The removal of methylene blue from aqueous solutions by polyethylene microplastics: Modeling batch adsorption using random forest regression

The removal of methylene blue from aqueous solutions by polyethylene microplastics: Modeling batch adsorption using random forest regression

In light of the extensive contamination of water sources by microplastics, their substantial specific surface area makes them favorable candidates as adsorbents for the simultaneous removal of coexisting contaminants in wastewater. In this regard, polyethylene microplastics were utilized to eliminat...

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Bibliographic Details
Main Authors: Mehdi Bahrami, Mohammad Javad Amiri, Sara Rajabi, Mohamadreza Mahmoudi
Format: Article
Language:English
Published: Elsevier 2024-05-01
Series:Alexandria Engineering Journal
Subjects:
Batch adsorption
Methylene blue
Microplastics
Random Forest regression
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016824003545

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