Loading…

Novel rice husk ash - reduced graphene oxide nanocomposite catalysts for solvent free Biginelli reaction with a statistical approach for the optimization of reaction parameters

Here we report the preparation of novel rice husk ash – reduced graphene oxide nanocomposites and their catalytic application in Biginelli reaction. Hydrothermal treatment is given to a mixture of rice husk ash and graphene oxide for the formation of a uniform composite. XRD and FTIR spectral analys...

Full description

Saved in:
Bibliographic Details
Published in:Materials chemistry and physics 2019-01, Vol.222, p.63-74
Main Authors: Narayanan, Divya P., Sankaran, Sugunan, Narayanan, Binitha N.
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c349t-f49714852fff42e209267cc0e5cf9acaebdc85366deabae32054d569bbda183e3
cites cdi_FETCH-LOGICAL-c349t-f49714852fff42e209267cc0e5cf9acaebdc85366deabae32054d569bbda183e3
container_end_page 74
container_issue
container_start_page 63
container_title Materials chemistry and physics
container_volume 222
creator Narayanan, Divya P.
Sankaran, Sugunan
Narayanan, Binitha N.
description Here we report the preparation of novel rice husk ash – reduced graphene oxide nanocomposites and their catalytic application in Biginelli reaction. Hydrothermal treatment is given to a mixture of rice husk ash and graphene oxide for the formation of a uniform composite. XRD and FTIR spectral analyses confirmed the partial reduction of graphene oxide in the nanocomposites during hydrothermal treatment. The binding between rice husk silica particles and graphene sheets through SiOC bonding is revealed from XPS analysis. Graphene is found to be less defective in nature in the composite as evident from the reduced ID/IG value in the Raman spectrum. SEM and TEM images showed the effective dispersion of rice husk SiO2 particles on the wrinkled graphene layers. Present study also exploited the use of a statistical model, response surface methodology, for the optimization of reaction parameters on the catalytic synthesis of dihydropyrimidinones via multicomponent solvent free Biginelli reaction. The cost effective highly efficient rice husk ash - reduced graphene oxide catalyst is found to be reusable till 7 repeated cycles with only about 4% reduction of its initial activity. A facile synthesis of novel rice husk ash – reduced graphene oxide nanocomposite is achieved and its catalytic activity is evaluated in the multicomponent Biginelli reaction with statistical optimization for the optimization of reaction parameters. [Display omitted] •A highly efficient novel heterogeneous catalyst for the multicomponent Biginelli reaction is prepared from rice husk ash and graphene oxide.•Present study exploited the use of experimental design, Box-Behnken to optimize the effect of reaction parameters with restricted number of experiments.•Novel catalyst prepared using 10 wt% GO sheets were found to be highly reusable while retaining the structure even after 7 repeated runs.
doi_str_mv 10.1016/j.matchemphys.2018.09.078
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2159257939</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0254058418308381</els_id><sourcerecordid>2159257939</sourcerecordid><originalsourceid>FETCH-LOGICAL-c349t-f49714852fff42e209267cc0e5cf9acaebdc85366deabae32054d569bbda183e3</originalsourceid><addsrcrecordid>eNqNkc1u1DAUhS1EJYbSdzBineCfOImXMOJPqmBD19Yd57rxkMTB9gydPhWPiNtBoktWd3O-c-69h5DXnNWc8fbtvp4h2xHndTylWjDe10zXrOufkQ3vO11JycVzsmFCNRVTffOCvExpzxjvOJcb8vtrOOJEo7dIx0P6QSGNtKIRh4PFgd5GWEdckIY7PyBdYAk2zGtIPiO1kGE6pZyoC5GmMB1xydRFRPre3_oFp8kXJ7DZh4X-8nmkQFOG7FP2FiYK6xoD2PGRz2NJWbOf_T08AsH9g1eIMGPGmF6RCwdTwqu_85LcfPzwffu5uv726cv23XVlZaNz5Rrd8aZXwjnXCBRMi7azlqGyToMF3A22V7JtB4QdoBRMNYNq9W43AO8lykvy5uxbVvx5wJTNPhziUiKN4EoL1Wmpi0qfVTaGlCI6s0Y_QzwZzsxDQWZvnhRkHgoyTJtSUGG3ZxbLGUeP0STrcSlv9xFtNkPw_-HyB7m7pgI</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2159257939</pqid></control><display><type>article</type><title>Novel rice husk ash - reduced graphene oxide nanocomposite catalysts for solvent free Biginelli reaction with a statistical approach for the optimization of reaction parameters</title><source>ScienceDirect Freedom Collection 2022-2024</source><creator>Narayanan, Divya P. ; Sankaran, Sugunan ; Narayanan, Binitha N.