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食品研究与开发:2022,43(15):38-47
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不同贮藏温度下油麦菜品质变化及其货架期预测
(云南省农业科学院农产品加工研究所,云南 昆明 650221)
Quality Changes and Predictive Modeling of Shelf Life of Lactuca sativa Stored at Different Temperatures
(Institute of Agro-Products Processing Science and Technology,Yunnan Academy of Agricultural Sciences,Kunming 650221,Yunnan,China)
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投稿时间:2021-06-11    
中文摘要: 为研究不同货架温度对油麦菜贮藏期间品质变化的影响,并预测其货架期,该文分析不同温度下(3、5、7、25℃)油麦菜品质指标随时间-温度的变化情况,并进一步构建油麦菜货架期预测模型。结果表明:低温贮藏能更好地保持油麦菜的商品价值和食用价值,有效减缓油麦菜感官评分、还原型维生素C(vitamin C,VC)含量、叶绿素含量和可溶性固形物含量的下降,延缓失重率和细胞膜透性的增加,并在一定程度上抑制油麦菜的多酚氧化酶(polyphenol oxidase,PPO)活性及其茎部褐变。Pearson相关分析结果表明:除PPO活性与细胞膜透性外,其他指标间均有较高的相关性。动力学分析结果显示,还原型VC含量、叶绿素含量、可溶性固形物含量以及综合感官评分适合一级动力学模型,失重率和a*值的变化符合零级反应动力学模型,经验证所建立的动力学模型可对油麦菜的货架期进行预测。
Abstract:This study aimed to characterize the changes in the quality of Lactuca sativa during storage at different temperatures and predict the shelf life.The changes in main quality indices of L.sativa stored at different temperature(3,5,7,25℃)over time were established as functions,and the shelf-life prediction model was further established.The results showed that low temperature storage maintained the edible and commodity value and slowed down the declines in sensory score,vitamin C(VC)content,chlorophyll content and soluble solid content of L.sativa.Moreover,the low temperature storage inhibited stem browning(a*value)and decreased the polyphenol oxidase (PPO)activity,weight loss rate and relative electrical conductivity of L.sativa.Pearson correlation analysis demonstrated strong correlations between other quality indexes except PPO activity and membrane permeability.The changes in VCcontent,chlorophyll content,soluble solid content and sensory score followed the first order reaction kinetic model,and those in weight loss rate and a*value were in accordance with the zero order reaction kinetic model.The established model was verified effective in the prediction of the shelf life of L.sativa.
文章编号:202215006     中图分类号:    文献标志码:
基金项目:创新蔬菜采后处理和冷链物流技术集成研究(2019ZG001-3);农产品加工团队培育(202102AE090036-13);绿色食品牌”打造科技支撑行动(精深加工)专项经费
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