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基于HPLC-DAD三维色谱指纹图谱的国产赤霞珠红葡萄酒产地识别研究

邹华 潘圆 强海清 孟展 尹小丽 谷惠文

轻工学报2026,Vol.41Issue(3):10-18,9.
轻工学报2026,Vol.41Issue(3):10-18,9.DOI:10.12187/2026.03.002

基于HPLC-DAD三维色谱指纹图谱的国产赤霞珠红葡萄酒产地识别研究

Geographical origin identification of Chinese Cabernet Sauvignon red wines based on HPLC-DAD three-dimensional chromatographic fingerprinting

邹华 1潘圆 1强海清 1孟展 1尹小丽 1谷惠文1

作者信息

  • 1. 长江大学 化学与环境工程学院/生命科学学院,湖北 荆州 434023
  • 折叠

摘要

Abstract

[Objective]This study aimed to advance the authenticity identification and origin traceability techniques of wines.[Methods]The three-dimensional chromatographic fingerprints of 45 Cabernet Sauvignon red wines from three famous producing regions in China(Qinhuangdao,Yinchuan,and Turpan)were acquired using high-performance liquid chromatography with diode array detection(HPLC-DAD).The data were then resolved by multivariate curve resolution-alternating least squares(MCR-ALS).Based on the relative concentrations of the resolved components,three machine learning algorithms—principal component analysis(PCA),partial least squares-discriminant analysis(PLS-DA),and support vector machine(SVM)—were applied to discriminate the geographical origins of the red wines.[Results]A total of 56 resolved components were obtained by MCR-ALS analysis of the three-dimensional chromatographic fingerprints.PCA score plots showed a tendency of the wines to cluster according to their geographical origins.Both PLS-DA and SVM models achieved good classification performance,with 100%recognition accuracy for both the training and prediction sets.Furthermore,a VIP-PLS-DA model based on 22 differential variables enabled accurate discrimination of the geographical origins of the wines with 100%.[Conclusion]The HPLC-DAD three-dimensional chromatographic fingerprinting technique combined with machine learning algorithms can establish a stable and reliable recognition model,and is expected to provide objective and accurate identification of three geographical origins of Chinese Cabernet Sauvignon red wines.

关键词

赤霞珠红葡萄酒/HPLC-DAD/三维色谱指纹图谱/产地识别/机器学习

Key words

Cabernet Sauvignon red wine/HPLC-DAD/three-dimensional chromatographic fingerprinting/origin identification/machine learning

分类

轻工纺织

引用本文复制引用

邹华,潘圆,强海清,孟展,尹小丽,谷惠文..基于HPLC-DAD三维色谱指纹图谱的国产赤霞珠红葡萄酒产地识别研究[J].轻工学报,2026,41(3):10-18,9.

基金项目

国家自然科学基金项目(32371501 ()

32272409) ()

宁夏回族自治区重点研发计划重点项目(2026BEG02035) (2026BEG02035)

轻工学报

2095-476X

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