利用毛细管电泳和模式识别技术鉴别鸦片和罂粟杆。

Differentiation of opium and poppy straw using capillary electrophoresis and pattern recognition techniques.

作者信息

Reid Raymond G, Durham David G, Boyle Susanne P, Low Ann S, Wangboonskul Jinda

机构信息

School of Pharmacy, The Robert Gordon University, Schoolhill, Aberdeen AB10 1FR, UK.

出版信息

Anal Chim Acta. 2007 Dec 12;605(1):20-7. doi: 10.1016/j.aca.2007.10.023. Epub 2007 Oct 22.

DOI:10.1016/j.aca.2007.10.023

PMID:18022406

Abstract

Opium samples from four different locations and poppy straw from different plant varieties have been assayed using micellar capillary electrophoresis incorporating a sweeping technique. Individual alkaloids (morphine, codeine, papaverine, noscapine, thebaine, oripavine, reticuline and narceine) were quantitatively determined in the different samples by a validated capillary electrophoresis method. Unsupervised pattern recognition of the opium samples and the poppy straw samples using hierarchical cluster analysis (HCA) and principal component analysis (PCA), showed distinct clusters. Supervised pattern recognition using soft independent modelling of class analogy (SIMCA) was performed to show individual groupings and allow unknown samples to be classified according to the models built using the CZE assay results.

摘要

使用结合了扫集技术的胶束毛细管电泳法对来自四个不同地点的鸦片样品和不同植物品种的罂粟秆进行了分析。通过经过验证的毛细管电泳方法对不同样品中的各生物碱（吗啡、可待因、罂粟碱、那可丁、蒂巴因、阿片碱、网叶番荔枝碱和那碎因）进行了定量测定。使用层次聚类分析（HCA）和主成分分析（PCA）对鸦片样品和罂粟秆样品进行无监督模式识别，结果显示出明显的聚类。使用类类比软独立建模（SIMCA）进行有监督模式识别，以显示各个分组，并允许根据使用毛细管区带电泳（CZE）分析结果建立的模型对未知样品进行分类。