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基于HPLC与NIRS指纹图谱分析不同形态的乌药根 被引量:8

Analysis of different forms Linderae Radix based on HPLC and NIRS fingerprints
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摘要 为了分析鉴别3种不同形态的乌药根,采用高效液相色谱和近红外光谱指纹图谱相结合的方法进行综合评价。将乌药纺锤根、直根和老根进行分组,建立其高效液相色谱(HPLC)指纹图谱,并使用SPSS软件进行聚类分析;采集乌药近红外光谱(NIRS)图,运用判别分析法,建立乌药最佳定性分析模型。结果显示,乌药纺锤根和乌药直根相似度≥0.990,乌药老根相似度≤0.85;聚类分析和NIRS判别分析模型将乌药3个不同形态根清晰地聚为两类,界限明显。说明乌药老根与纺锤根、直根有很大的品质差异。HPLC和NIRS指纹图谱2种方法结合,能够快速准确地用于不同形态乌药根的鉴别。 Three different forms of Linderae Radix were evaluated by HPLC combined with NIRS fingerprint. The Linderae Radix was divided into three forms,including spindle root,straight root and old root. The HPLC fingerprints were developed,and then cluster analysis was performed using the SPSS software. The near-infrared spectra of Linderae Radix was collected,and then established the discriminant analysis model. The similarity values of the spindle root and straight root all were above 0. 990,while the similarity value of the old root was less than 0. 850. Two forms of Linderae Radix were obviously divided into three parts by the NIRS model and Cluster analysis. The results of HPLC and FT-NIR analysis showed the quality of Linderae Radix old root was different from the spindle root and straight root. The combined use of the two methods could identify different forms of Linderae Radix quickly and accurately.
作者 杜伟锋 岳显可 吴瑶 葛卫红 陆兔林 王智民 DU Wei-feng YUE Xian-ke WU Yao GE Wei-hong LU Tu-lin WANG Zhi-min(Research Center of Traditonal Chinese Medicine Processing Technology, Zhefiang Chinese Medical University, Hangzhou 311401, China Zhejiang Chinese Medical University Chinese Midicine Yinpian Co. , Ltd. , Hangzhou 311401, China College of Pharmaceutical Science, Nanjing University of Traditonal Chinese Medicine, Nanjing 210046, China Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China)
出处 《中国中药杂志》 CAS CSCD 北大核心 2016年第19期3551-3556,共6页 China Journal of Chinese Materia Medica
基金 中医药行业科研专项(201507002) 浙江省公益性技术应用研究计划项目(2015C33152) 浙江中医药大学重中之重一级学科开放基金项目
关键词 乌药 不同形态 高效液相色谱 近红外光谱 聚类分析 判别分析 Linderae Radix different forms HPLC NIRS cluster analysis discriminant analysis
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