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基于电子鼻的猪肉冷冻储藏期的无损检测方法

杨潇 郭登峰 王祖文 赵素娟 舒晓梦 王羚佳 陈祥贵

食品与发酵工业2018,Vol.44Issue(3):247-252,6.
食品与发酵工业2018,Vol.44Issue(3):247-252,6.DOI:10.13995/j.cnki.11-1802/ts.015045

基于电子鼻的猪肉冷冻储藏期的无损检测方法

Frozen pork shelf life monitoring by electronic nose nondestructive testing

杨潇 1郭登峰 1王祖文 1赵素娟 1舒晓梦 1王羚佳 1陈祥贵1

作者信息

  • 1. 西华大学食品与生物工程学院,四川成都,610039
  • 折叠

摘要

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.

关键词

猪肉/冻藏期/电子鼻/模式识别算法

Key words

pork/frozen storage shelf life/electronic nose/pattern recognition algorithm

引用本文复制引用

杨潇,郭登峰,王祖文,赵素娟,舒晓梦,王羚佳,陈祥贵..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):247-252,6.

基金项目

四川省科技厅应用基础项目(2017JY0121) (2017JY0121)

四川省教育厅项目重点项目(16ZA0151) (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) (szjj2015-004)

省级大学生创新创业训练计划项目(201510623023) (201510623023)

食品与发酵工业

OA北大核心CSCDCSTPCD

0253-990X

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