Journal of Microbiology and Biotechnology
The Korean Society for Microbiology and Biotechnology publishes the Journal of Microbiology and Biotechnology.

2017 ; Vol.27-4: 701~708

AuthorMinji Kim, Won-Baek Kim, Kyoung Yoon Koo, Bo Ram Kim, Doohyun Kim, Seoyoun Lee, Hong Joo Son, Dae Youn Hwang, Dong Seob Kim, Chung Yeoul Lee, Heeseob Lee
Place of dutyDepartment of Food Science and Nutrition, College of Human Ecology, Pusan National University, Busan 46241, Republic of Korea
TitleOptimal Fermentation Conditions of Hyaluronidase Inhibition Activity on Asparagus cochinchinensis Merrill by Weissella cibaria
PublicationInfo J. Microbiol. Biotechnol.2017 ; Vol.27-4
AbstractThis study was conducted to evaluate the hyaluronidase (HAase) inhibition activity of Asparagus cochinchinesis (AC) extracts following fermentation by Weissella cibaria through response surface methodology. To optimize the HAase inhibition activity, a central composite design was introduced based on four variables: the concentration of AC extract (X1: 1–5%), amount of starter culture (X2: 1–5%), pH (X3: 4–8), and fermentation time (X4: 0–10 days). The experimental data were fitted to quadratic regression equations, the accuracy of the equations was analyzed by ANOVA, and the regression coefficients for the surface quadratic model of HAase inhibition activity in the fermented AC extract were estimated by the F test and the corresponding p values. The HAase inhibition activity indicated that fermentation time was most significant among the parameters within the conditions tested. To validate the model, two different conditions among those generated by the Design Expert program were selected. Under both conditions, predicted and experimental data agreed well. Moreover, the content of protodioscin (a well-known compound related to anti-inflammation activity) was elevated after fermentation of the AC extract at the optimized fermentation condition.
Full-Text
Key_wordAsparagus cochinchinensis Merrill, fermentation, HAase (HAase) inhibition activity, response surface methodology (RSM)
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