基于化学计量学和多成分定量的不同产地断血流及其药用部位质量评价 |
投稿时间:2024-04-07 点此下载全文
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引用本文:方澳宇,袁杰,陈灵丽,汪康,吴德玲,张亚中.基于化学计量学和多成分定量的不同产地断血流及其药用部位质量评价[J].中国现代中药,2024,26(11):1875-1885 |
DOI:10.13313/j.issn.1673-4890.20240407008 |
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作者中文名 | 作者英文名 | 单位中文名 | 单位英文名 | E-Mail |
方澳宇 |
FANG Ao-yu |
安徽中医药大学 药学院,安徽 合肥 230012 |
School of Pharmacy, Anhui University of Chinese Medicine, Hefei230012, China |
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袁杰 |
YUAN Jie |
安徽省食品药品检验研究院/国家药品监督管理局 中药质量研究与评价重点实验室,安徽 合肥 230051 |
Anhui Institute for Food and Drug Control, Key Laboratory of Quality Research and Evaluation of Traditional Chinese Medicine, National Medical Products Administration, Hefei230051, China |
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陈灵丽 |
CHEN Ling-li |
安徽中医药大学 药学院,安徽 合肥 230012 淮南市食品药品检验中心,安徽 淮南 232007 |
School of Pharmacy, Anhui University of Chinese Medicine, Hefei230012, China Huainan Municipal Food and Drug Inspection Center, Huainan232007, China |
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汪康 |
WANG Kang |
安徽省食品药品检验研究院/国家药品监督管理局 中药质量研究与评价重点实验室,安徽 合肥 230051 |
Anhui Institute for Food and Drug Control, Key Laboratory of Quality Research and Evaluation of Traditional Chinese Medicine, National Medical Products Administration, Hefei230051, China |
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吴德玲 |
WU De-ling |
安徽中医药大学 药学院,安徽 合肥 230012 |
School of Pharmacy, Anhui University of Chinese Medicine, Hefei230012, China |
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张亚中* |
ZHANG Ya-zhong |
安徽中医药大学 药学院,安徽 合肥 230012 安徽省食品药品检验研究院/国家药品监督管理局 中药质量研究与评价重点实验室,安徽 合肥 230051 |
School of Pharmacy, Anhui University of Chinese Medicine, Hefei230012, China Anhui Institute for Food and Drug Control, Key Laboratory of Quality Research and Evaluation of Traditional Chinese Medicine, National Medical Products Administration, Hefei230051, China |
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中文摘要:目的 建立断血流的特征图谱和含量测定方法,通过化学计量学和多成分定量评价不同产地断血流及其药用部位的质量。方法 采用超高效液相色谱法(UPLC),应用Aglient SB C18色谱柱(100 mm×2.1 mm,1.8 μm);以0.1%甲酸水溶液(A)-乙腈(B)为流动相,梯度洗脱,流速为0.3 mL·min–1;柱温为30 ℃;进样体积为3 μL;检测波长为263 nm。运用多组分检验柱状图、主成分分析(PCA)、正交偏最小二乘法-判别分析(OPLS-DA)等方法综合评价不同产地断血流及其药用部位的质量,并采取数据可视化工具制作植物热图进行数据表征。结果 建立识别断血流中13个共有成分的特征图谱,经方法学验证,所建立的方法适用于断血流药材的特征图谱及含量测定;不同产地和不同药用部位的质量差异有统计学意义(P<0.05)。除DXL-001、DXL-007外,21批样品的相似度为0.877~0.990。不同药用部位经PCA、OPLS-DA等方法可明显分为2类,得到6个差异性物质,表明茎、叶部位的成分含量差异有统计学意义(P<0.05);不同成分含量累计柱状图表明,不同地区中安徽产样品质量最佳。结论 断血流特征图谱和含量测定方法科学准确、合理可行,为断血流的质量评判提供了理论依据。 |
中文关键词:断血流 化学计量学 超高效液相色谱法 特征图谱 质量评价 |
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Quality Evaluation of Clinopodii Herba from Different Medicinal Parts and Origins Based on Chemometrics and Multi-component Quantification |
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Abstract:Objective To establish a characteristic fingerprint and a content determination method for Clinopodii Herba and to evaluate the quality of Clinopodii Herba from different origins and medicinal parts with chemometrics and multi-component quantification.Methods Ultra-performance liquid chromatography (UPLC) was performed on an Agilent SB C18 column (100 mm×2.1 mm, 1.8 μm) using 0.1% formic acid aqueous solution (A) and acetonitrile (B) as the mobile phase in gradient elution mode at a flow rate of 0.3 mL·min–1. The injection volume was 3 μL, and the column temperature was 30 ℃. The detection wavelength was set at 263 nm. Principal component analysis (PCA), orthogonal partial least squares discriminant analysis (OPLS-DA), and other analytical methods were employed to comprehensively evaluate the quality of Clinopodii Herba from different regions and medicinal parts. Data visualization techniques were used to produce heat maps of plants for data characterization.Results A characteristic fingerprint was established that can identify 13 common components in Clinopodii Herba. The methods were validated as suitable for the characteristic fingerprint and content determination of Clinopodii Herba. There were significant differences in the quality of Clinopodii Herba from different origins and different medicinal parts (P<0.05). The similarity among 21 batches of samples, except for DXL-001 and DXL-007, ranged from 0.877 to 0.990. PCA and OPLS-DA classified the different medicinal parts into two distinct categories, yielding six differentiated markers. This classification indicated that the component content in stem and leaf parts was different significantly (P<0.05). Cumulative histograms of the contents of different components revealed that the quality of samples from Anhui was superior among the regions studied.Conclusion The characterization and content determination methods are scientific, accurate, reasonable, and feasible. These findings provide a theoretical basis for the quality assessment of Clinopodii Herba. |
keywords:Clinopodii Herba chemometrics UPLC characteristic fingerprint quality evaluation |
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