Application of bat algorithm with the aid of artificial neural network for optimization of copper ions microextraction from wastewater using p-sulfonatocalix[4]arene

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Farajvand Mohammad; KIAROSTAMI VAHID; DAVALLO MEHRAN; Ghaedi Abdolmohammad; Fatahi Farnoosh

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Journal: Journal of Applied Research in Chemistry Year:2019 | Volume:13 | Issue:3 Page(s): 77-88

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Title

Application of bat algorithm with the aid of artificial neural network for optimization of copper ions microextraction from wastewater using p-sulfonatocalix[4]arene

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Keywords

Bat algorithmQ1

Liquid microextractionQ1

Cu2+ ionsQ1

WastewaterQ2

Abstract

A bat metaheuristic algorithm with the aid of artificial neural networks (ANN-BA) has been employed for the first time to optimize solvent-terminated dispersive liquid-Liquid microextraction (ST-DLLME) as a fast, simple, and low cost technique for determination of Cu2+ ions in Wastewater samples using p-sulfonatocalix[4]arene as a chelating agent. Toluene and methanol were used as extraction and disperser solvents, respectively. ANN-BA optimization has been carried out on four factors which was influenced on the extraction efficiency, such as extraction and solvent volumes, salt addition, and pH. Central composite design (CCD) as a comparative technique was employed for optimization of ST-DLLME efficiency. The ANN-BA optimization technique compared to CCD, was selected as a better model because of its higher value of extraction efficiency (about 7. 21%). Under ANN-BA optimal conditions, the limit of detection (S/N=3), limit of quantitation (S/N = 10), and linear range were 0. 12, 0. 35 and 0. 35-1000 μ g l-1, respectively. In this circumstance, the percentage recoveries for Wastewater samples spiked with 0. 05, 0. 1 and 0. 2 mg l-1 of Cu2+ ions were in the acceptable range (92. 8 – 104. 5 %).

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APA: Copy

Farajvand, Mohammad, KIAROSTAMI, VAHID, DAVALLO, MEHRAN, Ghaedi, Abdolmohammad, & Fatahi, Farnoosh. (2019). Application of bat algorithm with the aid of artificial neural network for optimization of copper ions microextraction from wastewater using p-sulfonatocalix[4]arene. JOURNAL OF APPLIED RESEARCHES IN CHEMISTRY (JARC), 13(3 ), 77-88. SID. https://sid.ir/paper/180300/en

Vancouver: Copy

Farajvand Mohammad, KIAROSTAMI VAHID, DAVALLO MEHRAN, Ghaedi Abdolmohammad, Fatahi Farnoosh. Application of bat algorithm with the aid of artificial neural network for optimization of copper ions microextraction from wastewater using p-sulfonatocalix[4]arene. JOURNAL OF APPLIED RESEARCHES IN CHEMISTRY (JARC)[Internet]. 2019;13(3 ):77-88. Available from: https://sid.ir/paper/180300/en

IEEE: Copy

Mohammad Farajvand, VAHID KIAROSTAMI, MEHRAN DAVALLO, Abdolmohammad Ghaedi, and Farnoosh Fatahi, “Application of bat algorithm with the aid of artificial neural network for optimization of copper ions microextraction from wastewater using p-sulfonatocalix[4]arene,” JOURNAL OF APPLIED RESEARCHES IN CHEMISTRY (JARC), vol. 13, no. 3 , pp. 77–88, 2019, [Online]. Available: https://sid.ir/paper/180300/en

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