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Process optimization and enhancement of pesticide adsorption by porous adsorbents by regression analysis and parametric modelling.
Dehghani, Mohammad Hadi; Hassani, Amir Hessam; Karri, Rama Rao; Younesi, Bahareh; Shayeghi, Mansoureh; Salari, Mehdi; Zarei, Ahmad; Yousefi, Mahmood; Heidarinejad, Zoha.
Afiliación
  • Dehghani MH; Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran. hdehghani@tums.ac.ir.
  • Hassani AH; Center for Solid Waste Research, Institute for Environmental Research, Tehran University of Medical Sciences, Tehran, Iran. hdehghani@tums.ac.ir.
  • Karri RR; Department of Environmental Engineering, Faculty of Environment and Energy, Science and Research Branch, Islamic Azad University, Tehran, Iran.
  • Younesi B; Petroleum and Chemical Engineering, Faculty of Engineering, Universiti Teknologi Brunei, Bandar Seri Begawan, Brunei Darussalam.
  • Shayeghi M; Department of Environmental Engineering, Faculty of Environment and Energy, Science and Research Branch, Islamic Azad University, Tehran, Iran. b_unesei@yahoo.com.
  • Salari M; Department of Medical Entomology and Vector Control, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
  • Zarei A; Student Research Committee, Department of Environmental Health Engineering, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
  • Yousefi M; Department of Environmental Health Engineering, School of Health, Social Determinants of Health Research Center, Gonabad University of Medical Sciences, Gonabad, Iran.
  • Heidarinejad Z; Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Sci Rep ; 11(1): 11719, 2021 06 03.
Article en En | MEDLINE | ID: mdl-34083608
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sci Rep Año: 2021 Tipo del documento: Article País de afiliación: Irán
Texto completo
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sci Rep Año: 2021 Tipo del documento: Article País de afiliación: Irán