基于电子鼻的猪肉冷冻储藏期的无损检测方法

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  • (西华大学 食品与生物工程学院,四川 成都, 610039)
博士,高级实验师

网络出版日期: 2018-03-26

基金资助

四川省科技厅应用基础项目 (2017JY0121);四川省教育厅项目重点项目 (16ZA0151);西华大学粮油工程与食品安全高效重点实验室省部级学科平台开放课题 (szjj2015-004);省级大学生创新创业训练计划项目(201510623023)

Frozen pork shelf life monitoring by electronic nose nondestructive testing

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  • (School of Food and Biological Engineering, XiHua University, Chengdu 610039, China)

Online published: 2018-03-26

摘要

建立基于电子鼻的猪肉冷冻储藏期和冻藏前冷藏时间的无损检测方法。5 cm见方冻藏猪肉置于100 mL烧杯中以保鲜膜密封,采用PEN3型电子鼻对烧杯中上层气体进行检测。检测数据分别采用主成分分析和重复测量的方差分析了解多元数据的分布特点。进而利用线性判别和基于多层感知器的神经网络算法建立猪肉冷冻储藏期和冻藏前冷藏时间的预测模型。结果表明,冷冻储藏不同时间及冻藏前冷藏不同时间的猪肉样品的电子鼻检测数据存在显著差异;通过神经网络算法建立的预测模型对猪肉冷冻储藏期和冻藏前不同冷藏时间具有更好预测能力。 该检测方法操作简便,快速高效可实现无损现场检测,为加强冷冻肉品监督管理提供了一种简便可行的检测技术。

本文引用格式

杨潇 , 郭登峰 , 王祖文 , 等 . 基于电子鼻的猪肉冷冻储藏期的无损检测方法[J]. 食品与发酵工业, 2018 , 44(3) : 247 . DOI: 10.13995/j.cnki.11-1802/ts.015045

Abstract

An electronic nosed based nondestructive method was established for detecting frozen pork quality as well as determining whether the pork had been refrigerated at 4 ℃ for a long time before frozen. 5 cm thick square frozen pork was added into a 100 mL beaker and sealed by a membrane; PEN3 electronic nose was used to detect the gas in the upper beaker. The data were analyzed by principal component analysis and variance analysis to understand the distribution of multiple data. Secondly, the prediction model of frozen pork and whether it has been refrigerated at 4 ℃ for a long time before the frozen storage was established. There are significant differences of electronic nose data of frozen pork at different storage as well as whether it had been refrigerated at 4 ℃ for a long time. Both linear discriminant analysis and neural network algorithm based on multi-layer perceptron can establish a successful prediction model. The predictive model based on neural network algorithm has better prediction. The detection method is simple, fast and efficient and nondestructive. It lays a technical foundation in order to enhance the supervision and management for frozen meat.
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