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Rapid characterization and quality control of complex cell culture media solutions using raman spectroscopy and chemometrics
Author(s) -
Li Boyan,
Ryan Paul W.,
Ray Bryan H.,
Leister Kirk J.,
Sirimuthu Narayana M.S.,
Ryder Alan G.
Publication year - 2010
Publication title -
biotechnology and bioengineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.136
H-Index - 189
eISSN - 1097-0290
pISSN - 0006-3592
DOI - 10.1002/bit.22813
Subject(s) - chemometrics , raman spectroscopy , context (archaeology) , principal component analysis , biological system , process analytical technology , chinese hamster ovary cell , chemistry , process engineering , sample preparation , analytical chemistry (journal) , computer science , chromatography , biochemical engineering , materials science , artificial intelligence , bioprocess , biology , engineering , optics , physics , chemical engineering , biochemistry , paleontology , receptor
The use of Raman spectroscopy coupled with chemometrics for the rapid identification, characterization, and quality assessment of complex cell culture media components used for industrial mammalian cell culture was investigated. Raman spectroscopy offers significant advantages for the analysis of complex, aqueous‐based materials used in biotechnology because there is no need for sample preparation and water is a weak Raman scatterer. We demonstrate the efficacy of the method for the routine analysis of dilute aqueous solution of five different chemically defined (CD) commercial media components used in a Chinese Hamster Ovary (CHO) cell manufacturing process for recombinant proteins.The chemometric processing of the Raman spectral data is the key factor in developing robust methods. Here, we discuss the optimum methods for eliminating baseline drift, background fluctuations, and other instrumentation artifacts to generate reproducible spectral data. Principal component analysis (PCA) and soft independent modeling of class analogy (SIMCA) were then employed in the development of a robust routine for both identification and quality evaluation of the five different media components. These methods have the potential to be extremely useful in an industrial context for “in‐house” sample handling, tracking, and quality control. Biotechnol. Bioeng. 2010;107: 290–301. © 2010 Wiley Periodicals, Inc.

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