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1.西南民族大学药学院,成都 610225
2.四川省羌彝药用资源保护与利用技术工程实验室,成都 610225
3.青藏高原民族药用资源保护与利用国家民委重点实验室,成都 610225
4.凉山州食品药品检验所,四川 西昌 615000
5.西南民族大学民族医药研究院,成都 610225
6.西南民族大学青藏高原研究院,成都 610225
Published:15 February 2023,
Received:11 August 2022,
Revised:29 December 2022,
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额其小里,沈继秀,罗江等.彝药菊三七的质量标准及不同产地药材的质量评价Δ[J].中国药房,2023,34(03):309-314.
Eqixiaoli ,SHEN Jixiu,LUO Jiang,et al.Study on quality standard of Yi medicine Gynura japonica and quality evaluation of medicinal materials from different producing areas[J].ZHONGGUO YAOFANG,2023,34(03):309-314.
额其小里,沈继秀,罗江等.彝药菊三七的质量标准及不同产地药材的质量评价Δ[J].中国药房,2023,34(03):309-314. DOI: 10.6039/j.issn.1001-0408.2023.03.11.
Eqixiaoli ,SHEN Jixiu,LUO Jiang,et al.Study on quality standard of Yi medicine Gynura japonica and quality evaluation of medicinal materials from different producing areas[J].ZHONGGUO YAOFANG,2023,34(03):309-314. DOI: 10.6039/j.issn.1001-0408.2023.03.11.
目的
2
完善并提高彝药菊三七的质量标准,并评价其质量。
方法
2
以不同产地的15批菊三七药材为样品,根据2020年版《中国药典》(四部)方法测定其水分、总灰分、酸不溶性灰分及水溶性浸出物含量,采用紫外分光光度法测定其总生物碱(以千里光碱计)含量,采用高效液相色谱(HPLC)法测定其千里光碱和千里光菲灵碱含量。以上述7个指标为评价指标,通过聚类热图分析法、主成分分析(PCA)法及熵权逼近理想排序(TOPSIS)法对药材质量进行综合评价。
结果
2
15批菊三七的水分含量为8.88%~12.60%,总灰分含量为4.43%~11.02%,酸不溶性灰分含量为0.56%~3.45%,水溶性浸出物含量为21.71%~53.91%,总生物碱(以千里光碱计)含量为0.15%~0.39%,千里光碱、千里光菲灵碱的含量分别为0.01%~0.05%、0.01%~0.06%。根据各指标结果,初步拟定菊三七样品中水分不得过13.00%,总灰分不得过11.50%,酸不溶性灰分不得过3.70%,水溶性浸出物含量不得少于20.70%,总生物碱含量(以千里光碱计)不得少于0.15%,千里光碱、千里光菲灵碱含量均不得少于0.01%。聚类热图分析结果显示,15批样品可分为4类;PCA法和TOPSIS法分析结果显示,品质排名靠前的样品为jsq-2、jsq-5、jsq-6、jsq-10,品质排名靠后的样品为jsq-4、jsq-13、jsq-14。
结论
2
本研究建立了菊三七中总生物碱(以千里光碱计)、千里光碱、千里光菲灵碱的定量分析方法,并初步拟定了各指标的限度;在15批样品中,以产自凉山彝族自治州甘洛县林杂村、凉山彝族自治州普格县螺髻山镇马厂坪村等地的样品质量相对较好。
OBJECTIVE
2
To improve the quality standard of Yi medicine
Gynura japonica
, and to evaluate its quality.
METHODS
2
Using 15 batches of
G. japonica
from different producing areas as samples, the contents of water, total ash, acid-insoluble ash and water-soluble extract were determined according to the method stated in part Ⅳ of
Chinese Pharmacopoeia
(2020 edition). The contents of total alkaloid (calculated by senecionine) was determined by UV spectrophotometry. The contents of senecionine and seneciphylline were determined by HPLC. Using above 7 indexes as evaluation indexes, cluster heat map analysis, principal component analysis (PCA) and entropy weight approximation ideal ranking (TOPSIS) were used to evaluate the quality of medicinal material comprehensively.
RESULTS
2
Among 15 batches of
G. japonica
, the moisture contents were 8.88%-12.60%, the total ash contents were 4.43%-11.02%, the acid-insoluble ash contents were 0.56%-3.45%, the water-soluble extract contents were 21.71%-53.91%, the total alkaloid contents (calculated by senecionine) were 0.15%-0.39%, and the contents of senecionine and seneciphylline were 0.01%-0.05% and 0.01%-0.06% respectively. According to the results of various indicators, it was preliminarily proposed that the water content in the sample of
G. japonica
should not exceed 13.00%, the total ash content should not exceed 11.50%, the acid-insoluble ash content should not exceed 3.70%, the water-soluble extract should not be less than 20.70%, the total alkaloid content should not be less than 0.15%, the contents of senecionine and seneciphylline should not be less than 0.01% both. The results of cluster heat map analysis showed that the 15 batches of samples could be divided into four categories; the results of PCA and TOPSIS showed that the samples with high-quality ranking were jsq-2, jsq-5, jsq-6 and jsq-10, and the samples with low-quality ranking were jsq-4, jsq-13 and jsq-14.
CONCLUSIONS
2
In this study, the quantitative analysis method of total alkaloids (calculated by senecionine), senecionine and seneciphylline in
G. japonica
is established, and the limits of each index are preliminarily determined. Among 15 batches of samples, the qualities of medicinal material collected from Linza Village of Ganluo County of Liangshan Yi Autonomous Prefecture, Machangping Village of Luojishan Town of Puge County of Liangshan Yi Autonomous Prefecture and other places are better.
菊三七质量标准千里光碱千里光菲灵碱总生物碱多元统计分析
quality standardsenecionineseneciphyllinetotal alkaloidsmultivariate statistical analysis
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