1
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Grimes MI, Cheeks M, Smith J, Zurlo F, Mantle MD. Decoupling Protein Concentration and Aggregate Content Using Diffusion and Water NMR. Anal Chem 2024. [PMID: 38943616 DOI: 10.1021/acs.analchem.3c05875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/01/2024]
Abstract
Protein-based biopharmaceutical drugs, such as monoclonal antibodies, account for the majority of the best-selling drugs globally in recent years. For bioprocesses, key performance indicators are the concentration and aggregate level for the product being produced. In water NMR (wNMR), the use of the water transverse relaxation rate [R2(1H2O)] has been previously used to determine protein concentration and aggregate level; however, it cannot be used to separate between them without using an additional technique. This work shows that it is possible to "decouple" these two key characteristics by recording the water diffusion coefficient [D(1H2O)] in conjunction with R2(1H2O), even in the event of overlap in either D(1H2O) or R2(1H2O). This method is demonstrated on three different systems, following appropriate D(1H2O) or R2(1H2O) calibration data acquisition for a protein of interest. Our method highlights the potential use of benchtop NMR as an at-line process analytical technique.
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Affiliation(s)
- Mark I Grimes
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, Cambridge CB3 0AS, U.K
| | - Matthew Cheeks
- Cell Culture & Fermentation Sciences, Biopharmaceutical Development, Biopharmaceuticals R&D, AstraZeneca, Francis Crick Avenue, Cambridge CB2 0AA, U.K
| | - Jennifer Smith
- Cell Culture & Fermentation Sciences, Biopharmaceutical Development, Biopharmaceuticals R&D, AstraZeneca, Francis Crick Avenue, Cambridge CB2 0AA, U.K
| | - Fabio Zurlo
- Cell Culture & Fermentation Sciences, Biopharmaceutical Development, Biopharmaceuticals R&D, AstraZeneca, Francis Crick Avenue, Cambridge CB2 0AA, U.K
| | - Mick D Mantle
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, Cambridge CB3 0AS, U.K
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2
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Hirsch E, Bornemissza Z, Nagy ZK, Marosi GJ, Farkas A. Quantitative and qualitative analysis of cell culture media powders for mammalian cells by Raman microscopy. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2024; 310:123906. [PMID: 38277781 DOI: 10.1016/j.saa.2024.123906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 11/23/2023] [Accepted: 01/15/2024] [Indexed: 01/28/2024]
Abstract
Cell culture media are essential for large-scale recombinant protein production using mammalian cell cultures. The composition and quality of media significantly impact cell growth and product formation. Analyzing media poses challenges due to complex compositions and undisclosed exact compositions. Traditional methods like NMR and chromatography offer sensitivity but require time-consuming sample preparation and lack spatial information. Raman chemical mapping characterizes solids, but its use in cell culture media analysis is limited so far. We present a chemometric evaluation for Raman maps to qualify and quantify media components, evaluate powder homogeneity, and perform lot-to-lot comparisons. Three lots of a marketed cell culture media powder were measured with Raman mapping technique. Chemometrics techniques have outlined a strategy to extract information from complex data. First, a spectral library has been structured. In addition to the 23 spectra for presumed ingredients, we obtained another 9 pure components with Multivariate Curve Resolution-Alternating Least Squares (MCR-ALS). Then the Spectral Angle Mapper-Orthogonal Projection (SAM-OP) algorithm revealed whether references actually occur in the mapped media powders. Finally, a quantification was provided by Classical Least Squares (CLS) modelling. Quantities of 18 significant amino acids mostly correlated with the reference method. The proposed method can be generally applied even for such complicated samples. Leveraging Raman mapping and innovative chemometric methods enhance recombinant protein production by improving the understanding of the spatial distribution and composition of cell culture media in mammalian cell cultivations.
