[Quality evaluation of Lysimachiae Herba from different habitats based on simultaneous determination of multiple bioactive constituents combined with multivariate statistical analysis].

Lysimachiae Herba UHPLC-QTRAP-MS/MS different habitats multiple bioactive constituents multivariate statistical analysis

Journal

Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica
ISSN: 1001-5302
Titre abrégé: Zhongguo Zhong Yao Za Zhi
Pays: China
ID NLM: 8913656

Informations de publication

Date de publication:
Sep 2023
Historique:
medline: 1 11 2023
pubmed: 7 10 2023
entrez: 6 10 2023
Statut: ppublish

Résumé

A method based on ultra-high performance liquid chromatography coupled with triple quadrupole linear ion trap-tandem mass spectrometry(UHPLC-QTRAP-MS/MS) was developed for the simultaneous determination of 41 bioactive constituents of flavonoids, organic acids, nucleosides, and amino acids in Lysimachiae Herba. The content of multiple bioactive constituents was compared among the samples from different habitats. The chromatographic separation was performed in a Waters XBridge®C_(18) column(4.6 mm×100 mm, 3.5 μm) at 30 ℃. The gradient elution was performed with 0.4% methanol(A)-formic acid water(B) as the mobile phase at a flow rate of 0.8 mL·min~(-1), and the multiple-reaction monitoring(MRM) mode was adopted. According to the content of 41 constituents, hierarchical cluster analysis(HCA), orthogonal partial least squares discriminant analysis(OPLS-DA), and gray relational analysis(GRA) were perfomed to comprehensively evaluate the samples from different habitats. The results showed that the 41 constituents exhibited good linear relationship within the tested concentration ranges, with the correlation coefficients(r) greater than 0.999 4. The method featured good precision, repeatability, and stability with the relative standard deviations(RSDs) less than 5.0%. The average recoveries of the 41 constituents ranged from 98.06% to 101.9%, with the RSDs of 0.62%-4.6%. HCA and OPLS-DA separated 48 batches of Lysimachiae Herba samples from different habitats into three categories: the producing areas in Sichuan and Chongqing, the producing areas in Jiangsu, Zhejiang, and Jiangxi, and the producing areas in Guizhou. The content of 41 constituents varied among the Lysimachiae Herba samples from different habitats. The GRA results revealed that the Lysimachiae Herba sample from Nanchong City, Sichuan Province had the best comprehensive quality. The method developed in this study was accurate and reliable and thus can be used for comprehensive evaluation of Lysimachiae Herba quality and provide basic information for the selection of habitats.

Identifiants

pubmed: 37802805
doi: 10.19540/j.cnki.cjcmm.20230519.101
doi:

Substances chimiques

Drugs, Chinese Herbal 0
Amino Acids 0

Types de publication

English Abstract Journal Article

Langues

chi

Sous-ensembles de citation

IM

Pagination

4663-4674

Auteurs

Yong-Yi Zhou (YY)

School of Pharmacy, Nanjing University of Chinese Medicine Nanjing 210023, China.

Hai-Jie Chen (HJ)

School of Pharmacy, Nanjing University of Chinese Medicine Nanjing 210023, China.

Jia Xue (J)

School of Pharmacy, Nanjing University of Chinese Medicine Nanjing 210023, China.

Nan Wu (N)

School of Pharmacy, Nanjing University of Chinese Medicine Nanjing 210023, China.

Jia-Huan Yuan (JH)

School of Pharmacy, Nanjing University of Chinese Medicine Nanjing 210023, China.

Xun-Hong Liu (XH)

School of Pharmacy, Nanjing University of Chinese Medicine Nanjing 210023, China Jiangsu Province Engineering Research Center of Classical Prescription Nanjing 210023, China.

Li-Si Zou (LS)

School of Pharmacy, Nanjing University of Chinese Medicine Nanjing 210023, China.

Cui-Hua Chen (CH)

School of Pharmacy, Nanjing University of Chinese Medicine Nanjing 210023, China.

Zhi-Chen Cai (ZC)

School of Pharmacy, Nanjing University of Chinese Medicine Nanjing 210023, China.

Wei Yang (W)

School of Pharmacy, Nanjing University of Chinese Medicine Nanjing 210023, China.

Jian-Ming Cheng (JM)

School of Pharmacy, Nanjing University of Chinese Medicine Nanjing 210023, China Jiangsu Province Engineering Research Center of Classical Prescription Nanjing 210023, China.

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Classifications MeSH