</creator><creatorcontrib>Narayanan, Divya P. ; Sankaran, Sugunan ; Narayanan, Binitha N.</creatorcontrib><description>Here we report the preparation of novel rice husk ash – reduced graphene oxide nanocomposites and their catalytic application in Biginelli reaction. Hydrothermal treatment is given to a mixture of rice husk ash and graphene oxide for the formation of a uniform composite. XRD and FTIR spectral analyses confirmed the partial reduction of graphene oxide in the nanocomposites during hydrothermal treatment. The binding between rice husk silica particles and graphene sheets through SiOC bonding is revealed from XPS analysis. Graphene is found to be less defective in nature in the composite as evident from the reduced ID/IG value in the Raman spectrum. SEM and TEM images showed the effective dispersion of rice husk SiO2 particles on the wrinkled graphene layers. Present study also exploited the use of a statistical model, response surface methodology, for the optimization of reaction parameters on the catalytic synthesis of dihydropyrimidinones via multicomponent solvent free Biginelli reaction. The cost effective highly efficient rice husk ash - reduced graphene oxide catalyst is found to be reusable till 7 repeated cycles with only about 4% reduction of its initial activity. A facile synthesis of novel rice husk ash – reduced graphene oxide nanocomposite is achieved and its catalytic activity is evaluated in the multicomponent Biginelli reaction with statistical optimization for the optimization of reaction parameters. [Display omitted] •A highly efficient novel heterogeneous catalyst for the multicomponent Biginelli reaction is prepared from rice husk ash and graphene oxide.•Present study exploited the use of experimental design, Box-Behnken to optimize the effect of reaction parameters with restricted number of experiments.•Novel catalyst prepared using 10 wt% GO sheets were found to be highly reusable while retaining the structure even after 7 repeated runs.</description><identifier>ISSN: 0254-0584</identifier><identifier>EISSN: 1879-3312</identifier><identifier>DOI: 10.1016/j.matchemphys.2018.09.078</identifier><language>eng</language><publisher>Lausanne: Elsevier B.V</publisher><subject>Ashes ; Biginelli reaction ; Catalysis ; Catalysts ; Chemical reactions ; Chemical synthesis ; Graphene ; Hydrothermal treatment ; Nanocomposite ; Nanocomposites ; Optimization ; Parameters ; Reduction ; Response surface methodology ; Rice husk ash ; Silicon dioxide ; Solvents ; Statistical models ; Statistical optimization ; Temperature effects ; X ray photoelectron spectroscopy</subject><ispartof>Materials chemistry and physics, 2019-01, Vol.222, p.63-74</ispartof><rights>2018 Elsevier B.V.</rights><rights>Copyright Elsevier BV Jan 15, 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c349t-f49714852fff42e209267cc0e5cf9acaebdc85366deabae32054d569bbda183e3</citedby><cites>FETCH-LOGICAL-c349t-f49714852fff42e209267cc0e5cf9acaebdc85366deabae32054d569bbda183e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Narayanan, Divya P.</creatorcontrib><creatorcontrib>Sankaran, Sugunan</creatorcontrib><creatorcontrib>Narayanan, Binitha N.</creatorcontrib><title>Novel rice husk ash - reduced graphene oxide nanocomposite catalysts for solvent free Biginelli reaction with a statistical approach for the optimization of reaction parameters</title><title>Materials chemistry and physics</title><description>Here we report the preparation of novel rice husk ash – reduced graphene oxide nanocomposites and their catalytic application in Biginelli reaction. Hydrothermal treatment is given to a mixture of rice husk ash and graphene oxide for the formation of a uniform composite. XRD and FTIR spectral analyses confirmed the partial reduction of graphene oxide in the nanocomposites during hydrothermal treatment. The binding between rice husk silica particles and graphene sheets through SiOC bonding is revealed from XPS analysis. Graphene is found to be less defective in nature in the composite as evident from the reduced ID/IG value in the Raman spectrum. SEM and TEM images