Adsorptive removal of noxious atrazine using graphene oxide nanosheets: Insights to process optimization, equilibrium, kinetics, and density functional theory calculations
Atrazine is a toxic herbicide whose alarming rate of contamination in the drinking water and wastewater poses a severe threat to the environment and human health. Here in this study, the graphene oxide (GO) nanosheets were prepared using Hummers' method with minor modification and studied as a...
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creator | Muthusaravanan, S. Balasubramani, K. Suresh, Rahul Ganesh, R. Sankar Sivarajasekar, N. Arul, H. Rambabu, K. Bharath, G. Sathishkumar, V.E. Murthy, A.P. Banat, Fawzi |
description | Atrazine is a toxic herbicide whose alarming rate of contamination in the drinking water and wastewater poses a severe threat to the environment and human health. Here in this study, the graphene oxide (GO) nanosheets were prepared using Hummers' method with minor modification and studied as a potential adsorbent for atrazine removal from simulated wastewater. The spectroscopy and microscopic analysis confirmed the successful formation of GO with a multilayer structure resembling the crumpled sheets with random stacking. The Response Surface Methodology (RSM) employing Box Behnken design (BBD) was successfully developed to predict the optimal conditions for maximal atrazine removal as adsorbent dosage 121.45 mg/L; initial feed concentration 27.03 mg/L; temperature 27.69 °C, pH 5.37, and time 180 min. The atrazine adsorption onto GO was found to be higher in acidic pH and lower temperature. Density functional theory (DFT) calculation of adsorbent-adsorbate complex in the implicit solvent medium suggests adsorption affinity energy of −24.4 kcal/mol for atrazine. A careful observation of the molecules configuration and binding energy showed that the π–π interactions and hydrogen bonds played a significant role in the adsorption phenomena. Langmuir isotherm suited well to the adsorption process with a maximum adsorption capacity of 138.19 mg/g, at 318 K. The fitness of kinetic models for atrazine adsorption onto GO nanosheets were in following order Ho |
doi_str_mv | 10.1016/j.envres.2021.111428 |
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[Display omitted]
•GO nanosheets were prepared, characterized and evaluated for atrazine adsorption.•Box Behnken design was used to optimize the adsorption parameters.•Langmuir isotherm and Avrami kinetic model best described the adsorption phenomena.•Molecular interactions were visualized through Density Functional Theory study.•GO nanosheets displayed excellent reusability for atrazine removal upto 6 cycles.</description><identifier>ISSN: 0013-9351</identifier><identifier>DOI: 10.1016/j.envres.2021.111428</identifier><language>eng</language><publisher>Elsevier Inc</publisher><subject>adsorbents ; Adsorption ; atrazine ; Density functional theory ; energy ; Graphene oxide ; Herbicide ; human health ; hydrogen ; nanosheets ; response surface methodology ; solvents ; sorption isotherms ; spectroscopy ; temperature ; toxicity ; wastewater ; Wastewater treatment</subject><ispartof>Environmental research, 2021-09, Vol.200, p.111428, Article 111428</ispartof><rights>2021 Elsevier Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c372t-a719588add9f9e83523d126fa7da01901086ad9e68ada5b092197479c0d729033</citedby><cites>FETCH-LOGICAL-c372t-a719588add9f9e83523d126fa7da01901086ad9e68ada5b092197479c0d729033</cites><orcidid>0000-0002-6354-0886</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0013935121007222$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Muthusaravanan, S.</creatorcontrib><creatorcontrib>Balasubramani, K.</creatorcontrib><creatorcontrib>Suresh, Rahul</creatorcontrib><creatorcontrib>Ganesh, R. Sankar</creatorcontrib><creatorcontrib>Sivarajasekar, N.</creatorcontrib><creatorcontrib>Arul, H.</creatorcontrib><creatorcontrib>Rambabu, K.</creatorcontrib><creatorcontrib>Bharath, G.</creatorcontrib><creatorcontrib>Sathishkumar, V.E.</creatorcontrib><creatorcontrib>Murthy, A.P.</creatorcontrib><creatorcontrib>Banat, Fawzi</creatorcontrib><title>Adsorptive removal of noxious atrazine using graphene oxide nanosheets: Insights to process optimization, equilibrium, kinetics, and density functional theory calculations</title><title>Environmental research</title><description>Atrazine is a toxic herbicide whose alarming rate of contamination in the drinking water and wastewater poses a severe threat to the environment and human health. Here in this study, the graphene oxide (GO) nanosheets were prepared using Hummers' method with minor modification and studied as a potential adsorbent for atrazine removal from simulated wastewater. The spectroscopy and microscopic analysis confirmed the successful formation of GO with a multilayer structure resembling the crumpled sheets with random stacking. The Response Surface Methodology (RSM) employing Box Behnken design (BBD) was successfully developed to predict the optimal conditions for maximal atrazine removal as adsorbent dosage 121.45 mg/L; initial feed concentration 27.03 mg/L; temperature 27.69 °C, pH 5.37, and time 180 min. The atrazine adsorption onto GO was found to be higher in acidic pH and lower temperature. Density functional theory (DFT) calculation of adsorbent-adsorbate complex in the implicit solvent medium suggests adsorption affinity energy of −24.4 kcal/mol for atrazine. A careful observation of the molecules configuration and binding energy showed that the π–π interactions and hydrogen bonds played a significant role in the adsorption phenomena. Langmuir isotherm suited well to the adsorption process with a maximum adsorption capacity of 138.19 mg/g, at 318 K. The fitness of kinetic models for atrazine adsorption onto GO nanosheets were in following order Ho < Sobkowsk-Czerwi < Avrami model based on their correlation coefficient (R2) values. Reusability analysis showed that GO nanosheets could be effectively recycled using 0.01 N NaOH up to six cycles of atrazine removal. Thus, this study provided a theoretical and experimental basis for the potential application of GO nanosheets as a novel adsorbent for the removal of hazardous atrazine.
