Open AccessAn intelligent optical fibre pH sensor based on sol-gel advanced material and artificial neural network
Author(s) -
Mohd Nasir Taib,
Faiz Bukhari Mohd Suah,
Musa Ahmad
Publication year - 2005
Publication title -
scientific research journal/scientific research journal
Language(s) - English
Resource type - Journals
eISSN - 2289-649X
pISSN - 1675-7009
DOI - 10.24191/srj.v2i2.9328
Subject(s) - bromophenol blue , artificial neural network , calibration , backpropagation , materials science , signal (programming language) , optical sensing , computer science , buffer (optical fiber) , biological system , analytical chemistry (journal) , artificial intelligence , chemistry , chromatography , optoelectronics , telecommunications , mathematics , statistics , biology , programming language
The application of artificial neural network (ANN) in signal processing of optical fibre pH sensor is presented. The pH sensor is developed based on the use of bromophenol blue indicator immobilized in a sol-gel thin film as a sensing material. A three layer feed-forward network was used and the network training was performed using the back-propagation algorithm. Spectra generated from the pH sensor at several selected wavelengths are used as the input for the ANN. The bromophenol blue indicator, which has a limited dynamic range of 3.00-5.50 pH units, was found to show higher pH dynamic range of 2.00-12.00 and low calibration error after training with ANN. The trained ANN was successfully employed to predict several spectra from unknown buffer solution with an average error of 0.06 pH units.