Literature DB >> 26388485

In-line and real-time prediction of recombinant antibody titer by in situ Raman spectroscopy.

Silvère André1, Lydia Saint Cristau2, Sabine Gaillard2, Olivier Devos1, Éric Calvosa2, Ludovic Duponchel3.   

Abstract

The Food and Drug Administration's (FDA) process analytical technology (PAT) framework has been initiated to encourage drug manufacturers to develop innovative techniques in order to better understand their processes and institute high level quality control which allows action at any point in the manufacturing process. While Raman spectroscopy and chemometrics have been successfully used to predict concentration of conventional metabolites in cell cultures, it is really not the case for active substances. Thus, we propose, for the first time, an in-line and real-time prediction of recombinant antibody titer using an immersion probe link to a spectrometer without the tacking of samples. A good robustness of the method is observed on different culture batches and the contamination risk is drastically reduced which is an important issue in biotechnology manufacturing processes.
Copyright © 2015 Elsevier B.V. All rights reserved.

Keywords:  Antibody production; CHO; Cell culture; Chemometrics; Raman spectroscopy

Mesh:

Substances:

Year:  2015        PMID: 26388485     DOI: 10.1016/j.aca.2015.08.050

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  2 in total

1.  In-line monitoring of surfactant clearance in viral vaccine downstream processing.

Authors:  Jessie Payne; James Cronin; Manjit Haer; Jason Krouse; William Prosperi; Katherine Drolet-Vives; Matthew Lieve; Michael Soika; Matthew Balmer; Marina Kirkitadze
Journal:  Comput Struct Biotechnol J       Date:  2021-03-26       Impact factor: 7.271

2.  Multi-attribute Raman spectroscopy (MARS) for monitoring product quality attributes in formulated monoclonal antibody therapeutics.

Authors:  Bingchuan Wei; Nicholas Woon; Lu Dai; Raphael Fish; Michelle Tai; Winode Handagama; Ashley Yin; Jia Sun; Andrew Maier; Dana McDaniel; Elvira Kadaub; Jessica Yang; Miguel Saggu; Ann Woys; Oxana Pester; Danny Lambert; Alex Pell; Zhiqi Hao; Gordon Magill; Jack Yim; Jefferson Chan; Lindsay Yang; Frank Macchi; Christian Bell; Galahad Deperalta; Yan Chen
Journal:  MAbs       Date:  2022 Jan-Dec       Impact factor: 5.857

  2 in total

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