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Schiewe T, Gutschmann B, Santolin L, Waldburger S, Neubauer P, Hass R, Riedel SL. Real-time monitoring of biomass during Escherichia coli high-cell-density cultivations by in-line photon density wave spectroscopy. Biotechnol Bioeng 2023; 120:2880-2889. [PMID: 37272419 DOI: 10.1002/bit.28460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 05/19/2023] [Accepted: 05/22/2023] [Indexed: 06/06/2023]
Abstract
An efficient monitoring and control strategy is the basis for a reliable production process. Conventional optical density (OD) measurements involve superpositions of light absorption and scattering, and the results are only given in arbitrary units. In contrast, photon density wave (PDW) spectroscopy is a dilution-free method that allows independent quantification of both effects with defined units. For the first time, PDW spectroscopy was evaluated as a novel optical process analytical technology tool for real-time monitoring of biomass formation in Escherichia coli high-cell-density fed-batch cultivations. Inline PDW measurements were compared to a commercially available inline turbidity probe and with offline measurements of OD and cell dry weight (CDW). An accurate correlation of the reduced PDW scattering coefficient µs ' with CDW was observed in the range of 5-69 g L-1 (R2 = 0.98). The growth rates calculated based on µs ' were comparable to the rates determined with all reference methods. Furthermore, quantification of the reduced PDW scattering coefficient µs ' as a function of the absorption coefficient µa allowed direct detection of unintended process trends caused by overfeeding and subsequent acetate accumulation. Inline PDW spectroscopy can contribute to more robust bioprocess monitoring and consequently improved process performance.
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Affiliation(s)
- Thomas Schiewe
- Institute of Chemistry, innoFSPEC, University of Potsdam, Potsdam, Germany
- PDW Analytics GmbH, Potsdam, Germany
- Institute of Biotechnology, Chair of Bioprocess Engineering, Technische Universität Berlin, Berlin, Germany
| | - Björn Gutschmann
- Institute of Biotechnology, Chair of Bioprocess Engineering, Technische Universität Berlin, Berlin, Germany
| | - Lara Santolin
- Institute of Biotechnology, Chair of Bioprocess Engineering, Technische Universität Berlin, Berlin, Germany
| | - Saskia Waldburger
- Institute of Biotechnology, Chair of Bioprocess Engineering, Technische Universität Berlin, Berlin, Germany
| | - Peter Neubauer
- Institute of Biotechnology, Chair of Bioprocess Engineering, Technische Universität Berlin, Berlin, Germany
| | - Roland Hass
- Institute of Chemistry, innoFSPEC, University of Potsdam, Potsdam, Germany
- PDW Analytics GmbH, Potsdam, Germany
| | - Sebastian L Riedel
- Institute of Biotechnology, Chair of Bioprocess Engineering, Technische Universität Berlin, Berlin, Germany
- Department VIII-Mechanical Engineering, Event Technology and Process Engineering, Environmental and Bioprocess Engineering Laboratory, Berliner Hochschule für Technik, Berlin, Germany
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Swaminathan N, Priyanka P, Rathore AS, Sivaparakasam S, Subbiah S. Cole-Cole modeling of real-time capacitance data for estimation of cell physiological properties in recombinant Escherichia coli cultivation. Biotechnol Bioeng 2021; 119:922-935. [PMID: 34964125 DOI: 10.1002/bit.28028] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 11/17/2021] [Accepted: 12/20/2021] [Indexed: 11/12/2022]
Abstract
Real-time estimation of physiological properties of the cell during recombinant protein production would ensure enhanced process monitoring. In this study, we explored the application of dielectric spectroscopy to track the fed-batch phase of recombinant Escherichia coli cultivation for estimating the physiological properties, viz. cell diameter and viable cell concentration (VCC). The scanning capacitance data from the dielectric spectroscopy were pre-processed using moving average (MA). Later, it was modelled through a nonlinear theoretical Cole-Cole model and further solved using a global evolutionary genetic algorithm (GA). The parameters obtained from the GA were further applied for the estimation of the aforementioned physiological properties. The offline cell diameter and cell viability data were obtained from particle size analyzer and flow cytometry measurements to validate the Cole-Cole model. The offline VCC was calculated from the cell viability % from flow cytometry data and dry cell weight concentration (DCW). The Cole-Cole model predicted the cell diameter and VCC with an error of 1.03% and 7.72%, respectively. The proposed approach can enable the operator to take real-time process decisions in order to achieve desired productivity and product quality. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Nivedhitha Swaminathan
- Centre for the Environment, Indian Institute of Technology Guwahati, Guwahati, 781039, Assam, India
| | - Priyanka Priyanka
- Department of Chemical Engineering, Indian Institute of Technology Delhi, New Delhi, 110016, India
| | - Anurag S Rathore
- Department of Chemical Engineering, Indian Institute of Technology Delhi, New Delhi, 110016, India
| | - Senthilkumar Sivaparakasam
