Determination of iron, zinc, manganese and copper in tea samples by microwave assisted extraction and atomic absorption spectrometry

Nooshirvani, Farahnaz (2014) Determination of iron, zinc, manganese and copper in tea samples by microwave assisted extraction and atomic absorption spectrometry. Masters thesis, University of Zabol.

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Abstract

In this study, a hybrid of artificial neural network-genetic algorithm (ANN-GA) was used for the development of a microwave-assisted extraction method for determination of target element (zinc, copper, iron and manganese) in tea samples using flame atomic absorption spectrometry (FAAS). A multiple response function (Rm) was applied to describe the experimental conditions for simultaneous extraction of the target element. The power, temperature, extraction time and volume of solvents were the input variables, while Rm was the output. Optimum conditions were 360 W, 103 ˚C, 27 min and 2.7:7.3 mL for power, temperature, extraction time and volume of nitric acid: hydrogen peroxide (as solvents), respectively. High determination coefficient between the actual and the predicted data by ANN model (R2=0.983) indicated the goodness of fit. The developed procedure was then applied to the extraction and determination of these elements in some tea samples.

Item Type: Thesis (Masters)
Uncontrolled Keywords: Tea, Zinc, Copper, Iron Manganese, Microwave-assisted extraction, Artificial neural network, Genetic algorithm, Flame atomic absorption spectrometry
Subjects: Q Science > QD Chemistry
Depositing User: admin admin1 admin2
Date Deposited: 13 Apr 2016 08:25
Last Modified: 13 Apr 2016 08:25
URI: http://eprints.uoz.ac.ir/id/eprint/291

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