Evaluation of an optical phenolic biosensor signal employing artificial neural networks

Jaafar Abdullah, Musa Ahmad, Yook Heng Lee, Nadarajah Karuppiah, Hamidah Sidek

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

This paper presents artificial neural network (ANN)-based evaluation in signal processing of an optical phenolic biosensor. The biosensor was developed based on stacked immobilization of 3-methyl-2-benzothiazolinone hydrazone (MBTH) in hybrid Nafion/sol-gel silicate and tyrosinase in chitosan. The biosensor signal was simulated employing a feed-forward neural network with three layers and trained using back-propagation (BP) algorithm. Spectra generated from an optical phenolic biosensor at selected wavelengths were used as input data for ANN. The network architecture of 5 inputs neurons, 21 hidden neurons and 1 output neuron was found suitable for this application. The results show very good agreement between phenol concentration values obtained by using the developed biosensor and those predicted by ANN.

Original languageEnglish
Pages (from-to)959-965
Number of pages7
JournalSensors and Actuators, B: Chemical
Volume134
Issue number2
DOIs
Publication statusPublished - 25 Sep 2008

Fingerprint

bioinstrumentation
Biosensors
Neural networks
neurons
evaluation
Neurons
Silicates
hydrazones
Monophenol Monooxygenase
Backpropagation algorithms
Feedforward neural networks
Chitosan
Phenol
Network architecture
immobilization
phenols
Phenols
Sol-gels
signal processing
silicates

Keywords

  • Artificial neural network
  • MBTH
  • Optical biosensor
  • Phenol

ASJC Scopus subject areas

  • Analytical Chemistry
  • Electrochemistry
  • Electrical and Electronic Engineering

Cite this

Evaluation of an optical phenolic biosensor signal employing artificial neural networks. / Abdullah, Jaafar; Ahmad, Musa; Lee, Yook Heng; Karuppiah, Nadarajah; Sidek, Hamidah.

In: Sensors and Actuators, B: Chemical, Vol. 134, No. 2, 25.09.2008, p. 959-965.

Research output: Contribution to journalArticle

Abdullah, Jaafar ; Ahmad, Musa ; Lee, Yook Heng ; Karuppiah, Nadarajah ; Sidek, Hamidah. / Evaluation of an optical phenolic biosensor signal employing artificial neural networks. In: Sensors and Actuators, B: Chemical. 2008 ; Vol. 134, No. 2. pp. 959-965.
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