Ultrasound assisted extraction of Maxilon Red GRL dye from water samples using cobalt ferrite nanoparticles loaded on activated carbon as sorbent: Optimization and modeling

[Display omitted] •The CoFe2O4-NPs-AC were used as sorbent for extraction of MR-GRL from water samples.•Ultrasound-assisted extraction was used for extraction of MR-GRL.•Optimization of ultrasound-assisted extraction process using response surface methodology (RSM).•The validated method gave lower L...

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Veröffentlicht in:Ultrasonics sonochemistry 2017-09, Vol.38, p.672-680
Hauptverfasser: Mehrabi, Fatemeh, Vafaei, Azam, Ghaedi, Mehrorang, Ghaedi, Abdol Mohammad, Alipanahpour Dil, Ebrahim, Asfaram, Arash
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container_title Ultrasonics sonochemistry
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creator Mehrabi, Fatemeh
Vafaei, Azam
Ghaedi, Mehrorang
Ghaedi, Abdol Mohammad
Alipanahpour Dil, Ebrahim
Asfaram, Arash
description [Display omitted] •The CoFe2O4-NPs-AC were used as sorbent for extraction of MR-GRL from water samples.•Ultrasound-assisted extraction was used for extraction of MR-GRL.•Optimization of ultrasound-assisted extraction process using response surface methodology (RSM).•The validated method gave lower LOD and LOQ for target analyte.•Under the optimized conditions, the linear range was 30–3000ngmL−1 of MR-GRL. In this research, a selective, simple and rapid ultrasound assisted dispersive solid-phase micro-microextraction (UA-DSPME) was developed using cobalt ferrite nanoparticles loaded on activated carbon (CoFe2O4-NPs-AC) as an efficient sorbent for the preconcentration and determination of Maxilon Red GRL (MR-GRL) dye. The properties of sorbent are characterized by X-ray diffraction (XRD), Transmission Electron Microscopy (TEM), Vibrating sample magnetometers (VSM), Fourier transform infrared spectroscopy (FTIR), Particle size distribution (PSD) and Scanning Electron Microscope (SEM) techniques. The factors affecting on the determination of MR-GRL dye were investigated and optimized by central composite design (CCD) and artificial neural networks based on genetic algorithm (ANN-GA). CCD and ANN-GA were used for optimization. Using ANN-GA, optimum conditions were set at 6.70, 1.2mg, 5.5min and 174μL for pH, sorbent amount, sonication time and volume of eluent, respectively. Under the optimized conditions obtained from ANN-GA, the method exhibited a linear dynamic range of 30–3000ngmL−1 with a detection limit of 5.70ngmL−1. The preconcentration factor and enrichment factor were 57.47 and 93.54, respectively with relative standard deviations (RSDs) less than 4.0% (N=6). The interference effect of some ions and dyes was also investigated and the results show a good selectivity for this method. Finally, the method was successfully applied to the preconcentration and determination of Maxilon Red GRL in water and wastewater samples.
doi_str_mv 10.1016/j.ultsonch.2016.08.012
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In this research, a selective, simple and rapid ultrasound assisted dispersive solid-phase micro-microextraction (UA-DSPME) was developed using cobalt ferrite nanoparticles loaded on activated carbon (CoFe2O4-NPs-AC) as an efficient sorbent for the preconcentration and determination of Maxilon Red GRL (MR-GRL) dye. The properties of sorbent are characterized by X-ray diffraction (XRD), Transmission Electron Microscopy (TEM), Vibrating sample magnetometers (VSM), Fourier transform infrared spectroscopy (FTIR), Particle size distribution (PSD) and Scanning Electron Microscope (SEM) techniques. The factors affecting on the determination of MR-GRL dye were investigated and optimized by central composite design (CCD) and artificial neural networks based on genetic algorithm (ANN-GA). CCD and ANN-GA were used for optimization. Using ANN-GA, optimum conditions were set at 6.70, 1.2mg, 5.5min and 174μL for pH, sorbent amount, sonication time and volume of eluent, respectively. Under the optimized conditions obtained from ANN-GA, the method exhibited a linear dynamic range of 30–3000ngmL−1 with a detection limit of 5.70ngmL−1. The preconcentration factor and enrichment factor were 57.47 and 93.54, respectively with relative standard deviations (RSDs) less than 4.0% (N=6). The interference effect of some ions and dyes was also investigated and the results show a good selectivity for this method. 