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首页> 外文期刊>Phytomedicine : >Quantitative and chemical fingerprint analysis for quality control of rhizoma Coptidischinensis based on UPLC-PAD combined with chemometrics methods.
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Quantitative and chemical fingerprint analysis for quality control of rhizoma Coptidischinensis based on UPLC-PAD combined with chemometrics methods.

机译:基于UPLC-PAD结合化学计量学方法对黄连的质量控制进行定量和化学指纹分析。

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摘要

To control the quality of rhizoma Coptidis, a method based on ultra performance liquid chromatography with photodiode array detector (UPLC-PAD) was developed for quantitative analysis of five active alkaloids and chemical fingerprint analysis. In quantitative analysis, the five alkaloids showed good regression (R > 0.9992) within test ranges and the recovery of the method was in the range of 98.4-100.8%. The limit of detections and quantifications for five alkaloids in PAD were less than 0.07 and 0.22 microg/ml, respectively. In order to compare the UPLC fingerprints between rhizoma Coptidis from different origins, the chemometrics procedures, including similarity analysis (SA), hierarchical clustering analysis (HCA), principal component analysis (PCA) were applied to classify the rhizoma Coptidis samples according to their cultivated origins. Consistent results were obtained to show that rhizoma Coptidis samples could be successfully grouped in accordance with the province of origin. Furthermore, five marker constituents were screened out to be the main chemical marker, which could be applied to accurate discrimination and quality control for rhizoma Coptidis by quantitative analysis. This study revealed that UPLC-PAD method was simple, sensitive and reliable for quantitative and chemical fingerprint analysis, moreover, for the quality evaluation and control of rhizoma Coptidis.
机译:为了控制黄连的质量,开发了一种基于超高效液相色谱和光电二极管阵列检测器(UPLC-PAD)的方法,用于五种活性生物碱的定量分析和化学指纹分析。在定量分析中,这五个生物碱在测试范围内均表现出良好的回归(R> 0.9992),并且该方法的回收率在98.4-100.8%之间。 PAD中五种生物碱的检出限和定量限分别小于0.07和0.22 microg / ml。为了比较不同来源黄连的UPLC指纹图谱,采用化学计量学方法,包括相似度分析(SA),层次聚类分析(HCA),主成分分析(PCA),对黄连样品进行了分类。起源。获得一致的结果表明,黄连样品可以成功地根据原产省进行分组。此外,筛选出五种标志物成分作为主要化学标志物,可通过定量分析将其用于黄连的准确鉴别和质量控制。这项研究表明,UPLC-PAD方法简便,灵敏且可靠,可用于定量和化学指纹分析,还可用于黄连的质量评估和控制。

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