吸附
光催化
石墨烯
纳米材料
纳米技术
环境修复
氧化物
材料科学
化学
催化作用
污染
有机化学
生态学
生物
作者
Sahil Thakur,Arisha Bi,Sarfaraz Mahmood,Samriti,Olim Ruzimuradov,Rajeev Gupta,Junghyun Cho,Jai Prakash
出处
期刊:Chemosphere
[Elsevier]
日期:2024-03-01
卷期号:352: 141483-141483
被引量:1
标识
DOI:10.1016/j.chemosphere.2024.141483
摘要
Contaminants of emerging concern (CEC) contain a wide range of compounds, such as pharmaceutical waste, pesticides, herbicides, industrial chemicals, organic dyes, etc. Their presence in the surrounding has extensive and multifaceted effects on human health as they have the potential to persist in the environment, accumulate in biota, and disrupt ecosystems. In this regard, various remediation methods involving different kind of functional nanomaterials with unique properties have been developed. The functional nanomaterials can provide several mechanisms for water pollutant removal, such as adsorption, catalysis, and disinfection, in a single platform. Graphene oxide (GO) is a two-dimensional carbon-based material that has an extremely large surface area and a large number of active sites. Recent advances in synthesising GO have shown great progress in tailoring its various physiochemical, optical, surface, structural properties etc., making it better adsorbent and photocatalysts. In this review, sole adsorbent and standalone photocatalytic performances of GO for the removal of CEC have been discussed in light of tailoring its adsorption and photocatalytic properties through novel synthesis routes and optimizing synthesis parameters. This review also examines various models describing the structure of GO and its surface/structural modifications for improved adsorption and photocatalytic properties. The article provides valuable information for the production of efficient and cost-effective GO-based sole adsorbents and photocatalysts as compared to the traditional materials. Furthermore, future prospective and challenges for sole GO nanostructures to compete with traditional adsorbents and photocatalysts have been discussed providing interesting avenues for future research.
科研通智能强力驱动
Strongly Powered by AbleSci AI