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淡竹叶红外光谱的多级鉴定与分析
引用本文:邵莹,吴启南,谷巍,乐巍,吴达维,樊修和. 淡竹叶红外光谱的多级鉴定与分析[J]. 中国中药杂志, 2014, 39(9): 1644-1649
作者姓名:邵莹  吴启南  谷巍  乐巍  吴达维  樊修和
作者单位:江苏省中药资源产业化过程协同创新中心, 南京中医药大学, 江苏 南京 210023;江苏省中药资源产业化过程协同创新中心, 南京中医药大学, 江苏 南京 210023;江苏省中药资源产业化过程协同创新中心, 南京中医药大学, 江苏 南京 210023;江苏省中药资源产业化过程协同创新中心, 南京中医药大学, 江苏 南京 210023;江苏省中药资源产业化过程协同创新中心, 南京中医药大学, 江苏 南京 210023;江苏省中药资源产业化过程协同创新中心, 南京中医药大学, 江苏 南京 210023
基金项目:教育部高等学校博士学科点专项科研基金项目(20133237110010);江苏省2013年度普通高校研究生科研创新计划项目(CXZZ13_0630);江苏省高校中药资源产业化过程协同创新中心建设专项(2013);江苏省教育厅产业化项目(JHZD09-11)
摘    要:以淡竹叶及其常见伪品鸭跖草药材红外图谱为依据,分别通过一维红外光谱分析,二阶导数光谱分析和二维相关红外光谱分析的多级鉴定,寻找淡竹叶及其伪品的差异。利用共有峰率和变异峰率2个指标,以11个批次淡竹叶红外图谱为依据,计算并建立共有峰率和变异峰率双指标序列,并对其红外图谱数据进行聚类分析,探讨各产地淡竹叶的相似度。结果表明,通过红外光谱多级鉴定,可有效区别淡竹叶及其伪品;通过双指标序列分析和聚类分析2种统计方法,分组结果趋势一致,可有效区分淡竹叶来源产区和品质差异。红外光谱法以其测定快速简便、所需样品量少,结果稳定可靠等特点,为中药真伪鉴别和药材掺假甄别,及其品质差异和产地归属等方面提供了一种快速可靠的新方法。

关 键 词:淡竹叶  红外  二阶导数谱  二维相关光谱  双指标序列分析  聚类分析
收稿时间:2013-12-15

Multi-level identification and analysis about infrared spectroscopy of Lophatheri Herba
SHAO Ying,WU Qi-nan,GU Wei,YUE Wei,WU Da-wei and FAN Xiu-he. Multi-level identification and analysis about infrared spectroscopy of Lophatheri Herba[J]. China Journal of Chinese Materia Medica, 2014, 39(9): 1644-1649
Authors:SHAO Ying  WU Qi-nan  GU Wei  YUE Wei  WU Da-wei  FAN Xiu-he
Affiliation:Collaborative Innovation Center of Chinese Medicinal Resources Industrialization of Jiangsu Province, Nanjing University of Chinese Medicine, Nanjing 210023, China;Collaborative Innovation Center of Chinese Medicinal Resources Industrialization of Jiangsu Province, Nanjing University of Chinese Medicine, Nanjing 210023, China;Collaborative Innovation Center of Chinese Medicinal Resources Industrialization of Jiangsu Province, Nanjing University of Chinese Medicine, Nanjing 210023, China;Collaborative Innovation Center of Chinese Medicinal Resources Industrialization of Jiangsu Province, Nanjing University of Chinese Medicine, Nanjing 210023, China;Collaborative Innovation Center of Chinese Medicinal Resources Industrialization of Jiangsu Province, Nanjing University of Chinese Medicine, Nanjing 210023, China;Collaborative Innovation Center of Chinese Medicinal Resources Industrialization of Jiangsu Province, Nanjing University of Chinese Medicine, Nanjing 210023, China
Abstract:Based on the infrared spectra of Lophatheri Herba and Commelinae Herba, one-dimensional infrared spectra, second derivative spectra and two-dimensional correlated spectra were used to find out the differences between Lophatheri Herba and its imitations, respectively.The common peak ratio and variant peak ratio dual-indexes sequential were calculated and established according to infrared spectra of eleven batches of herbs.Infrared spectral data of Lophatheri Herba cluster analysis was applied to explore the similarity between each sample.The grouping results trend of sequential analysis of dual-indexes and cluster analysis was accordant.The results showed that the differences could be found by multi-level identification, and the source and the quality of the herbs could be effectively distinguished by the two analysis methods.Infrared spectroscopy, used in the present work exhibited some advantages on quick procedures, less sample required, and reliable results, which could provide a new method for the identification of traditional Chinese medicine with the imitations and adulterants, and the control of quality and origin.
Keywords:Lophatheri Herba  infrared print  second derivative spectra  two-dimensional correlated spectra  sequential analysis of dual-indexes  cluster analysis
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