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Affiliation(s)
- Edit Hirsch
- Department of Organic Chemistry and Technology, Faculty of Chemical Technology and Biotechnology, Budapest University of Technology and Economics, Müegyetem rkp. 3., H-1111 Budapest, Hungary
| | - Zsuzsanna Bornemissza
- Department of Organic Chemistry and Technology, Faculty of Chemical Technology and Biotechnology, Budapest University of Technology and Economics, Müegyetem rkp. 3., H-1111 Budapest, Hungary
| | - Zsombor K Nagy
- Department of Organic Chemistry and Technology, Faculty of Chemical Technology and Biotechnology, Budapest University of Technology and Economics, Müegyetem rkp. 3., H-1111 Budapest, Hungary
| | - György J Marosi
- Department of Organic Chemistry and Technology, Faculty of Chemical Technology and Biotechnology, Budapest University of Technology and Economics, Müegyetem rkp. 3., H-1111 Budapest, Hungary
| | - Attila Farkas
- Department of Organic Chemistry and Technology, Faculty of Chemical Technology and Biotechnology, Budapest University of Technology and Economics, Müegyetem rkp. 3., H-1111 Budapest, Hungary.
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3
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Kinet R, Richelle A, Colle M, Demaegd D, von Stosch M, Sanders M, Sehrt H, Delvigne F, Goffin P. Giving the cells what they need when they need it: Biosensor-based feeding control. Biotechnol Bioeng 2024; 121:1271-1283. [PMID: 38258490 DOI: 10.1002/bit.28657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 12/11/2023] [Accepted: 01/04/2024] [Indexed: 01/24/2024]
Abstract
"Giving the cells exactly what they need, when they need it" is the core idea behind the proposed bioprocess control strategy: operating bioprocess based on the physiological behavior of the microbial population rather than exclusive monitoring of environmental parameters. We are envisioning to achieve this through the use of genetically encoded biosensors combined with online flow cytometry (FCM) to obtain a time-dependent "physiological fingerprint" of the population. We developed a biosensor based on the glnA promoter (glnAp) and applied it for monitoring the nitrogen-related nutritional state of Escherichia coli. The functionality of the biosensor was demonstrated through multiple cultivation runs performed at various scales-from microplate to 20 L bioreactor. We also developed a fully automated bioreactor-FCM interface for on-line monitoring of the microbial population. Finally, we validated the proposed strategy by performing a fed-batch experiment where the biosensor signal is used as the actuator for a nitrogen feeding feedback control. This new generation of process control, -based on the specific needs of the cells, -opens the possibility of improving process development on a short timescale and therewith, the robustness and performance of fermentation processes.
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Affiliation(s)
| | | | | | | | | | | | - Hannah Sehrt
- TERRA Teaching and Research Centre, Gembloux Agro-Bio Tech, University of Liège, Gembloux, Belgium
| | - Frank Delvigne
- TERRA Teaching and Research Centre, Gembloux Agro-Bio Tech, University of Liège, Gembloux, Belgium
| | - Philippe Goffin
- Molecular and Cellular Biology, University of Brussels, Brussels, Belgium
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4
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Kyne M, de Faria E Silva AL, Vickroy B, Ryder AG. Size exclusion chromatography for screening yeastolate used in cell culture media. J Biotechnol 2023; 376:1-10. [PMID: 37689251 DOI: 10.1016/j.jbiotec.2023.09.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 07/24/2023] [Accepted: 09/06/2023] [Indexed: 09/11/2023]
Abstract
Yeastolate is often used as a media supplement in industrial mammalian cell culture or as a major media component for microbial fermentations. Yeastolate variability can significantly affect process performance, but analysis is technically challenging because of its compositional complexity. However, what may be adequate for manufacturing purposes is a fast, inexpensive screening method to identify molecular variance and provide sufficient information for quality control purposes, without characterizing all the molecular components. Here we used Size Exclusion Chromatography (SEC) and chemometrics as a relatively fast screening method for identifying lot-to-lot variance (with Principal Component Analysis, PCA) and investigated if Partial Least Squares, PLS, predictive models which correlated SEC data with process titer could be obtained. SEC provided a relatively fast measure of gross molecular size hydrolysate variability with minimal sample preparation and relatively simple data analysis. The sample set comprised of 18 samples from 12 unique source lots of an ultra-filtered yeastolate (10 kDa molecular weight cut-off) used in a mammalian cell culture process. SEC showed significant lot-to-lot variation, at 214 and 280 nm detection, with the most significant variation, that correlated with process performance, occurring at a retention time of ∼6 min. PCA and PLS regression correlation models provided fast identification of yeastolate variance and its process impact. The primary drawback is the limited column lifetime (<300 injections) caused by the complex nature of yeastolate and the presence of zinc. This limited long term reproducibility because these age-related, non-linear changes in chromatogram peak positions and shapes were very significant.
