化学
线性判别分析
指纹(计算)
色度
主成分分析
相关系数
食品科学
模式识别(心理学)
人工智能
色谱法
生物系统
数学
统计
计算机科学
生物
作者
Qian Zhang,Rong Xue,Lianlin Su,Xi Mei,Jinguo Xu,Chunqin Mao,Tulin Lu
标识
DOI:10.1016/j.jpba.2024.115968
摘要
The dried young fruit of Citrus reticulata Blanco, known as Qingpi, is commonly used in clinic both with its raw and vinegar-processed products. However, the distinctions in quality between these two products remain unclear, and the methods for identification are considerably intricate. In this study, an electronic eye technique was applied to assess the overall color of Qingpi products before and after processing. The luminosity (L⁎) and yellow-blue (b⁎) values of Qingpi decreased after vinegar processing, while red-green (a⁎) values increased. The discriminant function models based on color parameters were established to effectively classify the two products. The chemical compositions of different Qingpi products were characterized using ultra-high performance liquid chromatography fingerprint technology, and 10 distinct components were considered as potential chemical markers. The correlation analysis revealed a significant relationship between chromatic values and chemical components. In conclusion, the results of this study suggested that chromaticity can be effectively considered as a valuable instrument for the prediction of component content in both raw and vinegar-processed Qingpi products. This study will provide new ideas and methods for identification and quality evaluation of Qingpi processed products, as well as provide a reference for standardizing traditional Chinese medicine processing techniques.
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