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Automated Determination of Chromium (VI) in Tannery Effluent Using Flow Injection Analysis with an Optical Flow Cell and Detector

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Abstract

Determination of hexavalent chromium (Cr (VI)) in tannery effluent is an important analytical objective for environmental monitoring and assessment. Here, a simple, accurate, and sensitive automated flow injection analysis (FIA) method is proposed in this paper. The procedure is based on a highly selective reaction between Ponceau S and Cr (VI) under acidic condition. The absorbance of the complex compounds was measured using an optical detector at 505 nm. The chemical factors and FIA variables that affect the system were fully discussed and optimized via univariate experimental design. Under the optimal conditions, a linear dynamic range of 0.1–3.0 mg/L with a satisfactory determination coefficient (R 2) of 0.9996 was obtained. The detection limit and relative standard deviation were 0.08 mg/L and 2.27%, respectively. Finally, the method was successfully applied to determine Cr (VI) in field samples of tannery effluent and the results have no significant difference comparing with one official method, indicating this FIA method could be practically promising for determination of Cr (VI) in tannery effluent.

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Acknowledgements

This work was financially supported by the Ministry of Science and Technology of China (Grant No.2015FY110900).

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Authors and Affiliations

  1. Chinese Research Academy of Environmental Science, State Key Laboratory of Environmental Criteria and Risk Assessment, State Environmental Protection Key Laboratory for Lake Pollution Control, Beijing, 100012, People’s Republic of China

    Fengmei Cao, Fengchang Wu & Shaoyong Lu

  2. China Leather and Footwear Industry Research Institute, Beijing, 100012, People’s Republic of China

    Haiteng Liu

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  1. Fengmei Cao
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  2. Haiteng Liu
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  3. Fengchang Wu
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  4. Shaoyong Lu
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Correspondence to Fengchang Wu or Shaoyong Lu.

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Cao, F., Liu, H., Wu, F. et al. Automated Determination of Chromium (VI) in Tannery Effluent Using Flow Injection Analysis with an Optical Flow Cell and Detector. Water Air Soil Pollut 228, 32 (2017). https://doi.org/10.1007/s11270-016-3162-y

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