Spectroscopy and Spectral Analysis, Volume. 34, Issue 1, 246(2014)

Research on Optimization of Mathematical Model of Flow Injection-Hydride Generation-Atomic Fluorescence Spectrometry

CUI Jian1,2、*, ZHAO Xue-hong1, WANG Yan1, XIAO Ya-bing3, JIANG Xue-hui1, and DAI Li1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    Flow injection-hydride generation-atomic fluorescence spectrometry was a widely used method in the industries of health, environmental, geological and metallurgical fields for the merit of high sensitivity, wide measurement range and fast analytical speed. However, optimization of this method was too difficult as there exist so many parameters affecting the sensitivity and broadening. Generally, the optimal conditions were sought through several experiments. The present paper proposed a mathematical model between the parameters and sensitivity/broadening coefficients using the law of conservation of mass according to the characteristics of hydride chemical reaction and the composition of the system, which was proved to be accurate as comparing the theoretical simulation and experimental results through the test of arsanilic acid standard solution. Finally, this paper has put a relation map between the parameters and sensitivity/broadening coefficients, and summarized that GLS volume, carrier solution flow rate and sample loop volume were the most factors affecting sensitivity and broadening coefficients. Optimizing these three factors with this relation map, the relative sensitivity was advanced by 2.9 times and relative broadening was reduced by 0.76 times. This model can provide a theoretical guidance for the optimization of the experimental conditions.

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    CUI Jian, ZHAO Xue-hong, WANG Yan, XIAO Ya-bing, JIANG Xue-hui, DAI Li. Research on Optimization of Mathematical Model of Flow Injection-Hydride Generation-Atomic Fluorescence Spectrometry[J]. Spectroscopy and Spectral Analysis, 2014, 34(1): 246

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    Paper Information

    Received: Mar. 4, 2013

    Accepted: --

    Published Online: Jan. 27, 2015

    The Author Email: Jian CUI (jiancui@tju.edu.cn)

    DOI:10.3964/j.issn.1000-0593(2014)01-0246-06

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