journal article·2021-09

Enhanced photocatalytic activity of ZnO/g-C3N4 nanofibers constituting carbonaceous species under simulated sunlight for organic dye removal

Amene Naseri, Morasae Samadi, Ali Pourjavadi, Seeram Ramakrishna, Alireza Z. Moshfegh

Ceramics International· Volume 47· Issue 18
Publisher page

Abstract

Abstract Semiconductor-based photocatalysis is an efficient approach for degradation of organic pollutants. In this context, ZnO/g-C3N4 composite nanofibers containing carbonaceous species with different concentrations of g-C3N4 nanosheets (x = 0.25, 0.5, 1, 2, 10 wt%) noted as ZnO/carbon/(x wt%) g-C3N4 are prepared by electrospinning technique. For preparation of the composite nanofibers, bulk g-C3N4 is exfoliated to nanosheets, and then it is mixed with polyvinyl alcohol and appropriate zinc acetate content followed by electrospinning process. Thermal annealing of the as spun zinc acetate/poly(vinyl alcohol)/g-C3N4 nanosheets sample under N2 atmosphere leads to the formation of carbonaceous species (Zn–O–C) on the hexagonal wurtzite structured ZnO nanofibers. Moreover, the oxygen vacancy formed in the ZnO structure is verified by X-ray photoelectron spectroscopy (XPS) and electron spin resonance (ESR) techniques. The prepared ZnO/carbon/(0.25 wt%) g-C3N4 nanofibers demonstrated the highest photocatalytic degradation rate towards methylene blue (MB) at about 2.5 times (with degradation efficiency of 91.8% after 2 h) higher than the ZnO/carbon under similar conditions. To understand the reason behind the improved photocatalytic activity of ZnO/carbon/g-C3N4 composite nanofibers a mechanism of electron-hole generation, separation and transformation are suggested and a Z-scheme charge transfer approach is proposed.
Source: openaire · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Advanced Photocatalysis Techniques · ZnO doping and properties · Gas Sensing Nanomaterials and Sensors

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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