Soft sensors in bioprocessing: A status report and recommendations

Cited by (238)

Items 101–200 of 238

  1. Accelerating vaccine manufacturing development through model-based approaches: current advances and future opportunities
    Elham Ramin, Antonio Gaetano Cardillo, Reinhard Liebers, Johannes Schmölder, Eric von Lieres, Wim Van Molle, Bastian Niebel, Laurent C. Natalis, Irina Meln, Mónica Perea-Vélez et al. · 2023 · Current Opinion in Chemical Engineering
  2. A soft sensor based on online biomass measurements for the glucose estimation and control of fed-batch cultures of Bacillus thuringiensis
    Abdi Escalante-Sánchez, Josefina Barrera-Cortés, Hector Mario Poggi-Varaldo, Teresa Ponce‐Noyola, Ieroham Solomon Baruch · 2018 · Bioprocess and Biosystems Engineering
  3. Soft sensor for an orifice flowmeter in presence of disturbances
    Sravani Vemulapalli, Santhosh Krishnan Venkata · 2022 · Flow Measurement and Instrumentation
  4. Implementation of quality by design toward processing of food products
    Anurag Singh Rathore, Gautam Kapoor · 2017 · Preparative Biochemistry & Biotechnology
  5. The Kalman Filter for the Supervision of Cultivation Processes
    Yousefi-Darani, Abdolrahim, Paquet-Durand, Olivier, Hitzmann, Bernd · 2020 · Advances in Biochemical Engineering/Biotechnology
  6. Moisture soft sensor for agitated pan dryers using a hybrid modeling approach
    Zilong Wang, Reza Kamyar, Hamidreza Mehdizadeh, Pushkar Yashvant Pendse · 2020 · International Journal of Pharmaceutics
  7. Off-Gas-Based Soft Sensor for Real-Time Monitoring of Biomass and Metabolism in Chinese Hamster Ovary Cell Continuous Processes in Single-Use Bioreactors
    Tobias Wallocha, Oliver Popp · 2021 · Processes
  8. Perfusion Cell Culture Processes for Biopharmaceuticals
    Moritz Wolf, Jean‐Marc Bielser, Massimo Morbidelli · 2020 · Cambridge University Press eBooks
  9. Industrial steam systems: Strategic framework with proxy measurements to evaluate the total cost of steam
    Dominik Seiler, Dan Donovan, Garret E. O’Donnell · 2019 · Journal of Cleaner Production
  10. Data-Driven Soft Sensor Model Based on Deep Learning for Quality Prediction of Industrial Processes
    Xianglin Zhu, Khalil Ur Rehman, Bo Wang, Muhammad Shahzad, Ahmad Hassan · 2021 · SN Computer Science
  11. Deployment of metabolic heat rate based soft sensor for estimation and control of specific growth rate in glycoengineered Pichia pastoris for human interferon alpha 2b production
    Satya Sai Pavan, Sivakumar Rathinavelu, Naresh Mohan, Senthilkumar Sivaprakasam · 2022 · Journal of Biotechnology
  12. Microbial technologies for biotherapeutics production: Key tools for advanced biopharmaceutical process development and control.
