Processing the signals from an optical fibre pH sensor by using an artificial neural network

F. B M Suah, M. N. Taib, Musa Ahmad

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The optimisation of response range of an optical fibre pH sensor based on immobilized bromophenol blue (BPB) in silicone rubber membrane has been studied by using an artificial neural network (ANN). The absorbance spectra of the immobilized BPB were scanned out by using an optical fibre spectrophotometer at different pH values. The-absorbance data were used as an input data for the ANN training. A feedforward ANN with backpropagation error algorithm was employed. Eight input neurons, which correspond to different absorbance intensities measured at 625-800 nm, were employed. The trained network with 11 hidden neurons was accurate in predicting the response of the sensor with an average prediction error of 0.09 pH when the network was used for measuring unknown buffer solutions measurements. The application of feedforward ANN allows the expansion of the pH response range of the sensor from its limited linear range (pH 2.50-4.50) to an extensive calibration response range of pH 2.00-12.00.

Original languageEnglish
Title of host publication2002 Student Conference on Research and Development: Globalizing Research and Development in Electrical and Electronics Engineering, SCOReD 2002 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages340-343
Number of pages4
ISBN (Electronic)0780375653, 9780780375659
DOIs
Publication statusPublished - 2002
EventStudent Conference on Research and Development, SCOReD 2002 - Shah Alam, Malaysia
Duration: 16 Jul 200217 Jul 2002

Other

OtherStudent Conference on Research and Development, SCOReD 2002
CountryMalaysia
CityShah Alam
Period16/7/0217/7/02

Fingerprint

pH sensors
neural network
Optical fibers
Neural networks
Processing
Neurons
Spectrophotometers
Sensors
Backpropagation
Silicones
Rubber
Calibration
Membranes

Keywords

  • artificial neural network
  • bromophenol blue
  • Optical fibre pH sensor
  • signal processing
  • silicone rubber membrane

ASJC Scopus subject areas

  • Biomedical Engineering
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Education

Cite this

Suah, F. B. M., Taib, M. N., & Ahmad, M. (2002). Processing the signals from an optical fibre pH sensor by using an artificial neural network. In 2002 Student Conference on Research and Development: Globalizing Research and Development in Electrical and Electronics Engineering, SCOReD 2002 - Proceedings (pp. 340-343). [1033127] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SCORED.2002.1033127

Processing the signals from an optical fibre pH sensor by using an artificial neural network. / Suah, F. B M; Taib, M. N.; Ahmad, Musa.

2002 Student Conference on Research and Development: Globalizing Research and Development in Electrical and Electronics Engineering, SCOReD 2002 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2002. p. 340-343 1033127.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Suah, FBM, Taib, MN & Ahmad, M 2002, Processing the signals from an optical fibre pH sensor by using an artificial neural network. in 2002 Student Conference on Research and Development: Globalizing Research and Development in Electrical and Electronics Engineering, SCOReD 2002 - Proceedings., 1033127, Institute of Electrical and Electronics Engineers Inc., pp. 340-343, Student Conference on Research and Development, SCOReD 2002, Shah Alam, Malaysia, 16/7/02. https://doi.org/10.1109/SCORED.2002.1033127
Suah FBM, Taib MN, Ahmad M. Processing the signals from an optical fibre pH sensor by using an artificial neural network. In 2002 Student Conference on Research and Development: Globalizing Research and Development in Electrical and Electronics Engineering, SCOReD 2002 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2002. p. 340-343. 1033127 https://doi.org/10.1109/SCORED.2002.1033127
Suah, F. B M ; Taib, M. N. ; Ahmad, Musa. / Processing the signals from an optical fibre pH sensor by using an artificial neural network. 2002 Student Conference on Research and Development: Globalizing Research and Development in Electrical and Electronics Engineering, SCOReD 2002 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2002. pp. 340-343
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