Advanced Simulation of Removing Chromium from a Synthetic Wastewater by Rhamnolipidic Bioflotation Using Hybrid Neural Networks with Metaheuristic Algorithms

This work aims at presenting an advanced simulation approach for a novel rhamnolipidic-based bioflotation process to remove chromium from wastewater. For this purpose, the significance of key influential operating variables including initial solution pH (2, 4, 6, 8, 10 and 12), rhamnolipid to chromi...

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Detalles Bibliográficos
Autores principales: Khoshdast, Hamid, Gholami, Alireza, Hassanzadeh, Ahmad, Niedoba, Tomasz, Surowiak, Agnieszka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8199015/
https://www.ncbi.nlm.nih.gov/pubmed/34072118
http://dx.doi.org/10.3390/ma14112880

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8199015/
https://www.ncbi.nlm.nih.gov/pubmed/34072118
http://dx.doi.org/10.3390/ma14112880

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