Machine learning and statistical physics modeling of tetracycline adsorption using activated carbon derived from Cynometra ramiflora fruit biomass-Reference-Cited by-同舟云学术

Machine learning and statistical physics modeling of tetracycline adsorption using activated carbon derived from Cynometra ramiflora fruit biomass

Published:2024-07 Issue: Volume:252 Page:118816
ISSN:0013-9351
Container-title:Environmental Research
language:en
Short-container-title:Environmental Research

Author:

Selvaraj Raja,Jogi Sanjana,Murugesan Gokulakrishnan,Srinivasan N.R.,Goveas Louella Concepta,Varadavenkatesan Thivaharan,Samanth Adithya,Vinayagam Ramesh,Ali Alshehri Mohammed,Pugazhendhi Arivalagan

Publisher

Elsevier BV

Reference40 articles.

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2. Environmental fate of tetracycline antibiotics: degradation pathway mechanisms, challenges, and perspectives;Ahmad;Environ. Sci. Eur.,2021

3. Modelling and optimization of crude oil removal from surface water via organic acid functionalized biomass using machine learning approach;Asadu;Arab. J. Chem.,2022

4. Adsorption of antibiotics by bentonite-chitosan composite: phenomenological modeling and physical investigation of the adsorption process;Bouaziz;Int. J. Biol. Macromol.,2023

5. Efficient removal of tetracycline from water by tannic acid-modified rice straw-derived biochar:Kinetics and mechanisms;Chen;J. Mol. Liq.,2021

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