Calibration of Artificial Neural Network for Simultaneous Spectrometric Determination of Vanillin, Ethyl vanillin, Maltol and Ethyl Maltol in Food
CHEMIA ANALITYCZNA, cilt.54, sa.4, ss.795-805, 2009 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 54 Sayı: 4
- Basım Tarihi: 2009
- Dergi Adı: CHEMIA ANALITYCZNA
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Sayfa Sayıları: ss.795-805
- Süleyman Demirel Üniversitesi Adresli: Evet
Özet
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