Towards Understanding Aerogels’ Efficiency for Oil Removal—A Principal Component Analysis Approach

Towards Understanding Aerogels’ Efficiency for Oil Removal—A Principal Component Analysis Approach

In this study, our aim was to estimate the adsorption potential of three families of aerogels: nanocellulose (NC), chitosan (CS), and graphene (G) oxide-based aerogels. The emphasized efficiency to seek here concerns oil and organic contaminant removal. In order to achieve this goal, principal compo...

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Bibliographic Details
Main Authors: Khaled Younes, Mayssara Antar, Hamdi Chaouk, Yahya Kharboutly, Omar Mouhtady, Emil Obeid, Eddie Gazo Hanna, Jalal Halwani, Nimer Murshid
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Gels
Subjects:
aerogel
machine learning
oil removal
principal component analysis
sustainability
unsupervised learning
Online Access:https://www.mdpi.com/2310-2861/9/6/465

Internet

https://www.mdpi.com/2310-2861/9/6/465

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