基于电子舌和近红外光谱技术的进口牛肉产地溯源
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浙江省重点研发项目(2018C02041)


Origin Traceability of Imported Beef Based on Electronic Tongue and NIR Spectra
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    摘要:

    为评估电子舌和近红外光谱技术对进口牛肉产地溯源的可行性,以澳大利亚、新西兰和加拿大进口安格斯牛肉为研究对象,分别测定其电子舌滋味特征图谱和近红外光谱数据,利用主成分分析和判别分析法,建立进口牛肉产地溯源的定性判别模型。研究结果显示,3个产地进口牛肉样本的电子舌滋味特征信号在SRS(酸味)、STS(咸味)、SWS(甜味)和GPS(复合味2) 4根传感器上响应值差异显著。在全光谱范围(4 000~12 000 cm-1),经SNV(标准正态变量变换)+FD(一阶导数)+SG(Savitzky-Golay平滑)预处理后,3个产地进口牛肉样本的近红外平均光谱有显著差异。基于电子舌滋味特征图谱和预处理后近红外光谱数据的主成分分析和典则判别分析均能有效区分不同产地进口牛肉样本,判别正确率均为100%。说明电子舌和近红外光谱技术结合多元统计分析法可作为澳大利亚、新西兰和加拿大进口安格斯牛肉产地判别的有效手段。本研究结果为我国进口牛肉质量安全检测、监测提供了技术参考和数据支撑。

    Abstract:

    In this study, we evaluated the feasibility of electronic tongue (ET) and near infrared spectra (NIRS) technique in the origin traceability of imported beef. The characteristic taste and the near infrared spectral data of imported Angus beef samples from Australia, New Zealand and Canada were separately determined by ET and NIRS, and then treated by principal component analysis (PCA) and canonical discriminant analysis (CDA), and qualitative discrimination models were finally established for tracing the geographical origin of imported beef. The results showed that the ET signal values of imported beef samples from different geographical origins were significantly different on four sensors as following: SRS (sour), STS (salty), SWS (sweet) and GPS (composite taste 2). Significant differences was also detected among the imported beef samples from three regions based on the NIR spectra over the full spectral range (4 400-12 000 cm-1) after pretreatment of SNV (Standard Normal Variable transformation), FD (First Derivative) and SG (Savitzky-Golay Smoothing). PCA and CDA models established based on the ET and pretreated NIRs data could effectively distinguish imported beef samples from three different geographical origins, and the discrimination accuracy of both were 100%. Hence, the ET and NIRS combined with multivariate statistical methods were effective in geographical tracing of imported Angus beef from Australia, New Zealand and Canada. Our results provide technical references and supportive data for the quality and safety inspection and monitoring of imported beef in China.

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黄珏;王正亮;李慕雨;付贤树;俞晓平.基于电子舌和近红外光谱技术的进口牛肉产地溯源[J].中国食品学报,2021,21(12):254-260

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  • 在线发布日期: 2022-01-05
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