Processes, Vol. 13, Pages 566: Green Materials for Water and Wastewater Treatment: Mechanisms and Artificial Intelligence

Processes, Vol. 13, Pages 566: Green Materials for Water and Wastewater Treatment: Mechanisms and Artificial Intelligence

Processes, Vol. 13, Pages 566: Green Materials for Water and Wastewater Treatment: Mechanisms and Artificial Intelligence

Processes doi: 10.3390/pr13020566

Authors:
Carolina Livier Recio-Colmenares
Jean Flores-Gómez
Juan Pablo Morales Rivera
Hasbleidy Palacios Hinestroza
Belkis Sulbarán-Rangel

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.

February 17, 2025 at 12:29PM
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Carolina Livier Recio-Colmenares