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In this research, a selective, simple and rapid ultrasound assisted dispersive solid-phase micro-microextraction (UA-DSPME) was developed using cobalt ferrite nanoparticles loaded on activated carbon (CoFe2O4-NPs-AC) as an efficient sorbent for the preconcentration and determination of Maxilon Red GRL (MR-GRL) dye. The properties of sorbent are characterized by X-ray diffraction (XRD), Transmission Electron Microscopy (TEM), Vibrating sample magnetometers (VSM), Fourier transform infrared spectroscopy (FTIR), Particle size distribution (PSD) and Scanning Electron Microscope (SEM) techniques. The factors affecting on the determination of MR-GRL dye were investigated and optimized by central composite design (CCD) and artificial neural networks based on genetic algorithm (ANN-GA). CCD and ANN-GA were used for optimization. Using ANN-GA, optimum conditions were set at 6.70, 1.2mg, 5.5min and 174μL for pH, sorbent amount, sonication time and volume of eluent, respectively. Under the optimized conditions obtained from ANN-GA, the method exhibited a linear dynamic range of 30–3000ngmL−1 with a detection limit of 5.70ngmL−1. The preconcentration factor and enrichment factor were 57.47 and 93.54, respectively with relative standard deviations (RSDs) less than 4.0% (N=6). The interference effect of some ions and dyes was also investigated and the results show a good selectivity for this method. Finally, the method was successfully applied to the preconcentration and determination of Maxilon Red GRL in water and wastewater samples.</description><subject>Artificial neural network-genetic algorithm</subject><subject>Central composite design</subject><subject>CoFe2O4-NPs-AC</subject><subject>Determination</subject><subject>Maxilon Red GRL</subject><subject>Ultrasound assisted</subject><issn>1350-4177</issn><issn>1873-2828</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNqFUc1u1DAQjhCIlsIrVD5ySbAdZ-1wAlVQkBZVqsrZcuwJeOXEweOUlmfiIXHYliuSJY_H38-Mvqo6Z7RhlO3eHJo1ZIyz_d7w8m6oaijjT6pTpmRbc8XV01K3Ha0Fk_KkeoF4oJS2PafPqxMuOyFkL0-r319DTgbjOjtiED1mcATuSs9mH2cSR_LF3PlQyuvyc3m9J-4eyJjiRH6aDImgmZYASFb08zdi42BCJiOk5DOQ2cxxMSl7u0FCNK6IFK1N_dZsXtakYWsgwZgGmPNbcrVkP_lf5u8Apgw2RQehqL-sno0mILx6uM-qm48fbi4-1fury88X7_e1bXcq19xJ6Vq6E5b2qnedcH05rSkrU-FaNoyjgNGNzFrX8r6QjHPKCNUzyTvRnlWvj7JLij9WwKwnjxZCMDPEFTVTXS95LwQr0N0RalNETDDqJfnJpHvNqN6C0gf9GJTegtJU6RJUIZ4_eKzDBO4f7TGZAnh3BEBZ9NZD0mg9zBacT2CzdtH_z-MPNLysrQ</recordid><startdate>201709</startdate><enddate>201709</enddate><creator>Mehrabi, Fatemeh</creator><creator>Vafaei, Azam</creator><creator>Ghaedi, Mehrorang</creator><creator>Ghaedi, Abdol Mohammad</creator><creator>Alipanahpour Dil, Ebrahim</creator><creator>Asfaram, Arash</creator><general>Elsevier B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>201709</creationdate><title>Ultrasound assisted extraction of Maxilon Red GRL dye from water samples using cobalt ferrite nanoparticles loaded on activated carbon as sorbent: Optimization and modeling</title><author>Mehrabi, Fatemeh ; Vafaei, Azam ; Ghaedi, Mehrorang ; Ghaedi, Abdol Mohammad ; Alipanahpour Dil, Ebrahim ; Asfaram, Arash</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c368t-2d77d3064c0989d54d94d93a44704d31bff4efdf1ccd329c36add8a489172543</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Artificial neural network-genetic algorithm</topic><topic>Central composite design</topic><topic>CoFe2O4-NPs-AC</topic><topic>Determination</topic><topic>Maxilon Red GRL</topic><topic>Ultrasound assisted</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mehrabi, Fatemeh</creatorcontrib><creatorcontrib>Vafaei, Azam</creatorcontrib><creatorcontrib>Ghaedi, Mehrorang</creatorcontrib><creatorcontrib>Ghaedi, Abdol Mohammad</creatorcontrib><creatorcontrib>Alipanahpour Dil, Ebrahim</creatorcontrib><creatorcontrib>Asfaram, Arash</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Ultrasonics sonochemistry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mehrabi, Fatemeh</au><au>Vafaei, Azam</au><au>Ghaedi, Mehrorang</au><au>Ghaedi, Abdol Mohammad</au><au>Alipanahpour Dil, Ebrahim</au><au>Asfaram, Arash</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Ultrasound assisted extraction of Maxilon Red GRL dye from water samples using cobalt ferrite nanoparticles loaded on activated carbon as sorbent: Optimization and modeling</atitle><jtitle>Ultrasonics sonochemistry</jtitle><addtitle>Ultrason Sonochem</addtitle><date>2017-09</date><risdate>2017</risdate><volume>38</volume><spage>672</spage><epage>680</epage><pages>672-680</pages><issn>1350-4177</issn><eissn>1873-2828</eissn><abstract>[Display omitted] •The CoFe2O4-NPs-AC were used as sorbent for extraction of MR-GRL from water samples.•Ultrasound-assisted extraction was used for extraction of MR-GRL.•Optimization of ultrasound-assisted extraction process using response surface methodology (RSM).•The validated method gave lower LOD and LOQ for target analyte.•Under the optimized conditions, the linear range was 30–3000ngmL−1 of MR-GRL. 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subjects Artificial neural network-genetic algorithm
Central composite design
CoFe2O4-NPs-AC
Determination
Maxilon Red GRL
Ultrasound assisted
title Ultrasound assisted extraction of Maxilon Red GRL dye from water samples using cobalt ferrite nanoparticles loaded on activated carbon as sorbent: Optimization and modeling
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