详细信息

中成药药用胶囊中4种有毒金属元素测定方法    

Determination of 4 Toxic Metallic Elements in Medical Capsules of Chinese Traditional Medicines

文献类型:期刊文献

中文题名:中成药药用胶囊中4种有毒金属元素测定方法

英文题名:Determination of 4 Toxic Metallic Elements in Medical Capsules of Chinese Traditional Medicines

作者:刘鑫[1];张玲帆[1];王艳萍[2]

机构:[1]华东理工大学化学与分子工程学院,上海200237;[2]安捷伦科技有限公司生命科学与化学分析部,上海200233

年份:2014

卷号:35

期号:4

起止页码:341

中文期刊名:青岛科技大学学报(自然科学版)

外文期刊名:Journal of Qingdao University of Science and Technology:Natural Science Edition

收录:CSTPCD;;北大核心:【北大核心2011】;

语种:中文

中文关键词:微波消解;GF—AAS;ICP—OES;胶囊

外文关键词:microwave digestion; GF-AAS; ICP-OES; capsules

摘要:对中成药药用胶囊中铬、镉、砷、铅4种有毒金属元素的含量进行了测定。利用V(HNO3)∶V(HF)∶V(H2O2)=4∶1∶1的混合酸体系,消解含有Ti、Si氧化物的药用胶囊。采用石墨炉原子吸收光谱法(GF-AAS)和电感耦合等离子体发射光谱法(ICPOES)对样品中的4种有毒金属元素进行了测定。结果表明:4种中成药药用胶囊中铬的含量均符合2010年版《中国药典》(二部)明胶空心胶囊标准要求,镉、砷、铅3种元素含量也均符合我国《药用植物及制剂进出口绿色行业标准》规定。说明两种方法均可以满足中成药药用胶囊中铬、镉、砷、铅4种金属元素的检测。对于高含量的样品,ICP-OES法简便、快捷、高效;而对于低含量的样品,GF-AAS法加标回收率更好,准确度更高。
To determine the content of chromium, cadmium, arsenic and lead toxic metallic elements in medical capsules of chinese traditional medicines. The compounds containing titanium oxide or silicon oxide were completely decomposed effectually by V(HNOa) :V(H202) : V(HF)=4 : 1 : 1 mixed acid digested system. The four toxic elements in samples were determined by graphite furnace atomic absorption spectrome- try (GF-AAS) and inductively coupled plasma optical emission spectrometr (ICP-OES), respectively. The chromium content of four chinese traditional medicines were up to the standard of the "hollow gelatin capsules'in China Pharmacopoeia( Ⅱ, 2010Ed). The content of Cd, As and Pb were in line with China's "medicinal plants and formulations import and export of green industry standards". The results showed that the two detection methods were applicable to the determination of Cr, Cd, As and Pb in medical cap- sules of chinese traditional medicines. The method of ICP-OES is more simple, fast and efficient for the samples of higher-contents. But the method of GF-AAS is better recov- ery and accuracy for the low content of samples.

参考文献:

正在载入数据...

版权所有©华东理工大学 重庆维普资讯有限公司 渝B2-20050021-7 
渝公网安备 50019002500408号 违法和不良信息举报中心