参芪降糖颗粒石油醚组分的GC-MS指纹图谱研究

Q3 Medicine
Li Bingbing , Wang Qian , Li Caixia , Huang Wenjing , Chen Guoliang , Guan Yongxia , Muhammad Ishaq , Xiao Xue , Yan Shikai
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引用次数: 2

摘要

目的建立参芪降糖颗粒中石油醚组分的气相色谱-质谱(GC-MS)指纹图谱方法,并对产品质量进行评价。方法采用GC-MS建立SQJTG石油醚组分的GC-MS指纹图谱,并在NIST2014上对指纹图谱峰对应的化学成分进行结构鉴定。采用指纹相似度评价和主成分分析(PCA)技术,基于石油醚组分的化学成分对SQJTG产品的批次一致性进行了评价。同时,采用Hotelling的T2和DMODX统计,设定不同批次产品的质量控制范围。结果从SQJTG的石油醚部分共鉴定出22种组分,占总分离组分的60.94%。24批SQJTG的石油醚部分指纹图谱相似度均大于0.95。24批样品的PCA均在Hotellin的T2和DMODX统计量的控制范围内,说明不同批次SQJTG的石油醚部分是一致的。结论所建立的气相色谱-质谱指纹图谱法可用于评价黄芪多糖的质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study on GC-MS fingerprint of petroleum ether fraction of Shenqi Jiangtang Granules

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.

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来源期刊
Digital Chinese Medicine
Digital Chinese Medicine Medicine-Complementary and Alternative Medicine
CiteScore
1.80
自引率
0.00%
发文量
126
审稿时长
63 days
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