    Dénes Zalai, J. Kopp, Bence Kozma, Michael Küchler, C. Herwig, Julian Kager · 2020 · Drug Discovery Today : Technologies
  13. An adaptive soft‐sensor for advanced real‐time monitoring of an antibody‐drug conjugation reaction
    Robin Schiemer, Jan Tobias Weggen, Katrin Marianne Schmitt, Jürgen J. Hubbuch · 2023 · Biotechnology and Bioengineering
  14. Online prediction of product titer and solubility of recombinant proteins in Escherichia coli fed‐batch cultivations
    Markus Luchner, Gerald Striedner, Monika Cserjan‐Puschmann, Florian Strobl, Karl Bayer · 2014 · Journal of Chemical Technology & Biotechnology
  15. Studying pharmacodynamic effects in cell cultures by chemical fingerprinting − SIA electronic tongue versus 2D fluorescence soft sensor
    Marcin Zabadaj, Aleksandra Szuplewska, Dominika Kalinowska, M. Chudy, Patrycja Ciosek · 2018 · Sensors and Actuators B Chemical
  16. Soft Sensor-Based Monitoring and Efficient Control Strategies of Biomass Concentration for Continuous Cultures of Haloferax mediterranei and Their Application to an Industrial Production Chain
    Thomas Mainka, Nicole Mahler, Christoph Herwig, Stefan Pflügl · 2019 · Microorganisms
  17. Ex situonline monitoring: application, challenges and opportunities for biopharmaceuticals processes
    Paul Kröll, Patrick Sagmeister, Wieland N. Reichelt, Lukas Neutsch, Tobias Klein, Christoph Herwig · 2014 · Pharmaceutical Bioprocessing
  18. Fed-Batch Production of Bacterial Ghosts Using Dielectric Spectroscopy for Dynamic Process Control
    Andrea Meitz, Patrick Sagmeister, Werner Lubitz, Christoph Herwig, Timo Langemann · 2016 · Microorganisms
  19. A Perspective on PSE in Fermentation Process Development and Operation
    2015 · Computer-aided chemical engineering/Computer aided chemical engineering
  20. Bacterial Suspension Cultures
    Patrick Sagmeister, Mohammadhadi Jazini, Joachim Klein, Christoph Herwig · 2014 · Wiley eBooks
  21. Analysis of Transformed Upstream Bioprocess Data Provides Insights into Biological System Variation
    Anne Richelle, Boung Wook Lee, Rui M. C. Portela, Jonathan Raley, Moritz von Stosch · 2020 · Biotechnology Journal
  22. Model-Based Monitoring of Biotechnological Processes—A Review
    Velislava Lyubenova, Georgi Atanasov Kostov, Rositsa Stefanova Denkova-Kostova · 2021 · Processes
  23. Rapid monitoring of beer-quality attributes based on UV-Vis spectral data
    Henrique Coelho de Oliveira, Júlio Cézar Elias Da Cunha Filho, José Celso Rocha, Eutímio Gustavo Fernández Núñez · 2017 · International Journal of Food Properties
  24. Generalizability of Soft Sensors for Bioprocesses through Similarity Analysis and Phase-Dependent Recalibration
    Manuel Siegl, Manuel Kämpf, Dominik Geier, Björn Andreeßen, Sebastian Max, Michael Zavrel, Thomas Matthias Becker · 2023 · Sensors
  25. A Microfluidic Toolbox for the Development of In-Situ Product Removal Strategies in Biocatalysis
    Søren Heintz, Aleksandar Mitic, Rolf Hoffmeyer Ringborg, Ulrich Krühne, John M. Woodley, Krist V. Gernaey · 2016 · Journal of Flow Chemistry
  26. Observability-based sensor selection in fish ponds: Application to pond aquaculture in Indonesia
    Bagoes Muhammad Inderaja, Nurhayati Br Tarigan, M.C.J. Verdegem, Karel J. Keesman · 2022 · Aquacultural Engineering
  27. Nanomaterials and printing techniques for 2D and 3D soft electronics
    Lorenzo Migliorini, Sara Moon Villa, Tommaso Santaniello, Paolo Milani · 2022 · Nano Futures
  28. Design of a Soft Sensor for Monitoring Phosphorous Uptake in an EBPR Process
    Wenjin Zhang, Stephany P. Wei, Mari K.H. Winkler, Amy V. Mueller · 2022 · ACS ES&T Engineering
  29. Fed-Batch Fermentation – Design Strategies
