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不同年份老香黄定量分析及其化学模式识别研究
引用本文:郭舒臣,郑玉忠,郭瑞,曾鑫海,梁惠芬,陈奕东,杨应楷,董婷霞,王怀友,詹华强.不同年份老香黄定量分析及其化学模式识别研究[J].分析测试学报,2021,40(1):10-18.
作者姓名:郭舒臣  郑玉忠  郭瑞  曾鑫海  梁惠芬  陈奕东  杨应楷  董婷霞  王怀友  詹华强
作者单位:深圳市可食用及药用资源研究重点实验室香港科技大学深圳研究院,广东深圳518057;香港科技大学生命科学部暨中药研发中心,香港999077;中国药科大学中药学院,江苏南京211198;韩山师范学院食品工程与生物科技学院,广东潮州521041;深圳市可食用及药用资源研究重点实验室香港科技大学深圳研究院,广东深圳518057;广东济公保健食品有限公司,广东潮安515638;深圳市可食用及药用资源研究重点实验室香港科技大学深圳研究院,广东深圳518057;香港科技大学生命科学部暨中药研发中心,香港999077
基金项目:佛山科大专项(FSUST19-SRI10);基于人工智能的中医药现代化研究平台(GICI-022);深圳市科技计划项目(CKFW2016082916015476,ZDSYS201707281432317);2019年潮州市科技专项资金(安工科【2019】121号)
摘    要:建立了一种联合化学标志物定量分析和化学模式识别技术快速判别不同年份老香黄的方法,并筛选其差异性化学标志物。采用超高效液相色谱-串联质谱(UPLC-MS/MS)建立了对21种与老香黄相关的化学标志物及其内标物山柰酚-3-O-芸香糖苷的检测方法,该方法的线性关系良好,灵敏度高,专属性强,可用于对不同年份老香黄的区别分析。根据检出的不同年份老香黄的15个化学标志物含量,结合主成分分析(PCA)、聚类分析(HCA)、正交偏最小二乘法判别分析(OPLS-DA)法进行分析,可快速判别不同年份的老香黄,并筛选出6个差异性化学标志物。结果表明,贡献最大的差异化学标志物为5,7-二甲氧基香豆素,其中0年含量为(47.465±1.987)μg/g,3年含量为(17.069±0.542)μg/g,5年含量为(11.073±1.862)μg/g,8年含量为(41.905±2.240)μg/g,10年含量为(21.079±2.270)μg/g,15年含量为(43.267±2.432)μg/g,20年含量为(51.711±1.439)μg/g,该标志物的含量在一定程度上体现了不同年份的老香黄,可用于区分老香黄的贮藏年份。为了验证方法的可靠性,进行盲样适用性能力测试,测定结果所得年份和厂家提供的保持一致。该研究给市面上老香黄的质量控制及其品质鉴定提供了快速可靠的方法。

关 键 词:老香黄  超高效液相色谱-串联质谱(UPLC-MS/MS)  模式识别  化学标志物  质量控制

Quantitative Analysis and Chemical Pattern Recognition of Lao-Xiang-Huang Preserved in Different Years
GUO Shu-chen,ZHENG Yu-zhong,GUO Rui,ZENG Xin-hai,LIANG Hui-fen,CHEN Yi-dong,YANG Ying-kai,DONG Ting-xi,WANG Huai-you,TSIM Wah-keung Karl.Quantitative Analysis and Chemical Pattern Recognition of Lao-Xiang-Huang Preserved in Different Years[J].Journal of Instrumental Analysis,2021,40(1):10-18.
Authors:GUO Shu-chen  ZHENG Yu-zhong  GUO Rui  ZENG Xin-hai  LIANG Hui-fen  CHEN Yi-dong  YANG Ying-kai  DONG Ting-xi  WANG Huai-you  TSIM Wah-keung Karl
Institution:1.Shenzhen Key Laboratory of Edible and Medicinal Bioresources,HKUST Shenzhen Research Institute2.Division of Life Science and Center for Chinese Medicine,The Hong Kong University of Science and Technology;3.School of Traditional Chinese Pharmacy,China Pharmaceutical University;4.School of Food Engineering and Biotechnology,Hanshan Normal University;5.Guangdong JIGONG Healthy Food Co.,Ltd.
Abstract:A quantitative analysis method of chemical markers coupled with pattern recognition algorithms was established for the rapid discrimination of Lao-Xiang-Huang preserved in different years.A ultra performance liquid chromatography-tandem mass spectrometry(UPLC-MS/MS)method was developed for the analysis of 21 chemical markers related to Lao-Xiang-Huang and the internal standard kaempferol-3-O-rutinoside.The developed method was applied to the distinguishing of different preserving years of Lao-Xiang-Huang with good linearity,high sensitivity and strong specificity.According to the amounts of 15 detected chemical markers and combining analysis of principal component analysis(PCA),hierarchical cluster analysis(HCA)and orthogonal partial least squares discriminant analysis(OPLS-DA),six differential chemical markers were identified significantly in contributing to the discrimination.Results showed that the chemical marker 5,7-dimethoxycoumarin was the uppermost contributor in distinguishing the preserving year of Lao-Xiang-Huang,which amounts were(47.465±1.987)μg/g in the 0th year,(17.069±0.542)μg/g in the 3rd year,(11.073±1.862)μg/g in the 5th year,(41.905±2.240)μg/g in the 8th year,(21.079±2.270)μg/g in the 10th year,(43.267±2.432)μg/g in the 15th year and(51.711±1.439)μg/g in the 20th year.The amount of 5,7-dimethoxycoumarin could reflect the preserving year of Lao-Xiang-Huang in a certain extent.To verify the reliability of the developed method,the proficiency test was carried out,and the calibrated year was in line with that provided by the manufacturer.This study provides a rapid and reliable method for the quality identification and control of Lao-Xiang-Huang in the market.
Keywords:Lao-Xiang-Huang  ultra performance liquid chromatography-tandem mass spectrometry(UPLC-MS/MS)  pattern recognition  chemical marker  quality control
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