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采用超高效液相色谱分析和化学模式识别对金银花进行种属、生长方式、加工方法和产地的鉴别。

Discrimination of Lonicerae Japonicae Flos according to species, growth mode, processing method, and geographical origin with ultra-high performance liquid chromatography analysis and chemical pattern recognition.

机构信息

NMPA Key Laboratory for Quality Research and Evaluation of Traditional Chinese Medicine, Shenzhen Institute for Drug Control, Shenzhen, Guangdong 518057, China; Shenzhen Key Laboratory of Drug Quality Standard Research, Shenzhen Institute for Drug Control, Shenzhen, Guangdong 518057, China; School of Pharmacy, Shenyang Pharmaceutical University, Shenyang, Liaoning 110016, China.

School of Pharmacy, Shenyang Pharmaceutical University, Shenyang, Liaoning 110016, China.

出版信息

J Pharm Biomed Anal. 2022 Sep 20;219:114924. doi: 10.1016/j.jpba.2022.114924. Epub 2022 Jul 5.

DOI:10.1016/j.jpba.2022.114924
PMID:35816773
Abstract

Lonicerae japonicae flos (LJF, Lonicera japonica Thunb.) is often confused and/or adulterated with Lonicerae flos (LF, Lonicera macrantha (D.Don) Spreng.). Ecological conditions and processing methods strongly influenced the safety and efficacy of LJF. For the strict quality control of LJF, a rapid and feasible strategy for identification and classification of LJF by species, growth mode, processing method and geographical origin, based on chromatographic profiles and pattern recognition analysis, in 119 batches of Lonicera samples was systematically established. Firstly, comprehensive analysis of the chemical compositions of LJF was achieved using ultra-high performance liquid chromatography (UHPLC). Next, unsupervised principal component analysis showed that the influence of species, growth mode, processing method and geographical origin displayed a decreasing trend. Subsequently, classification models for authentication of LJF samples were established by linear discriminant analysis (LDA) with good classification abilities. Finally, sweroside and secoxyloganin could be considered as markers associated of cultivated and wild LJF, respectively, while 3-O-caffeoylquinic acid and 3,5-Di-O-caffeoylquinic acid could be regarded as markers for LF. Consequently, the findings suggest that UHPLC profiles combined with pattern recognition analysis is precise and feasible strategy for the discrimination and quality control of LJF.

摘要

金银花(Lonicerae japonicae flos,LJF)常与山银花(Lonicerae flos,Lonicera macrantha (D.Don) Spreng.)混淆和/或掺伪。生态条件和加工方法强烈影响 LJF 的安全性和功效。为了严格控制 LJF 的质量,基于色谱图谱和模式识别分析,系统地建立了一种快速可行的策略,用于鉴定和分类 LJF 的物种、生长方式、加工方法和地理来源,涉及 119 批金银花样品。首先,使用超高效液相色谱法(UHPLC)对 LJF 的化学成分进行全面分析。接下来,无监督主成分分析表明,物种、生长方式、加工方法和地理来源的影响呈下降趋势。随后,通过线性判别分析(LDA)建立了用于鉴定 LJF 样品的分类模型,具有良好的分类能力。最后,山银苷和木樨草苷可分别作为栽培和野生金银花的相关标记物,而 3-O-咖啡酰奎宁酸和 3,5-二-O-咖啡酰奎宁酸可作为山银花的标记物。因此,研究结果表明,UHPLC 图谱结合模式识别分析是鉴别和控制 LJF 质量的精确而可行的策略。

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