Application of Artificial Neural Network on Optical Method for Salicylic Acid Determination by Using Copper#

Abstract

A simple and rapid spectrophotometric method for salicylic acid (SA) determination has been carried out based on complexation. In this study, copper(II) acetate was used as a reagent. SA form a stable yellowish green complex with copper(II) acetate at pH 7. The useful dynamic range is 0.02 g/l–0.30 g/l. It has a maximum absorption at 397 nm and is stable for more than 50 h. The results were used to train up artificial neural networks (ANNs) for data optimisation. For training and validation, the Bayesian Regularization (BR) method and leave one out cross‐validation method were used, respectively. The model scores a correlation and summation of squared error (SSE) skill of 0.9993 and 1.5322 × 10−4 g/l, respectively, for two hidden neurons. The average predicted error is small (3.77 × 10−3 g/L). The Scholarship of National Science Fellowship (NSF) to Han Chern Loh from the Ministry of Science, Technology and Environment (MOSTE), Malaysia is greatly acknowledged.