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

Ultrasonics Sonochemistry

Volumn 38, Issue , 2017, Pages 672-680

  Mehrabi, Fatemeh ^a   Vafaei, Azam ^a   Ghaedi, Mehrorang ^b   Ghaedi, Abdol Mohammad ^a   Alipanahpour Dil, Ebrahim ^b   Asfaram, Arash ^b  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b YASOUJ UNIVERSITY   (Iran)

Author keywords

Artificial neural network genetic algorithm; Central composite design; CoFe2O4 NPs AC; Determination; Maxilon Red GRL; Ultrasound assisted

Indexed keywords

ACTIVATED CARBON; CHEMICALS REMOVAL (WATER TREATMENT); COBALT; FERRITE; FOURIER TRANSFORM INFRARED SPECTROSCOPY; GENETIC ALGORITHMS; HIGH RESOLUTION TRANSMISSION ELECTRON MICROSCOPY; NANOPARTICLES; NEURAL NETWORKS; PARTICLE SIZE; PARTICLE SIZE ANALYSIS; SCANNING ELECTRON MICROSCOPY; SORBENTS; SORPTION; TRANSMISSION ELECTRON MICROSCOPY; ULTRASONIC APPLICATIONS; X RAY DIFFRACTION;

CENTRAL COMPOSITE DESIGNS; COFE2O4; DETERMINATION; MAXILON RED GRL; RELATIVE STANDARD DEVIATIONS; ULTRASOUND-ASSISTED EXTRACTION; VIBRATING SAMPLE MAGNETOMETER; WATER AND WASTEWATER SAMPLES;

EXTRACTION;

ACTIVATED CARBON; COBALT; DYE; FERRITE; NANOPARTICLE; SORBENT;

ARTICLE; ARTIFICIAL NEURAL NETWORK; EXTRACTION; GENETIC ALGORITHM; INFRARED SPECTROSCOPY; MAGNETOMETER; PARTICLE SIZE; PRIORITY JOURNAL; TRANSMISSION ELECTRON MICROSCOPY; ULTRASOUND; WATER SAMPLING; X RAY DIFFRACTION;

EID: 84995973242     PISSN: 13504177     EISSN: 18732828     Source Type: Journal    
DOI: 10.1016/j.ultsonch.2016.08.012     Document Type: Article

References (50)

