Research Progress of Intelligent Light-Responsive Graphene Materials in Industrial Wastewater Treatment
DOI:
https://doi.org/10.62051/x5vh8737Keywords:
Graphene; Industrial wastewater; Photocatalysis; S-type heterojunction; Machine learningAbstract
With the rapid advancement of industrialization, the refractory organic pollutants and heavy metal ions contained in industrial wastewater have become a core problem in water environment governance. Both conventional adsorption and conventional semiconductor photocatalytic technologies have obvious limitations in terms of efficiency and sustainability. In recent years, graphene materials have been widely used to construct highly efficient photocatalytic systems due to their excellent electrical and structural properties, and have shown unique advantages in industrial wastewater treatment. This paper systematically reviews the major progress of intelligent photoresponsive graphene materials in recent research, with a focus on their role in S-type heterostructure construction, interfacial electron transport regulation, and the synergistic mechanism of adsorption and photocatalysis coupling. At the same time, the article summarizes typical application scenarios such as smart photoresponsive membrane technology, AI-assisted material screening, and heavy metal reduction-fixation. Based on existing research, this paper further assesses the potential ecological risks of graphene materials and explores the main challenges they face in large-scale preparation and real water treatment. Comprehensive analysis suggests that intelligent design and macroscopic device-ization will be important directions for the future engineering of graphene photocatalytic materials. This review aims to provide references for the research and development of related materials and their environmental applications.
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