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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...

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書誌詳細
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
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

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