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使用还原氧化石墨烯和 ZnO 复合材料实现对对硝基苯酚的有效可见光光催化还原。

Effectual visible light photocatalytic reduction of para-nitro phenol using reduced graphene oxide and ZnO composite.

机构信息

Solar Energy Research Group, Environment and Sustainability Institute (ESI), Faculty of Environment, Science and Economy, Penryn Campus, University of Exeter, Cornwall, TR10 9FE, UK.

School of Engineering and Innovation, The Open University, Milton Keynes, MK7 6AA, UK.

出版信息

Sci Rep. 2023 Jun 12;13(1):9521. doi: 10.1038/s41598-023-36574-7.

Abstract

Removing wastewater pollutants using semiconducting-based heterogeneous photocatalysis is an advantageous technique because it provides strong redox power charge carriers under sunlight irradiation. In this study, we synthesized a composite of reduced graphene oxide (rGO) and zinc oxide nanorods (ZnO) called rGO@ZnO. We established the formation of type II heterojunction composites by employing various physicochemical characterization techniques. To evaluate the photocatalytic performance of the synthesized rGO@ZnO composite, we tested it for reducing a common wastewater pollutant, para-nitro phenol (PNP), to para-amino phenol (PAP) under both ultraviolet (UV) and visible light irradiances. The rGO@ZnO (x = 0.5-7 wt%) samples, comprising various weights of rGO, were investigated as potential photocatalysts for the reduction of PNP to PAP under visible light irradiation. Among the samples, rGO@ZnO exhibited remarkable photocatalytic activity, achieving a PNP reduction efficiency of approximately 98% within a short duration of four minutes. These results demonstrate an effective strategy and provide fundamental insights into removing high-value-added organic water pollutants.

摘要

利用基于半导体的非均相光催化去除废水污染物是一种很有优势的技术,因为它在阳光照射下提供了强大的氧化还原电荷载流子。在这项研究中,我们合成了一种还原氧化石墨烯(rGO)和氧化锌纳米棒(ZnO)的复合材料,称为 rGO@ZnO。我们采用各种物理化学特性分析技术来确定复合材料中形成了 II 型异质结。为了评估合成的 rGO@ZnO 复合材料的光催化性能,我们在紫外线(UV)和可见光照射下测试了它将常见的废水污染物对硝基酚(PNP)还原为对氨基酚(PAP)的能力。我们研究了不同 rGO 重量比的 rGO@ZnO(x=0.5-7wt%)样品作为可见光照射下还原 PNP 为 PAP 的潜在光催化剂。结果表明,rGO@ZnO 表现出了显著的光催化活性,在短短四分钟内就实现了约 98%的 PNP 还原效率。这些结果提供了一种有效的策略,为去除高附加值的有机水污染物提供了基本的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b03/10261142/b6669149587f/41598_2023_36574_Fig1_HTML.jpg

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