高效液相色谱指纹图谱与数学处理进行食品鉴别。
Food identification by high performance liquid chromatography fingerprinting and mathematical processing.
机构信息
Department of Chemistry, University of Zanjan, Zanjan, Iran.
Nutrition and Bromatology Group, Department of Analytical and Food Chemistry, Faculty of Food Science and Technology, University of Vigo - Ourense Campus, Ourense, Spain.
出版信息
Food Res Int. 2019 Aug;122:303-317. doi: 10.1016/j.foodres.2019.04.025. Epub 2019 Apr 11.
Food fingerprinting methods comprise a wide range of analytical strategies for obtaining analytical signals such as spectra or chromatograms that can be related to the composition of foodstuffs. Mathematical processing of fingerprints in such signals allows some foodstuffs to be characterized and/or authenticated. This paper deals at length with food identification by High Performance Liquid Chromatography in combination with mathematical processing. Also, it discusses existing approaches to the integrated acquisition of chromatographic signals and chemometric processing of chromatographic data, and illustrates the uses of fingerprinting methods for different types of foodstuffs.
食品指纹识别方法包括一系列广泛的分析策略，用于获取可以与食品成分相关的分析信号，如光谱或色谱图。对这些信号中的指纹进行数学处理可以对某些食品进行特征描述和/或鉴定。本文详细讨论了高效液相色谱法结合数学处理进行食品鉴定的方法。此外，还讨论了现有的集成获取色谱信号和化学计量学处理色谱数据的方法，并举例说明了指纹识别方法在不同类型食品中的应用。
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