Quality Evaluation of Naomaili Granules Based on Multi-component Content Determination and Fingerprint and Screening of Its Anti-neuroinflammatory Substance Basis
10.13422/j.cnki.syfjx.20251669
- VernacularTitle:基于多组分含量测定和指纹图谱的脑脉利颗粒质量评价及其抗神经炎症物质基础筛选
- Author:
Ya WANG
1
;
Yanan KANG
1
;
Bo LIU
2
;
Zimo WANG
2
;
Xuan ZHANG
2
;
Wei LAN
1
;
Wen ZHANG
3
;
Lu YANG
3
;
Yi SUN
2
Author Information
1. School of Life Science and Engineering,Lanhzou University of Technology,Lanzhou 730050,China
2. Institute of Chinese Materia Medica,China Academy of Chinese Medical Sciences,Beijing 100700,China
3. Nanjing Carephar Shenghui Pharmaceutical Co. Ltd.,Nanjing 211800,China
- Publication Type:Journal Article
- Keywords:
Naomaili granules;
ultra-performance liquid chromatography-mass spectrometry(UPLC-MS/MS);
determination of multi-component content;
chemometrics;
fingerprint;
quality evaluation;
anti-inflammatory activity
- From:
Chinese Journal of Experimental Traditional Medical Formulae
2026;32(2):170-178
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveTo establish an ultra-performance liquid fingerprint and multi-components determination method for Naomaili granules. To evaluate the quality of different batches by chemometrics, and the anti-neuroinflammatory effects of water extract and main components of Naomaili granules were tested in vitro. MethodsThe similarity and common peaks of 27 batches of Naomaili granules were evaluated by using Ultra performance liquid chromatography (UPLC) fingerprint detection. Ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) technology was used to determine the content of the index components in Naomaili granules and to evaluate the quality of different batches of Naomaili granules by chemometrics. LPS-induced BV-2 cell inflammation model was used to investigate the anti-neuroinflammatory effects of the water extract and main components of Naomaili granules. ResultsThe similarity of fingerprints of 27 batches of samples was > 0.90. A total of 32 common peaks were calibrated, and 23 of them were identified and assigned. In 27 batches of Naomaili granules, the mass fractions of 14 components that were stachydrine hydrochloride, leonurine hydrochloride, calycosin-7-O-glucoside, calycosin,tanshinoneⅠ, cryptotanshinone, tanshinoneⅡA, ginsenoside Rb1, notoginsenoside R1, ginsenoside Rg1, paeoniflorin, albiflorin, lactiflorin, and salvianolic acid B were found to be 2.902-3.498, 0.233-0.343, 0.111-0.301, 0.07-0.152, 0.136-0.228, 0.195-0.390, 0.324-0.482, 1.056-1.435, 0.271-0.397, 1.318-1.649, 3.038-4.059, 2.263-3.455, 0.152-0.232, 2.931-3.991 mg∙g-1, respectively. Multivariate statistical analysis showed that paeoniflorin, ginsenoside Rg1, ginsenoside Rb1 and staphylline hydrochloride were quality difference markers to control the stability of the preparation. The results of bioactive experiment showed that the water extract of Naomaili granules and the eight main components with high content in the prescription had a dose-dependent inhibitory effect on the release of NO in the cell supernatant. Among them, salvianolic acid B and ginsenoside Rb1 had strong anti-inflammatory activity, with IC50 values of (36.11±0.15) mg∙L-1 and (27.24±0.54) mg∙L-1, respectively. ConclusionThe quality evaluation method of Naomaili granules established in this study was accurate and reproducible. Four quality difference markers were screened out, and eight key pharmacodynamic substances of Naomaili granules against neuroinflammation were screened out by in vitro cell experiments.