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Affiliation(s)
- Michelle Kyne
- Nanoscale BioPhotonics Laboratory, University of Galway, H91 CF50 Galway, Ireland
| | | | - Bruce Vickroy
- Biopharmaceutical and Steriles Manufacturing Science and Technology, GlaxoSmithKline, 709 Swedeland Rd., King of Prussia, PA 19046, USA
| | - Alan G Ryder
- Nanoscale BioPhotonics Laboratory, University of Galway, H91 CF50 Galway, Ireland.
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5
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Pawar D, Lo Presti D, Silvestri S, Schena E, Massaroni C. Current and future technologies for monitoring cultured meat: A review. Food Res Int 2023; 173:113464. [PMID: 37803787 DOI: 10.1016/j.foodres.2023.113464] [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: 06/07/2023] [Revised: 08/30/2023] [Accepted: 09/10/2023] [Indexed: 10/08/2023]
Abstract
The high population growth rate, massive animal food consumption, fast economic progress, and limited food resources could lead to a food crisis in the future. There is a huge requirement for dietary proteins including cultured meat is being progressed to fulfill the need for meat-derived proteins in the diet. However, production of cultured meat requires monitoring numerous bioprocess parameters. This review presents a comprehensive overview of various widely adopted techniques (optical, spectroscopic, electrochemical, capacitive, FETs, resistive, microscopy, and ultrasound) for monitoring physical, chemical, and biological parameters that can improve the bioprocess control in cultured meat. The methods, operating principle, merits/demerits, and the main open challenges are reviewed with the aim to support the readers in advancing knowledge on novel sensing systems for cultured meat applications.
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Affiliation(s)
- Dnyandeo Pawar
- Microwave Materials Group, Centre for Materials for Electronics Technology (C-MET), Athani P.O, Thrissur, Kerala 680581, India.
| | - Daniela Lo Presti
- Unit of Measurements and Biomedical Instrumentation, Departmental Faculty of Engineering, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 21, 00128 Rome, Italy
| | - Sergio Silvestri
- Unit of Measurements and Biomedical Instrumentation, Departmental Faculty of Engineering, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 21, 00128 Rome, Italy
| | - Emiliano Schena
- Unit of Measurements and Biomedical Instrumentation, Departmental Faculty of Engineering, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 21, 00128 Rome, Italy
| | - Carlo Massaroni
- Unit of Measurements and Biomedical Instrumentation, Departmental Faculty of Engineering, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 21, 00128 Rome, Italy
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6
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Challenges and Opportunities of Implementing Data Fusion in Process Analytical Technology—A Review. Molecules 2022; 27:molecules27154846. [PMID: 35956791 PMCID: PMC9369811 DOI: 10.3390/molecules27154846] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 07/20/2022] [Accepted: 07/22/2022] [Indexed: 12/03/2022] Open
Abstract
The release of the FDA’s guidance on Process Analytical Technology has motivated and supported the pharmaceutical industry to deliver consistent quality medicine by acquiring a deeper understanding of the product performance and process interplay. The technical opportunities to reach this high-level control have considerably evolved since 2004 due to the development of advanced analytical sensors and chemometric tools. However, their transfer to the highly regulated pharmaceutical sector has been limited. To this respect, data fusion strategies have been extensively applied in different sectors, such as food or chemical, to provide a more robust performance of the analytical platforms. This survey evaluates the challenges and opportunities of implementing data fusion within the PAT concept by identifying transfer opportunities from other sectors. Special attention is given to the data types available from pharmaceutical manufacturing and their compatibility with data fusion strategies. Furthermore, the integration into Pharma 4.0 is discussed.