[Display omitted]
•GO nanosheets were prepared, characterized and evaluated for atrazine adsorption.•Box Behnken design was used to optimize the adsorption parameters.•Langmuir isotherm and Avrami kinetic model best described the adsorption phenomena.•Molecular interactions were visualized through Density Functional Theory study.•GO nanosheets displayed excellent reusability for atrazine removal upto 6 cycles.</description><subject>adsorbents</subject><subject>Adsorption</subject><subject>atrazine</subject><subject>Density functional theory</subject><subject>energy</subject><subject>Graphene oxide</subject><subject>Herbicide</subject><subject>human health</subject><subject>hydrogen</subject><subject>nanosheets</subject><subject>response surface methodology</subject><subject>solvents</subject><subject>sorption isotherms</subject><subject>spectroscopy</subject><subject>temperature</subject><subject>toxicity</subject><subject>wastewater</subject><subject>Wastewater treatment</subject><issn>0013-9351</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9kctuGzEMRWfRAE2T_kEXWmZhu3p4HsqiQBAkTYAA3bRrgZE4ttwZyRE1Rp1f6k9WznSdFUHw3gOSt6q-CL4SXDRfdysMh4S0klyKlRBiLbsP1TnnQi21qsXH6hPRrrSiVvy8-nvjKKZ99gdkCcd4gIHFnoX4x8eJGOQErz4gm8iHDdsk2G-xtGXskAUIkbaIma7ZYyC_2WZiObJ9ihaJWCzc0b9C9jEsGL5MfvDPyU_jgv0u0OwtLRgExxwWdz6yfgr2JC5L5C3GdGQWBjsNbwS6rM56GAg__68X1a_7u5-3D8unH98fb2-ella1Mi-hFbruOnBO9xo7VUvlhGx6aB1wobngXQNOY1MkUD9zLYVu16223LVSc6UuqquZW-54mZCyGT1ZHAYIWJ5iZF1Lvlaqa4p0PUttikQJe7NPfoR0NIKbUx5mZ-Y8zCkPM-dRbN9mG5YzDh6TIesxWHQ-oc3GRf8-4B98qpzt</recordid><startdate>202109</startdate><enddate>202109</enddate><creator>Muthusaravanan, S.</creator><creator>Balasubramani, K.</creator><creator>Suresh, Rahul</creator><creator>Ganesh, R. Sankar</creator><creator>Sivarajasekar, N.</creator><creator>Arul, H.</creator><creator>Rambabu, K.</creator><creator>Bharath, G.</creator><creator>Sathishkumar, V.E.</creator><creator>Murthy, A.P.</creator><creator>Banat, Fawzi</creator><general>Elsevier Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7S9</scope><scope>L.6</scope><orcidid>https://orcid.org/0000-0002-6354-0886</orcidid></search><sort><creationdate>202109</creationdate><title>Adsorptive removal of noxious atrazine using graphene oxide nanosheets: Insights to process optimization, equilibrium, kinetics, and density functional theory calculations</title><author>Muthusaravanan, S. ; Balasubramani, K. ; Suresh, Rahul ; Ganesh, R. Sankar ; Sivarajasekar, N. ; Arul, H. ; Rambabu, K. ; Bharath, G. ; Sathishkumar, V.E. ; Murthy, A.P. ; Banat, Fawzi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c372t-a719588add9f9e83523d126fa7da01901086ad9e68ada5b092197479c0d729033</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>adsorbents</topic><topic>Adsorption</topic><topic>atrazine</topic><topic>Density functional theory</topic><topic>energy</topic><topic>Graphene oxide</topic><topic>Herbicide</topic><topic>human health</topic><topic>hydrogen</topic><topic>nanosheets</topic><topic>response surface methodology</topic><topic>solvents</topic><topic>sorption isotherms</topic><topic>spectroscopy</topic><topic>temperature</topic><topic>toxicity</topic><topic>wastewater</topic><topic>Wastewater treatment</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Muthusaravanan, S.</creatorcontrib><creatorcontrib>Balasubramani, K.</creatorcontrib><creatorcontrib>Suresh, Rahul</creatorcontrib><creatorcontrib>Ganesh, R. Sankar</creatorcontrib><creatorcontrib>Sivarajasekar, N.</creatorcontrib><creatorcontrib>Arul, H.</creatorcontrib><creatorcontrib>Rambabu, K.</creatorcontrib><creatorcontrib>Bharath, G.</creatorcontrib><creatorcontrib>Sathishkumar, V.E.</creatorcontrib><creatorcontrib>Murthy, A.P.