基于UPLC指纹图谱与抗氧化谱效关系的 枸杞质量标志物研究
投稿时间:2023-04-26  修订日期:2023-08-30   点此下载全文
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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 青海省药品检验检测院 Qinghai Provincial Drug Inspection and Testing Institute 649483729@qq.com 
刘亚蓉 liu ya 蓉 青海省药品检验检测院 Qinghai Provincial Drug Inspection and Testing Institute 457419861@qq.com 
韩生兰 han sheng lan 青海省药品检验检测院 Qinghai Provincial Drug Inspection and Testing Institute 592506358@qq.com 
李永鹏 li yong peng 青海省药品检验检测院 Qinghai Provincial Drug Inspection and Testing Institute 358404150@qq.com 
宋霞 song xia 青海省药品检验检测院 Qinghai Provincial Drug Inspection and Testing Institute 741509778@qq.com 
林鹏程* lin peng cheng 青海民族大学 Qinghai Nationalities University qhlpc@126.com 
中文摘要:[摘要] 目的:建立基于UPLC指纹图谱与抗氧化谱效关系的枸杞质量标志物研究方法,为其质量评价提供依据。方法:采用超高效液相色谱法建立31批枸杞指纹图谱,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、正交偏最小二乘判别分析的方法评价枸杞整体质量并筛选出主要质量标志物。以MFO、DPPH、T-AOC的测定值评价枸杞的抗氧化能力,利用双变量相关性分析法与偏最小二乘回归法分析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UPLC指纹图谱共确定34个共有峰,31批枸杞聚为3类,可区分不同产地的枸杞;主成分分析得到4个影响枸杞分类的主要因子;正交偏最小二乘判别分析显示共有峰2、7、17、19、33的化合物可作为鉴别和区分枸杞的主要质量标志物;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的测定值极显著相关,偏最小二乘回归分析表明峰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抗氧化活性的质量标志物。结论:研究结果阐明了枸杞抗氧化活性的物质基础,筛选出的质量标志物可为枸杞的质量控制与评价提供依据。
中文关键词:枸杞  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  正交偏最小二乘判别分析  谱效关系
 
Study on quality markers of goji berry based on UPLC fingerprint and antioxidant spectrum effect relationship
Abstract:[Abstract] Objective:To establish a research method of quality marker (Q-Marker) of goji berry based on UPLC fingerprint and antioxidant spectrum effect, and provide basis for its quality evaluation.Methods:UPLC was used to establish the fingerprints of 31batches of goji berry.Based on the results of the common peak areas of the fingerprint, the quality evaluation and screening the main quality markers of goji berry was using clustering analysis, principal component analysis, orthogonal partial least squares discriminant analysis.The antioxidant capacity of goji berry was evaluated by the determination of MFO, DPPH and T-AOC. Bivariate correlation analysis and partial least squares regression were used to analyze the spectral - effect relationship between common peaks and antioxidant activity indexes.Comprehensive analysis and screening of quality markers.Results:The fingerprints identified 34 common peaks. 31 batches of goji berry were divided into 3 categories, which could distinguish different origin of goji berry.Principal component analysis showed four main factors affecting the classification of goji berry. Orthogonal partial least squares discriminant analysis showed that the compound with common peaks 2, 7, 17, 19 and 33 could be used as the main quality markers for the identification and differentiation of goji berry.Bivariate correlation analysis showed that compounds with common peaks 8, 11, 15, 20, 23 and 34 were significantly correlated with the values of MFO, DPPH and T-AOC. Partial least squares regression analysis showed that compounds with common peaks 11, 15, 23, 25, 31, 33 and 34 were the main active ingredient groups,these compounds can be used as quality markers of antioxidant activity of goji berry.Conclusion:This study can clarify the material basis of antioxidant effect of goji berry ,the quality markers could provide a theoretical basis for quality control and evaluation of goji berry.
keywords:goji berry  fingerprint  quality marker  Ultra high performance liquid chromatography  chemical pattern recognition  principal component analysis  orthogonal partial least squares discriminant analysis  spectral effect relationship
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