Quantitative analysis of formaldehyde using UV-VIS spectrophotometer pattern recognition and artificial neural networks

Han Chern Loh, Kok Wai Chong, Musa Ahmad

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

This study is focused on the quantitative analysis of formaldehyde in aqueous solution using a Fluoral-P reagent and describes the characterization of the reaction, including the effect of reagent concentrations, pH, response time, dynamic range, reproducibility, photostability, and selectivity by using an ultraviolet-visible (UV-VIS) spectrophotometer. The relative standard deviation value was 1.79 to 2.12%. The dynamic range of the complex gives a linear stimulation of 0.00 to 3.60 ppm for the concentration of formaldehyde. The reproducibility of this study is high, with 1.79 and 2.12% for 20 and 40 ppm of formaldehyde, respectively. The interference from acetaldehyde (formaldehyde: acetaldehyde=1:100) was lower than 2.10%. In addition, the application of artificial neural networks to quantitative analysis for formaldehyde has also been done in this study to optimize the dynamic range of formaldehyde involved in the formation of Fluoral-P-formaldehyde complex. A three-layer feed-forward network and the back propagation algorithm-operated training process were used in this study. For quantitative analysis of formaldehyde, artificial neural networks, networking with 23 hidden neurons and 40,000 cycle numbers with 0.001% learning rate, produce the best training results, with sum-squared error value 0.5847.

Original languageEnglish
Pages (from-to)281-293
Number of pages13
JournalAnalytical Letters
Volume40
Issue number2
DOIs
Publication statusPublished - Jan 2007

Fingerprint

Spectrophotometers
Formaldehyde
Pattern recognition
Neural networks
Chemical analysis
Acetaldehyde
Recognition (Psychology)
Backpropagation algorithms
Reaction Time
Neurons
Learning

Keywords

  • Artificial neural network
  • Back propagation
  • Fluoral-P
  • Formaldehyde
  • Spectrometric

ASJC Scopus subject areas

  • Analytical Chemistry
  • Biochemistry, Genetics and Molecular Biology(all)
  • Biochemistry

Cite this

Quantitative analysis of formaldehyde using UV-VIS spectrophotometer pattern recognition and artificial neural networks. / Loh, Han Chern; Chong, Kok Wai; Ahmad, Musa.

In: Analytical Letters, Vol. 40, No. 2, 01.2007, p. 281-293.

Research output: Contribution to journalArticle

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