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The application of response surface methodology in studying the effect of heat and high hydrostatic pressure on anthocyanins, polyphenol oxidase, and peroxidase of mulberry ( Morus nigra ) juice
Author(s) -
Engmann Felix N,
Ma Yongkun,
Zhang Haining,
Yu Lizhi,
Deng Nana
Publication year - 2014
Publication title -
journal of the science of food and agriculture
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.782
H-Index - 142
eISSN - 1097-0010
pISSN - 0022-5142
DOI - 10.1002/jsfa.6612
Subject(s) - hydrostatic pressure , anthocyanin , response surface methodology , polyphenol oxidase , point of delivery , chemistry , food science , peroxidase , polyphenol , residual , botany , horticulture , antioxidant , chromatography , biochemistry , enzyme , mathematics , biology , physics , algorithm , thermodynamics
BACKGROUND Mulberry juice is an excellent source of phytochemicals with medicinal properties. The effects of four independent variables (temperature, heating time, pressure, and pressurising time) on three response variables [% anthocyanin retained, and % residual activities of the enzymes polyphenol oxidase ( PPO ), and peroxidase ( POD )] of mulberry juice were studied using response surface methodology. Mathematical models and optimum levels of the response variables were generated . RESULTS Temperature had the greatest effect on all the response variables. The synergistic effect of temperature and pressure had significant effect ( P < 0.05) on anthocyanin retained and residual PPO activity. The prediction of the desirability model, based on 95% confidence in the range of the independent variables, gave optimal treatment conditions of 83.39°C, 2.38 min, 480.00 MPa , and 21.67 min, respectively for temperature, heating time, pressure, and pressurising time. At these levels, the corresponding response variables were 91.68%, 44.69% and 20.17% for the amounts of anthocyanin retained, and residual activities of PPO and POD , respectively. The desirability index obtained was 0.741 . CONCLUSION The results were desirable and the mathematical models developed could be used to predict the outcome of the response variables to a high degree of accuracy. © 2014 Society of Chemical Industry