不同贮藏温度下鲜百合关键质量属性研究及保质期预测  

Key quality attributes and shelf life prediction of fresh Lilium davidii var.unicolor under different storage temperatures

作　　者：颜月玲 李芷瑶 文有青 于瑶 王海霞 YAN Yue-Ling;LI Zhi-Yao;WEN You-Qing;YU Yao;WANG Hai-Xia(School of Traditional Chinese Medicine and Pharmaceutical Engineering,Tianjin University of Traditional Chinese Medicine,Tianjin 301617,China;Tianjin Key Laboratory of Intelligent and Green Pharmaceuticals for Traditional Chinese Medicine,Tianjin 301617,China;Haihe Laboratory of Modern Chinese Medicine,Tianjin 301617,China)

机构地区：[1]天津中医药大学中药制药工程学院,天津301617 [2]天津市中药智能制药与绿色制药重点实验室,天津301617 [3]现代中医药海河实验室,天津301617

出　　处：《食品安全质量检测学报》2024年第15期83-92,共10页Journal of Food Safety and Quality

基　　金：国家自然科学基金项目(82003944);现代中医药海河实验室科技项目(22HHZYSS00006);2023年天津市高等学校研究生教育改革研究计划项目(TJYG110)。

摘　　要：目的探究不同储藏温度对兰州百合鲜品关键质量属性的影响,并建立保质期预测模型。方法选取大小均匀的兰州百合鳞茎片,分别在4、25和37℃下储藏。考察外观性状、水分含量、水分活度和微生物含量的变化,利用动力学模型和微生物生长模型进行保质期预测。结果鲜百合的感官品质、水分含量和水分活度均随贮藏时间延长而下降。水分含量和水分活度指标关于Arrhenius方程的线性拟合系数R^(2)均大于0.99。此外,微生物一级模型线性拟合精度较高,能够准确预测贮藏过程中细菌生长趋势及数量变化。结论基于水分含量、水分活度和微生物总数构建的预测模型均可用于鲜百合保质期准确预测。此研究为鲜百合采后品质和保质期的研究提供了参考依据,并对鲜百合的生产、贮藏和运输具有重要的实践指导意义。Objective To investigate the effects of different storage temperatures on the key quality attributes of fresh Lilium davidii var.unicolor and to establish predictive models,providing a theoretical basis for its storage and transportation.Methods Blanched fresh Lilium davidii var.unicolor scales of uniform size were stored at 4,25,and 37℃.Changes in appearance,moisture content,water activity,and microbial content were examined.Kinetic models and microbial growth models were used to predict shelf life and analyze the effects of different storage temperatures on the shelf life of fresh lilies.Results The sensory quality,moisture content,and water activity of fresh Lilium davidii var.unicolor decreased with prolonged storage time.As crucial physicochemical indicators,the regression equations of moisture content and water activity on the Arrhenius equation had linear fitting coefficients(R~2)greater than 0.99,indicating good linear regression.Furthermore,the first-order microbial model exhibited high linear fitting accuracy,accurately predicting the trend and quantity changes of bacterial growth during storage.Conclusion The predictive models based on moisture content,water activity,and total microbial count can be utilized for shelf life prediction of fresh Lilium davidii var.unicolor.This study provides a reference for post-harvest quality and shelf life research of fresh Lilium davidii var.unicolor and holds significant practical guidance significance for the production,storage,and transportation of fresh Lilium davidii var.unicolor.

关 键 词：兰州百合 动力学模型 微生物 保质期预测 

分 类 号：TS205[轻工技术与工程—食品科学]