摘要
目的:基于Arrhenius方程结合气象温度数据构建西红柿品质预测耦合模型,预测西红柿在极端气温下短期贮运过程的品质变化.方法:分析2020年潍坊、保定、大兴气象温度数据,选取7个温度点模拟西红柿在短期贮运过程中极端温度的变化范围.基于Arrhenius方程,结合气温与失重率、硬度、色差(△E)和感官评分(SE)构建西红柿品质预测耦合模型,并选取-10,12 ℃进行验证.结果:贮运48 h内,西红柿的失重率和△E逐渐增加,SE和硬度逐渐降低.基于Arrhenius方程结合气象温度数据构建品质预测耦合模型,0～3 6 ℃贮藏条件下,失重率和SE变化采用零级反应拟合,硬度与△E变化分别采用一级反应与半级反应拟合;-15～0 ℃贮藏条件下,SE、△E、失重率与硬度的变化均采用零级反应拟合.对预测模型进行验证,12 ℃贮藏条件下西红柿的失重率、硬度与SE的相对误差在15％以内(除48 h的);-10 ℃贮藏条件下,西红柿的硬度与SE的相对误差在15％以内(除48 h的).结论:基于Arrhenius方程结合极端气象温度数据构建的西红柿品质预测耦合模型能够有效预测极端温度条件下西红柿的品质.
Abstract
Objective:A coupled model for predicting tomato quality during short-term storage and transportation under extreme temperatures,utilizing the Arrhenius equation in conjunction with meteorological temperature data,to forecast the quality changes in tomatoes during the short-term storage and transportation processes under extreme weather conditions.Methods:Analyzing the meteorological temperature data for the year 2020 in Weifang,Baoding,and Daxing,7 temperature points were selected to simulate the range of temperature variations for short-term storage and transportation of tomatoes.By utilizing the Arrhenius equation and integrating temperature with weight loss rate,hardness,color difference(△E),and sensory evaluation scores(SE),a coupled model was developed for predicting tomato quality.The model was validated by using temperatures of-10 ℃ and 12 ℃.Results:Within 48 hours of storage and transportation,Loss rate and △E of tomatoes gradually increased,while evaluation scores(SE)and hardness decreased gradually.The quality prediction coupling model based on the Arrhenius equation combined with meteorological temperature data was constructed.Under storage conditions from 0 to 36 ℃,changes in loss rate and SE were fitted with zero-order reactions,while changes in hardness and △E were fitted with first-order and half-order reactions,respectively.For storage conditions from-15 to 0 ℃,zero-order reaction fits were applied to model the changes in SE,△E,weight loss rate,and hardness.Validation of the predictive model revealed that,under 12 ℃ storage conditions,the relative errors for tomato weight loss rate,hardness,and SE were within 15％,except for the 48 hour prediction.Under-10 ℃ storage conditions,the relative errors for tomato hardness and SE were within 15％,excluding the 48 hour prediction.Conclusion:The coupled model for tomato quality prediction,constructed by integrating the Arrhenius equation with extreme meteorological temperature data,proves to be effective in forecasting the quality of tomatoes under extreme temperature conditions.
基金项目
国家自然科学基金(32071917)
青年北京学者计划()
浙江省"尖兵领雁"研发攻关计划(2023C02006)
兵团指导性科技计划(TDZKCX202207)
维普
万方数据