分析测试学报2025，Vol.44Issue(7)：1290-1298,9.DOI:10.12452/j.fxcsxb.24122022
UPLC指纹图谱结合化学计量学的平调颗粒质量评价研究
Study on the Quality Evaluation of Pingtiao Granules by UPLC Fingerprint Combined with Chemometrics
摘要
Abstract
The study integrated the fingerprinting technique,multi-indicator determination of the content of each component,at the same time,chemical pattern recognition analysis to systematically explore the characteristics of different batches of Pingtiao granules and to provide a scientific basis for their quality assessment.The analytes were separated on an ACQUITY UPLC BEH Shield RP C18 col-umn(150 mm×2.1 mm,1.7 μm)by gradient elution,with 0.1%aqueous phosphoric acid-acetoni-trile as the mobile phase.A total of seven characteristic components were identified,and the con-tents of six active components,including gastrodin,paeoniflorin,Parishin A,Parishin E,pin-oresinol diglucoside and quercetin were determined.Additionally,the 17 batches of Pingtiao gran-ules were classified by cluster analysis(HCA)and principal component analysis(PCA),and then subjected to orthogonal least partial squares-discriminant analysis(OPLS-DA),in order to screen out the different components among the batches of the samples.The UPLC fingerprints of Pingtiao granules and the determination of the contents of 6 index components were established.15 common peaks were identified and 7 components were designated,and the similarity of the 17 batches was greater than 0.9.The results of HCA and PCA showed that the components of the 17 batches were clustered into 3 categories,and the OPLS-DA analysis screened out 3 markers that caused the differ-ences between batches.The determination of multi-component content showed that the differences in chemical content between batches were small.The established UPLC fingerprints and the method for determining the content of the six index components ensure their accuracy and reliability.When com-bined with the chemical pattern recognition technique,this method can be effectively applied to the quality monitoring and evaluation of Pingtiao granules.关键词
平调颗粒/UPLC/指纹图谱/含量测定/化学计量学/质量评价Key words
Pingtiao granules/UPLC/fingerprint/content determination/chemometrics/quali-ty evaluation分类
化学化工引用本文复制引用
邬旻珊,谢灿辉,肖观林,靳利利,毕晓黎,谢宇君,王远平,胥爱丽..UPLC指纹图谱结合化学计量学的平调颗粒质量评价研究[J].分析测试学报,2025,44(7):1290-1298,9.基金项目
中医特色重点医院建设工程(粤财社[2023]139号) （粤财社[2023]139号）
