Comparison of ultrasonic with stirrer performance for removal of sunset yellow (SY) by activated carbon prepared from wood of orange tree: artificial neural network modeling.
Identifieur interne : 000211 ( PubMed/Corpus ); précédent : 000210; suivant : 000212Comparison of ultrasonic with stirrer performance for removal of sunset yellow (SY) by activated carbon prepared from wood of orange tree: artificial neural network modeling.
Auteurs : A M Ghaedi ; M. Ghaedi ; P. KaramiSource :
- Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy [ 1873-3557 ] ; 2015.
English descriptors
- KwdEn :
- Adsorption, Azo Compounds (chemistry), Azo Compounds (isolation & purification), Charcoal (chemistry), Citrus sinensis (chemistry), Coloring Agents (chemistry), Hydrogen-Ion Concentration, Kinetics, Neural Networks (Computer), Temperature, Time Factors, Ultrasonics (instrumentation), Ultrasonics (methods), Wood (chemistry).
- MESH :
- chemical , chemistry : Azo Compounds, Charcoal, Coloring Agents.
- chemical , isolation & purification : Azo Compounds.
- chemistry : Citrus sinensis, Wood.
- instrumentation : Ultrasonics.
- methods : Ultrasonics.
- Adsorption, Hydrogen-Ion Concentration, Kinetics, Neural Networks (Computer), Temperature, Time Factors.
Abstract
The present work focused on the removal of sunset yellow (SY) dye from aqueous solution by ultrasound-assisted adsorption and stirrer by activated carbon prepared from wood of an orange tree. Also, the artificial neural network (ANN) model was used for predicting removal (%) of SY dye based on experimental data. In this study a green approach was described for the synthesis of activated carbon prepared from wood of an orange tree and usability of it for the removal of sunset yellow. This material was characterized using scanning electron microscopy (SEM) and transmission electron microscopy (TEM). The impact of variables, including initial dye concentration (mg/L), pH, adsorbent dosage (g), sonication time (min) and temperature (°C) on SY removal were studied. Fitting the experimental equilibrium data of different isotherm models such as Langmuir, Freundlich, Temkin and Dubinin-Radushkevich models display the suitability and applicability of the Langmuir model. Analysis of experimental adsorption data by different kinetic models including pseudo-first and second order, Elovich and intraparticle diffusion models indicate the applicability of the second-order equation model. The adsorbent (0.5g) is applicable for successful removal of SY (>98%) in short time (10min) under ultrasound condition.
DOI: 10.1016/j.saa.2014.11.019
PubMed: 25435487
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pubmed:25435487Le document en format XML
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Karami</name><affiliation><nlm:affiliation>Department of Chemistry, Faculty of Science, Gachsaran Branch, Islamic Azad University, P.O. Box 75818-63876, Gachsaran, Iran.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2015">2015</date><idno type="RBID">pubmed:25435487</idno><idno type="pmid">25435487</idno><idno type="doi">10.1016/j.saa.2014.11.019</idno><idno type="wicri:Area/PubMed/Corpus">000211</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Comparison of ultrasonic with stirrer performance for removal of sunset yellow (SY) by activated carbon prepared from wood of orange tree: artificial neural network modeling.</title><author><name sortKey="Ghaedi, A M" sort="Ghaedi, A M" uniqKey="Ghaedi A" first="A M" last="Ghaedi">A M Ghaedi</name><affiliation><nlm:affiliation>Department of Chemistry, Faculty of Science, Gachsaran Branch, Islamic Azad University, P.O. Box 75818-63876, Gachsaran, Iran. Electronic address: abm_ghaedi@yahoo.com.</nlm:affiliation></affiliation></author><author><name sortKey="Ghaedi, M" sort="Ghaedi, M" uniqKey="Ghaedi M" first="M" last="Ghaedi">M. Ghaedi</name><affiliation><nlm:affiliation>Chemistry Department, Yasouj University, Yasouj 75918-74831, Iran. Electronic address: m_ghaedi@mail.yu.ac.ir.</nlm:affiliation></affiliation></author><author><name sortKey="Karami, P" sort="Karami, P" uniqKey="Karami P" first="P" last="Karami">P. Karami</name><affiliation><nlm:affiliation>Department of Chemistry, Faculty of Science, Gachsaran Branch, Islamic Azad University, P.O. Box 75818-63876, Gachsaran, Iran.