基于红外三级鉴定与聚类分析法的党参快速鉴别研究(英文)
发布时间:2018-10-21 11:44
【摘要】:红外光谱因具有快速、无损的优点,特别适合于不同中药的鉴别研究。基于红外光谱和聚类分析法对两类党参(共49个样本)进行鉴别。结果表明:在一维红外光谱中,两者红外光谱图非常相似,仅在1 738和935cm-1处有细微的差异,说明两者化学组分基本一致。在二阶导数红外光谱中,显示了更多的红外指纹特征,特别是1 747,1 515,1 468,1 368,1 264,1 163,1 147,1 108和936cm-1等峰的指纹特征更加明显。进一步采用高分辨率的二维相关红外光谱对两类党参(纹党参和白条党参)进行鉴别,在1 510~1 170cm-1范围内,纹党参的自动峰和交叉峰形成明显的3×3矩阵,在1 459,1 298和1209cm-1处有三个强自动峰,其中1 209cm-1的自动峰强度最大;而白条党参仅在1 450cm-1处有1个强自动峰,其余1 340,1 260,1209cm-1等3个自动峰都极弱。此外,还采用K-means聚类分析技术对两类党参共49个样本进行快速分类研究,结果令人满意。因此,红外三级鉴定法结合K-means聚类分析技术在相似药物的鉴别中能起到重要的作用,且有利于确保药物临床治疗安全有效。
[Abstract]:Because of its fast and nondestructive advantages, infrared spectroscopy is especially suitable for the identification of different Chinese medicines. Two kinds of Codonopsis pilosula (49 samples) were identified by IR and cluster analysis. The results show that the infrared spectra of the two are very similar in one dimension, only slightly different at 1 738 and 935cm-1, indicating that their chemical components are basically the same. In the second derivative infrared spectrum, more infrared fingerprint features are shown, especially the fingerprint characteristics of 1 51515 / 1 468 / 1 264C / 1 163N / 1147 / 108 and 936cm-1 are more obvious than those of other peaks, such as 1 747 / 1 51515 / 1 468 / 1 668 / 1264 / 1 163N / 1147 / 1 108 and 936cm-1 etc. Two kinds of Codonopsis pilosula (Codonopsis pilosula and Codonopsis pilosula) were further identified by high resolution two-dimensional correlation infrared spectroscopy. In the range of 1 510 ~ 1 170cm-1, the automatic and cross peaks of Codonopsis pilosula formed a 3 脳 3 matrix. There are three strong automatic peaks at 1 459 and 1 298 and 1209cm-1, among which 1 209cm-1 has the largest automatic peak, while the other 3 peaks are very weak at 1 450cm-1. In addition, 49 samples of two kinds of Codonopsis pilosula were classified by K-means cluster analysis, and the results were satisfactory. Therefore, infrared triple identification combined with K-means cluster analysis can play an important role in the identification of similar drugs, and help to ensure the safety and effectiveness of drug clinical treatment.
【作者单位】: 韶关学院化学与环境工程学院;
【基金】:the National Natural Science Foundational of China(21071099) the Innovation Projects of Department of Education of Guangdong Province(2014KTSCX169) the Scientific Research project of Shaoguan University(S201501028)
【分类号】:O657.33;R284.1
本文编号:2284995
[Abstract]:Because of its fast and nondestructive advantages, infrared spectroscopy is especially suitable for the identification of different Chinese medicines. Two kinds of Codonopsis pilosula (49 samples) were identified by IR and cluster analysis. The results show that the infrared spectra of the two are very similar in one dimension, only slightly different at 1 738 and 935cm-1, indicating that their chemical components are basically the same. In the second derivative infrared spectrum, more infrared fingerprint features are shown, especially the fingerprint characteristics of 1 51515 / 1 468 / 1 264C / 1 163N / 1147 / 108 and 936cm-1 are more obvious than those of other peaks, such as 1 747 / 1 51515 / 1 468 / 1 668 / 1264 / 1 163N / 1147 / 1 108 and 936cm-1 etc. Two kinds of Codonopsis pilosula (Codonopsis pilosula and Codonopsis pilosula) were further identified by high resolution two-dimensional correlation infrared spectroscopy. In the range of 1 510 ~ 1 170cm-1, the automatic and cross peaks of Codonopsis pilosula formed a 3 脳 3 matrix. There are three strong automatic peaks at 1 459 and 1 298 and 1209cm-1, among which 1 209cm-1 has the largest automatic peak, while the other 3 peaks are very weak at 1 450cm-1. In addition, 49 samples of two kinds of Codonopsis pilosula were classified by K-means cluster analysis, and the results were satisfactory. Therefore, infrared triple identification combined with K-means cluster analysis can play an important role in the identification of similar drugs, and help to ensure the safety and effectiveness of drug clinical treatment.
【作者单位】: 韶关学院化学与环境工程学院;
【基金】:the National Natural Science Foundational of China(21071099) the Innovation Projects of Department of Education of Guangdong Province(2014KTSCX169) the Scientific Research project of Shaoguan University(S201501028)
【分类号】:O657.33;R284.1
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