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http://dx.doi.org/10.4014/jmb.2204.04029

Probiotic Properties and Optimization of Gamma-Aminobutyric Acid Production by Lactiplantibacillus plantarum FBT215  

Kim, Jaegon (Department of Biological Science and Technology, Yonsei University)
Lee, Myung-Hyun (Department of Biological Science and Technology, Yonsei University)
Kim, Min-Sun (Department of Biological Science and Technology, Yonsei University)
Kim, Gyeong-Hwuii (Department of Biological Science and Technology, Yonsei University)
Yoon, Sung-Sik (Department of Biological Science and Technology, Yonsei University)
Publication Information
Journal of Microbiology and Biotechnology / v.32, no.6, 2022 , pp. 783-791 More about this Journal
Abstract
Gamma-aminobutyric acid (GABA) improves various physiological illnesses, including diabetes, hypertension, depression, memory lapse, and insomnia in humans. Therefore, interest in the commercial production of GABA is steadily increasing. Lactic acid bacteria (LAB) have widely been reported as a GABA producer and are safe for human consumption. In this study, GABA-producing LAB were preliminarily identified and quantified via GABase assay. The acid and bile tolerance of the L. plantarum FBT215 strain were evaluated. The one-factor-at-a-time (OFAT) strategy was applied to determine the optimal conditions for GABA production using HPLC. Response surface methodology (RSM) with Box-Behnken design was used to predict the optimum GABA production. The strain FBT215 was shown to be acid and bile tolerant. The optimization of GABA production via the OFAT strategy resulted in an average GABA concentration of 1688.65 ± 14.29 ㎍/ml, while it was 1812.16 ± 23.16 ㎍/ml when RSM was applied. In conclusion, this study provides the optimum culture conditions for GABA production by the strain FBT215 and indicates that L. plantarum FBT215 is potentially promising for commercial functional probiotics with health claims.
Keywords
Gamma-aminobutyric acid; Lactiplantibacillus plantarum; probiotic properties; optimization; one-factor-at-a-time strategy; response surface methodology;
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