Extending the dynamic range of capsaicin concentration in free solution using an artificial neural network

Mohamad Nasir Mat Arip, Musa Ahmad, Ahmed Mahir Mokhtar, Mohd Nasir Taib, Yook Heng Lee

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

2 Citations (Scopus)

Abstract

An artificial neural network (ANN) has been applied for quantitative study on the determination of capsaicin. Two methods have been used i.e. direct determination of capsaicin without using any reagent and capsaicin determination based on complex formation by using 2,6-Dichloro-p-benzoquinone-4-chloroimide (Gibbs reagent). UV-Vis spectrophotometer has been used in both methods. For determination of capsaicin without using any reagent, it was found that ANN with optimum architecture of eleven hidden neurons, 0.00001% learning rate, 100000 cycles was able to extend the dynamic range of capsaicin from 0-200 ppm to a larger range of 0-600 ppm. For the determination of capsaicin in Gibbs reagent solution, a neural network with twenty hidden neurons, 0.00001% learning rate, 47738 cycles produced the best result. This optimum architecture extended the narrow linear range of capsaicin from 0-200 ppm to 0-600 ppm.

Original languageEnglish
Title of host publication2003 Asian Conference on Sensors, AsiaSENSE 2003
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages179-183
Number of pages5
ISBN (Print)0780381017, 9780780381018
DOIs
Publication statusPublished - 2003
Event2003 Asian Conference on Sensors, AsiaSENSE 2003 - Kebangsann, Malaysia
Duration: 18 Jul 2003 → …

Other

Other2003 Asian Conference on Sensors, AsiaSENSE 2003
CountryMalaysia
CityKebangsann
Period18/7/03 → …

Fingerprint

Neural networks
Neurons
Ultraviolet spectrophotometers

Keywords

  • Absorption
  • Artificial neural networks
  • Dynamic range
  • Ethanol
  • Intelligent networks
  • Neural networks
  • Neurons
  • Pharmaceuticals
  • Spraying
  • Wavelength measurement

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Arip, M. N. M., Ahmad, M., Mokhtar, A. M., Taib, M. N., & Lee, Y. H. (2003). Extending the dynamic range of capsaicin concentration in free solution using an artificial neural network. In 2003 Asian Conference on Sensors, AsiaSENSE 2003 (pp. 179-183). [1225015] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ASENSE.2003.1225015

Extending the dynamic range of capsaicin concentration in free solution using an artificial neural network. / Arip, Mohamad Nasir Mat; Ahmad, Musa; Mokhtar, Ahmed Mahir; Taib, Mohd Nasir; Lee, Yook Heng.

2003 Asian Conference on Sensors, AsiaSENSE 2003. Institute of Electrical and Electronics Engineers Inc., 2003. p. 179-183 1225015.

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

Arip, MNM, Ahmad, M, Mokhtar, AM, Taib, MN & Lee, YH 2003, Extending the dynamic range of capsaicin concentration in free solution using an artificial neural network. in 2003 Asian Conference on Sensors, AsiaSENSE 2003., 1225015, Institute of Electrical and Electronics Engineers Inc., pp. 179-183, 2003 Asian Conference on Sensors, AsiaSENSE 2003, Kebangsann, Malaysia, 18/7/03. https://doi.org/10.1109/ASENSE.2003.1225015
Arip MNM, Ahmad M, Mokhtar AM, Taib MN, Lee YH. Extending the dynamic range of capsaicin concentration in free solution using an artificial neural network. In 2003 Asian Conference on Sensors, AsiaSENSE 2003. Institute of Electrical and Electronics Engineers Inc. 2003. p. 179-183. 1225015 https://doi.org/10.1109/ASENSE.2003.1225015
Arip, Mohamad Nasir Mat ; Ahmad, Musa ; Mokhtar, Ahmed Mahir ; Taib, Mohd Nasir ; Lee, Yook Heng. / Extending the dynamic range of capsaicin concentration in free solution using an artificial neural network. 2003 Asian Conference on Sensors, AsiaSENSE 2003. Institute of Electrical and Electronics Engineers Inc., 2003. pp. 179-183
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