基于电子鼻和高光谱成像技术的冷鲜牛肉微生物的生长模型构建  

Modeling of microbial growth in chilled beef based on the E-nose and hyperspectral imaging techniques

作　　者：刘小花 周彬静 彭菁[1] 屠康[1] 吴菊清[1] 徐静 武杰 潘磊庆[1] LIU Xiaohua;ZHOU Binjing;PENG Jing;TU Kang;WU Juqing;XU Jing;WU Jie;PAN Leiqing(College of Food Science and Technology,Nanjing Agricultural University,Nanjing 210095,China;School of Food and Biological Engineering,Bengbu University,Bengbu 233030,China)

机构地区：[1]南京农业大学食品科学技术学院,江苏南京210095 [2]蚌埠学院食品与生物工程学院,安徽蚌埠233030

出　　处：《南京农业大学学报》2023年第3期595-605,共11页Journal of Nanjing Agricultural University

基　　金：江苏省重点研发计划项目(BE2020693);安徽省科技重大专项(201903a06020010);安徽省长三角科技创新联合攻关专项(202004g01020009)。

摘　　要：[目的]本文旨在探究基于电子鼻和高光谱成像技术实现冷鲜牛肉中微生物生长曲线拟合的可行性。[方法]采用平板计数法测定4℃恒温贮藏下冷鲜牛肉中的菌落总数,并采集其电子鼻和高光谱数据;采用Huang模型和Baranyi模型建立基于传统平板计数法、电子鼻和高光谱特征信息的生长模型,并对其进行比较。[结果]基于传统平板计数法构建的生长模型精度较高,模型决定系数R 2高达0.993;与平板计数法相比,基于电子鼻特征信息的方法ⅰ和ⅱ所建的生长模型精度略低,R 2大于0.871,二者之间的相关系数r为0.917~0.994。基于高光谱信息的方法Ⅰ所建模型R^(2)与之相当,r高达0.998;而基于高光谱响应值的方法Ⅱ所建的模型表现稍差,R 2为0.749~0.918,r为0.761~0.859。[结论]电子鼻和高光谱特征信息可用于冷鲜牛肉微生物生长曲线拟合,这为无损检测技术在预测微生物学领域的应用提供了理论支持和技术参考。[Objectives]The paper aimed to investigate the feasibility of growth simulation of the microorganisms in chilled meat by the E-nose and hyperspectral imaging techniques(HSI).[Methods]The total viable count of the chilled beef stored at 4℃was determined by the plate count method,and the E-nose and HSI data were collected.And the Huang model and Baranyi model obtained from the plate count method,E-nose and HSI information were compared.[Results]The growth models based on the traditional plate count method were highly accurate,with the model coefficient of determination(R 2)of 0.993.Compared with the plate count method,growth models constructed by Methodⅰandⅱbased on E-nose feature information were slightly less accurate,with R 2 greater than 0.871 and correlation coefficients(r)of 0.917-0.994 between them.The model established by MethodⅠbased on HSI had a comparable R 2,with r of 0.998.Whereas the model based on hyperspectral values(MethodⅡ)performed slightly worse,with R^(2)of 0.749-0.918 and r of 0.761-0.859.[Conclusions]The information of E-nose and HSI could be used to simulate the growth of microorganisms in chilled beef,which provided theoretical support and technical reference for the application of non-destructive testing techniques in predictive microbiology.

关 键 词：电子鼻 高光谱成像 冷鲜牛肉 菌落总数 曲线拟合 

分 类 号：TS251.1[轻工技术与工程—农产品加工及贮藏工程]