Source Journal of CSCD
Source Journal for Chinese Scientific and Technical Papers
Core Journal of RCCSE
Included in JST China
Volume 41 Issue 5
May  2023
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Article Contents
CHEN Acong, WEI Tuo, QIN Zhi, CHEN Yao, XU Rui, WU Haizhen, WEI Chaohai. SHIELDING EFFECT OF ZINC SULFATE ON CYANIDE COMPLEX DURING THIOCYANIDE DETECTION FOR COKING WASTEWATER[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(5): 134-139. doi: 10.13205/j.hjgc.202305018
Citation: CHEN Acong, WEI Tuo, QIN Zhi, CHEN Yao, XU Rui, WU Haizhen, WEI Chaohai. SHIELDING EFFECT OF ZINC SULFATE ON CYANIDE COMPLEX DURING THIOCYANIDE DETECTION FOR COKING WASTEWATER[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(5): 134-139. doi: 10.13205/j.hjgc.202305018

SHIELDING EFFECT OF ZINC SULFATE ON CYANIDE COMPLEX DURING THIOCYANIDE DETECTION FOR COKING WASTEWATER

doi: 10.13205/j.hjgc.202305018
  • Received Date: 2022-08-31
  • Coking wastewater contains a large amount of cyanide (CN-) and thiocyanide (SCN-) and other toxic and harmful pollutants. In the pretreatment process prior to the biological process, generally, ferrous sulfate (FeSO4) was used to coagulate and precipitate sulfide, oil, and suspended matter to reduce the toxicity of wastewater. At the same time, ferrocyanide ([Fe(CN)6]4-) was formed, and then [Fe(CN)6]4- was combined with Fe3+ to form iron ferrocyanide precipitation (Prussian blue, Fe4[Fe(CN)6]3), which interfered with the accuracy of ferric thiocyanate [Fe(SCN)3] spectrophotometric method for SCN- detection. To solve the above problems, it was proposed that zinc sulfate (ZnSO4) should be added to shield excessive [Fe(CN)6]4- before Fe(SCN)3 color development; moreover, the influence of ZnSO4 on the analysis and detection of SCN- was analyzed. The results showed that the Fe(SCN)3-ZnSO4 spectrophotometry could shield the interference of [Fe(CN)6]4- and most metal cyanide complexes in industrial wastewater, so that SCN- can be determined quickly and accurately. The applicable concentration range of this method was 0.2~34.8 mg/L of SCN-, the statistical variance was 1.86%, and the recovery rate was 94%~103%. This method is suitable for multi-point and multi-frequency sampling analysis, and is a novel method for the site monitoring of SCN- in industrial wastewater.
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