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基于三维荧光光谱结合化学计量学鉴别宁夏橡木桶和不锈钢罐陈酿葡萄酒。

Identification of Oak-Barrel and Stainless Steel Tanks with Oak Chips Aged Wines in Ningxia Based on Three-Dimensional Fluorescence Spectroscopy Combined with Chemometrics.

机构信息

Key Laboratory of Quality and Safety of Wolfberry and Wine for State Administration for Market Regulation, Ningxia Food Testing and Research Institute, Yinchuan 750004, China.

College of Pharmacy, Ningxia Medical University, Yinchuan 750004, China.

出版信息

Molecules. 2023 Apr 24;28(9):3688. doi: 10.3390/molecules28093688.

Abstract

With the increased incidence of wine fraud, a fast and reliable method for wine certification has become a necessary prerequisite for the vigorous development of the global wine industry. In this study, a classification strategy based on three-dimensional fluorescence spectroscopy combined with chemometrics was proposed for oak-barrel and stainless steel tanks with oak chips aged wines. Principal component analysis (PCA), partial least squares analysis (PLS-DA), and Fisher discriminant analysis (FDA) were used to distinguish and evaluate the data matrix of the three-dimensional fluorescence spectra of wines. The results showed that FDA was superior to PCA and PLS-DA in classifying oak-barrel and stainless steel tanks with oak chips aged wines. As a general conclusion, three-dimensional fluorescence spectroscopy can provide valuable fingerprint information for the identification of oak-barrel and stainless steel tanks with oak chips aged wines, while the study will provide some theoretical references and standards for the quality control and quality assessment of oak-barrel aged wines.

摘要

随着葡萄酒欺诈事件的增多,一种快速可靠的葡萄酒认证方法已成为全球葡萄酒行业蓬勃发展的必要前提。在这项研究中,提出了一种基于三维荧光光谱结合化学计量学的分类策略,用于区分橡木桶和不锈钢罐中带橡木片陈酿葡萄酒。主成分分析(PCA)、偏最小二乘分析(PLS-DA)和 Fisher 判别分析(FDA)用于区分和评估葡萄酒三维荧光光谱的数据矩阵。结果表明,FDA 在区分橡木桶和不锈钢罐中带橡木片陈酿葡萄酒方面优于 PCA 和 PLS-DA。总的来说,三维荧光光谱可以为橡木桶和不锈钢罐中带橡木片陈酿葡萄酒的鉴别提供有价值的指纹信息,同时为橡木桶陈酿葡萄酒的质量控制和质量评估提供一些理论参考和标准。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/402e/10180402/aac93d87ce35/molecules-28-03688-g001.jpg

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