Advanced removal of butylparaben from aqueous solutions using magnetic molybdenum disulfide nanocomposite modified with chitosan/beta-cyclodextrin and parametric evaluation through sequential multi-objective machine learning algorithms

Advanced removal of butylparaben from aqueous solutions using magnetic molybdenum disulfide nanocomposite modified with chitosan/beta-cyclodextrin and parametric evaluation through sequential multi-objective machine learning algorithms

The research examines the efficient butylparaben (BUP) elimination process from aqueous media through beta-cyclodextrin/chitosan-modified magnetic molybdenum disulfide nanocomposite (BCCMM) utilization. A multi-algorithmic approach involving Gradient Boosting Regression (GBR), Polynomial Regression...

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Bibliographic Details
Main Authors: Saeed Hosseinpour, Alieh Rezagholizade-shirvan, Mohammad Golaki, Amir Mohammadi, Amir Sheikhmohammadi, Zahra Atafar
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Results in Engineering
Subjects:
Butylparaben removal
Magnetic MoS₂ nanocomposite
Chitosan modification
Machine learning optimization
Aqueous solution treatment
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123025013179
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