science · doi:10.1006/jcis.2000.7231 · Cited by 813 · see citing works
Mascia, S., Heider, P. L., Zhang, H., Lakerveld, R., Benyahia, B., Barton, P. I., Braatz, R. D., Cooney, C. L., Evans, J. M. B., Jamison, T. F., et al. (2013) · Angewandte Chemie International Edition · doi:10.1002/anie.201305429 · Cited by 603 · see citing works
Self-citationSteric mass‐action ion exchange: Displacement profiles and induced salt gradients
Brooks, C. A., & Cramer, S. M. (1992) · AIChE Journal · doi:10.1002/aic.690381212 · Cited by 564 · see citing works
Surface Plasmon Resonance: Applications in Understanding Receptor–Ligand Interaction
Pattnaik, P. (2005) · Applied Biochemistry and Biotechnology · doi:10.1385/abab:126:2:079 · Cited by 358 · 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
Advances and New Directions in Crystallization Control
Nagy, Z. K., & Braatz, R. D. (2012) · Annual Review of Chemical and Biomolecular Engineering · doi:10.1146/annurev-chembioeng-062011-081043 · Cited by 334 · see citing works
Self-citationSingle-use disposable technologies for biopharmaceutical manufacturing
Shukla, A. A., & Gottschalk, U. (2012) · Trends in biotechnology · doi:10.1016/j.tibtech.2012.10.004 · Cited by 266 · 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
Dynamic model of CHO cell metabolism
Nolan, R. P., & Lee, K. (2010) · Metabolic Engineering · doi:10.1016/j.ymben.2010.09.003 · Cited by 207 · see citing works
Ahn, J., Bones, J., Yu, Y. Q., Rudd, P. M., & Gilár, M. (2009) · Journal of Chromatography B · doi:10.1016/j.jchromb.2009.12.013 · Cited by 193 · see citing works
Fornelli, L., Ayoub, D., Aizikov, K., Beck, A., & Tsybin, Y. O. (2014) · Analytical Chemistry · doi:10.1021/ac4036857 · Cited by 178 · see citing works
Chen, X., Wang, Y., Zhang, Y., Chen, Z., Liu, Y., Li, Z., & Li, J. (2014) · Analytical Chemistry · doi:10.1021/ac404070m · Cited by 171 · see citing works
Moradian, A., Kalli, A., Sweredoski, M. J., & Hess, S. Y. (2013) · PROTEOMICS · doi:10.1002/pmic.201300256 · Cited by 161 · see citing works
Ultrafiltration membrane performance: Effects of pore blockage/constriction
Polyakov, Y., & Zydney, A. L. (2013) · Journal of Membrane Science · doi:10.1016/j.memsci.2013.01.052 · Cited by 154 · see citing works
Modeling of growth and energy metabolism of Pichia pastoris producing a fusion protein
Jahic, M., Rotticci‐Mulder, J. C., Martinelle, M., et al. (2002) · Bioprocess and Biosystems Engineering · doi:10.1007/s00449-001-0274-5 · Cited by 152 · see citing works
Redman, E. A., Batz, N. G., Mellors, J. S., & Ramsey, J. M. (2015) · Analytical Chemistry · doi:10.1021/ac503964j · Cited by 136 · see citing works
Berry, B. N., Dobrowsky, T. M., Timson, R. C., Kshirsagar, R., Ryll, T., & Wiltberger, K. (2015) · Biotechnology Progress · doi:10.1002/btpr.2205 · Cited by 135 · see citing works
Applications of CE SDS gel in development of biopharmaceutical antibody‐based products
Rustandi, R. R., Washabaugh, M. W., & Wang, Y. (2008) · Electrophoresis · doi:10.1002/elps.200700958 · Cited by 123 · see citing works
General hybrid multizonal/CFD approach for bioreactor modeling
Bezzo, F., Macchietto, S., & Pantelides, C. C. (2003) · AIChE Journal · doi:10.1002/aic.690490821 · Cited by 110 · see citing works
Myerson, A. S., Krumme, M., Nasr, M. M., Thomas, H., & Braatz, R. D. (2014) · Journal of Pharmaceutical Sciences · doi:10.1002/jps.24311 · Cited by 107 · see citing works
Self-citationModel‐based design of a plant‐wide control strategy for a continuous pharmaceutical plant
