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某些草药中金属含量的测定——经验法和化学计量学法

Determination of metal content in some herbal drugs-Empirical and chemometric approach.

作者信息

Razić Slavica, Onjia Antonije, Dogo Svetlana, Slavković Latinka, Popović Aleksandar

机构信息

Faculty of Pharmacy, Institute of Analytical Chemistry, University of Belgrade, 11211 Belgrade, Serbia and Montenegro.

出版信息

Talanta. 2005 Jul 15;67(1):233-9. doi: 10.1016/j.talanta.2005.03.023.

DOI:10.1016/j.talanta.2005.03.023
PMID:18970161
Abstract

The concentrations of Cu, Zn, Mn, Fe, K, Ca, Mg, Al, Ba and B in 26 herbal drugs of special importance in phytopharmacy were studied. Flame atomic absorption and emission spectrometry (FAAS, FAES), as well as inductively coupled plasma atomic emission spectrometry (ICP-AES), were applied in this work. The whole procedure, from sample preparation, via dissolution, to measurements, was validated by using CRM (NIST 1573a-tomato leaves), and the obtained recovery values are in the range from 91 to 102%. Drug samples originated from medicinal plants cultivated in Serbia contained Cu (4.47-14.08mgkg(-1)), Zn (8.4-54.5mgkg(-1)), Mn (9-155mgkg(-1)), Fe (47-546mgkg(-1)), K (0.20-6.24%), Ca (0.18-1.84%), Mg (0.13-1.09%), Al (16-416mgkg(-1)), Ba (11.70-84.83mgkg(-1)) and B (5.1-118.7mgkg(-1)). In order to get a better insight into the elemental patterns, a common chemometric approach to data evaluation was used. Four significant factors identified by principal component analysis (PCA) were attributed partly to the significant influential sources and high mobility of some elements thus referring to potential anthropogenic contamination as well.

摘要

对植物药学中26种特别重要的草药中的铜、锌、锰、铁、钾、钙、镁、铝、钡和硼的浓度进行了研究。本研究采用火焰原子吸收和发射光谱法(FAAS、FAES)以及电感耦合等离子体原子发射光谱法(ICP-AES)。从样品制备、溶解到测量的整个过程通过使用CRM(NIST 1573a - 番茄叶)进行了验证,获得的回收率在91%至102%范围内。源自塞尔维亚种植的药用植物的药物样品含有铜(4.47 - 14.08mgkg(-1))、锌(8.4 - 54.5mgkg(-1))、锰(9 - 155mgkg(-1))、铁(47 - 546mgkg(-1))、钾(0.20 - 6.24%)、钙(0.18 - 1.84%)、镁(0.13 - 1.09%)、铝(16 - 416mgkg(-1))、钡(11.70 - 84.83mgkg(-1))和硼(5.1 - 118.7mgkg(-1))。为了更好地了解元素模式,采用了一种常用的化学计量学方法进行数据评估。通过主成分分析(PCA)确定的四个重要因素部分归因于一些元素的重要影响源和高迁移率,因此也涉及潜在的人为污染。

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