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Predicting adsorption capacities of pharmaceutical pollutants using chemoinformatics and machine learning techniques

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Year: 2025
Type: article
Source: Environmental Geochemistry and Health
DOI: 10.1007/s10653-025-02934-7
Authors: Hakim Bouzemlal, Mohamed Hentabli, Maamar Laidi, Ykhlef Laidani, Mohamed Kouider Amar, Abdellah Ibrir, Jie Zhang
Institutions: University Yahia Fares of Medea, Hassiba Benbouali University of Chlef, University of Blida, Newcastle University
Language: English

Topic: Adsorption and biosorption for pollutant removal
Subfield: Water Science and Technology
Field: Environmental Science
Domain: Physical Sciences
SDGs: Clean water and sanitation, Good health and well-being

Open Access status: green
OpenAlex ID: W4417198146
FWCI: 0.254
Cites: 23
Cited by: 1
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