</nlm:affiliation></affiliation></author></analytic><series><title level="j">Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy</title><idno type="eISSN">1873-3557</idno><imprint><date when="2015" type="published">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adsorption</term><term>Azo Compounds (chemistry)</term><term>Azo Compounds (isolation & purification)</term><term>Charcoal (chemistry)</term><term>Citrus sinensis (chemistry)</term><term>Coloring Agents (chemistry)</term><term>Hydrogen-Ion Concentration</term><term>Kinetics</term><term>Neural Networks (Computer)</term><term>Temperature</term><term>Time Factors</term><term>Ultrasonics (instrumentation)</term><term>Ultrasonics (methods)</term><term>Wood (chemistry)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="chemistry" xml:lang="en"><term>Azo Compounds</term><term>Charcoal</term><term>Coloring Agents</term></keywords><keywords scheme="MESH" type="chemical" qualifier="isolation & purification" xml:lang="en"><term>Azo Compounds</term></keywords><keywords scheme="MESH" qualifier="chemistry" xml:lang="en"><term>Citrus sinensis</term><term>Wood</term></keywords><keywords scheme="MESH" qualifier="instrumentation" xml:lang="en"><term>Ultrasonics</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Ultrasonics</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adsorption</term><term>Hydrogen-Ion Concentration</term><term>Kinetics</term><term>Neural Networks (Computer)</term><term>Temperature</term><term>Time Factors</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The present work focused on the removal of sunset yellow (SY) dye from aqueous solution by ultrasound-assisted adsorption and stirrer by activated carbon prepared from wood of an orange tree. Also, the artificial neural network (ANN) model was used for predicting removal (%) of SY dye based on experimental data. In this study a green approach was described for the synthesis of activated carbon prepared from wood of an orange tree and usability of it for the removal of sunset yellow. This material was characterized using scanning electron microscopy (SEM) and transmission electron microscopy (TEM). The impact of variables, including initial dye concentration (mg/L), pH, adsorbent dosage (g), sonication time (min) and temperature (°C) on SY removal were studied. Fitting the experimental equilibrium data of different isotherm models such as Langmuir, Freundlich, Temkin and Dubinin-Radushkevich models display the suitability and applicability of the Langmuir model. Analysis of experimental adsorption data by different kinetic models including pseudo-first and second order, Elovich and intraparticle diffusion models indicate the applicability of the second-order equation model. The adsorbent (0.5g) is applicable for successful removal of SY (>98%) in short time (10min) under ultrasound condition.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">25435487</PMID><DateCreated><Year>2015</Year><Month>1</Month><Day>13</Day></DateCreated><DateCompleted><Year>2016</Year><Month>01</Month><Day>11</Day></DateCompleted><DateRevised><Year>2015</Year><Month>1</Month><Day>13</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1873-3557</ISSN><JournalIssue CitedMedium="Internet"><Volume>138</Volume><PubDate><Year>2015</Year><Month>Mar</Month><Day>5</Day></PubDate></JournalIssue><Title>Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy</Title><ISOAbbreviation>Spectrochim Acta A Mol Biomol Spectrosc</ISOAbbreviation></Journal><ArticleTitle>Comparison of ultrasonic with stirrer performance for removal of sunset yellow (SY) by activated carbon prepared from wood of orange tree: artificial neural network modeling.</ArticleTitle><Pagination><MedlinePgn>789-99</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.saa.2014.11.019</ELocationID><ELocationID EIdType="pii" ValidYN="Y">S1386-1425(14)01637-0</ELocationID><Abstract><AbstractText>The present work focused on the removal of sunset yellow (SY) dye from aqueous solution by ultrasound-assisted adsorption and stirrer by activated carbon prepared from wood of an orange tree. Also, the artificial neural network (ANN) model was used for predicting removal (%) of SY dye based on experimental data. In this study a green approach was described for the synthesis of activated carbon prepared from wood of an orange tree and usability of it for the removal of sunset yellow. This material was characterized using scanning electron microscopy (SEM) and transmission electron microscopy (TEM). The impact of variables, including initial dye concentration (mg/L), pH, adsorbent dosage (g), sonication time (min) and temperature (°C) on SY removal were studied. Fitting the experimental equilibrium data of different isotherm models such as Langmuir, Freundlich, Temkin and Dubinin-Radushkevich models display the suitability and applicability of the Langmuir model. Analysis of experimental adsorption data by different kinetic models including pseudo-first and second order, Elovich and intraparticle diffusion models indicate the applicability of the second-order equation model. The adsorbent (0.5g) is applicable for successful removal of SY (>98%) in short time (10min) under ultrasound condition.