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参芪降糖颗粒石油醚部位GC-MS指纹图谱研究

李冰冰 王倩 李彩霞 黄文静 程国良 关永霞 Muhammad Ishaqq 肖雪 严诗楷

数字中医药(英文)2021,Vol.4Issue(1):32-41,10.
数字中医药(英文)2021,Vol.4Issue(1):32-41,10.DOI:10.1016/j.dcmed.2021.03.004

参芪降糖颗粒石油醚部位GC-MS指纹图谱研究

Study on GC-MS fingerprint of petroleum ether fraction of Shenqi Jiangtang Granules

李冰冰 1王倩 2李彩霞 2黄文静 2程国良 1关永霞 1Muhammad Ishaqq 3肖雪 1严诗楷2

作者信息

  • 1. 鲁南制药集团股份有限公司,中药制药共性技术国家重点实验室,山东 临沂 276000,中国
  • 2. 广东药科大学中医药研究院,广东广州 510006,中国
  • 3. 上海交通大学药学院,上海 200240,中国
  • 折叠

摘要

Abstract

Objective To establish gas chromatography-mass spectrometry (GC-MS) fingerprint method for the petroleum ether fraction of Shenqi Jiangtang Granules (SQJTG) and evaluate the product quality. Methods The GC-MS fingerprint of petroleum ether fraction of SQJTG was established by GC-MS, and the chemical components corresponding to the fingerprint peaks were structurally identified on NIST2014. The batch consistency of SQJTG products was evaluated based on the chemical composition of petroleum ether parts by using fingerprint similarity evaluation and Principal components analysis (PCA) technology. At the same time, Hotelling's T2 and DMODX statistics are used to set the control range for the quality of different batches of products. Results Twenty-two components were identified from the petroleum ether part of SQJTG, accounting for 60.94% of the total components separated. The similarity of fingerprints of petroleum ether parts of 24 batches of SQJTG was greater than 0.95. The PCA of 24 batches of samples were all under the control limits of Hotellin's T2 and DMODX statistics, indicating that the petroleum ether parts of different batches of SQJTG were consistent. Conclusion The developed GC-MS fingerprint method can be used to evaluate the quality of SQJTG.

关键词

参芪降糖颗粒/气相色谱-质谱联用技术/相似度评价/主成分分析/质量评价

Key words

Shenqi Jiangtang Granules (SQJTG)/Gas chromatography-mass spectrometry (GC-MS)/Similarity evaluation/Principal components analysis/Quality evaluation

引用本文复制引用

李冰冰,王倩,李彩霞,黄文静,程国良,关永霞,Muhammad Ishaqq,肖雪,严诗楷..参芪降糖颗粒石油醚部位GC-MS指纹图谱研究[J].数字中医药(英文),2021,4(1):32-41,10.

基金项目

We thank for the funding support from the National Key Research and Development Program of China (No. 2019YFC1711200). (No. 2019YFC1711200)

数字中医药(英文)

2096-479X

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