Lakerveld, R., Benyahia, B., Braatz, R. D., et al. (2013) · AIChE Journal · doi:10.1002/aic.14107 · Cited by 101 · see citing works
Self-citationLab-on-a-Chip hyphenation with mass spectrometry: strategies for bioanalytical applications
Oedit, A., Vulto, P., Ramautar, R., et al. (2014) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2014.08.009 · Cited by 96 · see citing works
Sosic, Z., Houde, D. J., Blum, A., Carlage, T., & Lyubarskaya, Y. V. (2008) · Electrophoresis · doi:10.1002/elps.200800157 · Cited by 92 · see citing works
Bush, D. R., Zang, L., Belov, A. M., Ivanov, A. R., & Karger, B. L. (2016) · Analytical Chemistry · doi:10.1021/acs.analchem.5b03218 · Cited by 92 · see citing works
Self-citationLakerveld, R., Benyahia, B., Heider, P. L., et al. (2014) · Organic Process Research & Development · doi:10.1021/op500104d · Cited by 91 · see citing works
Brestrich, N., Briskot, T., Osberghaus, A., & Hubbuch, J. J. (2014) · Biotechnology and Bioengineering · doi:10.1002/bit.25194 · Cited by 60 · see citing works
A framework for real‐time glycosylation monitoring (RT‐GM) in mammalian cell culture
Tharmalingam, T., Wu, C., Callahan, S., & Goudar, C. T. (2014) · Biotechnology and Bioengineering · doi:10.1002/bit.25520 · Cited by 58 · see citing works
Brestrich, N., Sanden, A., Kraft, A., et al. (2015) · Biotechnology and Bioengineering · doi:10.1002/bit.25546 · Cited by 56 · see citing works
Borg, N., Brodsky, Y., Moscariello, J., et al. (2014) · Journal of Chromatography A · doi:10.1016/j.chroma.2014.07.041 · Cited by 52 · see citing works
CFD simulation coupled with population balance equations for aerated stirred bioreactors
Zhang, H., Zhang, K., & Fan, S. (2009) · Engineering in Life Sciences · doi:10.1002/elsc.200800074 · Cited by 49 · see citing works
Real‐time product attribute control to manufacture antibodies with defined N‐linked glycan levels
Zupke, C., Brady, L. J., Slade, P. G., Clark, P. C. T., Caspary, R. G., Livingston, B., Taylor, L. D., Bigham, K., Morris, A. E., & Bailey, R. W. (2015) · Biotechnology Progress · doi:10.1002/btpr.2136 · Cited by 40 · see citing works
A label‐free methodology for selective protein quantification by means of absorption measurements
Hansen, S. K., Skibsted, E., Staby, A., & Hubbuch, J. J. (2011) · Biotechnology and Bioengineering · doi:10.1002/bit.23229 · Cited by 37 · see citing works
Severson, K., VanAntwerp, J. G., Natarajan, V., et al. (2015) · Computers & Chemical Engineering · doi:10.1016/j.compchemeng.2015.05.006 · Cited by 37 · see citing works
Self-citationAgarabi, C. D., Schiel, J. E., Lute, S. C., Chavez, B. K., Boyne, M. T., Brorson, K., Khan, M. A., & Read, E. K. (2015) · Journal of Pharmaceutical Sciences · doi:10.1002/jps.24420 · Cited by 36 · see citing works
Karkov, H. S., Sejergaard, L., & Cramer, S. M. (2013) · Journal of Chromatography A · doi:10.1016/j.chroma.2013.10.004 · Cited by 35 · see citing works
Determination of thermodynamic and kinetic properties of biomolecules by mass spectrometry
Gülbakan, B., Barylyuk, K. V., & Zenobi, R. (2014) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2014.08.003 · Cited by 34 · see citing works
Quantification of protein mixture in chromatographic separation using multi‐wavelength UV spectra
Kamga, M., Lee, H. W., Liu, J. J., & Yoon, S. (2013) · Biotechnology Progress · doi:10.1002/btpr.1712 · Cited by 32 · see citing works
