| dc.creator |
AKTAŞ, Ahmet Hakan |
|
| dc.creator |
AYDOGDU, Sibel |
|
| dc.date |
2008-12-31T22:00:00Z |
|
| dc.date.accessioned |
2020-10-06T10:31:08Z |
|
| dc.date.available |
2020-10-06T10:31:08Z |
|
| dc.identifier |
6a62cb98-4b21-473e-9756-62d184054219 |
|
| dc.identifier |
https://avesis.sdu.edu.tr/publication/details/6a62cb98-4b21-473e-9756-62d184054219/oai |
|
| dc.identifier.uri |
http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/62548 |
|
| dc.description |
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 |
|
| dc.language |
eng |
|
| dc.rights |
info:eu-repo/semantics/closedAccess |
|
| dc.title |
Calibration of Artificial Neural Network for Simultaneous Spectrometric Determination of Vanillin, Ethyl vanillin, Maltol and Ethyl Maltol in Food |
|
| dc.type |
info:eu-repo/semantics/article |
|