Robust ferromagnetism and active visible-near infrared photocatalytic properties: Fe based Mn, Co and Ni codoped CuO nanostructures
Optical Materials, ISSN: 0925-3467, Vol: 112, Page: 110769
2021
- 16Citations
- 6Captures
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Article Description
Herein, we designed compositions with strong ferromagnetic and efficient Vis/NIR photocatalytic properties based on Fe/Mn, Co or Ni codoped CuO nanostructures. Pure CuO, Cu 0.97 Fe 0.03 O, Cu 0.94 Fe 0.03 Mn 0.03 O, Cu 0.94 Fe 0.03 Co 0.03 O and Cu 0.94 Fe 0.03 Ni 0.03 O nanopowders were synthesized by simple and low cost co-precipitation method. The XRD exhibits only the crystallographic planes of monoclinic CuO with reasoning variation tendency of lattice constant due to incorporation of Fe, Mn, Co or Ni ions. The TEM images demonstrate that the large agglomerated nanoparticles of pure CuO are altered to homogenous neighboring nanospherical particles after Fe/Mn, Co or Ni codoping. The binary doping extends the visible light band gap of CuO to more NIR absorption. Excellent intrinsic ferromagnetic hysteresis loop with high saturation magnetization of ~1 emu/g and retentivity of 0.252 emu/g was found in Cu 0.94 Fe 0.03 Mn 0.03 O structure which was attributed to coupling of bound magnetic polarons and Fe 3+ -Fe 3+, Fe 3+ -Mn 2+ and Mn 2+ -Mn 2+ exchange interactions. Cu 0.94 Fe 0.03 Ni 0.03 O catalyst exhibits a strong Vis-NIR photodegradation activity for Congo red (99%) and Crystal violet (97%) dyes due to high separation of photogenerated charge carriers, small particles size (19 nm) and low band gap (1.43 eV).
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0925346720311083; http://dx.doi.org/10.1016/j.optmat.2020.110769; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85098641478&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S0925346720311083; https://api.elsevier.com/content/article/PII:S0925346720311083?httpAccept=text/xml; https://api.elsevier.com/content/article/PII:S0925346720311083?httpAccept=text/plain; https://dul.usage.elsevier.com/doi/; https://dx.doi.org/10.1016/j.optmat.2020.110769
Elsevier BV
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