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基于MP-AES的在线检测技术在地表水中重金属监测中的应用

Application of On-line Detection Technology Based on MP-AES in Monitoring of Heavy Metals in Surface Water

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【作者】 潘佳钏郭鹏然程斌荀合王加勇严冬

【Author】 PAN Jia-chuan;GUO Peng-ran;CHENG Bin;XUN He;WANG Jia-yong;YAN Dong;Guangdong Provincial Key Laboratory of Emergency Test for Dangerous Chemicals,China National Analytical Center;Guangzhou Etran Instrument Co.Ltd.;Joint Technology Center of Agilent-NACC,Agilent Technologies( China) Co.Ltd.;

【机构】 中国广州分析测试中心广东省化学危害应急检测技术重点实验室广州伊创仪器有限公司安捷伦科技(中国)有限公司安捷伦-中广测联合技术中心

【摘要】 通过集成在线富集和在线热消解技术,建立了基于微波等离子体原子发射光谱法(MP-AES)的地表水中重金属的在线检测技术,对珠江干流之一的西江水样中重金属元素(Cd,Cu,Cr,Ni,Pb,Fe,Mn和Zn)进行现场同时在线监测。结果表明,该在线检测技术对这些重金属元素的定量检测能力满足地表水环境质量标准(GB 3838-2002)的限量要求;据环境标准样品中重金属元素分析结果,测定值与配制标准值一致;自来水加标样品的回收率为81.5%~102%。该检测技术对重金属的检出限为1.14~5.34μg/L,检测结果的相对标准偏差(RSD)为0.79%~9.4%,方法可满足地表水中重金属的现场、快速、连续、准确监测需求。

【Abstract】 The on-line detection technology of heavy metals in surface water was established by the on-line preconcentration and the on-line thermal digestion method based on microwave plasma atomic emission spectrometry( MP-AES). The heavy metal elements( Cd, Cu, Cr, Ni, Pb, Fe, Mn and Zn) in water samples were in-situ monitored simultaneously in Xijiang River,one of the Pearl River main streams. The results showed that the on-line detection technology could meet the requirements of surface water environment quality standard( GB 3838-2002) for quantitative detection of those heavy metals. According to the analytical results of heavy metal elements in the environmental standard samples,the determination results were consistent with the standard values. The recoveries of spiked water samples ranged from 81. 5% to 102%. The detection limits of this detection technology for heavy metals ranged from 1. 14 μg/L to 5. 34 μg/L,and the RSDs of the detection results were in the range of 0. 79%-9. 4%. The method could meet the requirements for rapid,continuous and accurate monitoring of heavy metal element contents in surface water.

【基金】 国家自然科学基金项目(21307120);广东省科技计划项目(2016B020240006,2015A020218001)
  • 【文献出处】 分析测试学报 ,Journal of Instrumental Analysis , 编辑部邮箱 ,2017年04期
  • 【分类号】X832;O657.3
  • 【被引频次】4
  • 【下载频次】194
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