In this paper, the estimation capacities of the response surface methodology (RSM) and artificial neural network (ANN), in a microwave-assisted extraction method to determine the amount of zinc in fish samples were in...In this paper, the estimation capacities of the response surface methodology (RSM) and artificial neural network (ANN), in a microwave-assisted extraction method to determine the amount of zinc in fish samples were investigated. The experiments were carried out based on a 3-level, 4-variable Box–Behnken design. The amount of zinc was considered as a function of four independent variables, namely irradiation power, irradiation time, nitric acid concentration, and temperature. The RSM results showed the quadratic polynomial model can be used to describe the relationship between the various factors and the response. Using the ANN analysis, the optimal configuration of the ANN model was found to be 4-10-1. After predicting the model using RSM and ANN, two methodologies were then compared for their predictive capabilities. The results showed that the ANN model is much more accurate in prediction as compared to the RSM.展开更多
This study describes the preparation of zinc oxide nanoparticle-chitosan as a solid-phase adsorbent for separation and preconcentration of trace amount of chromium and nickel from environmental water samples and their...This study describes the preparation of zinc oxide nanoparticle-chitosan as a solid-phase adsorbent for separation and preconcentration of trace amount of chromium and nickel from environmental water samples and their determination by inductively coupled plasma optical emission spectrometry.Important factors including pH,amount of adsorbent,amount of 1-(2-pyridylazo)-2-naphthol,sample volume,eluent concentration and extraction time were investigated and optimized.The equilibrium data according to the Freundlich’s and Langmuir models were processed.The results showed that the equi-librium data were well fitted with Langmuir isotherm model.The best fit of adsorption kinetics was attained with a second-order equation.Under the optimum conditions,the detection limits for chromium and nickel were 0.041 and 0.039μg L^(−1),respectively,and the relative standard deviations(RSD%)were 1.5%and 1.3%(n=10,c=50μg L^(−1))for chromium and nickel,respectively.This procedure was then used for preconcentration and determination of target compounds from envi-ronmental water samples.展开更多
文摘In this paper, the estimation capacities of the response surface methodology (RSM) and artificial neural network (ANN), in a microwave-assisted extraction method to determine the amount of zinc in fish samples were investigated. The experiments were carried out based on a 3-level, 4-variable Box–Behnken design. The amount of zinc was considered as a function of four independent variables, namely irradiation power, irradiation time, nitric acid concentration, and temperature. The RSM results showed the quadratic polynomial model can be used to describe the relationship between the various factors and the response. Using the ANN analysis, the optimal configuration of the ANN model was found to be 4-10-1. After predicting the model using RSM and ANN, two methodologies were then compared for their predictive capabilities. The results showed that the ANN model is much more accurate in prediction as compared to the RSM.
文摘This study describes the preparation of zinc oxide nanoparticle-chitosan as a solid-phase adsorbent for separation and preconcentration of trace amount of chromium and nickel from environmental water samples and their determination by inductively coupled plasma optical emission spectrometry.Important factors including pH,amount of adsorbent,amount of 1-(2-pyridylazo)-2-naphthol,sample volume,eluent concentration and extraction time were investigated and optimized.The equilibrium data according to the Freundlich’s and Langmuir models were processed.The results showed that the equi-librium data were well fitted with Langmuir isotherm model.The best fit of adsorption kinetics was attained with a second-order equation.Under the optimum conditions,the detection limits for chromium and nickel were 0.041 and 0.039μg L^(−1),respectively,and the relative standard deviations(RSD%)were 1.5%and 1.3%(n=10,c=50μg L^(−1))for chromium and nickel,respectively.This procedure was then used for preconcentration and determination of target compounds from envi-ronmental water samples.
