鉴别和确定葡萄酒成分组成和质量的色谱法

IF 1 4区 化学 Q4 CHEMISTRY, ANALYTICAL Journal of Analytical Chemistry Pub Date : 2024-10-22 DOI:10.1134/S1061934824700734
Z. A. Temerdashev, A. G. Abakumov, O. N. Shelud’ko, Yu. F. Yakuba, T. G. Tsyupko
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引用次数: 0

摘要

本文综述了有关鉴定和测定构成葡萄酒成分和消费特性的有机化合物的文献和法规文 件。报告指出,现代色谱法的能力、信息含量和多功能性与数学软件相结合,大大提高了鉴定和测定葡萄酒中多种成分数据的自动化程度和可靠性。本文讨论了在成分组成中测定造成葡萄酒质量和地区特征的高浓度和低浓度有机化合物的条件。各种气相色谱法和气相色谱-质谱法能可靠地测定相对挥发性的成分,被广泛应用于解决葡萄酒产品优劣成分的鉴定和测定问题。葡萄酒中的不挥发性成分是通过采用各种检测方法的高效液相色谱法和高效毛细管电泳法测定的。结合现代分析方法和统计分析方法(多元回归分析、一般线性模型、多维标度、协方差和典型分析、分类和机器学习方法以及神经网络)的能力,分析了根据成分组成确定葡萄酒概况和区域特征的主要方法。并举例说明了这些方法在实际中的应用。
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Chromatographic Methods in the Identification and Determination of the Component Composition and Quality of Wines

A review of the literature and regulatory documents on the identification and determination of organic compounds that form the component composition and consumer properties of wines is presented. It is noted that the capabilities, information content, and versatility of modern chromatographic methods in combination with mathematical software have significantly increased the degree of automation and reliability of obtaining data on the identification and determination of a wide range of components in wine. Conditions for the determination of high and low concentrations of organic compounds responsible for the qualitative and regional characteristics of wines in the component composition are discussed. Various gas chromatography and gas chromatography–mass spectrometry methods providing the reliable determination of relatively volatile components are most widely used to solve the problems of identification and determination of components responsible for the advantages and disadvantages of wine products. Nonvolatile components of wines are determined by high-performance liquid chromatography with various detection methods and by high-performance capillary electrophoresis. The main approaches to establishing the profile and regional identity of wines in terms of component composition, which combine the capabilities of modern analytical methods with statistical analysis methods (multiple regression analysis, general linear models, multidimensional scaling, covariance and canonical analysis, classification and machine learning methods, and neural networks) are analyzed. Examples of their use in actual practice are demonstrated.

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来源期刊
Journal of Analytical Chemistry
Journal of Analytical Chemistry 化学-分析化学
CiteScore
2.10
自引率
9.10%
发文量
146
审稿时长
13 months
期刊介绍: The Journal of Analytical Chemistry is an international peer reviewed journal that covers theoretical and applied aspects of analytical chemistry; it informs the reader about new achievements in analytical methods, instruments and reagents. Ample space is devoted to problems arising in the analysis of vital media such as water and air. Consideration is given to the detection and determination of metal ions, anions, and various organic substances. The journal welcomes manuscripts from all countries in the English or Russian language.
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