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Information Journal Paper

Title

Fabrication of intelligent polymeric coating for uranium nuclear decontamination

Pages

  41-49

Abstract

 The decontamination of structures with radioactive substances is one of the most important areas of the environmental chemistry. In this study, an intelligent polymeric coating containing Br-PADAP Detector was made to identify and remove the contaminant containing Uranyl nitrate (UO2(NO3)2. 6H2O). In this study, the effect of pH was investigated for the first time. Also, the parameters of different substrates, Detector concentration, contaminant drying temperature, coating drying temperature, and mechanical properties on the contaminant adsorption were investigated. The results of an evaluation of FT-IR, TGA, and liquid scintillation tests well prove the presence of uranium ions in the coating. The polymer coating containing the EDTA and Br-PADAP Detector becomes purple to brown by absorbing a contaminant solution containing uranium ions. Quantitative evaluation based on image processing methods using MATLAB software also shows a color change. Decontamination factors (DFs) in this coating were shown to be above 97% at 2000 ppm, and higher than previous studies. The polymer solution was obtained with optimal formulation and flexible film.

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  • Cite

    APA: Copy

    Kholqi, S., TORAB MOSTAEDI, M., & Fourati Rad, H.. (2023). Fabrication of intelligent polymeric coating for uranium nuclear decontamination. JOURNAL OF NUCLEAR SCIENCE AND TECHNOLOGY, 43(4 (102) ), 41-49. SID. https://sid.ir/paper/1031534/en

    Vancouver: Copy

    Kholqi S., TORAB MOSTAEDI M., Fourati Rad H.. Fabrication of intelligent polymeric coating for uranium nuclear decontamination. JOURNAL OF NUCLEAR SCIENCE AND TECHNOLOGY[Internet]. 2023;43(4 (102) ):41-49. Available from: https://sid.ir/paper/1031534/en

    IEEE: Copy

    S. Kholqi, M. TORAB MOSTAEDI, and H. Fourati Rad, “Fabrication of intelligent polymeric coating for uranium nuclear decontamination,” JOURNAL OF NUCLEAR SCIENCE AND TECHNOLOGY, vol. 43, no. 4 (102) , pp. 41–49, 2023, [Online]. Available: https://sid.ir/paper/1031534/en

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