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中国精品科技期刊2020
马泽亮, 殷廷家, 国婷婷, 王志强, 李彩虹, 郭业民, 孙霞. 采用电子舌法检测橙汁及白酒的品牌及纯度[J]. 食品工业科技, 2018, 39(8): 190-194. DOI: 10.13386/j.issn1002-0306.2018.08.034
引用本文: 马泽亮, 殷廷家, 国婷婷, 王志强, 李彩虹, 郭业民, 孙霞. 采用电子舌法检测橙汁及白酒的品牌及纯度[J]. 食品工业科技, 2018, 39(8): 190-194. DOI: 10.13386/j.issn1002-0306.2018.08.034
MA Ze-liang, YIN Ting-jia, GUO Ting-ting, WANG Zhi-qiang, LI Cai-hong, GUO Ye-min, SUN Xia. The brand and purity of orange juice and liquor were tested by electronic tongue method[J]. Science and Technology of Food Industry, 2018, 39(8): 190-194. DOI: 10.13386/j.issn1002-0306.2018.08.034
Citation: MA Ze-liang, YIN Ting-jia, GUO Ting-ting, WANG Zhi-qiang, LI Cai-hong, GUO Ye-min, SUN Xia. The brand and purity of orange juice and liquor were tested by electronic tongue method[J]. Science and Technology of Food Industry, 2018, 39(8): 190-194. DOI: 10.13386/j.issn1002-0306.2018.08.034

采用电子舌法检测橙汁及白酒的品牌及纯度

The brand and purity of orange juice and liquor were tested by electronic tongue method

  • 摘要: 模仿人类味觉感知机理,研制了一套基于虚拟仪器和物联网的饮料质量电子舌检测系统。系统检测时,首先利用传感器阵列对样本进行大幅脉冲扫描,以获取对各类橙汁及白酒的味觉"指纹"数据,随后采用离散小波变换(discrete wavelet transform,DWT)提取反馈信息中的特征值信息,然后通过主成分分析(principal component analysis,PCA)、偏最小二乘回归分析(partial least squares regression,PLSR)实现对多种橙汁及白酒的定性和定量分析。分析结果通过物联网上传至服务器,用户可使用手机等终端对检测结果进行查询,以实现检测结果的信息共享。将电子舌系统分别应用于橙汁、白酒品牌的区分与纯度检测,结果表明,系统对不同品牌的橙汁、白酒识别率均达到100%,纯度预测模型预测集决定系数R2分别为0.985和0.998,模型相对分析误差RPD分别为2.894和3.272,该系统具有检测速度快、操作简单、成本低廉、稳定可靠、结果易于查询等优点。

     

    Abstract: Imitating the mechanism of human taste perception,an electronic tongue system for beverage quality based on virtual instrument and internet of things was developed. During the detection,the "fingerprint" data of orange juice and liquor were first acquired by sensor array which was stimulated by a large pulse scan,then the feature information was extracted through discrete wavelet transform(DWT)from the feedback data of sensor array,after that,the principal component analysis(PCA)and partial least squares regression analysis(PLSR)were applied for the qualitative and quantitative analysis of these information. The analysis results were uploaded to the server through the internet of things,and in which the users could access it by the mobile phones or other terminals. The developed electronic tongue system was further used to the orange juice and liquor brand distinction and purity detection. The results showed that the identification accuracy for different brand of orange juice and liquor reached 100%,while the correlation coefficient R2 in the validation set were 0.985 and 0.998,as well as the relative percent deviations RPD in validation set were 2.895 and 3.272.This system possessed the advantages of fast detection speed,simple operation,low cost,stability and reliability as well as the result was easy to query.

     

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