1. Soylak, M., Elci, L., Dogan, M., A sorbent extraction procedure for the preconcentration of gold, silver and palladium on an activated carbon column. Anal. Lett. 33 (2000), 513–525.
2. 2 as adsorbents from aqueous solution. J. Ind. Eng. Chem. 20 (2014), 3186–3194.
3. Chowdhury, S., Mishra, R., Saha, P., Kushwaha, P., Adsorption thermodynamics, kinetics and isosteric heat of adsorption of malachite green onto chemically modified rice husk. Desalination 265 (2011), 159–168.
4. Ghaedi, M., Ansari, A., Bahari, F., Ghaedi, A., Vafaei, A., A hybrid artificial neural network and particle swarm optimization for prediction of removal of hazardous dye brilliant green from aqueous solution using zinc sulfide nanoparticle loaded on activated carbon. Spectrochim. Acta Part A Mol. Biomol. Spectrosc. 137 (2015), 1004–1015.
5. El-Sayed, G.O., Mohammed, T.Y., Salama, A.A.-A., Batch Adsorption of maxilon red GRL from aqueous solution by natural sugarcane stalks powder. ISRN Environ. Chem. 2 (2013), 1–8.
6. Koyuncu, M., Removal of maxilon red GRL from aqueous solutions by adsorption onto silica. Orient. J. Chem. 25 (2009), 35–40.
7. Poole, C.F., Lenca, N., Green sample-preparation methods using room-temperature ionic liquids for the chromatographic analysis of organic compounds. TrAC Trend Anal. Chem. 71 (2015), 144–156.
8. 2 nanostructured photoanodes for bio-inspired solar energy conversion. RSC Adv. 5 (2015), 18642–18646.
9. Soylak, M., Unsal, Y.E., Tuzen, M., Spectrophotometric determination of trace levels of allura red in water samples after separation and preconcentration. Food Chem. Toxicol. 49 (2011), 1183–1187.
10. Marin, P., Borba, C.E., Modenes, A.N., Espinoza-Quinones, F.R., de Oliveira, S.P., Kroumov, A.D., Determination of the mass transfer limiting step of dye adsorption onto commercial adsorbent by using mathematical models. Environ. Technol. 35 (2014), 2356–2364.
11. Al-Degs, Y.S., Sweileh, J.A., Simultaneous determination of five commercial cationic dyes in stream waters using diatomite solid-phase extractant and multivariate calibration. Arabian J. Chem. 5 (2012), 219–224.
12. Soylak, M., Determination of trace amounts of copper in high-purity aluminum samples after preconcentration on an activated carbon column. Fresenius Environ. Bull. 7 (1998), 383–387.
13. Xian, Y., Wu, Y., Guo, X., Lu, Y., Luo, H., Luo, D., Chen, Y., Simultaneous determination of 11 restricted dyes in cosmetics by ultra high-performance liquid chromatography/tandem mass spectrometry. Anal. Methods 5 (2013), 1965–1974.
14. Wang, Y., Sun, Y., Wang, Y., Jiang, C., Yu, X., Gao, Y., Zhang, H., Song, D., Determination of Sudan dyes in environmental water by magnetic mesoporous microsphere-based solid phase extraction ultra fast liquid chromatography. Anal. Methods 5 (2013), 1399–1406.
15. Zhong, Z., Li, G., Wu, Y., Luo, Z., Zhu, B., Ultrasound-assisted matrix solid-phase dispersive liquid extraction for the determination of intermediates in hair dyes with ion chromatography. Anal. Chim. Acta 752 (2012), 53–61.
16. He, L., Su, Y., Shen, X., Zeng, Z., Liu, Y., Determination of Sudan dye residues in eggs by liquid chromatography and gas chromatography–mass spectrometry. Anal. Chim. Acta 594 (2007), 139–146.
17. Alipanahpour Dil, E., Ghaedi, M., Asfaram, A., Goudarzi, A., Synthesis and characterization of ZnO-nanorods loaded onto activated carbon and its application for efficient solid phase extraction and determination of BG from water samples by micro-volume spectrophotometry. New J. Chem. 39 (2015), 9407–9414.
18. Asfaram, A., Ghaedi, M., Goudarzi, A., Soylak, M., Comparison between dispersive liquid–liquid microextraction and ultrasound-assisted nanoparticles-dispersive solid-phase microextraction combined with microvolume spectrophotometry method for the determination of Auramine-O in water samples. RSC Adv. 5 (2015), 39084–39096.
