SHANG Chao-jie, WANG Wei-min, CHEN Su-hua, ZHANG Xiao-di, LIU Yan-chun. Optimization of mango juice enzymolysis process by neural network[J]. Science and Technology of Food Industry, 2014, (19): 238-241. DOI: 10.13386/j.issn1002-0306.2014.19.042
Citation: SHANG Chao-jie, WANG Wei-min, CHEN Su-hua, ZHANG Xiao-di, LIU Yan-chun. Optimization of mango juice enzymolysis process by neural network[J]. Science and Technology of Food Industry, 2014, (19): 238-241. DOI: 10.13386/j.issn1002-0306.2014.19.042

Optimization of mango juice enzymolysis process by neural network

  • In order to study the influence of enzymatic hydrolysis conditions on mango juice yield, the neural network model of mango juice enzymolysis process was established on the basis of single factors, and the process parameters were optimized.The results showed that the optimal enzymolysis process parameters were as follows, pectinase dosage 0.007%, cellulase dosage 0.001%, reaction temperature 40.6℃ and time 60 min. Under these conditions, the yield of mango pulp with peel was 80.48%, the yield of mango pulp without peel was 66.47%, increased by 14.01%, and the quality of juice can be accepted with small changes.This study provides a reference for mango juice production process improvement.
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