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鲁文红, 张利平, 郑丹, 龙佳凤, 郭欢, 张裕曾. 工作场所空气中砷原子荧光光谱法分析方法改进[J]. 中国公共卫生, 2019, 35(3): 378-381. DOI: 10.11847/zgggws1122433
引用本文: 鲁文红, 张利平, 郑丹, 龙佳凤, 郭欢, 张裕曾. 工作场所空气中砷原子荧光光谱法分析方法改进[J]. 中国公共卫生, 2019, 35(3): 378-381. DOI: 10.11847/zgggws1122433
Wen-hong LU, Li-ping ZHANG, Dan ZHENG, . Method improvement on detection of arsenic in workplace air with atomic fluorescence spectrometry[J]. Chinese Journal of Public Health, 2019, 35(3): 378-381. DOI: 10.11847/zgggws1122433
Citation: Wen-hong LU, Li-ping ZHANG, Dan ZHENG, . Method improvement on detection of arsenic in workplace air with atomic fluorescence spectrometry[J]. Chinese Journal of Public Health, 2019, 35(3): 378-381. DOI: 10.11847/zgggws1122433

工作场所空气中砷原子荧光光谱法分析方法改进

Method improvement on detection of arsenic in workplace air with atomic fluorescence spectrometry

  • 摘要:
      目的  对工作场所空气中砷的原子荧光光谱分析方法进行改进。
      方法  以硝酸—高氯酸溶液作为消化体系,在自动控温电热板上280 ℃直接消化处理样品,使用原子荧光光谱仪和标准曲线法对工作场所空气中砷浓度进行测定。
      结果  该方法在0~20 μg/L的砷浓度范围内,标准曲线回归方程为y = 60.660 3x – 16.099 0,相关系数为0.999 5,方法的检出限为0.021 9 μg/L,定量下限为0.073 μg/L,批内精密度(相对标准偏差)为0.51 %~1.02 %,批间精密度为2.25 %~4.38 %,加标回收率为100.36 %~102.35 %。
      结论  该方法具有灵敏、准确、稳定、检出限低、操作简单、耗时短等优点,具有一定推广价值。

     

    Abstract:
      Objective  To improve method for detection of arsenic in workplace air with atomic fluorescence spectrometry.
      Methods  With a nitric acid-perchloric acid solution digestion system, the samples were directly digested at 280 ℃ on an automatic temperature-controlled electric heating plate, and the arsenic in the workplace air samples was determined with standard curve method of atomic fluorescence spectrometer.
      Results  Within the concentration of arsenic ranging from 0 μg/L to 20 μg/L, the regression equation of standard curve was y = 60.660 3x – 16.099 0; the correlation coefficient was 0.999 5; the detection limit of arsenic was 0.021 9 μg/L; the lower limit of quantitation was 0.073 μg/L. Relative standard deviation of precision within a batch was 0.51% – 1.02% and relative standard deviation of inter batches precision was 2.25% – 4.38%. The recovery rate was between 100.36% and 102.35% for the detections.
      Conclusion  The method is accurate and stable, with low detection limit, simple operation and short time consuming, and could be applied in practical detection.

     

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