分析测试学报2023，Vol.42Issue(12)：1588-1597,10.DOI:10.19969/j.fxcsxb.23080304
多波长自动融合指纹图谱策略及其在蜂胶质量评价中的应用
The Strategy of Multi-wavelength Automatic Fusion Fingerprint and Its Application in Propolis Quality Evaluation
摘要
Abstract
A multi-wavelength automatic fusion fingerprint strategy was proposed to simplify the data processing process and applied to the quality evaluation of propolis ethanol extracts.15 batches of propolis ethanol extracts from 5 manufacturers were tested at multiple wavelengths of 220,245,270,320 nm through UPLC technology.The sample was separated on an Agilent Poroshell 120 EC-C18(3 mm×100 mm,2.7 μm)column by gradient elution,with methanol and 0.2%phosphoric acid aqueous solution as mobile phases.The multi-wavelength fusion fingerprint for each batch was gener-ated by using the"Similarity Evaluation System for Traditional Chinese Medicine Chromatographic Fingerprint"to achieve automatic fusion of various chromatographic peaks under multiple wave-lengths.The differences between multi-wavelength fusion and 270 nm single wavelength were com-pared in common chromatographic peaks,similarity evaluation,cluster analysis,and principal component analysis.The multi-wavelength fusion fingerprint of propolis contained 33 characteristic peaks,in which 14 characteristic peaks have been identified to be caffeic acid,ρ-coumaric acid,fe-rulic acid,isoferulic acid,3,4-dimethoxy group cinnamic acid,quercetin,kaempferin,apigen-in,isorhamnetin,chocine,chrysin,galangin,caffeic acid,phenethyl ester.The retention time RSDs of characteristic peaks in each batch were less than 1.00%and the peak area RSDs were ranged from 14.39%to 112.02%,with an average value of 37.94%.The similarity of 15 batches of propolis fusion fingerprints ranged from 0.902 to 0.994.The samples could be divided into four categories through the principal component analysis and the clustering analysis.The 270 nm single wavelength fingerprint of propolis contained 32 characteristic peaks,of which 12 have been identified.The simi-larity of 270 nm single wavelength fingerprint of 15 batches of propolis ranged from 0.928 to 0.997.The samples were divided into three categories by the principal component analysis and cluster analy-sis.Compared to the single wavelength of 270 nm,the multi-wavelength fusion similarity evaluation was more sensitive,and its principal component analysis and cluster analysis were more accurate.The strategy of multi-wavelength automatic fusion fingerprint could process multi-wavelength data quickly and automatically,enrich the chromatographic information of different components at differ-ent wavelengths,and improve the accuracy of differential evaluation of propolis fingerprint.关键词
多波长/自动融合/指纹图谱/蜂胶/质量评价/化学模式识别Key words
multi-wavelength/automatic fusion/fingerprint/propolis/quality evaluation/chemical pattern recognition分类
化学化工引用本文复制引用
姜慧洁,章越,慎凯峰,姜艳,周丹英,赵洪静..多波长自动融合指纹图谱策略及其在蜂胶质量评价中的应用[J].分析测试学报,2023,42(12):1588-1597,10.基金项目
浙江省属科研院所扶持专项(2022F03355) （2022F03355）
