Prediction of methyl orange dye (MO) adsorption using activated carbon with an artificial neural network optimization modeling

In this study, methyl orange (MO) dye removal by adsorption utilizing activated carbon made from date seeds (DPAC) was modeled using an artificial neural network (ANN) technique. Instrumental investigations such as X-ray diffraction (XRD), scanning electron microscopy (SEM), and Brunauer-Emmett-Tell...

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Detalles Bibliográficos
Autores principales: Alardhi, Saja Mohsen, Fiyadh, Seef Saadi, Salman, Ali Dawood, Adelikhah, Mohammademad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9868482/
https://www.ncbi.nlm.nih.gov/pubmed/36699265
http://dx.doi.org/10.1016/j.heliyon.2023.e12888

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9868482/
https://www.ncbi.nlm.nih.gov/pubmed/36699265
http://dx.doi.org/10.1016/j.heliyon.2023.e12888

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