</AbstractText><CopyrightInformation>Copyright © 2014 Elsevier B.V. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Ghaedi</LastName><ForeName>A M</ForeName><Initials>AM</Initials><AffiliationInfo><Affiliation>Department of Chemistry, Faculty of Science, Gachsaran Branch, Islamic Azad University, P.O. Box 75818-63876, Gachsaran, Iran. Electronic address: abm_ghaedi@yahoo.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ghaedi</LastName><ForeName>M</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Chemistry Department, Yasouj University, Yasouj 75918-74831, Iran. Electronic address: m_ghaedi@mail.yu.ac.ir.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Karami</LastName><ForeName>P</ForeName><Initials>P</Initials><AffiliationInfo><Affiliation>Department of Chemistry, Faculty of Science, Gachsaran Branch, Islamic Azad University, P.O. Box 75818-63876, Gachsaran, Iran.</Affiliation></AffiliationInfo></Author></AuthorList><Language>ENG</Language><PublicationTypeList><PublicationType UI="D003160">Comparative Study</PublicationType><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2014</Year><Month>Nov</Month><Day>13</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Spectrochim Acta A Mol Biomol Spectrosc</MedlineTA><NlmUniqueID>9602533</NlmUniqueID><ISSNLinking>1386-1425</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D001391">Azo Compounds</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D004396">Coloring Agents</NameOfSubstance></Chemical><Chemical><RegistryNumber>16291-96-6</RegistryNumber><NameOfSubstance UI="D002606">Charcoal</NameOfSubstance></Chemical><Chemical><RegistryNumber>H77VEI93A8</RegistryNumber><NameOfSubstance UI="C005842">FD & C Yellow No. 6</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000327" MajorTopicYN="N">Adsorption</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D001391" MajorTopicYN="N">Azo Compounds</DescriptorName><QualifierName UI="Q000737" MajorTopicYN="N">chemistry</QualifierName><QualifierName UI="Q000302" MajorTopicYN="Y">isolation & purification</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D002606" MajorTopicYN="N">Charcoal</DescriptorName><QualifierName UI="Q000737" MajorTopicYN="Y">chemistry</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D032084" MajorTopicYN="N">Citrus sinensis</DescriptorName><QualifierName UI="Q000737" MajorTopicYN="Y">chemistry</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D004396" MajorTopicYN="N">Coloring Agents</DescriptorName><QualifierName UI="Q000737" MajorTopicYN="N">chemistry</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006863" MajorTopicYN="N">Hydrogen-Ion Concentration</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007700" MajorTopicYN="N">Kinetics</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D016571" MajorTopicYN="Y">Neural Networks (Computer)</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D013696" MajorTopicYN="N">Temperature</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D013997" MajorTopicYN="N">Time Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014465" MajorTopicYN="N">Ultrasonics</DescriptorName><QualifierName UI="Q000295" MajorTopicYN="Y">instrumentation</QualifierName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D014934" MajorTopicYN="N">Wood</DescriptorName><QualifierName UI="Q000737" MajorTopicYN="Y">chemistry</QualifierName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Activated carbon</Keyword><Keyword MajorTopicYN="N">Artificial neural network</Keyword><Keyword MajorTopicYN="N">Modeling</Keyword><Keyword MajorTopicYN="N">Orange tree</Keyword><Keyword MajorTopicYN="N">Sunset yellow (SY)</Keyword><Keyword MajorTopicYN="N">Ultrasonic</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2014</Year><Month>9</Month><Day>7</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2014</Year><Month>10</Month><Day>26</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2014</Year><Month>11</Month><Day>5</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2014</Year><Month>12</Month><Day>2</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2014</Year><Month>12</Month><Day>2</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2016</Year><Month>1</Month><Day>12</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">25435487</ArticleId><ArticleId IdType="pii">S1386-1425(14)01637-0</ArticleId><ArticleId IdType="doi">10.1016/j.saa.2014.11.019</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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