19. Khodadoust, S., Ghaedi, M., Hadjmohammadi, M.R., Dispersive nano solid material-ultrasound assisted microextraction as a novel method for extraction and determination of bendiocarb and promecarb: response surface methodology. Talanta 116 (2013), 637–646.
20. Arabi, M., Ostovan, A., Ghaedi, M., Purkait, M.K., Novel strategy for synthesis of magnetic dummy molecularly imprinted nanoparticles based on functionalized silica as an efficient sorbent for the determination of acrylamide in potato chips: optimization by experimental design methodology. Talanta 154 (2016), 526–532.
21. Arabi, M., Ghaedi, M., Ostovan, A., Development of dummy molecularly imprinted based on functionalized silica nanoparticles for determination of acrylamide in processed food by matrix solid phase dispersion. Food Chem. 210 (2016), 78–84.
22. Arabi, M., Ghaedi, M., Ostovan, A., Wang, S., Synthesis of lab-in-a-pipette-tip extraction using hydrophilic nano-sized dummy molecularly imprinted polymer for purification and analysis of prednisolone. J. Colloid Interface Sci. 480 (2016), 232–239.
23. Sarafraz-Yazdi, A., Zendegi-Shiraz, A., Es'haghi, Z., Hassanzadeh-Khayyat, M., Synthesis and characterization of composite polymer, polyethylene glycol grafted flower-like cupric nano oxide for solid phase microextraction of ultra-trace levels of benzene, toluene, ethyl benzene and o-xylene in human hair and water samples. J. Chromatogr. A 1418 (2015), 21–28.
24. Roosta, M., Ghaedi, M., Daneshfar, A., Sahraei, R., Ultrasound assisted microextraction-nano material solid phase dispersion for extraction and determination of thymol and carvacrol in pharmaceutical samples: experimental design methodology. J. Chromatogr. B 975 (2015), 34–39.
25. Soylak, M., Elci, L., Dogan, M., Determination of some trace metal impurities in refined and unrefined salts after preconcentration onto activated carbon. Fresenius Environ. Bull. 5 (1996), 148–155.
26. Asfaram, A., Ghaedi, M., Goudarzi, A., Optimization of ultrasound-assisted dispersive solid-phase microextraction based on nanoparticles followed by spectrophotometry for the simultaneous determination of dyes using experimental design. Ultrason. Sonochem. 32 (2016), 407–417.
27. Asfaram, A., Ghaedi, M., Goudarzi, A., Soylak, M., Mehdizadeh Langroodi, S., Magnetic nanoparticle based dispersive micro-solid-phase extraction for the determination of malachite green in water samples: optimized experimental design. New J. Chem. 39 (2015), 9813–9823.
28. Abdulra'uf, L.B., Tan, G.H., Chemometric approach to the optimization of HS-SPME/GC-MS for the determination of multiclass pesticide residues in fruits and vegetables. Food Chem. 177 (2015), 267–273.
29. Gandolfi, F., Malleret, L., Sergent, M., Doumenq, P., Parameters optimization using experimental design for headspace solid phase micro-extraction analysis of short-chain chlorinated paraffins in waters under the European water framework directive. J. Chromatogr. A 1406 (2015), 59–67.
30. D'Agostino, M., Sanz, J., Sanz, M., Giuffrè, A., Sicari, V., Soria, A., Optimization of a solid-phase microextraction method for the gas chromatography–mass spectrometry analysis of blackberry (Rubus ulmifolius Schott) fruit volatiles. Food Chem. 178 (2015), 10–17.
31. 4/carbon nanocomposite and its application to removal of bromophenol blue dye using ultrasonic assisted method: optimization by response surface methodology and genetic algorithm. J. Taiwan Inst. Chem. Eng. 59 (2016), 275–284.
32. Ghaedi, A., Simultaneous prediction of the thermodynamic properties of aqueous solution of ethylene glycol monoethyl ether using artificial neural network. J. Mol. Liq. 207 (2015), 327–333.
33. Behbahani, M., Esrafili, A., Bagheri, S., Radfar, S., Bojdi, M.K., Bagheri, A., Modified nanoporous carbon as a novel sorbent before solvent-based de-emulsification dispersive liquid–liquid microextraction for ultra-trace detection of cadmium by flame atomic absorption spectrophotometry. Measurement 51 (2014), 174–181.
34. Asfaram, A., Ghaedi, M., Simultaneous determination of cationic dyes in water samples with dispersive liquid–liquid microextraction followed by spectrophotometry: experimental design methodology. New J. Chem., 2016.
