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Simultaneous monitoring of the bioconversion from lysine to glutaric acid by ethyl chloroformate derivatization and gas chromatography-mass spectrometry

Title
Simultaneous monitoring of the bioconversion from lysine to glutaric acid by ethyl chloroformate derivatization and gas chromatography-mass spectrometry
Authors
Han, Yeong-HoonChoi, Tae-RimPark, Ye-LimSong, Hun-SukChoi, Yong-KeunKim, Hyun-JoongBhatia, Shashi KantGurav, RanjitPark, KyungmoonPark, See-HyoungKim, WooseongYang, Yung-Hun
Ewha Authors
김우성
SCOPUS Author ID
김우성scopus
Issue Date
2020
Journal Title
ANALYTICAL BIOCHEMISTRY
ISSN
0003-2697JCR Link

1096-0309JCR Link
Citation
ANALYTICAL BIOCHEMISTRY vol. 597
Keywords
Glutaric acidMetabolitesGas chromatography-mass spectrometryEthyl chloroformateMass chromatogramsAnalytical method
Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
Indexed
SCIE; SCOPUS WOS scopus
Document Type
Article
Abstract
Glutaric acid is a precursor of a plasticizer that can be used for the production of polyester amides, ester plasticizer, corrosion inhibitor, and others. Glutaric acid can be produced either via bioconversion or chemical synthesis, and some metabolites and intermediates are produced during the reaction. To ensure reaction efficiency, the substrates, intermediates, and products, especially in the bioconversion system, should be closely monitored. Until now, high performance liquid chromatography (HPLC) has generally been used to analyze the glutaric acid-related metabolites, although it demands separate time-consuming derivatization and non-derivatization analyses. To substitute for this unreasonable analytical method, we applied herein a gas chromatography - mass spectrometry (GC-MS) method with ethyl chloroformate (ECF) derivatization to simultaneously monitor the major metabolites. We determined the suitability of GC-MS analysis using defined concentrations of six metabolites (L-lysine, cadaverine, 5-aminovaleric acid, 2-oxoglutaric acid, glutamate, and glutaric acid) and their mass chromatograms, regression equations, regression coefficient values (R-2), dynamic ranges (mM), and retention times (RT). This method successfully monitored the production process in complex fermentation broth.
DOI
10.1016/j.ab.2020.113688
Appears in Collections:
약학대학 > 약학과 > Journal papers
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