Raman‐based dynamic feeding strategies using real‐time glucose concentration monitoring system during adalimumab producing CHO cell cultivation-Reference-Cited by-同舟云学术

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Raman‐based dynamic feeding strategies using real‐time glucose concentration monitoring system during adalimumab producing CHO cell cultivation

Published:2020-07-31 Issue:6 Volume:36 Page:
ISSN:8756-7938
Container-title:Biotechnology Progress
language:en
Short-container-title:Biotechnol Progress

Author:

Domján Júlia¹,Fricska Annamária¹,Madarász Lajos¹,Gyürkés Martin¹,Köte Ákos²,Farkas Attila¹,Vass Panna¹,Fehér Csaba³,Horváth Balázs⁴,Könczöl Kálmán⁴,Pataki Hajnalka¹,Nagy Zsombor Kristóf¹,Marosi György János¹,Hirsch Edit¹^ORCID

Affiliation:

1. Department of Organic Chemistry and Technology Budapest University of Technology and Economics Budapest Hungary

2. Department of Automation and Applied Informatics Budapest University of Technology and Economics Budapest Hungary

3. Department of Applied Biotechnology and Food Science Budapest University of Technology and Economics Budapest Hungary

4. Department of Biotechnology Gedeon Richter Plc Budapest Hungary

Funder

Magyar Tudományos Akadémia

Hungarian Scientific Research Fund

Publisher

Wiley

Subject

Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/btpr.3052

Reference41 articles.

1. Applications of Raman spectroscopy in pharmaceutical analysis

2. Applications of Raman spectroscopy to pharmacy

3. Analytical applications of Raman spectroscopy

4. Raman Spectroscopy for Process Analytical Technologies of Pharmaceutical Secondary Manufacturing

5. Application of spectroscopic methods for monitoring of bioprocesses and the implications for the manufacture of biologics

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1. Enhancing cross‐scale Raman in‐line monitoring capability of cell culture process in large‐scale manufacturing;AIChE Journal;2024-09-09

2. A Data-Driven Approach for Leveraging Inline and Offline Data to Determine the Causes of Monoclonal Antibody Productivity Reduction in the Commercial-Scale Cell Culture Process;Pharmaceutics;2024-08-17

3. Real-time model correction using Kalman filter for Raman-controlled cell culture processes;Chinese Journal of Chemical Engineering;2024-06

4. Applications of machine learning in antibody discovery, process development, manufacturing and formulation: Current trends, challenges, and opportunities;Computers & Chemical Engineering;2024-03

5. Convolutional Neural Networks Guided Raman Spectroscopy as a Process Analytical Technology (PAT) Tool for Monitoring and Simultaneous Prediction of Monoclonal Antibody Charge Variants;Pharmaceutical Research;2024-02-16

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