Simultaneous extraction of Cu2+ and Cd2+ ions in water, wastewater, and food samples using solvent-terminated dispersive liquid-liquid microextraction: optimization by multiobjective evolutionary algorithm based on decomposition.
Gespeichert in:
| Titel: | Simultaneous extraction of Cu2+ and Cd2+ ions in water, wastewater, and food samples using solvent-terminated dispersive liquid-liquid microextraction: optimization by multiobjective evolutionary algorithm based on decomposition. |
|---|---|
| Autoren: | Farajvand M; Department of Chemistry, North Tehran Branch, Islamic Azad University, Tehran, Iran., Kiarostami V; Department of Chemistry, North Tehran Branch, Islamic Azad University, Tehran, Iran. v_kiarostami@iau-tnb.ac.ir., Davallo M; Department of Chemistry, North Tehran Branch, Islamic Azad University, Tehran, Iran., Ghaedi A; Department of Chemistry, Gachsaran Branch, Islamic Azad University, Gachsaran, Iran. |
| Quelle: | Environmental monitoring and assessment [Environ Monit Assess] 2019 Apr 17; Vol. 191 (5), pp. 287. Date of Electronic Publication: 2019 Apr 17. |
| Publikationsart: | Journal Article |
| Sprache: | English |
| Info zur Zeitschrift: | Publisher: Springer Country of Publication: Netherlands NLM ID: 8508350 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-2959 (Electronic) Linking ISSN: 01676369 NLM ISO Abbreviation: Environ Monit Assess Subsets: MEDLINE |
| Imprint Name(s): | Publication: 1998- : Dordrecht : Springer Original Publication: Dordrecht, Holland ; Boston : D. Reidel Pub. Co., c1981- |
| MeSH-Schlagworte: | Cadmium/*chemistry , Copper/*analysis , Wastewater/*analysis , Water Pollutants, Chemical/*analysis, Chelating Agents/chemistry ; Environmental Monitoring/methods ; Liquid Phase Microextraction/methods ; Methanol/chemistry ; Solvents/chemistry ; Water/chemistry ; Algorithms ; Ions ; Limit of Detection ; Neural Networks, Computer |
| Abstract: | Solvent-terminated dispersive liquid-liquid microextraction (ST-DLLME) as a simple, fast, and low-cost technique was developed for simultaneous extraction of Cd2+ and Cu2+ ions in aqueous solutions. Multiobjective evolutionary algorithm based on decomposition with the aid of artificial neural networks (ANN-MOEA/D) was used for the first time in chemistry, environment, and food sciences to optimize several independent variables affecting the extraction efficiency, including disperser volume and extraction solvent volume, pH, and salt addition. To perform the ST-DLLME operations, xylene, methanol, and dithizone were utilized as an extraction solvent, disperser solvent, and chelating agent, respectively. Non-dominated sorting genetic algorithm versions II and III (NSGA II and NSGA III) as multiobjective metaheuristic algorithms and in addition central composite design (CCD) were studied as comparable optimization methods. A comparison of results from these techniques revealed that ANN-MOEA/D model was the best optimization technique owing to its highest efficiency (97.6% for Cd2+ and 98.3% for Cu2+). Under optimal conditions obtained by ANN-MOEAD, the detection limit (S/N = 3), the quantitation limit(S/N = 10), and the linear range for Cu2+ were 0.05, 0.15, and 0.15-1000 μg L-1, respectively, and for Cd2+ were 0.07, 0.21, and 0.21-750 μg L-1, respectively. The real sample recoveries at a spiking level of 0.05, 0.1, and 0.3 mg L-1 of Cu2+ and Cd2+ ions under the optimal conditions obtained by ANN-MOEA/D ranged from 94.8 to 105%. |
| References: | J Hazard Mater. 2011 Nov 15;195:332-9. (PMID: 21889841) J Chromatogr A. 2010 Feb 19;1217(8):1244-8. (PMID: 20060535) J Hazard Mater. 2009 Nov 15;171(1-3):1133-8. (PMID: 19646812) Iran J Pharm Res. 2013 Spring;12(2):311-8. (PMID: 24250605) J AOAC Int. 2016 Sep;99(5):1356-62. (PMID: 27458174) Daru. 2014 Feb 03;22(1):25. (PMID: 24495475) J Chromatogr A. 2006 May 26;1116(1-2):1-9. (PMID: 16574135) Bull Environ Contam Toxicol. 2018 Mar;100(3):402-408. (PMID: 29279992) Anal Chim Acta. 2018 Aug 3;1016:1-11. (PMID: 29534799) |
| Contributed Indexing: | Keywords: Artificial neural networks; Cadmium ions; Copper ions; Multiobjective evolutionary algorithm based on decomposition; Solvent-terminated dispersive liquid–liquid microextraction |
| Substance Nomenclature: | 00BH33GNGH (Cadmium) 0 (Chelating Agents) 789U1901C5 (Copper) 0 (Ions) Y4S76JWI15 (Methanol) 0 (Solvents) 0 (Wastewater) 059QF0KO0R (Water) 0 (Water Pollutants, Chemical) |
| Entry Date(s): | Date Created: 20190420 Date Completed: 20190603 Latest Revision: 20260127 |
| Update Code: | 20260130 |
| DOI: | 10.1007/s10661-019-7383-6 |
| PMID: | 31001697 |
| Datenbank: | MEDLINE |
Full Text Finder 
Nájsť tento článok vo Web of Science | Abstract: | Solvent-terminated dispersive liquid-liquid microextraction (ST-DLLME) as a simple, fast, and low-cost technique was developed for simultaneous extraction of Cd<sup>2+</sup> and Cu<sup>2+</sup> ions in aqueous solutions. Multiobjective evolutionary algorithm based on decomposition with the aid of artificial neural networks (ANN-MOEA/D) was used for the first time in chemistry, environment, and food sciences to optimize several independent variables affecting the extraction efficiency, including disperser volume and extraction solvent volume, pH, and salt addition. To perform the ST-DLLME operations, xylene, methanol, and dithizone were utilized as an extraction solvent, disperser solvent, and chelating agent, respectively. Non-dominated sorting genetic algorithm versions II and III (NSGA II and NSGA III) as multiobjective metaheuristic algorithms and in addition central composite design (CCD) were studied as comparable optimization methods. A comparison of results from these techniques revealed that ANN-MOEA/D model was the best optimization technique owing to its highest efficiency (97.6% for Cd<sup>2+</sup> and 98.3% for Cu<sup>2+</sup>). Under optimal conditions obtained by ANN-MOEAD, the detection limit (S/N = 3), the quantitation limit(S/N = 10), and the linear range for Cu<sup>2+</sup> were 0.05, 0.15, and 0.15-1000 μg L<sup>-1</sup>, respectively, and for Cd<sup>2+</sup> were 0.07, 0.21, and 0.21-750 μg L<sup>-1</sup>, respectively. The real sample recoveries at a spiking level of 0.05, 0.1, and 0.3 mg L<sup>-1</sup> of Cu<sup>2+</sup> and Cd<sup>2+</sup> ions under the optimal conditions obtained by ANN-MOEA/D ranged from 94.8 to 105%. |
|---|---|
| ISSN: | 1573-2959 |
| DOI: | 10.1007/s10661-019-7383-6 |