</creatorcontrib><creatorcontrib>Banat, Fawzi</creatorcontrib><collection>CrossRef</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Environmental research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Muthusaravanan, S.</au><au>Balasubramani, K.</au><au>Suresh, Rahul</au><au>Ganesh, R. Sankar</au><au>Sivarajasekar, N.</au><au>Arul, H.</au><au>Rambabu, K.</au><au>Bharath, G.</au><au>Sathishkumar, V.E.</au><au>Murthy, A.P.</au><au>Banat, Fawzi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Adsorptive removal of noxious atrazine using graphene oxide nanosheets: Insights to process optimization, equilibrium, kinetics, and density functional theory calculations</atitle><jtitle>Environmental research</jtitle><date>2021-09</date><risdate>2021</risdate><volume>200</volume><spage>111428</spage><pages>111428-</pages><artnum>111428</artnum><issn>0013-9351</issn><abstract>Atrazine is a toxic herbicide whose alarming rate of contamination in the drinking water and wastewater poses a severe threat to the environment and human health. Here in this study, the graphene oxide (GO) nanosheets were prepared using Hummers' method with minor modification and studied as a potential adsorbent for atrazine removal from simulated wastewater. The spectroscopy and microscopic analysis confirmed the successful formation of GO with a multilayer structure resembling the crumpled sheets with random stacking. The Response Surface Methodology (RSM) employing Box Behnken design (BBD) was successfully developed to predict the optimal conditions for maximal atrazine removal as adsorbent dosage 121.45 mg/L; initial feed concentration 27.03 mg/L; temperature 27.69 °C, pH 5.37, and time 180 min. The atrazine adsorption onto GO was found to be higher in acidic pH and lower temperature. Density functional theory (DFT) calculation of adsorbent-adsorbate complex in the implicit solvent medium suggests adsorption affinity energy of −24.4 kcal/mol for atrazine. A careful observation of the molecules configuration and binding energy showed that the π–π interactions and hydrogen bonds played a significant role in the adsorption phenomena. Langmuir isotherm suited well to the adsorption process with a maximum adsorption capacity of 138.19 mg/g, at 318 K. The fitness of kinetic models for atrazine adsorption onto GO nanosheets were in following order Ho < Sobkowsk-Czerwi < Avrami model based on their correlation coefficient (R2) values. Reusability analysis showed that GO nanosheets could be effectively recycled using 0.01 N NaOH up to six cycles of atrazine removal. Thus, this study provided a theoretical and experimental basis for the potential application of GO nanosheets as a novel adsorbent for the removal of hazardous atrazine.
[Display omitted]
•GO nanosheets were prepared, characterized and evaluated for atrazine adsorption.•Box Behnken design was used to optimize the adsorption parameters.•Langmuir isotherm and Avrami kinetic model best described the adsorption phenomena.•Molecular interactions were visualized through Density Functional Theory study.•GO nanosheets displayed excellent reusability for atrazine removal upto 6 cycles.</abstract><pub>Elsevier Inc</pub><doi>10.1016/j.envres.2021.111428</doi><orcidid>https://orcid.org/0000-0002-6354-0886</orcidid></addata></record> |
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subjects | adsorbents Adsorption atrazine Density functional theory energy Graphene oxide Herbicide human health hydrogen nanosheets response surface methodology solvents sorption isotherms spectroscopy temperature toxicity wastewater Wastewater treatment |
title | Adsorptive removal of noxious atrazine using graphene oxide nanosheets: Insights to process optimization, equilibrium, kinetics, and density functional theory calculations |
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