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7
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Sá M, Ferrer-Ledo N, Gao F, Bertinetto CG, Jansen J, Crespo JG, Wijffels RH, Barbosa M, Galinha CF. Perspectives of fluorescence spectroscopy for online monitoring in microalgae industry. Microb Biotechnol 2022; 15:1824-1838. [PMID: 35175653 PMCID: PMC9151345 DOI: 10.1111/1751-7915.14013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Revised: 01/25/2022] [Accepted: 01/27/2022] [Indexed: 11/27/2022] Open
Abstract
Microalgae industrial production is viewed as a solution for alternative production of nutraceuticals, cosmetics, biofertilizers, and biopolymers. Throughout the years, several technological advances have been implemented, increasing the competitiveness of microalgae industry. However, online monitoring and real-time process control of a microalgae production factory still require further development. In this mini-review, non-destructive tools for online monitoring of cellular agriculture applications are described. Still, the focus is on the use of fluorescence spectroscopy to monitor several parameters (cell concentration, pigments, and lipids) in the microalgae industry. The development presented makes it the most promising solution for monitoring up-and downstream processes, different biological parameters simultaneously, and different microalgae species. The improvements needed for industrial application of this technology are also discussed.
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Affiliation(s)
- Marta Sá
- Bioprocess Engineering, Wageningen University and Research, Wageningen, 6708PB, The Netherlands.,Stichting imec Nederland - OnePlanet Research Center, Wageningen, 6708WH, The Netherlands
| | - Narcis Ferrer-Ledo
- Bioprocess Engineering, Wageningen University and Research, Wageningen, 6708PB, The Netherlands
| | - Fengzheng Gao
- Bioprocess Engineering, Wageningen University and Research, Wageningen, 6708PB, The Netherlands
| | - Carlo G Bertinetto
- Institute for Molecules and Materials (Analytical Chemistry), Radboud University, Nijmegen, The Netherlands
| | - Jeroen Jansen
- Institute for Molecules and Materials (Analytical Chemistry), Radboud University, Nijmegen, The Netherlands
| | - João G Crespo
- LAQV-REQUIMTE, Department of Chemistry, NOVA School of Science and Technology, FCT NOVA, Caparica, 2829-516, Portugal
| | - Rene H Wijffels
- Bioprocess Engineering, Wageningen University and Research, Wageningen, 6708PB, The Netherlands.,Faculty of Biosciences and Aquaculture, Nord University, Bodø, N-8049, Norway
| | - Maria Barbosa
- Bioprocess Engineering, Wageningen University and Research, Wageningen, 6708PB, The Netherlands
| | - Claudia F Galinha
- LAQV-REQUIMTE, Department of Chemistry, NOVA School of Science and Technology, FCT NOVA, Caparica, 2829-516, Portugal
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8
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Antonakoudis A, Strain B, Barbosa R, Jimenez del Val I, Kontoravdi C. Synergising stoichiometric modelling with artificial neural networks to predict antibody glycosylation patterns in Chinese hamster ovary cells. Comput Chem Eng 2021. [DOI: 10.1016/j.compchemeng.2021.107471] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
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9
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Rathore AS, Mishra S, Nikita S, Priyanka P. Bioprocess Control: Current Progress and Future Perspectives. Life (Basel) 2021; 11:life11060557. [PMID: 34199245 PMCID: PMC8231968 DOI: 10.3390/life11060557] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 06/09/2021] [Accepted: 06/10/2021] [Indexed: 02/07/2023] Open
Abstract
Typical bioprocess comprises of different unit operations wherein a near optimal environment is required for cells to grow, divide, and synthesize the desired product. However, bioprocess control caters to unique challenges that arise due to non-linearity, variability, and complexity of biotech processes. This article presents a review of modern control strategies employed in bioprocessing. Conventional control strategies (open loop, closed loop) along with modern control schemes such as fuzzy logic, model predictive control, adaptive control and neural network-based control are illustrated, and their effectiveness is highlighted. Furthermore, it is elucidated that bioprocess control is more than just automation, and includes aspects such as system architecture, software applications, hardware, and interfaces, all of which are optimized and compiled as per demand. This needs to be accomplished while keeping process requirement, production cost, market value of product, regulatory constraints, and data acquisition requirements in our purview. This article aims to offer an overview of the current best practices in bioprocess control, monitoring, and automation.
