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响应面法在研究热和高静水压对桑(黑桑)汁中花青素、多酚氧化酶和过氧化物酶影响方面的应用。

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.

作者信息

Engmann Felix N, Ma Yongkun, Zhang Haining, Yu Lizhi, Deng Nana

机构信息

School of Food and Biological Engineering, Jiangsu University, 301 Xuefu Road, Zhenjiang, 212013, China; School of Applied Sciences, Kumasi Polytechnic, P. O. Box 854, Kumasi, Ghana.

出版信息

J Sci Food Agric. 2014 Aug;94(11):2345-56. doi: 10.1002/jsfa.6612. Epub 2014 Mar 12.

DOI:10.1002/jsfa.6612
PMID:24515522
Abstract

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.

摘要

背景

桑椹汁是具有药用特性的植物化学物质的优质来源。采用响应面法研究了四个自变量(温度、加热时间、压力和加压时间)对桑椹汁三个响应变量[花青素保留率、多酚氧化酶(PPO)和过氧化物酶(POD)的残留活性百分比]的影响。生成了响应变量的数学模型和最佳水平。

结果

温度对所有响应变量的影响最大。温度和压力的协同效应对花青素保留率和PPO残留活性有显著影响(P<0.05)。基于自变量范围内95%置信度的合意性模型预测,分别给出了温度、加热时间、压力和加压时间的最佳处理条件为83.39°C、2.38分钟、480.00兆帕和21.67分钟。在这些水平下,花青素保留量、PPO和POD残留活性的相应响应变量分别为91.68%、44.69%和20.17%。获得的合意性指数为0.741。

结论

结果令人满意,所建立的数学模型可用于高度准确地预测响应变量的结果。

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