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基于颜色和成分相关性的青皮生品和醋制品的质量差异分析。

Quality difference analysis of raw and vinegar-processed products of Qingpi based on color and component correlation.

机构信息

College of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China.

College of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China.

出版信息

J Pharm Biomed Anal. 2024 Apr 15;241:115968. doi: 10.1016/j.jpba.2024.115968. Epub 2024 Jan 9.

DOI:10.1016/j.jpba.2024.115968
PMID:38280238
Abstract

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.

摘要

陈皮是芸香科植物橘及其栽培变种的干燥幼果,生用或醋炙用。然而,这两种炮制品的质量区别尚不清楚,其鉴别方法也相当复杂。本研究采用电子眼技术评估陈皮炮制前后的整体颜色。陈皮经醋制后,其明度(L*)和黄-蓝值(b*)降低,而红-绿值(a*)增加。基于颜色参数的判别函数模型可有效区分这两种产品。采用超高效液相色谱指纹图谱技术对不同陈皮产品的化学成分进行了表征,确定了 10 个特征成分作为潜在的化学标志物。相关性分析表明,色差值与化学成分之间存在显著相关性。综上所述,本研究结果表明,色度可作为一种有效的工具,用于预测生品和醋制品中陈皮的成分含量。本研究将为陈皮炮制品的鉴别和质量评价提供新的思路和方法,为规范中药炮制技术提供参考。

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