粮油食品科技

中国科技核心期刊

基于电子鼻和电子舌的白酒检测
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Detection of Chinese liquor by electronic nose and electronic tongue
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    摘要:

    研究利用电子鼻和电子舌技术快速检测白酒品质。以不同品牌、不同香型和不同比例掺假白酒为检测对象,采用主成分分析、线性判别分析和偏最小二乘法对电子鼻整体气味响应图谱和电子舌在1、10、100和1000Hz四个不同频段脉冲激发下的金、银、钨、钛四个工作电极组成的传感电极阵列响应信号进行分析。结果显示:电子舌对不同品牌和不同香型白酒的区分能力要优于电子鼻,且LDA的识别效果较PCA更好;利用偏最小二乘法建立的定量预测模型,在主成分数取5时,电子舌所建模型最优。用独立样品检验模型精度,模型预测值和参考值的相关系数为0.881。研究结果可为白酒生产和销售过程中的质量监控提供支持。

    Abstract:

    The rapid detection of Chinese liquor quality by electronic nose and electronic tongue was studied. The adulterated liquors with different brands, different flavors and different proportions were detected. The overall odor response spectra of electronic nose and the response signals of electronic tongue, excitated by pulse in 1Hz, 10Hz, 100Hz and 1000Hz four frequency bands, composed of gold, silver, tungsten, titanium four working electrodes, were analyzed by principal component analysis, linear discriminant analysis and partial least square method. The results showed that electronic tongue was superior to electronic nose in distinguish different brands and different flavor of liquors, and the recognition effect of linear discriminant analysis was exceeded than that of principal component analysis. For the quantitative prediction model according partial least square method, when taking 5 principal components, the model of electronic tongue was the optimal one. The model accuracy was tested by independent sample; the correlation coefficient of prediction and reference values of PLS model was 0.881. This method will provide basic information for quality control of liquors both in production and sale.

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周红标,李珊.基于电子鼻和电子舌的白酒检测[J].粮油食品科技,2014,22(6):78-82.

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  • 在线发布日期: 2014-12-29
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