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作 者:陈辰[1,2] 鲁晓翔[1,2] 张鹏[3,4] 陈绍慧[3,4] 李江阔[3,4]
机构地区:[1]天津商业大学生物技术与食品科学学院,天津300134 [2]天津市食品生物技术重点实验室,天津300134 [3]国家农产品保鲜工程技术研究中心,天津300134 [4]天津市农产品采后生理与贮藏保鲜重点实验室,天津300384
出 处:《食品与机械》2015年第6期137-141,共5页Food and Machinery
基 金:"十二五"国家科技支撑计划项目(编号:2012BAD38B01);天津市高等学校创新团队培养计划项目(编号:TD12-5049)
摘 要:为了建立基于电子鼻技术的玫瑰香葡萄贮藏期快速、无损判别方法。采用电子鼻PEN3系统分别对10,0℃贮藏不同时间的玫瑰香葡萄进行检测,分析传感器载荷贡献率,应用主成分分析、线性判别分析对贮藏期进行区分,建立贮藏期判别模型,比较马氏距离法、欧氏距离法、相关性法、判别函数分析法对未知样品贮藏时间的判别效果,同时测定贮藏期间的好果率、可溶性固形物、总酸、VC、硬度等指标,考察品质变化规律。结果表明:玫瑰香葡萄在贮藏期间品质变化呈现一定规律性,电子鼻不同的模式识别方法可将不同贮藏期样品有效区分,应用判别函数分析对未知样品的判别正确率达95%。因此,利用电子鼻判别玫瑰香葡萄的贮藏期方法可行。The aim was to establish a rapid discrimination method of Muscat grape during storage based on the electronic nose technology.Samples of different storage time stored in 10,0℃ were detected using PEN3 electronic nose system,operating loadings contribution rate analysis of sensors,principal component analysis,linear discriminant analysis to distinguish the storage period,establishing of the discriminant model,and then compared the prediction power of Mahalanobis distance,Euclidean distance,correlation,discriminant function analysis method by unknown samples.At the same time,the rate of good fruit,soluble solids content,total acid content,VC content,hardness index were measured to reflect the changes of quality during storage.The results showed that the quality changes of Muscat grape during storage obeyed certain regularity,different pattern recognition method of electronic noses could distinguish different storage periods of samples effectively,application of discriminant function discriminant analysis to predict unknown samples got the highest correct rate,reaching 95%.Therefore,discriminant of Muscat grape storage period using electronic nose is feasible.
分 类 号:TS255.7[轻工技术与工程—农产品加工及贮藏工程]
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