Investigation of comparative machine learning models in effluent dephenolization process onto H3PO4-anchored corn cob

Investigation of comparative machine learning models in effluent dephenolization process onto H3PO4-anchored corn cob

The objective of the present study is to investigate the application of artificial intelligence tools in dephenolization of simulated wastewater. The adsorbent was waste corncob activated and impregnated with tetraoxophosphate V acid (H3PO4). The adsorbent was characterized via SEM and FTIR analysis...

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Bibliographic Details
Main Authors: Chijioke Elijah Onu, Joseph Tagbo Nwabanne, Ositadimma Chamberline Iheanocho, Paschal Enyinnaya Ohale, Chiamaka Peace Onu, Marcel Ikenna Ejimofor, Suraj Kumar Bhagat, Christian O. Asadu, Christopher C. Obi, Chidiogo Ezekwem
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Results in Surfaces and Interfaces
Subjects:
Adsorption
Artificial intelligence
Corn cob
Phenol
Point of zero charge
Regeneration
Online Access:http://www.sciencedirect.com/science/article/pii/S2666845925000078
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