- Centre for the Environment, Indian Institute of Technology Guwahati, Guwahati, 781039, Assam, India.,Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati, 781039, Assam, India
| | - Senthilmurugan Subbiah
- Centre for the Environment, Indian Institute of Technology Guwahati, Guwahati, 781039, Assam, India.,Department of Chemical Engineering, Indian Institute of Technology Guwahati, Guwahati, 781039, Assam, India
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Kastenhofer J, Rajamanickam V, Libiseller-Egger J, Spadiut O. Monitoring and control of E. coli cell integrity. J Biotechnol 2021; 329:1-12. [PMID: 33485861 DOI: 10.1016/j.jbiotec.2021.01.009] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Revised: 01/06/2021] [Accepted: 01/08/2021] [Indexed: 12/15/2022]
Abstract
Soluble expression of recombinant proteins in E. coli is often done by translocation of the product across the inner membrane (IM) into the periplasm, where it is retained by the outer membrane (OM). While the integrity of the IM is strongly coupled to viability and impurity release, a decrease in OM integrity (corresponding to increased "leakiness") leads to accumulation of product in the extracellular space, strongly impacting the downstream process. Whether leakiness is desired or not, differential monitoring and control of IM and OM integrity are necessary for an efficient E. coli bioprocess in compliance with the guidelines of Quality by Design and Process Analytical Technology. In this review, we give an overview of relevant monitoring tools, summarize the research on factors affecting E. coli membrane integrity and provide a brief discussion on how the available monitoring technology can be implemented in real-time control of E. coli cultivations.
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Affiliation(s)
- Jens Kastenhofer
- TU Wien, Institute of Chemical, Environmental and Bioscience Engineering, Research Division Biochemical Engineering, Research Group Integrated Bioprocess Development, Gumpendorfer Strasse 1a, 1060, Vienna, Austria
| | - Vignesh Rajamanickam
- TU Wien, Institute of Chemical, Environmental and Bioscience Engineering, Research Division Biochemical Engineering, Research Group Integrated Bioprocess Development, Gumpendorfer Strasse 1a, 1060, Vienna, Austria
| | - Julian Libiseller-Egger
- TU Wien, Institute of Chemical, Environmental and Bioscience Engineering, Research Division Biochemical Engineering, Research Group Integrated Bioprocess Development, Gumpendorfer Strasse 1a, 1060, Vienna, Austria
| | - Oliver Spadiut
- TU Wien, Institute of Chemical, Environmental and Bioscience Engineering, Research Division Biochemical Engineering, Research Group Integrated Bioprocess Development, Gumpendorfer Strasse 1a, 1060, Vienna, Austria.
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Swaminathan N, Priyanka P, Rathore AS, Sivaprakasam S, Subbiah S. Multiobjective Optimization for Enhanced Production of Therapeutic Proteins in Escherichia coli: Application of Real-Time Dielectric Spectroscopy. Ind Eng Chem Res 2020. [DOI: 10.1021/acs.iecr.0c04010] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Nivedhitha Swaminathan
- Centre for the Environment, Indian Institute of Technology Guwahati, Guwahati, Assam 781039, India
| | - Priyanka Priyanka
- Department of Chemical Engineering, Indian Institute of Technology Delhi, New Delhi 110016, India
| | - Anurag S. Rathore
- Department of Chemical Engineering, Indian Institute of Technology Delhi, New Delhi 110016, India
| | - Senthilkumar Sivaprakasam
- Centre for the Environment, Indian Institute of Technology Guwahati, Guwahati, Assam 781039, India
- Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati, Assam 781039, India
| | - Senthilmurugan Subbiah
- Centre for the Environment, Indian Institute of Technology Guwahati, Guwahati, Assam 781039, India
- Department of Chemical Engineering, Indian Institute of Technology Guwahati, Guwahati, Assam 781039, India
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Culture medium density as a simple monitoring tool for cell integrity of Escherichia coli. J Biotechnol 2020; 324S:100017. [PMID: 34154736 DOI: 10.1016/j.btecx.2020.100017] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Revised: 04/29/2020] [Accepted: 04/30/2020] [Indexed: 11/20/2022]
Abstract
During the expression of recombinant proteins in the periplasm of Escherichia coli, the integrity of the outer membrane can change, so that product leaks to the medium. Additional stress can induce lysis, the complete disintegration of both inner and outer membrane, leading to release of both product and host cell proteins. Whether leakiness is unwanted or intentional, appropriate monitoring of leakiness and its distinction from lysis is necessary to ensure product quality and process performance. Here, we investigated a novel monitoring tool for leakiness and lysis based on the measurement of the culture supernatant density. The method benefits from short analysis time and low analytical error, simple result output, relatively low cost, low risk of operator errors and the option of easy on-line implementation. Although limitations exist regarding selectivity, we could show that the method is capable of detecting changes in cell integrity. This tool is therefore an interesting addition to the monitoring toolbox for industrial E. coli bioprocesses.
