Spectroscopy and Spectral Analysis, Volume. 38, Issue 5, 1558(2018)

Performance Diagnosis of ICP-AES Combined with SVDV Technology for Quality Analysis of Drinking Water

CHEN Hua-zhou1,2、*, XU Li-li3, CAI Ken4, LIU Zhen-yao2,5, CHEN An1, and LIANG Yuan-yuan2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • 4[in Chinese]
  • 5[in Chinese]
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    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.

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    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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    Paper Information

    Received: Apr. 21, 2017

    Accepted: --

    Published Online: Jun. 1, 2018

    The Author Email: Hua-zhou CHEN (hzchengut@foxmail.com)

    DOI:10.3964/j.issn.1000-0593(2018)05-1558-05

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