Optimization of Solvent Terminated Dispersive Liquid–Liquid Microextraction of Copper Ions in Water and Food Samples Using Artificial Neural Networks Coupled Bees Algorithm
A multivariate method based on solvent terminated dispersive liquid–liquid microextraction was developed for the determination of Cu 2+ ions in aqueous samples. In the proposed approach, di-2-ethylhexylphosphoric acid, xylene and acetone were used as chelating agent, dispersive and extraction solven...
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| Published in | Bulletin of environmental contamination and toxicology Vol. 100; no. 3; pp. 402 - 408 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
Springer US
01.03.2018
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0007-4861 1432-0800 1432-0800 |
| DOI | 10.1007/s00128-017-2263-7 |
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| Abstract | A multivariate method based on solvent terminated dispersive liquid–liquid microextraction was developed for the determination of Cu
2+
ions in aqueous samples. In the proposed approach, di-2-ethylhexylphosphoric acid, xylene and acetone were used as chelating agent, dispersive and extraction solvents, respectively. The effects of various factors on the extraction efficiency such as extraction and dispersive solvent volumes, salt addition and pH were studied using central composite design (CCD) and artificial neural networks coupled bees algorithm (ANN-BA). Upon comparison of these techniques, ANN-BA model was considered to be better optimization method due to its higher percentage relative recovery (about 5%) as compared to the CCD approach. The linear range and the limits of detection (S/N = 3) and quantitation (S/N = 10) were 0.22–140, 0.08 and 0.22 µg L
−1
, respectively. Under the optimal conditions, the recoveries for real samples spiked with 0.1 and 0.3 mg L
−1
were in the range of 85–98%. |
|---|---|
| AbstractList | A multivariate method based on solvent terminated dispersive liquid-liquid microextraction was developed for the determination of Cu2+ ions in aqueous samples. In the proposed approach, di-2-ethylhexylphosphoric acid, xylene and acetone were used as chelating agent, dispersive and extraction solvents, respectively. The effects of various factors on the extraction efficiency such as extraction and dispersive solvent volumes, salt addition and pH were studied using central composite design (CCD) and artificial neural networks coupled bees algorithm (ANN-BA). Upon comparison of these techniques, ANN-BA model was considered to be better optimization method due to its higher percentage relative recovery (about 5%) as compared to the CCD approach. The linear range and the limits of detection (S/N = 3) and quantitation (S/N = 10) were 0.22-140, 0.08 and 0.22 µg L-1, respectively. Under the optimal conditions, the recoveries for real samples spiked with 0.1 and 0.3 mg L-1 were in the range of 85-98%.A multivariate method based on solvent terminated dispersive liquid-liquid microextraction was developed for the determination of Cu2+ ions in aqueous samples. In the proposed approach, di-2-ethylhexylphosphoric acid, xylene and acetone were used as chelating agent, dispersive and extraction solvents, respectively. The effects of various factors on the extraction efficiency such as extraction and dispersive solvent volumes, salt addition and pH were studied using central composite design (CCD) and artificial neural networks coupled bees algorithm (ANN-BA). Upon comparison of these techniques, ANN-BA model was considered to be better optimization method due to its higher percentage relative recovery (about 5%) as compared to the CCD approach. The linear range and the limits of detection (S/N = 3) and quantitation (S/N = 10) were 0.22-140, 0.08 and 0.22 µg L-1, respectively. Under the optimal conditions, the recoveries for real samples spiked with 0.1 and 0.3 mg L-1 were in the range of 85-98%. A multivariate method based on solvent terminated dispersive liquid–liquid microextraction was developed for the determination of Cu2+ ions in aqueous samples. In the proposed approach, di-2-ethylhexylphosphoric acid, xylene and acetone were used as chelating agent, dispersive and extraction solvents, respectively. The effects of various factors on the extraction efficiency such as extraction and dispersive solvent volumes, salt addition and pH were studied using central composite design (CCD) and artificial neural networks coupled bees algorithm (ANN-BA). Upon comparison of these techniques, ANN-BA model was considered to be better optimization method due to its higher percentage relative recovery (about 5%) as compared to the CCD approach. The linear range and the limits of detection (S/N = 3) and quantitation (S/N = 10) were 0.22–140, 0.08 and 0.22 µg L−1, respectively. Under the optimal conditions, the recoveries for real samples spiked with 0.1 and 0.3 mg L−1 were in the range of 85–98%. A multivariate method based on solvent terminated dispersive liquid-liquid microextraction was developed for the determination of Cu ions in aqueous samples. In the proposed approach, di-2-ethylhexylphosphoric acid, xylene and acetone were used as chelating agent, dispersive and extraction solvents, respectively. The effects of various factors on the extraction efficiency such as extraction and dispersive solvent volumes, salt addition and pH were studied using central composite design (CCD) and artificial neural networks coupled bees algorithm (ANN-BA). Upon comparison of these techniques, ANN-BA model was considered to be better optimization method due to its higher percentage relative recovery (about 5%) as compared to the CCD approach. The linear range and the limits of detection (S/N = 3) and quantitation (S/N = 10) were 