翠冠梨采后货架期预测模型的构建  

Building Shelf-life Prediction Model of Postharvest 'Cuiguan' Pear

作　　者：胡位歆 刘东红[1,2] 丁甜[1] 王文骏[1] 

机构地区：[1]浙江大学生物系统工程与食品科学学院,杭州310058 [2]浙江大学馥莉食品研究院,杭州310058

出　　处：《中国食品学报》2017年第7期119-128,共10页Journal of Chinese Institute Of Food Science and Technology

基　　金："十二五"国家科技支撑计划项目(2011BAD24B01);"十二五"国家科技支撑计划项目(2013BAD19B05)

摘　　要：以八成熟的翠冠梨为试验原料,研究不同环境温度(4,15,25,35℃)和湿度(30%,50%,70%,90%)条件对翠冠梨贮藏过程中硬度、黑皮病指数、水分含量、可溶性固形物含量、可滴定酸含量、丙二醛(MDA)含量、超氧化物歧化酶(SOD)活性等品质指标的影响。设计双因素交叉试验,以Arrhenius方程为基础,建立基于黑皮病指数的货架期预测模型。在4~35℃、70%~90%湿度范围,根据该模型对翠冠梨的货架期进行预测。The quality of eight-percent-ripe ‘cuiguan＇ pear stored at different temperature（4, 10, 25, 37 ℃） and moisture（30%, 50%, 70%, 90%） were studied. The changes of hardness, superficial scald index, water content, TSS content, TA content, MDA content and SOD activity of ‘cuiguan＇ pear were determined during storing process. The cross experiment under different temperature and moisture was designed. The shelf-life prediction model of superficial scald index was developed based on Arrhenius equation. The shelf-life of ‘cuiguan＇ pear can be predicted at the storage temperature from 4 ℃ to 35 ℃ and moisture from 70% to 90% based on the model.

关 键 词：翠冠梨 货架期 预测 模型 Arrhenius方程 温度 湿度 

分 类 号：TS255.3[轻工技术与工程—农产品加工及贮藏工程]