상하수도학회지 (Journal of Korean Society of Water and Wastewater)

  • 제38권2호
  • /
  • Pages.95-107
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  • 2024
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  • 1225-7672(pISSN)
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  • 2287-822X(eISSN)
대한상하수도학회 (The Korean Society of Water and Wastewater)
권호 표지
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코발트 기반 프러시안블루 유사체를 이용한 수중 암모늄 이온의 선택적 흡착

Selective adsorption of ammonium ion via cobalt-based Prussian blue analogue

  • Tae Hwan Kim (Department of Environmental Engineering, Seoul National University of Science and Technology) ;
  • Narges Dehbashi Nia (Department of Environmental Engineering, Seoul National University of Science and Technology) ;
  • Yeo-Myeong Yun (Department of Environmental Engineering, Chungbuk National University) ;
  • Tae-Hyun Kim (Department of Environmental Engineering, Seoul National University of Science and Technology) ;
  • Yuhoon Hwang (Department of Environmental Engineering, Seoul National University of Science and Technology)
  • 투고 : 2024.02.03
  • 심사 : 2024.03.27
  • 발행 : 2024.04.15
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초록

This study proposes the use of a cobalt-based Prussian blue analogue (Co-PBA; potassium cobalt hexacyanoferrate), as an adsorbent for the cost-effective recovery of aqueous ammonium ions. The characterization of Co-PBA involved various techniques, including Fourier-transform infrared spectroscopy, X-ray diffraction, scanning electron microscopy, nitrogen adsorption-desorption analysis, and zeta potential. The prepared Co-PBA reached an adsorption equilibrium for ammonium ions within approximately 480 min, which involved both surface adsorption and subsequent diffusion into the interior. The isotherm experiment revealed a maximum adsorption capacity of 37.29 mg/g, with the Langmuir model indicating a predominance of chemical monolayer adsorption. Furthermore, the material consistently demonstrated adsorption efficiency across a range of pH conditions. Notably, adsorption was observed even when competing cations were present. Co-PBA emerges as a readily synthesized adsorbent, underscoring its efficacy in ammonium removal and selectivity toward ammonium.

키워드

과제정보

이 연구는 농촌진흥청 연구사업(PJ017005) 및 교육부 대학중점연구소지원사업 (2020R1A6A1A03042742)의 지원에 의해 수행되었습니다.

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