Quantitative analysis of aluminium (III) ion using alizarin red S and artificial neural network;Analisis kuantitatif aluminium (III) menggunakan reagen alizarin red S dan jaringan neural tiruan (ANN)

Sains Malaysiana

Volumn 36, Issue 2, 2007, Pages 189-194

  Hassan, Nurul Izzaty ^a   Ahmad, Musa ^a  

^a UNIVERSITI KEBANGSAAN MALAYSIA   (Malaysia)

Author keywords

Alizarin red S; Aluminium; Artificial neural network

Indexed keywords

EID: 40749130774     PISSN: 01266039     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (8)

1. Cirovic, D.A. 1997. Feed-forward artificial neural networks: application to spectroscopy. Trends in Analytical Chemistry 16: 148-155.
2. Crabtree, R.H. 2001. The organometallic chemistry of the transition metals. Ed. Ke-3. New York: John Wiley & Sons. Inc.
3. Despagne, F. & Massart, D.L. 1998. Neural networks in multivariate calibration. Analyst 123 : 157R-178R.
4. Gasteiger, J. & Zupan, J. 1993. Neural network for Chemists: An introduction. New York: VCH.
5. Marczenko, Z. 1986. Separation and spectrophotometric determination of elements. New York: John Wiley & Sons. Inc.
6. Musa Ahmad & Narayanaswamy, R. 1995a. Development of an optical fibre Al(III) sensor based on immobilized chrome azurol S. Talanta 42: 1337-1344.
7. Musa Ahmad & Narayanaswamy, R. 1995b. A flow-cell optosensor for monitoring aluminium (III) based on immobilised eriochrome cyanine R (ECR) and reflectance spectrophotometry. The Science of The Total Environment 163 : 221-227.
8. Robert, C.W. 1972. Handbook of chemistry and physics. Ed. Ke-53. Cranwood Parkway: The Chemical Rubber Co.