Forecasting the multicomponent adsorption of nimesulide and paracetamol through artificial neural network-Reference-Cited by-同舟云学术

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Forecasting the multicomponent adsorption of nimesulide and paracetamol through artificial neural network

Published:2021-05 Issue: Volume:412 Page:127527
ISSN:1385-8947
Container-title:Chemical Engineering Journal
language:en
Short-container-title:Chemical Engineering Journal

Author:

Pauletto P.S.,Lütke S.F.,Dotto G.L.,Salau N.P.G.

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,Environmental Chemistry,General Chemistry

Reference64 articles.

1. Prediction of adsorption properties for ionic and neutral pharmaceuticals and pharmaceutical intermediates on activated charcoal from aqueous solution via LFER model;Zhao;Chem. Eng. J.,2019

2. Emerging pollutants in the urban water cycle in Latin America: a review of the current literature;Peña-Guzmán;J. Environ. Manage.,2019

3. Photolysis and photocatalysis of the non-steroidal anti-inflammatory drug Nimesulide under simulated solar irradiation: Kinetic studies, transformation products and toxicity assessment;Koltsakidou;Sci. Total Environ.,2019

4. KOH-super activated carbon from biomass waste: insights into the paracetamol adsorption mechanism and thermal regeneration cycles;Spessato;J. Hazard. Mater.,2019

5. Optimization of nimesulide oxidation via a UV-ABC/H2O2 treatment process: degradation products, ecotoxicological effects, and their dependence on the water matrix;Antonio da Silva;Chemosphere,2018

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