光谱学与光谱分析, 2018, 38 (5): 1558, 网络出版: 2018-06-01  

ICP-AES结合SVDV技术应用于饮用水品质检测性能诊断

Performance Diagnosis of ICP-AES Combined with SVDV Technology for Quality Analysis of Drinking Water
作者单位
1 桂林理工大学理学院, 广西 桂林 541004
2 广东星创众谱仪器有限公司, 广东 广州 510663
3 钦州学院海洋学院, 广西 钦州535011
4 仲恺农业工程学院信息科学与技术学院, 广东 广州 510225
5 广州市光机电技术研究院, 广东 广州 510663
摘要
采用电感耦合等离子体原子发射光谱(ICP-AES)技术, 通过轴向、 径向、 同步垂直双向(SVDV)三个视角配置, 快速检测生活饮用水样本中的As, Ba, Mg和Ni等微量元素。 ICP-AES光谱仪在三个检测视角均能实现快速预热, 预热时间仅需2 min, 而且, ICP-AES光谱的短期稳定性和长期稳定性表现良好, 其相对标准偏差(RSD)均低于2%。 以3份商业瓶装饮用水和2份添加标准物的饮用水为检测的对象, 利用ICP-AES技术结合SVDV视角, 分别从轴向和SVDV两个视角检测As, Ba, Cr, Cu, Mn, Mo, Ni, V和Zn等元素, 利用水微量元素含量的国家标准来验证结果的准确性, 这两个视角的检测具有较高的准确度和灵敏度。 检测所得结果符合国家环境保护总局发布的饮用水微量元素限制标准, 并符合国际卫生组织的标准, 满足人类所需饮用水标准要求。
Abstract
Inductively Coupled Plasma Atomic Emission Spectrometry (ICP-AES) was applied to rapid detection of the Trace elements (Ar, Ba, Mg, Ni) in drinking water by the three viewings of axial, radial and Synchronous Vertical Dual View (SVDV). For three different viewings, ICP-AES spectrometer is feasible to achieve rapid warm-up (only in 2 minutes). And, the acquired ICP-AES spectra performed well both for the short-term stability and long-term stability, going with a relative standard deviation (RSD) of less than 2%. The target samples were collected from three bottles of commercial drinking water and two spiked drinking water. The elements of As, Ba, Cr, Cu, Mn, Mo, Ni, V, Zn, etc were detected by ICP-AES respectively in the axial and SVDV viewings. The detection accuracy was further verified by China national standards concerning the content of trace elements in drinking water. The axial and SVDV viewings both had high detection accuracy and sensitivity. The detective results meet the standards issued by Ministry of Environmental Protection of China, and go in line with the requirements of World Health Organization (WHO). The observed content of each element did not exceed the upper limits, which indicates that the three target bottles of commercial drinking water and two spiked drinking water were available for humans.

陈华舟, 许丽莉, 蔡肯, 刘振尧, 陈安, 梁园媛. ICP-AES结合SVDV技术应用于饮用水品质检测性能诊断[J]. 光谱学与光谱分析, 2018, 38(5): 1558. CHEN Hua-zhou, XU Li-li, CAI Ken, LIU Zhen-yao, CHEN An, LIANG Yuan-yuan. Performance Diagnosis of ICP-AES Combined with SVDV Technology for Quality Analysis of Drinking Water[J]. Spectroscopy and Spectral Analysis, 2018, 38(5): 1558.

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