Schmidberger, T., Posch, C., Sasse, A., Gülch, C., & Huber, R. (2015) · Biotechnology Progress · doi:10.1002/btpr.2105 · Cited by 28 · see citing works
Agarabi, C. D., Chavez, B. K., Lute, S. C., et al. (2016) · Biotechnology Progress · doi:10.1002/btpr.2402 · Cited by 22 · see citing works
Opportunities for bioprocess monitoring using FRET biosensors
Constantinou, A., & Polizzi, K. M. (2013) · Biochemical Society Transactions · doi:10.1042/bst20130103 · Cited by 18 · see citing works
Control systems technology in the advanced manufacturing of biologic drugs
Lu, A. E., Paulson, J. A., Mozdzierz, N. J., et al. (2015) · IEEE Conference on Control Applications (CCA) · doi:10.1109/cca.2015.7320824 · Cited by 15 · see citing works
An alternate diafiltration strategy to mitigate protein precipitation for low solubility proteins
Gefroh, E., & Lutz, H. (2014) · Biotechnology Progress · doi:10.1002/btpr.1872 · Cited by 7 · see citing works
A Dynamic, Mathematical Model for Quantitative Glycoprofiling Using Label-Free Lectin Microarrays
Salem, D. P., Nelson, J. T., Kim, S., et al. (2016) · ACS Sensors · doi:10.1021/acssensors.6b00121 · Cited by 6 · see citing works
Ouyang, W., Ko, S. H., Wang, A. Y., et al. (2015) · Cited by 1 · see citing works
A nanofluidic device for rapid biologics quality control
Ko, S. H., Ouyang, W., Chandra, D., et al. (2015) · Cited by 1 · see citing works
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Gimpel, A. L., Katsikis, G., Sha, S., Maloney, A. J., Hong, M. S., Nguyen, T. N. T., Wolfrum, J., Springs, S. L., Sinskey, A. J., Manalis, S. R., et al. (2021) · Molecular Therapy - Methods & Clinical Development · doi:10.1016/j.omtm.2021.02.010 · Cited by 185 · see citing works
Self-citationWasalathanthri, 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
Bioprocess Control: Current Progress and Future Perspectives
Rathore, A. S., Mishra, S., Nikita, S., & Priyanka, P. (2021) · Life · doi:10.3390/life11060557 · Cited by 141 · see citing works
- Authors
- Jiang, M., Severson, K. A., Love, J. C., Madden, H., Swann, P., Zang, L., & Braatz, R. D.
- Affiliations
- Massachusetts Institute of Technology (US)
- Biogen (United States) (US)
- Corresponding author
- Zang, Li
- Braatz, Richard D.
- Venue
- Biotechnology and Bioengineering
- Publisher
- Wiley
- Published
- 2017-08-29
- Volume
- 114
- Issue
- 11
- Pages
- 2445-2456
- ISSN
- 0006-3592 (ISSN-L)
- 1097-0290
- OpenAlex
- W2734360120
- Cited by
- 118
- References
- 47
- Citations by year
- 2026: 10 · 2025: 12 · 2024: 13 · 2023: 9 · 2022: 5 · 2021: 22 · 2020: 23 · 2019: 9 · 2018: 15
- FWCI
- 2.12
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Biotechnology and Bioengineering (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Biogen
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Fault Detection and Control Systems
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Advanced Statistical Process Monitoring
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Viral Infectious Diseases and Gene Expression in Insects
- Keywords
- real-time release testing, biopharmaceutical manufacturing, process analytical technology, critical quality attributes, multivariable control, manufacturing integration, in-line sensors, sterility assurance, viral contamination, microbial contamination, small molecule drugs, biologic drugs
- MeSH terms
- Biopharmaceutics, Drug Contamination, Drug Evaluation, Drug Industry, Pharmaceutical Preparations, Quality Control, Technology, Pharmaceutical
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