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10
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Boateng BO, Elcoroaristizabal S, Ryder AG. Development of a rapid polarized total synchronous fluorescence spectroscopy (pTSFS) method for protein quantification in a model bioreactor broth. Biotechnol Bioeng 2021; 118:1805-1817. [PMID: 33501639 DOI: 10.1002/bit.27694] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 01/07/2021] [Accepted: 01/21/2021] [Indexed: 12/22/2022]
Abstract
Protein quantification during bioprocess monitoring is essential for biopharmaceutical manufacturing and is complicated by the complex chemical composition of the bioreactor broth. Here we present the early-stage development and optimization of a polarized total synchronous fluorescence spectroscopy (pTSFS) method for protein quantification in a hydrolysate-protein model (mimics clarified bioreactor broth samples) using a standard benchtop laboratory fluorometer. We used UV transmitting polarizers to provide wider range pTSFS spectra for screening of the four different TSFS spectra generated by the measurement: parallel (||), perpendicular (⊥), unpolarized (T) intensity spectra and anisotropy maps. TSFS|| (parallel polarized) measurements were the best for protein quantification compared to standard unpolarized measurements and the Bradford assay. This was because TSFS|| spectra had a better analyte signal to noise ratio (SNR), due to the anisotropy of protein emission. This meant that protein signals were better resolved from the background emission of small molecule fluorophores in the cell culture media. SNR of >5000 was achieved for concentrations of bovine serum albumin/yeastolate 1.2/10 g L-1 with TSFS|| . Optimization using genetic algorithm and interval partial least squares based variable selection enabled reduction of spectral resolution and number of excitation wavelengths required without degrading performance. This enables fast (<3.5 min) online/at-line measurements, and the method had an LOD of 0.18 g L-1 and high accuracy with a predictive error of <9%.
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Affiliation(s)
- Bernard O Boateng
- Nanoscale BioPhotonics Laboratory, School of Chemistry, National University of Ireland, Galway, Ireland
| | - Saioa Elcoroaristizabal
- Nanoscale BioPhotonics Laboratory, School of Chemistry, National University of Ireland, Galway, Ireland
| | - Alan G Ryder
- Nanoscale BioPhotonics Laboratory, School of Chemistry, National University of Ireland, Galway, Ireland
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11
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Mayrhofer P, Reinhart D, Castan A, Kunert R. Monitoring of heat- and light exposure of cell culture media by RAMAN spectroscopy: Towards an analytical tool for cell culture media quality control. Biochem Eng J 2021. [DOI: 10.1016/j.bej.2020.107845] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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12
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Wasalathanthri DP, Rehmann MS, Song Y, Gu Y, Mi L, Shao C, Chemmalil L, Lee J, Ghose S, Borys MC, Ding J, Li ZJ. Technology outlook for real‐time quality attribute and process parameter monitoring in biopharmaceutical development—A review. Biotechnol Bioeng 2020; 117:3182-3198. [DOI: 10.1002/bit.27461] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2020] [Revised: 05/30/2020] [Accepted: 06/11/2020] [Indexed: 12/11/2022]
Affiliation(s)
| | - Matthew S. Rehmann
- Biologics Process Development Bristol‐Myers Squibb Company Devens Massachusetts
| | - Yuanli Song
- Biologics Process Development Bristol‐Myers Squibb Company Devens Massachusetts
| | - Yan Gu
- Biologics Process Development Bristol‐Myers Squibb Company Devens Massachusetts
| | - Luo Mi
- Biologics Process Development Bristol‐Myers Squibb Company Devens Massachusetts
| | - Chun Shao
- Biologics Process Development Bristol‐Myers Squibb Company Devens Massachusetts
| | - Letha Chemmalil
- Biologics Process Development Bristol‐Myers Squibb Company Devens Massachusetts
| | - Jongchan Lee
- Biologics Process Development Bristol‐Myers Squibb Company Devens Massachusetts
| | - Sanchayita Ghose
- Biologics Process Development Bristol‐Myers Squibb Company Devens Massachusetts
| | - Michael C. Borys
- Biologics Process Development Bristol‐Myers Squibb Company Devens Massachusetts