    Silvia Ochoa · 2019 · Elsevier eBooks
  30. Modelling of the oxygen level response to feed rate perturbations in an industrial scale fermentation process
    Ola Johnsson, Jonas Andersson, Gunnar Lidén, Charlotta Johnsson, Tore J. Hägglund · 2015 · Process Biochemistry
  31. Present Status of Automation for Industrial Bioprocesses
    Rudolf Hausmann, Marius Henkel, Florian T. Hecker, Bernd Hitzmann · 2016 · Elsevier eBooks
  32. The need for smart microalgal bioprospecting
    Joan Labara Tirado, Andrei Herdean, Peter J. Ralph · 2025 · Natural Products and Bioprospecting
  33. Enabler for process analytical technology implementation in Pichia pastoris fermentation: Fluorescence‐based soft sensors for rapid quantitation of product titer
    Viki Chopda, Mili Pathak, Jyoti Batra, James Gomes, Anurag Singh Rathore · 2016 · Engineering in Life Sciences
  34. On-line monitoring of industrial interest Bacillus fermentations, using impedance spectroscopy
    Adrián Díaz Pacheco, Jabel Dinorín Téllez Girón, Francisco Javier Martínez Montes, Shirlley E. Martínez Tolibia, Víctor Eric López y López · 2021 · Journal of Biotechnology
  35. Investigating dielectric spectroscopy and soft sensing for nondestructive quality assessment of engineered tissues
    Shohanuzzaman Shohan, Yingyan Zeng, Xiaoyu Chen, Ran Jin, Rohan A. Shirwaiker · 2022 · Biosensors and Bioelectronics
  36. Recent Developments in Bioprocess Monitoring Systems
    Vida Rahmatnejad, Yunqian Wei, Govind Rao · 2023 · Cell engineering
  37. A Tool for On‐Line Monitoring Microalgal Bioprocesses Based on Gas Balance Analysis
    Guillaume Cogne, Fernando Robert Ferrel Ballestas, Mariana Titica, Jack Legrand · 2025 · Biotechnology and Bioengineering
  38. Stability analysis of slug flow control
    Adegboyega Bolu Ehinmowo, Yi Cao · 2016 · Systems Science & Control Engineering
  39. Multiobjective Optimization for Enhanced Production of Therapeutic Proteins in Escherichia coli: Application of Real-Time Dielectric Spectroscopy
    Nivedhitha Swaminathan, Priyanka Priyanka, Anurag Singh Rathore, Senthilkumar Sivaprakasam, Senthilmurugan Subbiah · 2020 · Industrial & Engineering Chemistry Research
  40. Quantitative spectral electromechanical characterization of soft piezoelectric nanocomposites
    Sara Moon Villa, Mirko Maturi, Tommaso Santaniello, Lorenzo Migliorini, Erica Locatelli, Mauro Comes Franchini, Paolo Milani · 2021 · Sensors and Actuators A Physical
  41. Current Developments in Industrial Fermentation Processes
    Mehrdad Niakousari, Maryam Razmjooei, Maryam Nejadmansouri, Francisco J. Barba, Krystian Marszałek, Mohamed Koubaa · 2021 · Wiley eBooks
  42. Computational Strategies for Maximizing Biomass and Metabolite Yields for Bioproduction
    Yogesh Kumar Ahlawat, Vanshika Srivastava, Maryam Samani, Sarahani Harun, Vinothienii Rajuloo, Darshna Chaudhary · 2024 · Sustainable landscape planning and natural resources management
  43. An Analysis of Monitoring Solutions for CAR T Cell Production
    Arber Shoshi, Yuchen Xia, Andrea Fieschi, Yannick Baumgarten, Andrea Gaißler, Thomas Ackermann, Peter Reimann, Bernhard Mitschang, Michael Weyrich, Thomas Bauernhansl et al. · 2025 · Healthcare Technology Letters
  44. Data synchronization techniques and their impact on the prediction performance of automated recalibrated soft sensors in bioprocesses
    Manuel Siegl, Dominik Geier, Björn Andreeßen, Sebastian Max, Esther Mose, Michael Zavrel, Thomas Matthias Becker · 2024 · Biotechnology and Bioprocess Engineering
  45. Significant roles of smart sensors in the modern agriculture and food industry
    Sebahattin Serhat Turgut, Gonca Bilge, José Antonio Entrenas, Dolores Pérez‐Marín · 2024 · Elsevier eBooks
