Optimization of As(V) removal by dried bacterial biomass: nonlinear and linear regression analysis for isotherm and kinetic modelling
Arsenic occurrence and toxicity records in various industrial effluents have prompted researchers to find cost-effective, quick, and efficient methods for removing arsenic from the environment. Adsorption of As(V) onto dried bacterial biomass is proposed in the current work, which continues a line o...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI
2022
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| Subjects: | |
| Online Access: | http://eprints.utm.my/103273/1/ShafinazShahir2022_OptimizationofAsVRemovalbyDriedBacterial.pdf |