Optimization of As(V) removal by dried bacterial biomass: nonlinear and linear regression analysis for isotherm and kinetic modelling

• 主要な著者: Altowayti, Wahid Ali Hamood, Salem, Ali Ahmed, Al-Fakih, Abdo Mohammed, Bafaqeer, Abdullah, Shahir, Shafinaz, Tajarudin, Husnul Azan
• フォーマット: 論文
• 言語: English
• 出版事項: MDPI 2022
• 主題: QD Chemistry; TK Electrical engineering. Electronics Nuclear engineering
• オンライン･アクセス: http://eprints.utm.my/103273/1/ShafinazShahir2022_OptimizationofAsVRemovalbyDriedBacterial.pdf; http://eprints.utm.my/103273/; http://dx.doi.org/10.3390/met12101664

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...