废水
污水处理
水处理
环境科学
人工智能
生化工程
工程类
计算机科学
环境工程
作者
Carolina L. Recio-Colmenares,Jean Flores‐Gómez,Juan Morales‐Rivera,Hasbleidy Palacios-Hinestroza,Belkis Sulbarán-Rangel
出处
期刊:Processes
[Multidisciplinary Digital Publishing Institute]
日期:2025-02-17
卷期号:13 (2): 566-566
被引量:7
摘要
Green materials are emerging as sustainable alternatives in water and wastewater treatment. Due to their biodegradability, renewable origin and low toxicity characteristics, green materials are an alternative to conventional synthetic materials. Green materials include nanomaterials of natural origin, biopolymers and composites that optimize the adsorption and removal of contaminants. The applications of cellulose nanofibers, alginates, chitosan and lignin stand out, as well as functionalized hydrogels and aerogels for the removal of heavy metals, dyes and organic contaminants. The analysis of the mechanisms and processes of contaminant removal and modeling and optimization techniques are included as key emerging tools for the design and optimization of these materials, allowing one to predict properties, simulate interactions and customize solutions. Despite the sustainability benefits of green materials, they face technical and economic challenges, such as scalability, synthesis costs and experimental validation. This work concluded that green materials, combined with modeling and optimization tools, are essential to move towards more sustainable, efficient and environmentally friendly water treatment technologies, aligned with global objectives of sustainable development and climate change mitigation.
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