showed the effective dispersion of rice husk SiO2 particles on the wrinkled graphene layers. Present study also exploited the use of a statistical model, response surface methodology, for the optimization of reaction parameters on the catalytic synthesis of dihydropyrimidinones via multicomponent solvent free Biginelli reaction. The cost effective highly efficient rice husk ash - reduced graphene oxide catalyst is found to be reusable till 7 repeated cycles with only about 4% reduction of its initial activity. A facile synthesis of novel rice husk ash – reduced graphene oxide nanocomposite is achieved and its catalytic activity is evaluated in the multicomponent Biginelli reaction with statistical optimization for the optimization of reaction parameters. [Display omitted] •A highly efficient novel heterogeneous catalyst for the multicomponent Biginelli reaction is prepared from rice husk ash and graphene oxide.•Present study exploited the use of experimental design, Box-Behnken to optimize the effect of reaction parameters with restricted number of experiments.•Novel catalyst prepared using 10 wt% GO sheets were found to be highly reusable while retaining the structure even after 7 repeated runs.</description><subject>Ashes</subject><subject>Biginelli reaction</subject><subject>Catalysis</subject><subject>Catalysts</subject><subject>Chemical reactions</subject><subject>Chemical synthesis</subject><subject>Graphene</subject><subject>Hydrothermal treatment</subject><subject>Nanocomposite</subject><subject>Nanocomposites</subject><subject>Optimization</subject><subject>Parameters</subject><subject>Reduction</subject><subject>Response surface methodology</subject><subject>Rice husk ash</subject><subject>Silicon dioxide</subject><subject>Solvents</subject><subject>Statistical models</subject><subject>Statistical optimization</subject><subject>Temperature effects</subject><subject>X ray photoelectron spectroscopy</subject><issn>0254-0584</issn><issn>1879-3312</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNqNkc1u1DAUhS1EJYbSdzBineCfOImXMOJPqmBD19Yd57rxkMTB9gydPhWPiNtBoktWd3O-c-69h5DXnNWc8fbtvp4h2xHndTylWjDe10zXrOufkQ3vO11JycVzsmFCNRVTffOCvExpzxjvOJcb8vtrOOJEo7dIx0P6QSGNtKIRh4PFgd5GWEdckIY7PyBdYAk2zGtIPiO1kGE6pZyoC5GmMB1xydRFRPre3_oFp8kXJ7DZh4X-8nmkQFOG7FP2FiYK6xoD2PGRz2NJWbOf_T08AsH9g1eIMGPGmF6RCwdTwqu_85LcfPzwffu5uv726cv23XVlZaNz5Rrd8aZXwjnXCBRMi7azlqGyToMF3A22V7JtB4QdoBRMNYNq9W43AO8lykvy5uxbVvx5wJTNPhziUiKN4EoL1Wmpi0qfVTaGlCI6s0Y_QzwZzsxDQWZvnhRkHgoyTJtSUGG3ZxbLGUeP0STrcSlv9xFtNkPw_-HyB7m7pgI</recordid><startdate>20190115</startdate><enddate>20190115</enddate><creator>Narayanan, Divya P.</creator><creator>Sankaran, Sugunan</creator><creator>Narayanan, Binitha N.</creator><general>Elsevier B.V</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>L7M</scope></search><sort><creationdate>20190115</creationdate><title>Novel rice husk ash - reduced graphene oxide nanocomposite catalysts for solvent free Biginelli reaction with a statistical approach for the optimization of reaction parameters</title><author>Narayanan, Divya P. ; Sankaran, Sugunan ; Narayanan, Binitha N.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c349t-f49714852fff42e209267cc0e5cf9acaebdc85366deabae32054d569bbda183e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Ashes</topic><topic>Biginelli reaction</topic><topic>Catalysis</topic><topic>Catalysts</topic><topic>Chemical reactions</topic><topic>Chemical synthesis</topic><topic>Graphene</topic><topic>Hydrothermal treatment</topic><topic>Nanocomposite</topic><topic>Nanocomposites</topic><topic>Optimization</topic><topic>Parameters</topic><topic>Reduction</topic><topic>Response surface methodology</topic><topic>Rice husk ash</topic><topic>Silicon dioxide</topic><topic>Solvents</topic><topic>Statistical models</topic><topic>Statistical optimization</topic><topic>Temperature effects</topic><topic>X ray photoelectron spectroscopy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Narayanan, Divya P.</creatorcontrib><creatorcontrib>Sankaran, Sugunan</creatorcontrib><creatorcontrib>Narayanan, Binitha N.</creatorcontrib><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Materials chemistry and physics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Narayanan, Divya P.