Mass Spectrometry Letters

Korean Society for Mass Spectrometry (한국질량분석학회)
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Organic Acid Profiling Analysis in Culture Media of Lactic Acid Bacteria by Gas Chromatography-Mass Spectrometry

  • Lee, Jae-Yeon (R&D Center for Life Science, Biotopia Co., Ltd.) ;
  • Nguyen, Duc-Toan (Department of Molecular Science and Technology, Ajou University) ;
  • Park, Young-Shik (R&D Center for Life Science, Biotopia Co., Ltd.) ;
  • Hwang, Kyo-Yeol (R&D Center for Life Science, Biotopia Co., Ltd.) ;
  • Cho, Yong-Seok (R&D Center for Life Science, Biotopia Co., Ltd.) ;
  • Kang, Kyung-Don (R&D Center for Life Science, Biotopia Co., Ltd.) ;
  • Yoon, Jae-Hwan (Department of Molecular Science and Technology, Ajou University) ;
  • Yu, Jun-Dong (Racing Laboratory, Korea Racing Authority) ;
  • Yee, Sung-Tae (College of Pharmacy, Sunchon National University) ;
  • Ahn, Young-Hwan (Department of Neurosurgery, Ajou University School of Medicine) ;
  • Lee, Gwang (Department of Molecular Science and Technology, Ajou University) ;
  • Seong, Su-Il (R&D Center for Life Science, Biotopia Co., Ltd.) ;
  • Paik, Man-Jeong (College of Pharmacy, Sunchon National University)
  • Received : 2012.05.30
  • Accepted : 2012.08.20
  • Published : 2012.09.20
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Abstract

Organic acid (OA) profiling analysis was performed in culture media from Lactobacillus pentosus K34 (L. pentosus K34) and Pediococcus lolli PL24 (P. lolli PL24) by gas chromatography-mass spectrometry (GC-MS) following methoxime/tert-butyldimethylsilyl derivatives. 12 OAs were positively identified in culture media. Most of OA levels from L. pentosus K34 of hetero lactic fermentation were found to be higher when compared with those from P. lolli PL24 of homo lactic fermentation, which may explain different OA metabolism in each strain. In addition, the distorted dodecagonal star patterns were readily distinguishable, and the characteristics of each strain were well represented. The present study demonstrates that the OA metabolic profiling method by GC-MS combined with star pattern recognition is useful for the monitoring study of characteristic OA metabolism in various microorganisms.

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