Biosorption of methylene blue by bone meal: experimental and modeling with machine learning and full factorial design

Biosorption of methylene blue by bone meal: experimental and modeling with machine learning and full factorial design

Sorption technologies have been proposed for the treatment of water containing methylene blue (MB), a toxic and persistent pollutant. Despite its environmental risks, the role of process variables in MB removal has not been fully explored through experimental design. The objective of this study is t...

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Bibliographic Details
Main Authors: Leandro Goulart de Araujo, Gabriel Fuitem Martins, Alexssandra Andrea Antunes Campera, Júlio Takehiro Marumo, Sabine Neusatz Guilhen
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-09-01
Series:Frontiers in Environmental Chemistry
Subjects:
adsorption
dyes
experimental design
low-cost biosorbents
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fenvc.2024.1451051/full

Internet

https://www.frontiersin.org/articles/10.3389/fenvc.2024.1451051/full

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