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Patel BA, Pinto ND, Gospodarek A, Kilgore B, Goswami K, Napoli WN, Desai J, Heo JH, Panzera D, Pollard D, Richardson D, Brower M, Richardson DD. On-Line Ion Exchange Liquid Chromatography as a Process Analytical Technology for Monoclonal Antibody Characterization in Continuous Bioprocessing. Anal Chem 2017; 89:11357-11365. [DOI: 10.1021/acs.analchem.7b02228] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Bhumit A. Patel
- Biologics & Vaccines, Bioprocess Research and Development, Merck & Co., Inc., 2000 Galloping Hill Rd, Kenilworth, New Jersey 07033, United States
| | - Nuno D.S. Pinto
- Biologics & Vaccines, Bioprocess Research and Development, Merck & Co., Inc., 2000 Galloping Hill Rd, Kenilworth, New Jersey 07033, United States
| | - Adrian Gospodarek
- Biologics & Vaccines, Bioprocess Research and Development, Merck & Co., Inc., 2000 Galloping Hill Rd, Kenilworth, New Jersey 07033, United States
| | - Bruce Kilgore
- Biologics & Vaccines, Bioprocess Research and Development, Merck & Co., Inc., 2000 Galloping Hill Rd, Kenilworth, New Jersey 07033, United States
| | - Kudrat Goswami
- Biologics & Vaccines, Bioprocess Research and Development, Merck & Co., Inc., 2000 Galloping Hill Rd, Kenilworth, New Jersey 07033, United States
| | - William N. Napoli
- Biologics & Vaccines, Bioprocess Research and Development, Merck & Co., Inc., 2000 Galloping Hill Rd, Kenilworth, New Jersey 07033, United States
| | - Jayesh Desai
- Biologics & Vaccines, Bioprocess Research and Development, Merck & Co., Inc., 2000 Galloping Hill Rd, Kenilworth, New Jersey 07033, United States
| | - Jun H. Heo
- Biologics & Vaccines, Bioprocess Research and Development, Merck & Co., Inc., 2000 Galloping Hill Rd, Kenilworth, New Jersey 07033, United States
| | - Dominick Panzera
- Biologics & Vaccines, Bioprocess Research and Development, Merck & Co., Inc., 2000 Galloping Hill Rd, Kenilworth, New Jersey 07033, United States
| | - David Pollard
- Biologics & Vaccines, Bioprocess Research and Development, Merck & Co., Inc., 2000 Galloping Hill Rd, Kenilworth, New Jersey 07033, United States
| | - Daisy Richardson
- Biologics & Vaccines, Bioprocess Research and Development, Merck & Co., Inc., 2000 Galloping Hill Rd, Kenilworth, New Jersey 07033, United States
| | - Mark Brower
- Biologics & Vaccines, Bioprocess Research and Development, Merck & Co., Inc., 2000 Galloping Hill Rd, Kenilworth, New Jersey 07033, United States
| | - Douglas D. Richardson
- Biologics & Vaccines, Bioprocess Research and Development, Merck & Co., Inc., 2000 Galloping Hill Rd, Kenilworth, New Jersey 07033, United States
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Templar A, Woodhouse S, Keshavarz-Moore E, Nesbeth DN. Influence of Pichia pastoris cellular material on polymerase chain reaction performance as a synthetic biology standard for genome monitoring. J Microbiol Methods 2016; 127:111-122. [PMID: 27211507 DOI: 10.1016/j.mimet.2016.05.013] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2015] [Revised: 05/09/2016] [Accepted: 05/16/2016] [Indexed: 02/08/2023]
Abstract
Advances in synthetic genomics are now well underway in yeasts due to the low cost of synthetic DNA. These new capabilities also bring greater need for quantitating the presence, loss and rearrangement of loci within synthetic yeast genomes. Methods for achieving this will ideally; i) be robust to industrial settings, ii) adhere to a global standard and iii) be sufficiently rapid to enable at-line monitoring during cell growth. The methylotrophic yeast Pichia pastoris (P. pastoris) is increasingly used for industrial production of biotherapeutic proteins so we sought to answer the following questions for this particular yeast species. Is time-consuming DNA purification necessary to obtain accurate end-point polymerase chain reaction (e-pPCR) and quantitative PCR (qPCR) data? Can the novel linear regression of efficiency qPCR method (LRE