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Online monitoring and control of upstream cell culture process using 1D and 2D-LC with SegFlow interface.
Chemmalil, Letha; Wasalathanthri, Dhanuka P; Zhang, Xin; Kuang, June; Shao, Chun; Barbour, Robin; Bhavsar, Sohil; Prabhakar, Tanushree; Knihtila, Ryan; West, Jay; Puri, Neha; McHugh, Kyle; Rehmann, Matthew S; He, Qin; Xu, Jianlin; Borys, Michael C; Ding, Julia; Li, Zhengjian.
Afiliação
  • Chemmalil L; BMS Process Development Analytical Group, Devens, Massachusetts, USA.
  • Wasalathanthri DP; BMS Process Development Analytical Group, Devens, Massachusetts, USA.
  • Zhang X; BMS Analytical Development & Analytical Attribute Science in Biologics, Devens, Massachusetts, USA.
  • Kuang J; BMS Analytical Development & Analytical Attribute Science in Biologics, Devens, Massachusetts, USA.
  • Shao C; BMS Process Development Analytical Group, Devens, Massachusetts, USA.
  • Barbour R; University of Rochester, Rochester, New York, USA.
  • Bhavsar S; BMS Analytical Development & Analytical Attribute Science in Biologics, Devens, Massachusetts, USA.
  • Prabhakar T; BMS Manufacturing Science & Technology, Devens, Massachusetts, USA.
  • Knihtila R; Dragonfly Therapeutics, Waltham, Massachusetts, USA.
  • West J; BMS Process Development Analytical Group, Devens, Massachusetts, USA.
  • Puri N; BMS Process Development Analytical Group, Devens, Massachusetts, USA.
  • McHugh K; BMS Process Development Group, Devens, Massachusetts, USA.
  • Rehmann MS; BMS Process Development Group, Devens, Massachusetts, USA.
  • He Q; BMS Process Development Group, Devens, Massachusetts, USA.
  • Xu J; BMS Process Development Group, Devens, Massachusetts, USA.
  • Borys MC; BMS Process Development Group, Devens, Massachusetts, USA.
  • Ding J; BMS Process Development Analytical Group, Devens, Massachusetts, USA.
  • Li Z; BMS Analytical Development & Analytical Attribute Science in Biologics, Devens, Massachusetts, USA.
Biotechnol Bioeng ; 118(9): 3593-3603, 2021 09.
Article em En | MEDLINE | ID: mdl-34185315
ABSTRACT
The biopharmaceutical industry is transitioning from currently deployed batch-mode bioprocessing to a highly efficient and agile next-generation bioprocessing with the adaptation of continuous bioprocessing, which reduces capital investment and operational costs. Continuous bioprocessing, aligned with FDA's quality-by-design platform, is designed to develop robust processes to deliver safe and effective drugs. With the deployment of knowledge-based operations, product quality can be built into the process to achieve desired critical quality attributes (CQAs) with reduced variability. To facilitate next-generation continuous bioprocessing, it is essential to embrace a fundamental shift-in-paradigm from "quality-by-testing" to "quality-by-design," which requires the deployment of process analytical technologies (PAT). With the adaptation of PAT, a systematic approach of process and product understanding and timely process control are feasible. Deployment of PAT tools for real-time monitoring of CQAs and feedback control is critical for continuous bioprocessing. Given the current deficiency in PAT tools to support continuous bioprocessing, we have integrated Infinity 2D-LC with a post-flow-splitter in conjunction with the SegFlow autosampler to the bioreactors. With this integrated system, we have established a platform for online measurements of titer and CQAs of monoclonal antibodies as well as amino acid analysis of bioreactor cell culture.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Técnicas de Cultura de Células / Reatores Biológicos / Modelos Teóricos Idioma: En Revista: Biotechnol Bioeng Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Técnicas de Cultura de Células / Reatores Biológicos / Modelos Teóricos Idioma: En Revista: Biotechnol Bioeng Ano de publicação: 2021 Tipo de documento: Article