第8卷第5期 2017年5月
食品安全质量检测学报 Journal of Food Safety and Quality
电感耦合等离子体质谱法测定再造烟叶中
17种痕量元素古君平，林宝敏，刘般，王华(广东中烟工业有限责任公司，广州510385)
Vol. 8 No. 5 May.，2017
摘要：目的用微波消解结合电感耦合等离子体质谱法(inductivelycoupledplasmamassspectrometry， ICP-MS)测量再造烟叶中的砷、钡、铍等17种痕量元素方法。方法再造烟叶样品经微波消解后，应用标准模式结合碰撞/反应池技术以及内标法定量进行电感耦合等离子体质谱法的测定，同时考察碰撞模式及硅撞气流量对测定结果的稳定性与准确性。结果17种目标元素线性良好，相关系数r≥0.9995，检出限为0.001~ 0.065mg/kg，加标回收率为79.3%~123.1%，相对标准偏差为1.15%~6.38%。结论该方法具有操作简便、
分析时间短、稳定准确等优势，可满足烟草行业内大批量再造烟叶样品对痕量元素的分析测试。关键词：再造烟叶；痕量元素；电感耦合等离子体质谱；微波消解
Simultaneousdeterminationofi7traceelementsinreconstitutedtobaccoby
inductivelycoupledplasmamassspectrometry GU Jun-Ping,LINBao-Min,LIUYin,WANGHua
(China TobaccoGuangdong Industria! Co.,Ltd., Guangzhou 510385,China)
ABSTRACT: ObjeetiveTo establish a method for determination of 17 trace elements including arsenic, barium, beryllium and others in reconstituted tobacco by inductively coupled plasma mass spectrometry (ICP-MS) with microwave digestion MethodsAfter sample preparation, 17 elements in analysis solution were analyzed by using standard model and the collision/reaction cell technology with internal standard method for quantitative, and the collision mode and collision gas flow rate were optimized for the stability and accuracy of determination results ResultsThe correlation coefficients of standard curves were all above 0.9995, and the limits of detection were 0.001~0.065 mg/kg. The recoveries were 79.3%~123.1% and the relative standard deviations were 1.15%~6.38%, respectively.Conclusions
This method is simple, rapid and reliable, which is suitable for the simultaneous
determination of multi-elements in reconstituted tobacco samples.
KEY WORDS: reconstituted tobacco; trace elements; inductively coupled plasma mass spectrometry; microwave digestion
基金项目：广东中烟工业有限责任公司科技项目(粤烟工[2012]科字第028号)
Fund: Supported by Science and Technology Project of China Tobacco Guangdong Industrial Co., Ltd. ([2012j028)*通讯作者：古君平，工程师，主要研究方向为烟草分析。E-mail:gujunping01@126.com
*Corresponding author: GU Jun-Ping, Engineer, China Tobaceo Guangdong Industrial Co, Ltd., Guangzhou 510385, China, E-mail
gujunping01@126.com 万方数据