An intelligent optical fibre pH sensor based on sol-gel advanced material and artificial neural network / Mohd Nasir Taib, Faiz Bukhari Mohd Suah and Musa Ahmad

Taib, Mohd Nasir and Mohd Suah, Faiz Bukhari and Ahmad, Musa (2005) An intelligent optical fibre pH sensor based on sol-gel advanced material and artificial neural network / Mohd Nasir Taib, Faiz Bukhari Mohd Suah and Musa Ahmad. Scientific Research Journal, 2 (2). pp. 1-15. ISSN 1675-7009

Official URL: https://srj.uitm.edu.my/

Abstract

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.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Taib, Mohd Nasir
dr.nasir@ieee.org
Mohd Suah, Faiz Bukhari
UNSPECIFIED
Ahmad, Musa
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Neural networks (Computer science)
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Optical fibers
Divisions:
Journal or Publication Title: Scientific Research Journal
UiTM Journal Collections: UiTM Journal > Scientific Research Journal (SRJ)
ISSN: 1675-7009
Volume: 2
Number: 2
Page Range: pp. 1-15
Keywords: Artificial neural network; Optical fibre pH sensor; Signal processing; Sol-gel; pH indicator; bromophenol blue
Date: 2005
URI: https://ir.uitm.edu.my/id/eprint/12802
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12802

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