qPCR), which has properties desirable in a synthetic biology standard, match the accuracy of conventional qPCR? Does cell cultivation scale influence PCR performance? To answer these questions we performed e-pPCR and qPCR in the presence and absence of cellular material disrupted by a mild 30s sonication procedure. The e-pPCR limit of detection (LOD) for a genomic target locus was 50pg (4.91×10(3) copies) of purified genomic DNA (gDNA) but the presence of cellular material reduced this sensitivity sixfold to 300pg gDNA (2.95×10(4) copies). LRE qPCR matched the accuracy of a conventional standard curve qPCR method. The presence of material from bioreactor cultivation of up to OD600=80 did not significantly compromise the accuracy of LRE qPCR. We conclude that a simple and rapid cell disruption step is sufficient to render P. pastoris samples of up to OD600=80 amenable to analysis using LRE qPCR which we propose as a synthetic biology standard.
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Affiliation(s)
- Alexander Templar
- Department of Biochemical Engineering, University College London, Bernard Katz Building, London, WC1E 6BT, United Kingdom
| | - Stefan Woodhouse
- Department of Biochemical Engineering, University College London, Bernard Katz Building, London, WC1E 6BT, United Kingdom
| | - Eli Keshavarz-Moore
- Department of Biochemical Engineering, University College London, Bernard Katz Building, London, WC1E 6BT, United Kingdom
| | - Darren N Nesbeth
- Department of Biochemical Engineering, University College London, Bernard Katz Building, London, WC1E 6BT, United Kingdom.
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8
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Luttmann R, Borchert SO, Mueller C, Loegering K, Aupert F, Weyand S, Kober C, Faber B, Cornelissen G. Sequential/parallel production of potential Malaria vaccines – A direct way from single batch to quasi-continuous integrated production. J Biotechnol 2015; 213:83-96. [DOI: 10.1016/j.jbiotec.2015.02.022] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2014] [Revised: 01/19/2015] [Accepted: 02/02/2015] [Indexed: 11/26/2022]
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9
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Biechele P, Busse C, Solle D, Scheper T, Reardon K. Sensor systems for bioprocess monitoring. Eng Life Sci 2015. [DOI: 10.1002/elsc.201500014] [Citation(s) in RCA: 120] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Affiliation(s)
- Philipp Biechele
- Institute of Technical Chemistry; Leibniz University; Hannover Germany
| | - Christoph Busse
- Institute of Technical Chemistry; Leibniz University; Hannover Germany
| | - Dörte Solle
- Institute of Technical Chemistry; Leibniz University; Hannover Germany
| | - Thomas Scheper
- Institute of Technical Chemistry; Leibniz University; Hannover Germany
| | - Kenneth Reardon
- Department of Chemical and Biological Engineering; Colorado State University; Fort Collins CO USA
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10
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Birle S, Hussein MA, Becker T. On-line yeast propagation process monitoring and control using an intelligent automatic control system. Eng Life Sci 2014. [DOI: 10.1002/elsc.201400058] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Affiliation(s)
- Stephan Birle
- Center of Life and Food Sciences Weihenstephan; BioPAT; Technische Universität München; Freising Germany
| | - Mohamed Ahmed Hussein
- Center of Life and Food Sciences Weihenstephan; BioPAT; Technische Universität München; Freising Germany
| | - Thomas Becker
- Center of Life and Food Sciences Weihenstephan; BioPAT; Technische Universität München; Freising Germany
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11
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Turkia H, Holmström S, Paasikallio T, Sirén H, Penttilä M, Pitkänen JP. Online Capillary Electrophoresis for Monitoring Carboxylic Acid Production by Yeast during Bioreactor Cultivations. Anal Chem 2013; 85:9705-12. [DOI: 10.1021/ac402113x] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Heidi Turkia
