Applications of artificial neural network on signal processing of optical fibre pH sensor based on bromophenol blue doped with sol-gel film

Faiz Bukhari Mohd Suah, Musa Ahmad, Mohd Nasir Taib

Research output: Contribution to journalArticle

49 Citations (Scopus)

Abstract

In this paper, the applications 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 (BPB) 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 (BP) algorithm. Spectra generated from the pH sensor at several selected wavelengths are used as the input data 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 with low calibration error after training with ANN. The enhanced ANN could be used to predict the new measurement spectra from unknown buffer solution with an average error of 0.06 pH units. Changes of ionic strength showed minor effect on the dynamic range of the sensor. The sensor also demonstrated good analytical performance with repeatability and reproducibility characters of the sensor yield relative standard deviation (R.S.D.) of 3.6 and 5.4%, respectively. Meanwhile the R.S.D. value for this photostability test is 2.4% and it demonstrated no hysteresis when the sensor was cycled from pH 2.00-12.00-2.00 (acid-base-acid region) of different pH. Performance tests demonstrated a response time of 15-150s, depending on the pH and quantity of the immobilized indicator.

Original languageEnglish
Pages (from-to)182-188
Number of pages7
JournalSensors and Actuators, B: Chemical
Volume90
Issue number1-3
DOIs
Publication statusPublished - 20 Apr 2003

Fingerprint

Bromphenol Blue
pH sensors
Sol-gels
Optical fibers
signal processing
Signal processing
optical fibers
gels
Neural networks
sensors
Sensors
Acids
dynamic range
Backpropagation algorithms
Ionic strength
Hysteresis
Buffers
standard deviation
Calibration
education

Keywords

  • Artificial neural network
  • Bromophenol blue
  • Optical fibre pH sensor
  • PH indicator
  • Signal processing
  • Sol-gel

ASJC Scopus subject areas

  • Analytical Chemistry
  • Electrochemistry
  • Electrical and Electronic Engineering

Cite this

Applications of artificial neural network on signal processing of optical fibre pH sensor based on bromophenol blue doped with sol-gel film. / Suah, Faiz Bukhari Mohd; Ahmad, Musa; Taib, Mohd Nasir.

In: Sensors and Actuators, B: Chemical, Vol. 90, No. 1-3, 20.04.2003, p. 182-188.

Research output: Contribution to journalArticle

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