Sains Malaysian 36(2): 189-194 (2007)
Analisis Kuantitatif Aluminium (III) Menggunakan Reagen Alizarin Red S dan Jaringan Neural Tiruan (ANN) (Quantitative Analysis of Aluminium (III) Ion Using Alizarin Red Sand Artificial Neural Network )
Nurul Izzaty Hassan & Musa Ahmad Pusat Pengajian Sains Kimia dan Teknologi Makanan Fakulti Sains dan Teknologi, Universiti Kebangsaan Malaysia 43600 UKM Bangi, Selangor D.E., Malaysia
Diserahkan: 10 Januari 2007 / Diterima: 2 Mac 2007
ABSTRAK
Analisis kuantitatif untuk penentuan kepekatan ion Al3+ dalam larutan akueus telah dilakukan menggunakan reagen alizarin red S (ARS) melalui pembentukan kompleks ARS-Al(III) yang dianalisis menggunakan kaedah spektrofotometri UL-Nampak. Kompleks ARS-Al(III) memberikan puncak serapan pada panjang gelombang 484 nm pada pH 5. Kajian kestabilan foto bagi reagen ARS memberikan nilai RSD sebanyak 0.46 %. Analisis kebolehulangan memberikan nilai RSD sebanyak 1.07 % dan 0.67 % masing-masingnya bagi kepekatan Al(III) 0.2 ppm dan 9 ppm. Gangguan kation Cu2+ dan Fe3+ pada nisbah mol 1:10 adalah minimum. Kebanyakan anion penggangu tidak memberikan kesan gangguan kecuali F- pada nisbah mol 1:1 dan 1:10. Sistem ini memberikan julat kepekatan dinamik Al3+ antara 0.1 – 1.0 ppm. Arkitektur ANN dengan bilangan neuron terlindung, bilangan kitaran dan kadar pembelajaran adalah masing-masingnya 23, 40000 dan 0.001 telah berjaya memanjangkan julat dinamik kepekatan Al(III) daripada 0.1 – 8.0 ppm. Reagen ARS berjaya dipegunkan pada permukaan ko-polimer XAD 4 dan mampu memberikan respon optik yang baik terhadap ion Al3+.
Kata kunci : Alizarin red S; aluminium; jaringan neural tiruan
ABSTRACT
A quantitative analysis for determination of Al3+ concentration in aqueous solution has been carried out using alizarin red S (ARS) as a reagent to form ARS-Al(III) complex. The analysis was conducted using UV-Vis spectrophotometry method. ARS-Al(III) complex showed a maximum absorption peak at wavelength of 484 nm and optimum pH 5. The photostability study showed a RSD value of 0.46 %. The repeatability study at two different concentrations of 0.2 ppm and 9 ppm was found to give RSD values of 1.07 % and 0.67 %, respectively. Cu2+ and Fe3+ cations at the ratio of 1:10 slightly interfered. The study showed a low interfering effect for almost all of the interfering anions except for F- at the ratio of 1:1 and 1:10. This system was found to give dynamic Al3+ concentration range of 0.1 – 1.0 ppm. ANN architectur with 23 hidden neurons, 40000 epochs and training rate of 0.001 has successfully extended the dynamic range of Al3+ concentration from 0.1 – 8.0 ppm. ARS reagent was successfully immobilized onto XAD 4 and showed a good optical response toward Al3+ ion.
Keywords : Alizarin red S; aluminium; artificial neural network
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