A
Al Arsh Basheer
Researcher at State University of New York System
Publications - 11
Citations - 2084
Al Arsh Basheer is an academic researcher from State University of New York System. The author has contributed to research in topics: Freundlich equation & Langmuir. The author has an hindex of 9, co-authored 10 publications receiving 1322 citations.
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Health and environmental effects of persistent organic pollutants
TL;DR: In this paper, the authors describe the recent studies on the health and environmental problems due to pollution of persistent organic pollutants (POPs) and future prospectives, convention and regulation, control and removal measures of POPs have also been discussed.
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New generation nano-adsorbents for the removal of emerging contaminants in water
TL;DR: In this paper, the state-of-the-art of the removal of new emerging pollutants using new generation nano-adsorbents by adsorption technology is described and the efforts are made to discuss the sources contamination and toxicities of new emergent pollutants, preparation, characterization and separation of new generation adaption technology.
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Graphene based adsorbents for remediation of noxious pollutants from wastewater.
Imran Ali,Imran Ali,Al Arsh Basheer,Xavier Yangkou Mbianda,Alexander E. Burakov,Evgeny Galunin,I.V. Burakova,E. S. Mkrtchyan,Alexey Tkachev,Vladimir A. Grachev +9 more
TL;DR: The present paper is focused on the remediation of noxious wastes from wastewater using graphene based materials as adsorbents, and it contains all the details on materials - i.e., from their synthesis to application in the field of wastewater treatment (removal of hazardous contaminants of different chemical nature - heavy and rare-earth metal ions, and organic compounds - from wastewater effluents).
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Chemical chiral pollution: Impact on the society and science and need of the regulations in the 21st century.
TL;DR: It is an urgent need of the present 21st century to develop a data bank on the chiral pollutants, guidelines for controlling the production, sale and use of the racemic agrochemicals and the other industrial products.
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Artificial neural network modelling of amido black dye sorption on iron composite nano material: Kinetics and thermodynamics studies
Imran Ali,Imran Ali,Omar M.L. Alharbi,Zeid A. ALOthman,Ahmad Yacine Badjah,Abdulrahman Al-Warthan,Al Arsh Basheer +6 more
TL;DR: In this article, a batch process was proposed for the sorption of amido black dye in water on an iron composite nano material, and the results complied with Langmuir, Freundlich, Temkin and Dubinin-Radushkevich facsimilia.