  46. Soft sensor for viable cell counting by measuring dynamic oxygen uptake rate
    M. Winter, Lena Achleitner, Peter Satzer · 2024 · New Biotechnology
  47. Control of specific carbon dioxide production in a fed-batch culture producing recombinant protein using a soft sensor
    Robert Gustavsson, Cornelia Lukasser, Carl‐Fredrik Mandenius · 2015 · Journal of Biotechnology
  48. Modeling of Production and Quality of Bioethanol Obtained from Sugarcane Fermentation Using Direct Dissolved Sugars Measurements
    B. Velázquez-Martí, Sergio Pérez, Juan Gaibor‐Chávez, Paola Wilcaso · 2016 · Energies
  49. Implementing Process Analytical Technology for the Production of Recombinant Proteins in Escherichia coli Using an Advanced Controller Scheme
    Priyanka Priyanka, Jashwant Kumar, James Gomes, Anurag Singh Rathore · 2019 · Biotechnology Journal
  50. An Advanced Monitoring Platform for Rational Design of Recombinant Processes
    Gerald Striedner, K. Bayer · 2012 · Advances in biochemical engineering, biotechnology
  51. Bridging Offline Functional Model Carrying Aging-Specific Growth Rate Information and Recombinant Protein Expression: Entropic Extension of Akaike Information Criterion
    Renaldas Urniežius, Benas Kemesis, Rimvydas Simutis · 2021 · Entropy
  52. Software Sensors for Biomass Concentration Estimation in Filamentous Microorganism Cultivation Process
    Pavel Hrnčiřı́k, Tomáš Moucha, Jan Mareš, J. Náhlík, Dagmar Janáčová · 2019 · Chemical and Biochemical Engineering Quarterly
  53. Advances in modeling analysis for multi-parameter bioreactor process control
    Xin Lin, Ke Li, Changzhe Wu, Cheng Zhang, Guanghao Zhang, Xiaolin Huo · 2025 · Biotechnology and Bioprocess Engineering
  54. Current status and opportunities in adaptive data analysis for therapeutic cell manufacturing
    Zhaonan Liu, Jialei Chen, Kan Wang, Ben Wang, Chuck Zhang · 2021 · Current Opinion in Biomedical Engineering
  55. Mechanistic soft-sensor design for protein refolding processes based on intrinsic fluorescence measurements
    Chika Linda Igwe, Florian Gisperg, Matthias Kierein, Eva Přáda Brichtová, Oliver Spadiut A, Don Fabian Müller · 2024 · Computers & Chemical Engineering
  56. Monitoring of Fermentation and Biotechnological Processes
    Alisa M. Rudnitskaya, Dmitry O. Kirsanov, Andrey V. Legin · 2016 · Elsevier eBooks
  57. Feed-forward-based software sensor for outlet turbidity of coagulation process considering plug flow condition
    Wei Liu, Harsha Chandima Ratnaweera · 2017 · International Journal of Environmental Science and Technology
  58. A convenient new method for reproducible fed-batch fermentation of fission yeast Schizosaccharomyces pombe
    Alberto Scomparin, Matthias Bureik · 2020 · Biotechnology Letters
  59. Monitoring of Biopolymer Production Process Using Soft Sensors Based on Off-Gas Composition Analysis and Capacitance Measurement
    Pavel Hrnčiřı́k · 2021 · Fermentation
  60. Development of soft sensors for monitoring and control of bioprocesses
    Robert Gustavsson · 2018
  61. Monitoring Product Quantity, Purity and Potency of Biopharmaceuticals in Real-time by Predictive Chemometrics and Soft sensors
    Astrid Dürauer, Alois Jungbauer, Theresa Scharl · 2023
  62. Graph neural networks for soft sensors: Learning from process topology and operational data
    Maximilian F. Theisen, Gabrie M.H. Meesters, Artur M. Schweidtmann · 2025 · Computers & Chemical Engineering
  63. Rapid total sialic acid monitoring during cell culture process using a machine learning model based soft sensor
    Amir M. Behdani, Yuxiang Zhao, Grace Yao, Dhanuka P. Wasalathanthri, Eric Hodgman, Michael Borys, Gloria Li, Anurag Khetan, Dayanjan Shanaka Wijesinghe, Anthony M. Leone · 2024 · Biotechnology Progress