0.22-140, 0.08 and 0.22 µg L , respectively. Under the optimal conditions, the recoveries for real samples spiked with 0.1 and 0.3 mg L were in the range of 85-98%. A multivariate method based on solvent terminated dispersive liquid–liquid microextraction was developed for the determination of Cu²⁺ ions in aqueous samples. In the proposed approach, di-2-ethylhexylphosphoric acid, xylene and acetone were used as chelating agent, dispersive and extraction solvents, respectively. The effects of various factors on the extraction efficiency such as extraction and dispersive solvent volumes, salt addition and pH were studied using central composite design (CCD) and artificial neural networks coupled bees algorithm (ANN-BA). Upon comparison of these techniques, ANN-BA model was considered to be better optimization method due to its higher percentage relative recovery (about 5%) as compared to the CCD approach. The linear range and the limits of detection (S/N = 3) and quantitation (S/N = 10) were 0.22–140, 0.08 and 0.22 µg L⁻¹, respectively. Under the optimal conditions, the recoveries for real samples spiked with 0.1 and 0.3 mg L⁻¹ were in the range of 85–98%. A multivariate method based on solvent terminated dispersive liquid–liquid microextraction was developed for the determination of Cu 2+ ions in aqueous samples. In the proposed approach, di-2-ethylhexylphosphoric acid, xylene and acetone were used as chelating agent, dispersive and extraction solvents, respectively. The effects of various factors on the extraction efficiency such as extraction and dispersive solvent volumes, salt addition and pH were studied using central composite design (CCD) and artificial neural networks coupled bees algorithm (ANN-BA). Upon comparison of these techniques, ANN-BA model was considered to be better optimization method due to its higher percentage relative recovery (about 5%) as compared to the CCD approach. The linear range and the limits of detection (S/N = 3) and quantitation (S/N = 10) were 0.22–140, 0.08 and 0.22 µg L −1 , respectively. Under the optimal conditions, the recoveries for real samples spiked with 0.1 and 0.3 mg L −1 were in the range of 85–98%. |
| Author | Davallo, Mehran Farajvand, Mohammad Kiarostami, Vahid Ghaedi, Abdolmohammad |
| Author_xml | – sequence: 1 givenname: Mohammad surname: Farajvand fullname: Farajvand, Mohammad organization: Department of Chemistry, North Tehran Branch, Islamic Azad University – sequence: 2 givenname: Vahid surname: Kiarostami fullname: Kiarostami, Vahid email: v_kiarostami@iau-tnb.ac.ir organization: Department of Chemistry, North Tehran Branch, Islamic Azad University – sequence: 3 givenname: Mehran surname: Davallo fullname: Davallo, Mehran organization: Department of Chemistry, North Tehran Branch, Islamic Azad University – sequence: 4 givenname: Abdolmohammad surname: Ghaedi fullname: Ghaedi, Abdolmohammad organization: Department of Chemistry, Gachsaran Branch, Islamic Azad University |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/29279992$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1016/j.chroma.2009.12.062 10.1016/j.ecoenv.2015.12.035 10.1007/s13738-012-0131-2 10.1016/j.desal.2010.08.032 10.1080/03067319.2011.629351 10.17221/543/2012-CJFS 10.1201/9781420032963 10.1016/j.microc.2017.02.031 10.1007/s12161-012-9483-6 10.1016/j.saa.2015.03.129 10.1201/b12672 10.1080/10739149.2014.900625 10.1007/s12161-016-0547-x 10.1016/j.chroma.2006.03.007 10.1590/S0103-50532012000600023 10.1002/jccs.201000144 10.1186/2008-2231-22-25 10.1016/B978-008045157-2/50081-X 10.1080/01496390600785970 |
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| Keywords | Bees algorithm Solvent terminated dispersive liquid–liquid microextraction Response surface methodology Copper ions |
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| Snippet | A multivariate method based on solvent terminated dispersive liquid–liquid microextraction was developed for the determination of Cu
2+
ions in aqueous... A multivariate method based on solvent terminated dispersive liquid-liquid microextraction was developed for the determination of Cu ions in aqueous samples.... A multivariate method based on solvent terminated dispersive liquid–liquid microextraction was developed for the determination of Cu2+ ions in aqueous samples.... A multivariate method based on solvent terminated dispersive liquid-liquid microextraction was developed for the determination of Cu2+ ions in aqueous samples.... A multivariate method based on solvent terminated dispersive liquid–liquid microextraction was developed for the determination of Cu²⁺ ions in aqueous samples.... |
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| SubjectTerms | Acetone Algorithms Aquatic Pollution Artificial neural networks Bees Chelating agents Chelating Agents - chemistry Chelation Copper Copper - analysis detection limit Dispersion Earth and Environmental Science Ecotoxicology Environment Environmental Chemistry Environmental Health Environmental quality Extraction processes Food Contamination - analysis Ions Limit of Detection Liquid Phase Microextraction - methods liquid-phase microextraction multivariate analysis Neural networks Neural Networks (Computer) Optimization pH effects Pollution Quantitation Soil Science & Conservation Solvents Solvents - chemistry Spectrophotometry, Atomic system optimization Waste Water Technology Water Management Water Pollutants, Chemical - analysis Water Pollution Control Xylene |
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| Title | Optimization of Solvent Terminated Dispersive Liquid–Liquid Microextraction of Copper Ions in Water and Food Samples Using Artificial Neural Networks Coupled Bees Algorithm |
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