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作者中文名	作者英文名	单位中文名	单位英文名	E-Mail
乔亚玲	QIAO Ya-ling	青海民族大学药学院，青海西宁 810007 青海省药品检验检测院，青海西宁 810016 天津大学理学院，天津 300072	College of Pharmacy, Qinghai Minzu University, Xining 810007, China Qinghai Provincial Drug Inspection and Testing Institute, Xining 810016, China College of Science, Tianjin University, Tianjin 300072, China
宋霞	SONG Xia	青海省药品检验检测院，青海西宁 810016 国家药品监督管理局中药（藏药）质量控制重点实验室，青海西宁 810016	Qinghai Provincial Drug Inspection and Testing Institute, Xining 810016, China National Medical Products Administration Key Lab of Chinese and Tibetan Medicine Quality Control, Xining 810016, China
刘亚蓉*	LIU Ya-rong	青海省药品检验检测院，青海西宁 810016 青海省中藏药现代化研究重点实验室，青海西宁 810016	Qinghai Provincial Drug Inspection and Testing Institute, Xining 810016, China Qinghai Key Lab of Chinese and Tibetan Medicine Modernization Study, Xining 810016, China
韩生兰	HAN Sheng-lan	青海省药品检验检测院，青海西宁 810016 国家药品监督管理局中药（藏药）质量控制重点实验室，青海西宁 810016	Qinghai Provincial Drug Inspection and Testing Institute, Xining 810016, China National Medical Products Administration Key Lab of Chinese and Tibetan Medicine Quality Control, Xining 810016, China
李永鹏	LI Yong-peng	青海省药品检验检测院，青海西宁 810016 青海省中藏药现代化研究重点实验室，青海西宁 810016	Qinghai Provincial Drug Inspection and Testing Institute, Xining 810016, China Qinghai Key Lab of Chinese and Tibetan Medicine Modernization Study, Xining 810016, China
林鹏程*	LIN Peng-cheng	青海民族大学药学院，青海西宁 810007 青海省青藏高原植物化学重点实验室，青海西宁 810007	College of Pharmacy, Qinghai Minzu University, Xining 810007, China Key Laboratory of Phytochemistry in the Qinghai-Xizang Plateau, Xining 810007, China

基金项目:青海省科技计划项目（2020-SF-C32）；2021年度青海省“昆仑英才·高端创新创业人才”计划项目

中文摘要:目的建立基于超高效液相色谱法（UPLC）指纹图谱与抗氧化谱效关系的枸杞子质量标志物研究方法，为其质量评价提供依据。方法采用UPLC建立31批枸杞子指纹图谱，基于指纹图谱共有峰峰面积结果，采用聚类分析、主成分分析（PCA）、正交偏最小二乘法-判别分析（OPLS-DA）方法评价枸杞子整体质量并筛选出主要质量标志物。以多功能氧化酶（MFO）、1,1-二苯基-2-三硝基苯肼（DPPH）、总抗氧化能力（T-AOC）的测定值评价枸杞子的抗氧化能力，利用双变量相关性分析法与正交偏最小二乘法-回归分析研究指纹图谱共有峰与抗氧化活性指标的谱效关系，综合分析筛选质量标志物。结果枸杞子UPLC指纹图谱共确定34个共有峰，31批枸杞子聚为3类，可区分不同产地的枸杞子；PCA得到4个影响枸杞子分类的主要因子；OPLS-DA显示共有峰2、7、17、19、33的化合物可作为鉴别和区分枸杞子的主要质量标志物；双变量相关性分析表明峰8、11、15、20、23、34的化合物与MFO、DPPH、T-AOC的测定值呈极显著相关，正交偏最小二乘法-回归分析表明峰11、15、23、25、31、33、34的化合物是主要的活性成分群，此类成分可作为枸杞子抗氧化活性的质量标志物。结论研究结果阐明了枸杞子抗氧化活性的物质基础，筛选出的质量标志物可为枸杞子的质量控制与评价提供依据。

中文关键词:枸杞子指纹图谱质量标志物超高效液相色谱法化学模式识别主成分分析

Quality Markers of Lycii Fructus Based on UPLC Fingerprint and Antioxidant Spectrum-effect Relationship

Abstract:Objective To establish a method for the quality markers of Lycii Fructus based on ultra-high-performance liquid chromatography (UPLC) fingerprint and antioxidant spectrum-effect relationship, providing a basis for its quality evaluation.Methods UPLC was used to establish fingerprint profiles for 31 batches of Lycii Fructus. Based on the common peak area results of the fingerprint profiles, cluster analysis, principal component analysis, and orthogonal partial least squares-discriminant analysis were used to evaluate the overall quality of Lycii Fructus and screen major quality markers. The antioxidant activity of Lycii Fructus was assessed by determining the values of multifunctional oxidases (MFO), 1,1-diphenyl-2-picrylhydrazyl (DPPH), and total antioxidant capacity (T-AOC). The spectral-effect relationship between the common peaks in the fingerprint profiles and antioxidant activity indicators was studied using bivariate correlation analysis and orthogonal partial least squares-regression analysis to comprehensively select quality markers.Results UPLC fingerprint profiles of Lycii Fructus identified 34 common peaks, and the 31 batches of Lycii Fructus were clustered into three categories, allowing for differentiation based on their origin. Principal component analysis revealed four primary factors influencing the classification of Lycii Fructus. Orthogonal partial least squares-discriminant analysis indicated that compounds in common peaks 2, 7, 17, 19, and 33 could serve as primary quality markers for identifying and distinguishing Lycii Fructus. Bivariate correlation analysis showed that compounds in peaks 8, 11, 15, 20, 23, and 34 were highly correlated with the values of MFO, DPPH, and T-AOC. Orthogonal partial least squares-regression analysis indicated that compounds in peaks 11, 15, 23, 25, 31, 33, and 34 constituted the major group of active components, which could serve as quality markers for the antioxidant activity of Lycii Fructus.Conclusion The study elucidated the chemical basis of the antioxidant activity of Lycii Fructus and identified quality markers that can be used for quality control and assessment of Lycii Fructus.

keywords:Lycii Fructus fingerprint quality marker ultra-high-performance liquid chromatography chemical pattern recognition principal component analysis

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