Potentiometric determination of ibuprofen, indomethacin and naproxen using an artificial neural network calibration

Abstract

In this study, three anti-inflammatory agents, namely ibuprofen, indomethacin and naproxen, were titrated potentiometrically using tetrabutylammonium hydroxide in acetonitrile solvent under a nitrogen atmosphere at 25 °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 %.

Simultaneous Spectrophotometric Determination of Diclofenac Sodium, Paracetamol, and Chlorzoxazone in Ternary Mixture Using Chemometric and Artificial Neural Networks Techniques

“…ANN analyses are currently perceived as an efficient and advantageous way to handle complex data and solve problems of non-linear calibration, pattern recognition, classification, prediction, and other related fields in analytical chemistry. Both linear and non-linear mapping functions can be modeled by suitably designing the network [38]. In this work, cascade-forward backpropagation ANN (CFBP-ANN) was used for the simultaneous determination of the cited three drugs in their ternary mixture with good accuracy and precision.…”

Does chemometrics enhance the performance of electroanalysis?

“…The principal components of the measured data matrix were used as the input of the network and the optimized model was used to predict the concentrations of the acids in synthetic mixtures with an average %RPE < 4.18. The same method was also applied to resolve the potentiometric titration data of ibuprofen, indomethacin and naproxen with an average %RPE < 2.30 [27].…”

Simultaneous Titration of Ternary Mixtures of Pb(II), Cd(II) and Cu(II) with Potentiometric Electronic Tongue Detection

“…In another example, an Artificial Neural Network-Back Propagation (ANN-BP) model was applied to potentiometric titration data for the resolution of polybasic acid mixtures by Shamsipur et al [3]. The integration of Principal Component Analysis (PCA) with ANNs has been reported as satisfactory approach to resolve mixtures of acids (p-coumaric, sinapinic, vanillic, and isovanillic acids) [4] and drugs (ibuprofen, indomethacin and naproxen) [5].…”