Literature DB >> 25895380

[Optimization of fermentation techniques of Massa Medicata Fermentata by response surface methodology].

Teng-fei Liu, Hui Gao, Xiao-yu Liu, Ying Wu, Tian-zhu Jia.   

Abstract

OBJECTIVE: For the first time, the fermentation conditions of Massa Medicata Fermentata were optimized by response surface methodology (RSM) accroding to amylase enzyme activity.
METHODS: Firstly, a series of single factor experiments were done which included the amount of Adzuki beans, fermentation time and fermentation temperature. The Box-Behnken design was used to optimize fermentation conditions. Design-Expert V8.0.6.1 was used to analysis regression model.
RESULTS: The optimum fermentation conditions were determined as follows: the amount of nitrogen source 2.6 g/100 g wheat bran and wheat flour, fermentation temperature 32 °C and fermentation time 3 days. By comparing prediction value and experimental value, it was found that relative error of their enzyme activity was less than 5%.
CONCLUSION: This model can well forecast the amylase enzyme activity of Massa Medicata Fermentata after fermentation. These parameters obtained by RSM can provide scientific basis for the fermentation technology of Massa Medicata Fermentata, and it has a certain practical meaning.

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Year:  2014        PMID: 25895380

Source DB:  PubMed          Journal:  Zhong Yao Cai        ISSN: 1001-4454


  1 in total

1.  Analysis of microbial diversity in Shenqu with different fermentation times by PCR-DGGE.

Authors:  Tengfei Liu; Tianzhu Jia; Jiangning Chen; Xiaoyu Liu; Minjie Zhao; Pengpeng Liu
Journal:  Braz J Microbiol       Date:  2017-01-22       Impact factor: 2.476

  1 in total

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