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向量模法在麻黄HPLC指纹图谱评价中的应用
引用本文:林枫,刘利军,杨文远. 向量模法在麻黄HPLC指纹图谱评价中的应用[J]. 宁夏大学学报(自然科学版), 2006, 27(2): 186-188
作者姓名:林枫  刘利军  杨文远
作者单位:宁夏大学,化学化工学院,宁夏,银川,750021
摘    要:用HPLC法分离测定了不同种属、产地及年限的麻黄草的主要成分,根据17批供试品溶液HPLC图谱给出的相关参数建立了麻黄药材的指纹图谱,并用向量模算法对麻黄指纹图谱进行了解析.结果表明,用向量模算法能够很好地区分不同种属、不同部位的麻黄,同时也能体现不同采收季节和存储时间的麻黄的差异性,从而为麻黄指纹图谱的解析提供了一种新的研究方法.

关 键 词:向量模法  麻黄  指纹图谱
文章编号:0253-2328(2006)02-0186-03
收稿时间:2005-09-05
修稿时间:2005-09-05

Application of Vector Norm in the Appraise of Ephedrine with HPLC Fingerprints
Lin Feng,Liu Lijun,Yang Wenyuan. Application of Vector Norm in the Appraise of Ephedrine with HPLC Fingerprints[J]. Journal of Ningxia University(Natural Science Edition), 2006, 27(2): 186-188
Authors:Lin Feng  Liu Lijun  Yang Wenyuan
Affiliation:School of Chemistry and Chemical Engineering, Ningxia University, Yinchuan 750021,China
Abstract:This paper has set up the fingerprints of the ephedrine by HPLC relevant parameters of 17 batches, and applied the vector norm to analysis it. The result shows the ephedrine of different kinds and different positions can be very good differentiation by using the vector norm, and it also can reflect its difference to different ephedrine with gathering season and storing time at the same time, thus it offers a kind of new research approach for analysis of the fingerprint of ephedrine.
Keywords:vector norm   ephedrine   fingerprint
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