Geographical origin identification of Chinese red wines using ultraviolet-visible spectroscopy coupled with machine learning techniques

Gu, Hui‐Wen; Zhou, Huihui; Lv, Yi; Wu, Qiao; Pan, Yuan; Peng, Zhi-Xin; Zhang, Xiaohua; Yin, Xingtian

doi:10.1016/j.jfca.2023.105265

Cited by 19 publications

(1 citation statement)

References 35 publications

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“…UV spectroscopy can characterize samples as a vector of absorbance, which can be used for quantitative and qualitative analysis. The technique has been applied to several investigations of beverages, for example, the geographical origins of Chinese rice wines (Wu et al 2015), the assessment and differentiation of different Japanese Awamori spirit (Li et al 2020), the Rapid quantitative analysis of Chinese Gujinggong spirit for its quality control ,the rapid brand discrimination of some liquors such as whiskey (Martins et al 2017), chinese red wine (Gu et al 2023),pinot noir (Giglio et al 2023)and Haizhilan , and so on. Brie y, the liquor discrimination method based on UV spectrometer is easy to popularize and use, therefore, it has high application value for on-site test.…”

Section: Introductionmentioning

confidence: 99%

Discrimination of Chinese Huzhu Qingke Liquor by using Ultra-Violet Spectroscopy Combined with Chemometrics

Zhao,

Zhang,

et al. 2024

Preprint

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Qingke liquor, a renowned Tibetan alcoholic beverage derived from hull-less highland barley exclusively cultivated in the Qinghai-Tibetan Plateau, has witnessed a surge in sales. However, the issue of adulteration has emerged as a pressing concern demanding immediate attention. The research focuses on the rapid identification methods of 'Huzhu' brand Qingke liquor, a geographical indications protection product, using UV spectroscopy. Two approaches are proposed: principal component analysis-support vector machine (PCA-SVM) and multi-model partial least squares-discriminant analysis (MPLS-DA). Three categories of liquors are considered: Chinese 'Huzhu' Qingke Liquors (CHQL), Other Brand Qingke Liquors (OBQL), and Non-Qingke-Based Liquors (NQBL). SVM is performed using two principal components to solve the binary classification problem, while PLS1 algorithm is used for each column of the dummy variable Y in MPLS-DA to integrate prediction results from submodels. Both PCA-SVM and MPLS-DA successfully build discrimination models for CHQL. PCA-SVM distinguishes CHQL from OBQL and NQBL but cannot differentiate between OBQL and NQBL. In contrast, MPLS-DA correctly identifies all three classes of samples. These results demonstrate that the proposed method can serve as a simple and rapid identification approach for CHQL, with MPLS-DA exhibiting superior sample recognition capabilities.

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Section: Introductionmentioning

confidence: 99%

Discrimination of Chinese Huzhu Qingke Liquor by using Ultra-Violet Spectroscopy Combined with Chemometrics

Zhao,

Zhang,

et al. 2024

Preprint

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Feasibility assessment of a low‐cost visible spectroscopy‐based prototype for monitoring polyphenol extraction in fermenting musts

Alfieri,

Modesti,

Bellincontro

et al. 2024

J Sci Food Agric

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BACKGROUNDPolyphenols have long been used to evaluate grape and wine quality and it is necessary to measure them throughout various winemaking stages. They are currently assessed predominantly through analytical methods, which are characterized by time‐consuming procedures and environmentally harmful practices. Non‐destructive spectroscopy‐based devices offer an alternative but they tend to be costly and not readily accessible for smaller wineries. This study introduces the initial steps in employing a portable, user‐friendly, and cost‐effective visible (VIS) spectrophotometer prototype for direct polyphenol measurement during winemaking.RESULTSGrapes (cv Syrah, Bobal, and Cabernet Sauvignon) at different maturation stages were fermented with or without stems. Throughout fermentation, parameters such as color intensity, total polyphenol index, total anthocyanins, and tannins were monitored. Concurrently, VIS spectra were acquired using both the prototype and a commercial instrument. Chemometric approaches were then applied to establish correlation models between spectra and destructive analyses. The prototype models demonstrated an acceptable level of confidence for only a few parameters, indicating their lack of complete reliability at this stage.CONCLUSIONSVisible spectroscopy is already utilized for polyphenol analysis in winemaking but the aspiration to automate the process in wineries, particularly with low‐cost devices, remains unrealized. This study investigates the feasibility of a low‐cost and user‐friendly spectrophotometer. The results indicate that, in the early stages of prototype utilization, the goal is attainable but requires further development and in‐depth assessments. © 2024 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

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Revealing the key antioxidant compounds and potential action mechanisms of Chinese Cabernet Sauvignon red wines by integrating UHPLC-QTOF-MS-based untargeted metabolomics, network pharmacology and molecular docking approaches

Peng,

Gu,

Pan

et al. 2024

Food Chemistry

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Geographical origin identification of Chinese red wines using ultraviolet-visible spectroscopy coupled with machine learning techniques

Cited by 19 publications

References 35 publications

Discrimination of Chinese Huzhu Qingke Liquor by using Ultra-Violet Spectroscopy Combined with Chemometrics

Discrimination of Chinese Huzhu Qingke Liquor by using Ultra-Violet Spectroscopy Combined with Chemometrics

Feasibility assessment of a low‐cost visible spectroscopy‐based prototype for monitoring polyphenol extraction in fermenting musts

Revealing the key antioxidant compounds and potential action mechanisms of Chinese Cabernet Sauvignon red wines by integrating UHPLC-QTOF-MS-based untargeted metabolomics, network pharmacology and molecular docking approaches

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