35. 4 nanoparticles and their application in magnetic polystyrene nanocomposites. J. Ind. Eng. Chem. 20 (2014), 4119–4123.
36. Asfaram, A., Ghaedi, M., Alipanahpour, E., Agarwal, S., Gupta, V.K., Application of response surface methodology and dispersive liquid–liquid microextraction by microvolume spectrophotometry method for rapid determination of curcumin in water, wastewater, and food samples. Food Anal. Methods 9 (2016), 1274–1283.
37. 4-NPs loaded on AC: kinetic and isothermal studies. Dalton Trans. 44 (2015), 14707–14723.
38. Dil, E.A., Ghaedi, M., Ghaedi, A., Asfaram, A., Jamshidi, M., Purkait, M.K., Application of artificial neural network and response surface methodology for the removal of crystal violet by zinc oxide nanorods loaded on activate carbon: kinetics and equilibrium study. J. Taiwan Inst. Chem. Eng. 59 (2016), 210–220.
39. Asfaram, A., Ghaedi, M., Hajati, S., Goudarzi, A., Bazrafshan, A.A., Simultaneous ultrasound-assisted ternary adsorption of dyes onto copper-doped zinc sulfide nanoparticles loaded on activated carbon: optimization by response surface methodology. Spectrochim. Acta Part A Mol. Biomol. Spectrosc. 145 (2015), 203–212.
40. Asfaram, A., Ghaedi, M., Agarwal, S., Tyagi, I., Gupta, V.K., Removal of basic dye Auramine-O by ZnS: Cu nanoparticles loaded on activated carbon: optimization of parameters using response surface methodology with central composite design. RSC Adv. 5 (2015), 18438–18450.
41. 3-based nanomaterial for ultrasonic assisted dyes adsorption: modeling and optimization. Ultrason. Sonochem. 32 (2016), 418–431.
42. Asfaram, A., Ghaedi, M., Azqhandi, M.H.A., Goudarzi, A., Dastkhoon, M., Statistical experimental design, least squares-support vector machine (LS-SVM) and artificial neural network (ANN) methods for modeling the facilitated adsorption of methylene blue dye. RSC Adv. 6 (2016), 40502–40516.
43. Dil, E.A., Ghaedi, M., Ghaedi, A.M., Asfaram, A., Goudarzi, A., Hajati, S., Soylak, M., Agarwal, S., Gupta, V.K., Modeling of quaternary dyes adsorption onto ZnO–NR–AC artificial neural network: analysis by derivative spectrophotometry. J. Ind. Eng. Chem. 34 (2016), 186–197.
44. Azad, F.N., Ghaedi, M., Asfaram, A., Jamshidi, A., Hassani, G., Goudarzi, A., Azqhandi, M.H.A., Ghaedi, A., Optimization of the process parameters for the adsorption of ternary dyes by Ni doped FeO(OH)-NWs-AC using response surface methodology and an artificial neural network. RSC Adv. 6 (2016), 19768–19779.
45. Ahmadizar, F., Soltanian, K., AkhlaghianTab, F., Tsoulos, I., Artificial neural network development by means of a novel combination of grammatical evolution and genetic algorithm. Eng. Appl. Artif. Intell. 39 (2015), 1–13.
46. Karimi, H., Ghaedi, M., Application of artificial neural network and genetic algorithm to modeling and optimization of removal of methylene blue using activated carbon. J. Ind. Eng. Chem. 20 (2014), 2471–2476.
47. Yavari, S., Mahmodi, N.M., Teymouri, P., Shahmoradi, B., Maleki, A., Cobalt ferrite nanoparticles: preparation, characterization and anionic dye removal capability. J. Taiwan Inst. Chem. Eng. 59 (2016), 320–329.
48. Dey, A., Singh, R., Purkait, M., Cobalt ferrite nanoparticles aggregated schwertmannite: a novel adsorbent for the efficient removal of arsenic. J. Water Process Eng. 3 (2014), 1–9.
49. Sarve, A., Sonawane, S.S., Varma, M.N., Ultrasound assisted biodiesel production from sesame (Sesamum indicum L.) oil using barium hydroxide as a heterogeneous catalyst: Comparative assessment of prediction abilities between response surface methodology (RSM) and artificial neural network (ANN). Ultrason. Sonochem. 26 (2015), 218–228.
50. Chen, P.-S., Haung, W.-Y., Huang, S.-D., Analysis of triazine herbicides using an up-and-down-shaker-assisted dispersive liquid–liquid microextraction coupled with gas chromatography–mass spectrometry. J. Chromatogr. B 955 (2014), 116–123.