利用物理硬度模型和感官综合因子模型预测长茄货架寿命

Study on prediction the shelf-life of long eggplant using physical rigidity model and sensory synthetic factor model

中文关键词:  非线性拟合  硬度  剩余货架寿命  感官评定综合因子

英文关键词:nonlinear fitting  rigidity  shelf-life remaining  sensory synthetic factor

中文摘要:

      目的 利用物理硬度模型和感官综合因子模型分析长茄感官指标、硬度指标与贮藏天数的相关性, 为建立长茄货架寿命预测模型提供理论依据。方法 通过长茄物理指标硬度值对时间经非线性拟合获得不同温度(10、30 ℃)下的指数函数方程, 利用3T原理和威布尔危害分析法求得累计硬度(品质)损失值∑S, 从而计算长茄在10、30 ℃经历不同时间所消耗的∑?〖S=〗 ∫_1^tend?〖〖-A〗_2?B_2?e^((-B_2)/x) 〗?1/x^2 dx, 并求得货架剩余寿命。结果 通过真实温度变化不同时间条件下长茄的实际感官评分、物理硬度值与预测模型计算值进行比较, 相对误差小于10%。当长茄在(10、30 ℃)下由于温度变化造成货架寿命变化, 通过10 ℃感官评分综合因子线性回归方程K=-0.851X+29.359, 结合在两温度段下基于物理指标硬度的非线性拟合方程F_i (x)=A_i?e^((-B_i)/x)+C_i, 可用于长茄货架寿命预测。结论 两种模型相结合能有效预测长茄的货架期, 长茄在30 ℃条件下模型预测货架寿命为4.01 d, 10 ℃时的预测寿命为15.01 d。

英文摘要:

      Objective To study the correlation between sensory, rigidity index and storage time, which provide the theoretical basis for the establishment of shelf-life prediction model. Methods The exponential function equations at different temperatures (10, 30 °C) were obtained through the nonlinear fitting of eggplant’s physical values of rigidity to time. Then, the cumulative rigidity (quality) loss value ∑S of eggplants was obtained on the basis of the T.T.T. principle and Weibull analysis, thereby calculating the consumption of ∑S of long eggplant stored at different temperatures (10, 30 °C) for different time ∑?〖S=〗 ∫_1^tend?〖〖-A〗_2?B_2?e^((-B_2)/x) 〗?1/x^2 dx, and predicting their remaining shelf-life. Results The actual sensory factor value as well as rigidity value comparing with the predict data, the relative errors were lower than 10%. The eggplant shelf-life predict model could be established with the sensory synthetic factor K model (10 ℃)-linear regression equation: K=-0.851X+29.359 and physical rigidity model (10, 30 ℃)-nonlinear fitting equation: F_i (x)=A_i?e^((-B_i)/x)+C_i. Conclusion The K model and physical rigidity model can be effectively predict the shelf life of long eggplant. The long eggplant’s predicted shelf-life is 4.01 d in 30 ℃ and 15.01 d in 10 ℃.