  64. Comparative Study of Intelligent Soft-Sensors for Bioprocess State Estimation
    Rimvydas Simutis, Vytautas Galvanauskas, Donatas Levišauskas, Jolanta Repšytė, Vygandas Vaitkus · 2013 · Journal of Life Sciences and Technologies
  65. Indirect Monitoring of Anaerobic Digestion for Cheese Whey Treatment
    Hilario Flores-Mejia, Antonio Lara-Musule, Eliseo Hernández‐Martínez, Ricardo Aguilar‐López, Héctor Puebla · 2021 · Processes
  66. Modeling for Process Risk Assessment in Industrial Bioprocesses
    Robert Spann, Anna Eliasson Lantz, Krist V. Gernaey, Gürkan Sin · 2018 · Elsevier eBooks
  67. Realization of user‐friendly bioanalytical tools to quantify and monitor critical components in bio‐industrial processes through conceptual design
    Carl‐Fredrik Mandenius · 2021 · Engineering in Life Sciences
  68. Multivariate Modeling for Bioreactor Monitoring and Control
    Jarka Glassey · 2016
  69. A Framework for Digital Technologies Application in Soft Sensing Monitoring to Recombinant Nanobody Production in Escherichia coli : From Model Explanation to the Study of Potential Scenario
    Juan Camilo Acosta-Pavas, David Camilo Corrales, Susana María Alonso Villela, Georgios K. Georgakilas, Luc Fillaudeau, César Arturo Aceves-Lara · 2026 · ACS Omega
  70. Extension of first principle elemental balancing soft-sensors by nonlinear reaction kinetics for increased robustness in bioprocess monitoring
    Don Fabian Müller, Daniel Wibbing, Julian Kager · 2024 · Bioprocess and Biosystems Engineering
  71. Estimating Extrinsic Dyes for Fluorometric Online Monitoring of Antibody Aggregation in CHO Fed-Batch Cultivations
    Karen Schwab, Friedemann Hesse · 2017 · Bioengineering
  72. Filling the gap: Comparison of proxy measurement techniques for small data scenarios
    Dominik Seiler, Garret E. O’Donnell · 2020 · Journal of Cleaner Production
  73. Online Control Strategies
    Inês A. Isidro, Daniel A. M. Pais, Paula M. Alves, Manuel J.T. Carrondo · 2019 · Elsevier eBooks
  74. Online Control Strategies
    Ana P. Teixeira, Rui Oliveira, Paula M. Alves, Manuel J.T. Carrondo · 2011 · Elsevier eBooks
  75. Incorporation of error propagation into an elemental balancing based soft-sensor for improved online monitoring of microbial fed-batch processes
    Don Fabian Müller, Konrad Lagoda, Daniel Wibbing, Christoph Herwig, Julian Kager · 2022 · Computer-aided chemical engineering/Computer aided chemical engineering
  76. Extremum-seeking Control of Industrial-scale Fermentation Processes
    Ola Johnsson · 2013 · Lund University Publications (Lund University)
  77. A generative model-based coevolutionary training framework for noise-tolerant softsensors in wastewater treatment processes
    Yu Peng, Erchao Li · 2025 · Complex & Intelligent Systems
  78. A decade of innovation in healthcare: Automation, bio-printing and digital twin technologies for personalized therapies
    Donya Ghavami, Nicola Giulietti, Giuseppina Sandri, Hermes Giberti · 2026 · International Journal of Pharmaceutics X
  79. Developments and Trends in Industrial Process Analytics for Life Science Applications
    Martin Gerlach, Reinhard Gross, Thomas Steckenreiter, Jens Traenkle, Albert Tulke · 2017 · ChemBioEng Reviews
  80. Viable cell estimation of mammalian cells using off-gas-based oxygen uptake rate and aging-specific functional
    Arnas Survyla, Renaldas Urniežius, Rimvydas Simutis · 2022 · Talanta
  81. Soft-Sensing Estimation of Optical Density for PHA Production Using Multilayer Perceptron Neural Network
