Simultaneous spectrophotometric determination of tartrazine, sunset yellow and allura red in commercial products by artificial neural network calibration | Health & Environmental Research Online (HERO)

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Citation
Tags

HERO ID

6400538

Reference Type

Journal Article

Title

Simultaneous spectrophotometric determination of tartrazine, sunset yellow and allura red in commercial products by artificial neural network calibration

Author(s)

Aktas, AH; Pekcan, G

Year

2006

Is Peer Reviewed?

Yes

Journal

Asian Journal of Chemistry
ISSN: 0970-7077
EISSN: 0975-427X

Volume

Issue

Page Numbers

2025-2031

Web of Science Id

WOS:000238892000054

Abstract

The artificial neural network (ANN) trained by back-propagation learning was applied to process spectrophotometric data of mixed tartrazine, sunset yellow and allura red. By optimizing the network structure, accuracy was enhanced. The aim of this work is to propose the application of ANN methods to resolve mixtures of colorants in commercial products by using solid phase spectrophotometry. The proposed methods are rapid, easy to apply, inexpensive and suitable for analyzing the colorants in commercial products. The method takes advantage of sensitivity and selectivity.<

Keywords

UV-Vis spectra; simultaneous determination; artificial neural network