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电导法结合二次回归正交旋转组合设计确定黄瓜果实低温冷害临界值
引用本文:艾文婷,张敏,李春晖,朱赛赛,邵婷婷,刘威. 电导法结合二次回归正交旋转组合设计确定黄瓜果实低温冷害临界值[J]. 食品科学, 2017, 38(19): 218-222. DOI: 10.7506/spkx1002-6630-201719035
作者姓名:艾文婷  张敏  李春晖  朱赛赛  邵婷婷  刘威
作者单位:上海海洋大学食品学院,上海 201306
基金项目:国家自然科学基金面上项目(31371526)
摘    要:为探索黄瓜果实对低温的忍受能力,为安全运输提供理论依据,本实验采用电导法结合二次回归正交旋转组合设计来确定黄瓜果实低温冷害临界值。以黄瓜电解质外渗百分率为冷害指标建立模型,得到回归方程Y=17.279 244+0.996 139x_1+3.617 484x_2-0.142 947x_1~2-0.136 832x_2~2,根据模型得出电解质外渗百分率在黄瓜受到冷害时的临界值及温度、时间对冷害的影响。最终通过验证实验确定黄瓜受到冷害时电解质外渗率的临界值为17.28%。

关 键 词:黄瓜  冷害指标  电导法  二次回归正交旋转组合设计  

Using Quadratic Regression Orthogonal Rotation Combination Design to Determine the Critical Value of Chilling Injury in Cucumber Fruits Based on Conductivity
AI Wenting,ZHANG Min,LI Chunhui,ZHU Saisai,SHAO Tingting,LIU Wei. Using Quadratic Regression Orthogonal Rotation Combination Design to Determine the Critical Value of Chilling Injury in Cucumber Fruits Based on Conductivity[J]. Food Science, 2017, 38(19): 218-222. DOI: 10.7506/spkx1002-6630-201719035
Authors:AI Wenting  ZHANG Min  LI Chunhui  ZHU Saisai  SHAO Tingting  LIU Wei
Affiliation:College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China
Abstract:In order to explore chilling tolerance in cucumber fruits and provide a theoretical basis for the safe transportation of cucumber fruits, in the present study, a quadratic regression orthogonal rotation combination design was used to determine the critical value of chilling injury in cucumber fruits, which was expressed as the percentage of electrolyte leakage as calculated from electric conductivity. A regression equation describing the percentage of electrolyte leakage (Y) as a function of storage temperature (x1) and time (x2) was developed as follows: Y = 17.279 244 + 0.996 139x1 + 3.617 484x2 ? 0.142 947x1 2 ? 0.136 832x2 2. The critical value of chilling injury in cucumber fruits was determined to be 17.28% using the model and this value was experimentally confirmed.
Keywords:cucumber fruit  chilling injury index  electrical conductivity method  quadratic regression orthogonal rotation combination design  
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