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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Amirkabir University of Technology</PublisherName>
				<JournalTitle>AUT Journal of Mechanical Engineering</JournalTitle>
				<Issn>2588-2937</Issn>
				<Volume>5</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2021</Year>
					<Month>03</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Arsenic Removal from Aqueous Solutions using Iron Oxide-modified Zeolite: Experimental and Modeling Investigations</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>141</FirstPage>
			<LastPage>152</LastPage>
			<ELocationID EIdType="pii">3859</ELocationID>
			
<ELocationID EIdType="doi">10.22060/ajme.2020.17214.5849</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Leila</FirstName>
					<LastName>Sanaei</LastName>
<Affiliation>Faculty of chemical and petroleum Engineering, University of Tabriz</Affiliation>

</Author>
<Author>
					<FirstName>Maryam</FirstName>
					<LastName>Tahmasebpour</LastName>
<Affiliation>chemical and petroleum engineering, university of Tabriz</Affiliation>

</Author>
<Author>
					<FirstName>Masoumeh</FirstName>
					<LastName>Khatamian</LastName>
<Affiliation>faculty of chemistry, University of Tabriz</Affiliation>

</Author>
<Author>
					<FirstName>Baharak</FirstName>
					<LastName>Divband</LastName>
<Affiliation>faculty of chemistry, university of tabriz</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2019</Year>
					<Month>10</Month>
					<Day>14</Day>
				</PubDate>
			</History>
		<Abstract>Arsenic in drinking water has been recognized as a serious community health problem because of its highly toxic nature and therefore, its removal is considered as one of the most important areas of wastewater treatment. Iron oxide-modified zeolite nanocomposites with two different amounts of iron oxide nanoparticles (3 &amp; 7 wt%) were synthesized, characterized by X-ray diffraction, scanning electron microscope, energy dispersive X-ray, and Brunauer-Emmett-Teller, and then used in a series of batch adsorption experiments to remove arsenic from aqueous system. The effective parameters on the removal of arsenic including adsorbent dose, arsenic initial concentration, contact time, and percentage of iron oxide nanoparticles, were investigated. Under optimum conditions, percentage of iron oxide nanoparticles 3%, adsorbent dose 0.05 g/l, arsenic initial concentration 400 𝜇g/l, and contact time 90 min, the iron oxide-modified zeolite could remove up to 87% of arsenic from contaminated water. The artificial neural network model was also developed from batch experimental data sets which provided reasonable predictive performance (&lt;em&gt;R&lt;/em&gt;&lt;sup&gt;2&lt;/sup&gt;=0.998) of arsenic adsorption. According to the results, iron oxide-modified zeolite appears to be a promising adsorbent for removing arsenic from water.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">arsenic</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Fe3O4–NaA zeolite</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Water-treatment</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">artificial neural network</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ajme.aut.ac.ir/article_3859_7171e95248ff768e1ebee3edde01ea7a.pdf</ArchiveCopySource>
</Article>
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