</au><au>Sankaran, Sugunan</au><au>Narayanan, Binitha N.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Novel rice husk ash - reduced graphene oxide nanocomposite catalysts for solvent free Biginelli reaction with a statistical approach for the optimization of reaction parameters</atitle><jtitle>Materials chemistry and physics</jtitle><date>2019-01-15</date><risdate>2019</risdate><volume>222</volume><spage>63</spage><epage>74</epage><pages>63-74</pages><issn>0254-0584</issn><eissn>1879-3312</eissn><abstract>Here we report the preparation of novel rice husk ash – reduced graphene oxide nanocomposites and their catalytic application in Biginelli reaction. Hydrothermal treatment is given to a mixture of rice husk ash and graphene oxide for the formation of a uniform composite. XRD and FTIR spectral analyses confirmed the partial reduction of graphene oxide in the nanocomposites during hydrothermal treatment. The binding between rice husk silica particles and graphene sheets through SiOC bonding is revealed from XPS analysis. Graphene is found to be less defective in nature in the composite as evident from the reduced ID/IG value in the Raman spectrum. SEM and TEM images showed the effective dispersion of rice husk SiO2 particles on the wrinkled graphene layers. Present study also exploited the use of a statistical model, response surface methodology, for the optimization of reaction parameters on the catalytic synthesis of dihydropyrimidinones via multicomponent solvent free Biginelli reaction. The cost effective highly efficient rice husk ash - reduced graphene oxide catalyst is found to be reusable till 7 repeated cycles with only about 4% reduction of its initial activity. A facile synthesis of novel rice husk ash – reduced graphene oxide nanocomposite is achieved and its catalytic activity is evaluated in the multicomponent Biginelli reaction with statistical optimization for the optimization of reaction parameters. [Display omitted] •A highly efficient novel heterogeneous catalyst for the multicomponent Biginelli reaction is prepared from rice husk ash and graphene oxide.•Present study exploited the use of experimental design, Box-Behnken to optimize the effect of reaction parameters with restricted number of experiments.•Novel catalyst prepared using 10 wt% GO sheets were found to be highly reusable while retaining the structure even after 7 repeated runs.</abstract><cop>Lausanne</cop><pub>Elsevier B.V</pub><doi>10.1016/j.matchemphys.2018.09.078</doi><tpages>12</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0254-0584
ispartof Materials chemistry and physics, 2019-01, Vol.222, p.63-74
issn 0254-0584
1879-3312
language eng
recordid cdi_proquest_journals_2159257939
source ScienceDirect Freedom Collection 2022-2024
subjects Ashes
Biginelli reaction
Catalysis
Catalysts
Chemical reactions
Chemical synthesis
Graphene
Hydrothermal treatment
Nanocomposite
Nanocomposites
Optimization
Parameters
Reduction
Response surface methodology
Rice husk ash
Silicon dioxide
Solvents
Statistical models
Statistical optimization
Temperature effects
X ray photoelectron spectroscopy
title Novel rice husk ash - reduced graphene oxide nanocomposite catalysts for solvent free Biginelli reaction with a statistical approach for the optimization of reaction parameters
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-28T10%3A33%3A45IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Novel%20rice%20husk%20ash%20-%20reduced%20graphene%20oxide%20nanocomposite%20catalysts%20for%20solvent%20free%20Biginelli%20reaction%20with%20a%20statistical%20approach%20for%20the%20optimization%20of%20reaction%20parameters&rft.jtitle=Materials%20chemistry%20and%20physics&rft.au=Narayanan,%20Divya%20P.&rft.date=2019-01-15&rft.volume=222&rft.spage=63&rft.epage=74&rft.pages=63-74&rft.issn=0254-0584&rft.eissn=1879-3312&rft_id=info:doi/10.1016/j.matchemphys.2018.09.078&rft_dat=%3Cproquest_cross%3E2159257939%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c349t-f49714852fff42e209267cc0e5cf9acaebdc85366deabae32054d569bbda183e3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2159257939&rft_id=info:pmid/&rfr_iscdi=true