    Nor Hana Mamat, Samsul Bahari Mohd Noor, Azura Che Soh, Farah Saleena Taip, Ahmad Hazri Ab Rashid, Nur Liyana Jufika Ahmad, Ishak Mohd Yusoff, Adida Zuraida Mohamad · 2020 · Journal of Physics Conference Series
  82. Software Sensors for the Monitoring of Bioprocesses
    Pavel Hrnčiřı́k · 2020 · Advances in intelligent systems and computing
  83. Modeling a Virtual Flow Sensor in a Sugar-Energy Plant using Artificial Neural Network
    Jayne dos Santos Lima, Juan Moisés Maurício Villanueva, Sebastian Yuri Cavalcanti Catunda · 2022 · IEEE International Instrumentation and Measurement Technology Conference
  84. Soft Sensor Design for Bioreactor Monitoring and Control
    Carl‐Fredrik Mandenius, Robert Gustavsson · 2016 · Wiley eBooks
  85. Development of Soft Sensors for Monitoring of Chinese Hamster Ovary Cell Processes
    Seyed Kaveh Ohadi · 2014 · UWSpace (University of Waterloo)
  86. Consistent Value Creation from Bioprocess Data with Customized Algorithms: Opportunities Beyond Multivariate Analysis
    Harini Narayanan, Moritz von Stosch, Martin Francisco Luna, Mariano Nicolás Cruz Bournazou, Alessandro Butté, Michael Sokolov · 2021 · Wiley eBooks
  87. Hidden state estimation in stochastic integro-differential Amari model by adaptive singly diagonally implicit two-step peer triples with global error control
    Gennady Yu. Kulikov, R. Weiner, Maria Vyacheslavovna Kulikova · 2024 · Digital Signal Processing
  88. Real‐Time Biomass Estimation in High‐Density Yeast Fermentations Using Soft Sensor Modeling
    Ana G Del Hierro, José Luis Checa-Barrera, Juan A. Moreno-Cid, Eoin Casey · 2026 · Biotechnology and Bioengineering
  89. Advancing process control toward intelligent continuous biopharmaceutical manufacturing: Challenges, strategies, and future directions
    Dongkyu Kim, Siyang Park, Chaeeun Lee, Cheol-Hwan Park, Daehwan Kim, Dong-Yup Lee, Moo Sun Hong · 2026 · Biotechnology Advances
  90. Entwicklungen und Trends in der industriellen Prozessanalytik für Life‐Science‐Anwendungen
    Martin Gerlach, Reinhard Gross, Thomas Steckenreiter, Jens Traenkle, Albert Tulke · 2016 · Chemie Ingenieur Technik
  91. Mechanistic Models for Process Development and Optimization of Fed-batch Fermentation Systems
    2016 · Computer-aided chemical engineering/Computer aided chemical engineering
  92. Perfusion Mammalian Cell Culture for Recombinant Protein Manufacturing
    Moritz Wolf, Jean‐Marc Bielser, Massimo Morbidelli · 2020 · Cambridge University Press eBooks
  93. Scale-Down Models and Sensors for Process Development
    Moritz Wolf, Jean‐Marc Bielser, Massimo Morbidelli · 2020 · Cambridge University Press eBooks
  94. Bioreactors: A Biological and Bioengineering Prodigy
    Komal Agrawal, Maulin Pramod Shah, Pradeep Verma · 2021 · Royal Society of Chemistry eBooks
  95. Implementation and Optimization of a Data-Driven Soft Sensor in a Welding Process
    Fabian Hensler, Alexander Jesser, Nico Strebe · 2023 · International Conference on Software Engineering and Computer Science (CSECS)
  96. Controlling Uncertainty in Hydraulic Drive Systems by Means of a Soft Sensor Network
    Christian Schänzle, Ingo Dietrich, Tobias Corneli, Peter F. Pelz · 2017 · Conference proceedings of the Society for Experimental Mechanics
  97. Design and Optimisation of Mammalian Cell Perfusion Cultures
    Moritz Wolf, Jean‐Marc Bielser, Massimo Morbidelli · 2020 · Cambridge University Press eBooks
  98. Software Sensors for Monitoring of Biopolymer Production
    Pavel Hrnciri · 2021 · International Conference on Process Control
  99. Estimación y control de procesos biotecnológicos multivariables
    Sebastián Núñez · 2014
  100. Perturbation-based Control of Industrial Fed-batch Bioprocesses
    Ola Johnsson · 2015 · Lund University Publications (Lund University)