| | - Julia Ding
- Biologics Process Development Bristol‐Myers Squibb Company Devens Massachusetts
| | - Zheng Jian Li
- Biologics Process Development Bristol‐Myers Squibb Company Devens Massachusetts
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13
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Richelle A, David B, Demaegd D, Dewerchin M, Kinet R, Morreale A, Portela R, Zune Q, von Stosch M. Towards a widespread adoption of metabolic modeling tools in biopharmaceutical industry: a process systems biology engineering perspective. NPJ Syst Biol Appl 2020; 6:6. [PMID: 32170148 PMCID: PMC7070029 DOI: 10.1038/s41540-020-0127-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Accepted: 02/12/2020] [Indexed: 01/09/2023] Open
Abstract
In biotechnology, the emergence of high-throughput technologies challenges the interpretation of large datasets. One way to identify meaningful outcomes impacting process and product attributes from large datasets is using systems biology tools such as metabolic models. However, these tools are still not fully exploited for this purpose in industrial context due to gaps in our knowledge and technical limitations. In this paper, key aspects restraining the routine implementation of these tools are highlighted in three research fields: monitoring, network science and hybrid modeling. Advances in these fields could expand the current state of systems biology applications in biopharmaceutical industry to address existing challenges in bioprocess development and improvement.
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15
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Rangan S, Schulze HG, Vardaki MZ, Blades MW, Piret JM, Turner RFB. Applications of Raman spectroscopy in the development of cell therapies: state of the art and future perspectives. Analyst 2020; 145:2070-2105. [DOI: 10.1039/c9an01811e] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
This comprehensive review article discusses current and future perspectives of Raman spectroscopy-based analyses of cell therapy processes and products.
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Affiliation(s)
- Shreyas Rangan
- Michael Smith Laboratories
- The University of British Columbia
- Vancouver
- Canada
- School of Biomedical Engineering
| | - H. Georg Schulze
- Michael Smith Laboratories
- The University of British Columbia
- Vancouver
- Canada
| | - Martha Z. Vardaki
- Michael Smith Laboratories
- The University of British Columbia
- Vancouver
- Canada
| | - Michael W. Blades
- Department of Chemistry
- The University of British Columbia
- Vancouver
- Canada
| | - James M. Piret
- Michael Smith Laboratories
- The University of British Columbia
- Vancouver
- Canada
- School of Biomedical Engineering
| | - Robin F. B. Turner
- Michael Smith Laboratories
- The University of British Columbia
- Vancouver
- Canada
- Department of Chemistry
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16
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Using Synchronous Fluorescence to Investigate Chemical Interactions Influencing Foam Characteristics in Sparkling Wines. BEVERAGES 2019. [DOI: 10.3390/beverages5030054] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
The appearance of bubbles and foam can influence the likeability of a wine even before its consumption. Since foams are essential to visual and taste attributes of sparkling wines, it is of great importance to understand which compounds affect bubbles and foam characteristics. The aim of this work was to investigate the effect of interactions among proteins, amino acids, and phenols on the characteristics of foam in sparkling wines by using synchronous fluorescence spectroscopy techniques. Results have shown that several compounds present in sparkling wines influence foam quality differently, and importantly, highlighted how the interaction of those compounds might result in different effects on foam parameters. Amongst the results, mannoproteins were found to be most likely to promote foam and collar stability, while phenols were likely to increase the small bubbles and collar height in the foam matrix. In summary, this work contributes to a better understanding of the effect of wine compounds on foam quality as well as the effect of the interactions between those compounds.
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