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 : 000727 ( Main/Exploration ); précédent : 000726; suivant : 000728Comparison 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 [Iran] ; M. Ghaedi [Iran] ; P. Karami [Iran]Source :
- 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
Affiliations:
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Ghaedi</name><affiliation wicri:level="1"><nlm:affiliation>Chemistry Department, Yasouj University, Yasouj 75918-74831, Iran. Electronic address: m_ghaedi@mail.yu.ac.ir.</nlm:affiliation><country xml:lang="fr">Iran</country><wicri:regionArea>Chemistry Department, Yasouj University, Yasouj 75918-74831</wicri:regionArea><wicri:noRegion>Yasouj 75918-74831</wicri:noRegion></affiliation></author><author><name sortKey="Karami, P" sort="Karami, P" uniqKey="Karami P" first="P" last="Karami">P. Karami</name><affiliation wicri:level="1"><nlm:affiliation>Department of Chemistry, Faculty of Science, Gachsaran Branch, Islamic Azad University, P.O. Box 75818-63876, Gachsaran, Iran.</nlm:affiliation><country xml:lang="fr">Iran</country><wicri:regionArea>Department of Chemistry, Faculty of Science, Gachsaran Branch, Islamic Azad University, P.O. 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Box 75818-63876, Gachsaran, Iran. Electronic address: abm_ghaedi@yahoo.com.</nlm:affiliation><country xml:lang="fr">Iran</country><wicri:regionArea>Department of Chemistry, Faculty of Science, Gachsaran Branch, Islamic Azad University, P.O. Box 75818-63876, Gachsaran</wicri:regionArea><wicri:noRegion>Gachsaran</wicri:noRegion></affiliation></author><author><name sortKey="Ghaedi, M" sort="Ghaedi, M" uniqKey="Ghaedi M" first="M" last="Ghaedi">M. Ghaedi</name><affiliation wicri:level="1"><nlm:affiliation>Chemistry Department, Yasouj University, Yasouj 75918-74831, Iran. Electronic address: m_ghaedi@mail.yu.ac.ir.</nlm:affiliation><country xml:lang="fr">Iran</country><wicri:regionArea>Chemistry Department, Yasouj University, Yasouj 75918-74831</wicri:regionArea><wicri:noRegion>Yasouj 75918-74831</wicri:noRegion></affiliation></author><author><name sortKey="Karami, P" sort="Karami, P" uniqKey="Karami P" first="P" last="Karami">P. Karami</name><affiliation wicri:level="1"><nlm:affiliation>Department of Chemistry, Faculty of Science, Gachsaran Branch, Islamic Azad University, P.O. Box 75818-63876, Gachsaran, Iran.</nlm:affiliation><country xml:lang="fr">Iran</country><wicri:regionArea>Department of Chemistry, Faculty of Science, Gachsaran Branch, Islamic Azad University, P.O. Box 75818-63876, Gachsaran</wicri:regionArea><wicri:noRegion>Gachsaran</wicri:noRegion></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><affiliations><list><country><li>Iran</li></country></list><tree><country name="Iran"><noRegion><name sortKey="Ghaedi, A M" sort="Ghaedi, A M" uniqKey="Ghaedi A" first="A M" last="Ghaedi">A M Ghaedi</name></noRegion><name sortKey="Ghaedi, M" sort="Ghaedi, M" uniqKey="Ghaedi M" first="M" last="Ghaedi">M. Ghaedi</name><name sortKey="Karami, P" sort="Karami, P" uniqKey="Karami P" first="P" last="Karami">P. Karami</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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