Effective adsorption of metolachlor herbicide by MIL-53(Al) metal-organic framework: Optimization, validation and molecular docking simulation studies
Effective removal and optimization models of metolachlor (MET) adsorption was carried out using MIL-53(Al) metal�organic framework (MOF), response surface methodology (RSM), artificial neural network (ANN) and molecular docking simulation. The MOF was hydrothermally synthesized and characterized u...
Saved in:
Main Authors: | Ahmad Isiyaka, H., Jumbri, K., Soraya Sambudi, N., Uba Zango, Z., Ain Fathihah Binti Abdullah, N., Saad, B. |
---|---|
Format: | Article |
Published: |
Elsevier B.V.
2022
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125660555&doi=10.1016%2fj.enmm.2022.100663&partnerID=40&md5=bf942343eb945d1de9808208385ed60f http://eprints.utp.edu.my/28804/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Effective adsorption of metolachlor herbicide by MIL-53(Al) metal-organic framework: Optimization, validation and molecular docking simulation studies
by: Ahmad Isiyaka, H., et al.
Published: (2022) -
Effective adsorption of metolachlor herbicide by MIL-53(Al) metal-organic framework: Optimization, validation and molecular docking simulation studies
by: Ahmad Isiyaka, H., et al.
Published: (2022) -
Effective adsorption of metolachlor herbicide by MIL-53(Al) metal-organic framework: Optimization, validation and molecular docking simulation studies
by: Ahmad Isiyaka, H., et al.
Published: (2022) -
Adsorption and Artificial Neural Network Modelling of Metolachlor Removal by MIL-53(Al) Metal-Organic Framework
by: Isiyaka, H.A., et al.
Published: (2021) -
Optimizations and docking simulation study for metolachlor adsorption from water onto MIL-101(Cr) metal�organic framework
by: Isiyaka, H.A., et al.
Published: (2022)