Potentiometric determination of ibuprofen, indomethacin and naproxen using an artificial neural network calibration
JOURNAL OF THE SERBIAN CHEMICAL SOCIETY, cilt.73, sa.1, ss.87-95, 2008 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 73 Sayı: 1
- Basım Tarihi: 2008
- Doi Numarası: 10.2298/jsc0801087a
- Dergi Adı: JOURNAL OF THE SERBIAN CHEMICAL SOCIETY
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Sayfa Sayıları: ss.87-95
- Süleyman Demirel Üniversitesi Adresli: Evet
Özet
In this Study, three anti-inflammatory agents, namely ibuprofen, indomethacin and naproxen, were titrated potentiometrically using tetrabutyl-ammonium hydroxide in acetonitrile solvent under a nitrogen atmosphere at 25 degrees C. MATLAB 7.0 software was applied for data treatment as a multivariate calibration tool in the potentiometric titration procedure. An artificial neural network (ANN) was used as a multivariate calibration tool in the potentiometric titration to model the complex non-linear relationship between ibuprofen, indomethacin and naproxen concentrations and the millivolt (mV) of the solutions measured after the addition of different volumes of the titrant. The optimized network predicted the concentrations of agents in synthetic mixtures. The results showed that the employed ANN can precede the titration data with an average relative error of prediction of less than 2.30%.