首页|基于化学指纹图谱的地骨皮药材来源及部位鉴别研究

基于化学指纹图谱的地骨皮药材来源及部位鉴别研究

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目的 基于DNA条形码及UPLC指纹图谱技术,鉴别并表征不同来源地骨皮药材。方法 通过DNA条形码技术,以ITS2序列进行鉴定。通过UPLC法建立地骨皮药材的指纹图谱,并结合聚类分析、主成分分析和判别分析进行不同来源的区分。结果 17批药材中鉴定为地骨皮枸杞基原10批、宁夏枸杞基原4批,黑果枸杞3批。指纹图谱得到10个共有峰,通过主成分分析和判别分析得到,S1~S10为一类,S11~S14为一类,S15~S17为一类,基本实现不同来源样品的区分。同时得到不同来源地骨皮区分的主要差异化合物,分别为峰1'、峰8、峰2、峰4、峰1、峰3。并以峰3能区分不同部位。结论 不同基原及伪品的差异成分在酚酰胺类、生物碱及枸杞素类等,本研究通过对地骨皮药材的DNA条形码和化学识别模式的综合评价,为不同来源地骨皮药材的质量评价奠定了基础。
Identification of Lycii Cortex of the Sources and Parts Based on UPLC Fingerprint
OBJECTIVE The identification and fingerprint are established to characterize the quality difference of Lycii Cortex from different sources,based on DNA barcoding and UPLC fingerprint technology.METHODS The identification was performed by ITS2 sequence based on DNA barcoding technology and the UPLC fingerprint was established to distinguish the differences of materials by combining cluster analysis,principal component analysis and discriminant analysis.RESULTS 17 batches of the materials were identified as 10 batches of Lycium chinense Mill.,4 batches of Lycium barbarum L.,and 3 batches of Lycium ruthenicum Murray.Ten common peaks were obtained from the fingerprint.Through principal component analysis and discriminant analysis,S1-S10,S11-S14 and S15-S17 were respectively classified as one class,which basically realized the distinction of different original samples.At the same time,the main differential compounds identified by different sources were obtained,which were peak 1',peak 8,peak 2,peak4,peak 1 and peak 3.And The different parts could be distinguished by peak 3.CONCLUSION The difference components of different original samplesare phenolic amides,alkaloids and Lyciuminetc.This study laid a foundation for the quality evaluation of Lycii Cortex from different sources by comprehensive evaluation of DNA barcoding and chemical identification models.

Lycii Cortexdifferent partsDNA barcodingUPLC fingerprintchemical identification model

兰小勇、罗宇琴、谭斯尹、李国卫、徐文辉、潘礼业、陈向东、孙冬梅

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广东一方制药有限公司/广东省中药配方颗粒企业重点实验室,广东佛山 528244

地骨皮 不同部位 DNA条形码 UPLC指纹图谱 化学识别模式

产业技术基础公共服务平台项目(2022)佛山市南海区重点领域科技攻关专项

2022-230-221

2024

今日药学
广东省药学会 中国药学会

今日药学

影响因子:0.413
ISSN:1674-229X
年,卷(期):2024.34(4)
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