- VTT Technical Research Centre of Finland,
P.O. Box 1000, FIN-02044 VTT Espoo, Finland
- Lappeenranta University of Technology, P.O. Box 20, FIN-53580 Lappeenranta, Finland
| | - Sami Holmström
- VTT Technical Research Centre of Finland,
P.O. Box 1000, FIN-02044 VTT Espoo, Finland
| | - Toni Paasikallio
- VTT Technical Research Centre of Finland,
P.O. Box 1000, FIN-02044 VTT Espoo, Finland
| | - Heli Sirén
- Lappeenranta University of Technology, P.O. Box 20, FIN-53580 Lappeenranta, Finland
| | - Merja Penttilä
- VTT Technical Research Centre of Finland,
P.O. Box 1000, FIN-02044 VTT Espoo, Finland
| | - Juha-Pekka Pitkänen
- VTT Technical Research Centre of Finland,
P.O. Box 1000, FIN-02044 VTT Espoo, Finland
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Streefland M, Martens DE, Beuvery EC, Wijffels RH. Process analytical technology (PAT) tools for the cultivation step in biopharmaceutical production. Eng Life Sci 2013. [DOI: 10.1002/elsc.201200025] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Affiliation(s)
- Mathieu Streefland
- Bioprocess Engineering; Wageningen University; Wageningen; The Netherlands
| | - Dirk E. Martens
- Bioprocess Engineering; Wageningen University; Wageningen; The Netherlands
| | | | - René H. Wijffels
- Bioprocess Engineering; Wageningen University; Wageningen; The Netherlands
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On-line multiple component analysis for efficient quantitative bioprocess development. J Biotechnol 2013; 163:362-70. [DOI: 10.1016/j.jbiotec.2012.03.010] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2011] [Revised: 03/08/2012] [Accepted: 03/13/2012] [Indexed: 11/22/2022]
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Wechselberger P, Sagmeister P, Herwig C. Real-time estimation of biomass and specific growth rate in physiologically variable recombinant fed-batch processes. Bioprocess Biosyst Eng 2012. [PMID: 23178981 PMCID: PMC3755222 DOI: 10.1007/s00449-012-0848-4] [Citation(s) in RCA: 71] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
The real-time measurement of biomass has been addressed since many years. The quantification of biomass in the induction phase of a recombinant bioprocess is not straight forward, since biological burden, caused by protein expression, can have a significant impact on the cell morphology and physiology. This variability potentially leads to poor generalization of the biomass estimation, hence is a very important issue in the dynamic field of process development with frequently changing processes and producer lines. We want to present a method to quantify “biomass” in real-time which avoids off-line sampling and the need for representative training data sets. This generally applicable soft-sensor, based on first principles, was used for the quantification of biomass in induced recombinant fed-batch processes. Results were compared with “state of the art” methods to estimate the biomass concentration and the specific growth rate µ. Gross errors such as wrong stoichiometric assumptions or sensor failure were detected automatically. This method allows for variable model coefficients such as yields in contrast to other process models, hence does not require prior experiments. It can be easily adapted to a different growth stoichiometry; hence the method provides good generalization, also for induced culture mode. This approach estimates the biomass (or anabolic bioconversion) in induced fed-batch cultures in real-time and provides this key variable for process development for control purposes.
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Affiliation(s)
- Patrick Wechselberger
- Research Area Biochemical Engineering, Institute of Chemical Engineering, Vienna University of Technology, Gumpendorfer Straße 1a, 1060 Vienna, Austria.
