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基于电子鼻的低温贮藏草鱼品质预测方法研究
引用本文:惠国华,陈裕泉. 基于电子鼻的低温贮藏草鱼品质预测方法研究[J]. 传感技术学报, 2012, 25(2): 157-161
作者姓名:惠国华  陈裕泉
作者单位:浙江工商大学食品与生物工程学院;浙江大学生物医学工程与仪器科学学院
基金项目:浙江省公益技术应用研究项目(2011C21051);国家自然科学基金项目(81000645);浙江省自然科学基金项目(Y1100150)
摘    要:提出了一种基于电子鼻的低温贮藏(277 K)草鱼品质预测方法。实验检测了草鱼样品顶空挥发气体,实验结果表明电子鼻传感器阵列对草鱼样品的响应值随着贮藏时间的增加而增加。同时实验检测了草鱼样品的菌落总数指标,电子鼻响应与微生物指标之间具有良好的对应关系。信噪比谱方法成功区分不同贮藏时间的草鱼样品。我们依据信噪比特征值建立了样品品质预测模型,该模型可以准确的预测低温贮藏草鱼样品品质,具有较好的实用价值。

关 键 词:电子鼻  草鱼  品质预测  随机共振  信噪比

Investigation of Chilled-stored Grass Carp Quality Predicting Method Utilizing Electronic Nose
HUI Guohua,CHEN Yuquan. Investigation of Chilled-stored Grass Carp Quality Predicting Method Utilizing Electronic Nose[J]. Journal of Transduction Technology, 2012, 25(2): 157-161
Authors:HUI Guohua  CHEN Yuquan
Affiliation:1.College of Food Science and Biotechnology,Zhejiang Gongshang University,Hangzhou 310035,China;2.College of Biomedical Engineering and Instrument Science,Zhejiang University,Hangzhou 310027,China)
Abstract:A chilled-stored(277 K)grass carp quality evaluating method,based on electronic nose,has been proposed.The volatile gas in the headspace of grass carp samples is measured.The electronic nose sensor array responses to grass cap samples increase with the extension of storage time.Total viable count(TVC)index of the samples is also examined.The corresponding relationship between electronic nose responses and the microbial growth can be established.Signal-to-noise ratio(SNR)spectrum discriminate grass carp samples in different storage time successfully.The chilled-stored grass carp quality predicting model is developed using SNR features.The developed model predicts the quality of samples with high accuracy.This method presents a good practical application value.
Keywords:electronic nose  grass carp  quality prediction  stochastic resonance  signal-to-noise ratio
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