Digitization in bioprocessing: The role of soft sensors in monitoring and control of downstream processing for production of biotherapeutic products
Owing to the advancement in the technologies, the vision of smart manufacturing is not implausible. Development of sophisticated measuring tools, modelling approaches, improved computational efficiency, wireless technology and emphasis on automation and digitalization has promoted soft sensor implem...
Main Authors: | , , |
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Format: | Article |
Language: | English |
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Elsevier
2022-12-01
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Series: | Biosensors and Bioelectronics: X |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S259013702200156X |
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author | Anurag Singh Rathore Saxena Nikita Naveen G. Jesubalan |
author_facet | Anurag Singh Rathore Saxena Nikita Naveen G. Jesubalan |
author_sort | Anurag Singh Rathore |
collection | DOAJ |
description | Owing to the advancement in the technologies, the vision of smart manufacturing is not implausible. Development of sophisticated measuring tools, modelling approaches, improved computational efficiency, wireless technology and emphasis on automation and digitalization has promoted soft sensor implementation in bioprocessing. With multiple driving forces including decrease in operational cost, reliable operation, ease in calibration, increased long term stability etc., soft sensor has become a central process analytical tool for accessing and maintaining real time critical quality attributes. Fundamentally, soft sensor is an indirect measurement method combining process data and a mathematical model to estimate a target quantity. The model input is primarily composed of hardware signals from inline process sensors, analytical devices, actuators, and the instruments. This article offers an overview of soft sensing techniques in downstream bioprocessing for production of biotherapeutic products. Novel possibilities that its implementation presents towards real time measurement, monitoring, modelling and control (M3C) during commercial manufacturing have been highlighted along with the technology challenges and potential solutions from a data scientist perspective. |
first_indexed | 2024-04-11T06:01:14Z |
format | Article |
id | doaj.art-c227443c54ec4ff2b379d8a8b2468315 |
institution | Directory Open Access Journal |
issn | 2590-1370 |
language | English |
last_indexed | 2024-04-11T06:01:14Z |
publishDate | 2022-12-01 |
publisher | Elsevier |
record_format | Article |
series | Biosensors and Bioelectronics: X |
spelling | doaj.art-c227443c54ec4ff2b379d8a8b24683152022-12-22T04:41:40ZengElsevierBiosensors and Bioelectronics: X2590-13702022-12-0112100263Digitization in bioprocessing: The role of soft sensors in monitoring and control of downstream processing for production of biotherapeutic productsAnurag Singh Rathore0Saxena Nikita1Naveen G. Jesubalan2Corresponding author. Department of Chemical Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, 110016, India.; Department of Chemical Engineering, Indian Institute of Technology, Delhi, IndiaDepartment of Chemical Engineering, Indian Institute of Technology, Delhi, IndiaDepartment of Chemical Engineering, Indian Institute of Technology, Delhi, IndiaOwing to the advancement in the technologies, the vision of smart manufacturing is not implausible. Development of sophisticated measuring tools, modelling approaches, improved computational efficiency, wireless technology and emphasis on automation and digitalization has promoted soft sensor implementation in bioprocessing. With multiple driving forces including decrease in operational cost, reliable operation, ease in calibration, increased long term stability etc., soft sensor has become a central process analytical tool for accessing and maintaining real time critical quality attributes. Fundamentally, soft sensor is an indirect measurement method combining process data and a mathematical model to estimate a target quantity. The model input is primarily composed of hardware signals from inline process sensors, analytical devices, actuators, and the instruments. This article offers an overview of soft sensing techniques in downstream bioprocessing for production of biotherapeutic products. Novel possibilities that its implementation presents towards real time measurement, monitoring, modelling and control (M3C) during commercial manufacturing have been highlighted along with the technology challenges and potential solutions from a data scientist perspective.http://www.sciencedirect.com/science/article/pii/S259013702200156XSoft sensorBioprocessingDownstream processingBiotherapeuticsReal time analysisIn situ measurements |
spellingShingle | Anurag Singh Rathore Saxena Nikita Naveen G. Jesubalan Digitization in bioprocessing: The role of soft sensors in monitoring and control of downstream processing for production of biotherapeutic products Biosensors and Bioelectronics: X Soft sensor Bioprocessing Downstream processing Biotherapeutics Real time analysis In situ measurements |
title | Digitization in bioprocessing: The role of soft sensors in monitoring and control of downstream processing for production of biotherapeutic products |
title_full | Digitization in bioprocessing: The role of soft sensors in monitoring and control of downstream processing for production of biotherapeutic products |
title_fullStr | Digitization in bioprocessing: The role of soft sensors in monitoring and control of downstream processing for production of biotherapeutic products |
title_full_unstemmed | Digitization in bioprocessing: The role of soft sensors in monitoring and control of downstream processing for production of biotherapeutic products |
title_short | Digitization in bioprocessing: The role of soft sensors in monitoring and control of downstream processing for production of biotherapeutic products |
title_sort | digitization in bioprocessing the role of soft sensors in monitoring and control of downstream processing for production of biotherapeutic products |
topic | Soft sensor Bioprocessing Downstream processing Biotherapeutics Real time analysis In situ measurements |
url | http://www.sciencedirect.com/science/article/pii/S259013702200156X |
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