Calibration of Artificial Neural Network for Simultaneous Spectrometric Determination of Vanillin, Ethyl vanillin, Maltol and Ethyl Maltol in Food

AKTAŞ A. H., AYDOGDU S.

CHEMIA ANALITYCZNA, vol.54, no.4, pp.795-805, 2009 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 54 Issue: 4
  • Publication Date: 2009
  • Journal Name: CHEMIA ANALITYCZNA
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.795-805
  • Süleyman Demirel University Affiliated: Yes

Abstract

Artificial neural network (ANN) trained by back-propagation learning was applied to process spectrometric cess spectrometric data for mixed maltol, ethyl maltol, vanillin and ethyl vanillin By optimizing the network structure the accuracy was enhanced The ANN-based method was used for the simultaneous determination of mixed maltol, ethyl maltol, vanillin and ethyl vanillin in commercial products with satisfactory results It may also provide a new approach to spectrophotometric determination of these compounds in synthetic food without any preliminary chemical separation The aim of this work was to apply the ANN-based methods to resolve the UV spectra of maltol, ethyl maltol, vanillin, and ethyl vanillin present as a mixture in commercial products. The proposed methods are fast, easy to apply, inexpensive, and suitable for the analysis of colorants in commercial products Moreover. they are sensitive and selective