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Luchner M, Gutmann R, Bayer K, Dunkl J, Hansel A, Herbig J, Singer W, Strobl F, Winkler K, Striedner G. Implementation of proton transfer reaction-mass spectrometry (PTR-MS) for advanced bioprocess monitoring. Biotechnol Bioeng 2012; 109:3059-69. [DOI: 10.1002/bit.24579] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2012] [Revised: 06/06/2012] [Accepted: 06/08/2012] [Indexed: 02/04/2023]
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Real-time monitoring and control of microbial bioprocesses with focus on the specific growth rate: current state and perspectives. Appl Microbiol Biotechnol 2012; 94:1469-82. [DOI: 10.1007/s00253-012-4095-z] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2012] [Revised: 04/06/2012] [Accepted: 04/11/2012] [Indexed: 10/28/2022]
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Sonnleitner B. Automated measurement and monitoring of bioprocesses: key elements of the M(3)C strategy. ADVANCES IN BIOCHEMICAL ENGINEERING/BIOTECHNOLOGY 2012. [PMID: 23179291 DOI: 10.1007/10_2012_173] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/10/2022]
Abstract
The state-of-routine monitoring items established in the bioprocess industry as well as some important state-of-the-art methods are briefly described and the potential pitfalls discussed. Among those are physical and chemical variables such as temperature, pressure, weight, volume, mass and volumetric flow rates, pH, redox potential, gas partial pressures in the liquid and molar fractions in the gas phase, infrared spectral analysis of the liquid phase, and calorimetry over an entire reactor. Classical as well as new optical versions are addressed. Biomass and bio-activity monitoring (as opposed to "measurement") via turbidity, permittivity, in situ microscopy, and fluorescence are critically analyzed. Some new(er) instrumental analytical tools, interfaced to bioprocesses, are explained. Among those are chromatographic methods, mass spectrometry, flow and sequential injection analyses, field flow fractionation, capillary electrophoresis, and flow cytometry. This chapter surveys the principles of monitoring rather than compiling instruments.
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Affiliation(s)
- Bernhard Sonnleitner
- Institute for Chemistry and Biological Chemistry (ICBC), Zurich University of Applied Sciences (ZHAW), Einsiedlerstrasse 29, CH-8820, Waedenswil, Switzerland,
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The Choice of Suitable Online Analytical Techniques and Data Processing for Monitoring of Bioprocesses. ADVANCES IN BIOCHEMICAL ENGINEERING/BIOTECHNOLOGY 2012. [DOI: 10.1007/10_2012_175] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/13/2023]
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Chhatre S, Pampel L, Titchener-Hooker NJ. Integrated use of ultra scale-down and financial modeling to identify optimal conditions for the precipitation and centrifugal recovery of milk proteins. Biotechnol Prog 2011; 27:998-1008. [DOI: 10.1002/btpr.612] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2010] [Revised: 02/15/2011] [Indexed: 11/10/2022]
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20
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Moore JD, Perez-Pardo MA, Popplewell JF, Spencer SJ, Ray S, Swann MJ, Shard AG, Jones W, Hills A, Bracewell DG. Chemical and biological characterisation of a sensor surface for bioprocess monitoring. Biosens Bioelectron 2010; 26:2940-7. [PMID: 21195603 DOI: 10.1016/j.bios.2010.11.043] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2010] [Revised: 11/19/2010] [Accepted: 11/26/2010] [Indexed: 11/25/2022]
Abstract
This paper describes the step-wise fabrication and characterisation of a multi-layer dual polarization interferometry (DPI) based biosensor utilising Protein G (ProG) as the bio-recognition layer for the detection of a fragment antibody (Fab'). The biosensor is capable of monitoring the concentration of Fab' product within the extracellular medium of a fed-batch fermentation after leakage from Escherichia coli (E.coli). The activity, stability and functionality of each sensor layer were analysed in situ using DPI, whilst the chemical identity and homogeneity of the chemical layers were assessed ex situ using X-ray photoelectron spectroscopy (XPS) and secondary ion mass spectrometry (SIMS). Two different biotin linkers were found to produce hugely differing surfaces after the capture of NeutrAvidin™ (NA) and biotinylated Protein G (b-ProG). The hydrophilic (PEG)(4)-biotin linker resulted in a surface where the b-ProG layer was deposited and organised above the NA layer producing an active and stable surface, whilst the hydrophobic LC-biotin linker generated a surface where the b-ProG layer was buried within the NA layer leading to variable surfaces and poor binding of the Fab' target. The biosensor has a detection limit of 1.7 μg/ml with a dynamic range covering two orders of magnitude. The sensor can detect the onset of Fab' leakage as early as 2h following product induction, with high signal-to-noise ratios and little interference from extracellular components. Leakage of Fab' followed a biphasic profile, switching to a more rapid rate 20 h after induction, indicating accelerated product loss and the need for cultivation harvest.
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Affiliation(s)
- Jonathan D Moore
- National Physical Laboratory, Hampton Road, Teddington, Middlesex TW11 0LW, United Kingdom.
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Biotech paper & market watch. Biotechnol J 2008. [DOI: 10.1002/biot.200890071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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