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Simultaneous spectrophotometric determination of Pb(II) and Cd(II)using artificial neural networks

Azizul Isha, and Nor Azah Yusof, and Mazura Abdul Malik, and Hazlina Hamdan, (2007) Simultaneous spectrophotometric determination of Pb(II) and Cd(II)using artificial neural networks. Journal of Physical Science, 18 (1). pp. 1-10.

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Official URL: http://www.usm.my/jps/18-1-07/Article%2018-1-1.pdf

Affiliations

Universiti Putra Malaysia. Faculty of Science. Dept. of Chemistry
Universiti Putra Malaysia. Faculty of Science. Dept. of Chemistry
Universiti Putra Malaysia. Faculty of Science. Dept. of Chemistry
Universiti Putra Malaysia. Faculty of Computer Science and Information Technology

Abstract

A method for simultaneous analysis of Pb(II) and Cd(II) has been developed by using artificial neural network (ANN). This method is based on the difference concentration of Pb(II) and Cd(II) with 4-(2-pyridylazo)-resorcinol (PAR). A feed forward neural network using back-propagation (BP) algorithm has been employed in this study. The input layer consists of seven neurons, six neurons of hidden layer and two output neurons was found appropriate for the simultaneous determination of Pb(II) and Cd(II). The network was trained up to 20 epochs with 0.0001% learning rate. This reagent also provided good analytical performance with reproducibility characters of the method yield relative standard deviation (RSD) of 0.44% and 0.94% for Pb(II) and Cd(II), respectively. The limit of detection of the method for Pb(II) and Cd(II) was calculated to be 1.9 and 0.4 mg/l, respectively.

Item Type:Journal
Additional Information:The author would like to acknowledge Ministry of Environmental and Science of Malaysia for funding this research through IRPA research grant IRPA 09-02-04-818-EA001.
Keywords:Pb(II), Cd(II), simultaneous determination, artificial neural networks, spectrophotometry, PAR
Subjects:Q Science, Computer Science
ID Code:5258

1. Wasserman, P.D. (1989). Neural computing: Theory and practice. New York: Van Nostrand Reinhold.

2. Lemos, V.A. & Ferreira, S.L. (2001). Online preconcentration system for lead determination in seafood samples by flame atomic absorption spectrometry using polyurethane foam loaded with 2-(2-benzothiazolylazo)-2-p-cresol. Anal. Chim Acta, 441(2), 281–289.

3. Eisner, E.K., Brand, M. & Tzur, D. (1999). Determination of sub-nanomolar concentration of lead by anodic stripping voltammetry at the silver electrode. Anal. Chim Acta, 385(1–3), 325–335.

4. Ahmed, M.J. & Al-Mamun, M. (2001). Spectrophotometric determination of lead in industrial environmental, biological and soil samples using 2,5-dimercapto-1,3,4-thiadiazole. Talanta, 55(1), 43–54.

5. Hashem, E.Y. (2002). Spectrophotometric studies on the simultaneous determination of cadmium and mercury with 4-(2-pyridylazo)-resorcinol. Spectrochimica Acta Part A, 58, 1401–1410.

6. Stokinger, H.E. (1981). Patty’s industrial hygiene and toxicology (Vol. 2A, 3rd ed.). New York: Wiley-Interscience, 2028.

7. Rezaei, B., Ensafi, A.A. & Shandizi, F. (2001). Simultaneous determination of cobalt and nickel by spectrophotometric method and artificial neural network. Microchemical Journal, 70, 35–40.

8. Zupan, J. & Gasteiger, J. (1991). Neural network: A new method for solving chemical problems or just a passing phase. Anal. Chim. Acta., 248, 1–30.

9. Zupan, J. & Gasteiger, J. (1993). Neural networks for chemists: An introduction. Weinheim: VCH Publishers.

10. Cirovic, D.A. (1997) Feed-forward artificial neural networks: Applications to spectroscopy. Trend. Anal. Chem., 148–155.

11. The MathWorks Inc. (2003). Matlab, rapid data. Worthing, UK: Author.

12. Garg, D.P. & Bozink, J.S. (1972). Parameter estimation of non-linear dynamical systems. Int. J. Control., 15, 1121–1127.

13. Taib, M.N. & Narayanaswamy. R, (1997). Multichannel calibration technique for optical-fibre chemical sensor using artificial neural network. Sensors and Actuators B, 38–39, 365–370.

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