Spectrofluorimetric Determination of Ochratoxin a in Wheat and Rice Products Using an Artificial Neural Network
- Authors: Saidi A.1, Mirzaei M.1
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Affiliations:
- Department of Chemistry
- Issue: Vol 71, No 2 (2016)
- Pages: 158-162
- Section: Articles
- URL: https://journals.rcsi.science/1061-9348/article/view/181485
- DOI: https://doi.org/10.1134/S1061934816020039
- ID: 181485
Cite item
Abstract
In order to determine Ochratoxin A (OTA) levels in wheat and rice products, an analytical study based on extraction with acetonitrile–water, immunoaffinity column cleanup, and spectrofluorimetric detection for separation and identification of OTA was carried out. The performance of artificial neural networks for modeling the OTA system in spectrofluorimetry was compared with HPLC. Obtained results using these two methods did not show significant differences. Proposed method may be a good alternative to the traditional methods of OTA analysis.
Keywords
About the authors
Asiye Saidi
Department of Chemistry
Author for correspondence.
Email: asiye_saidi@yahoo.com
Iran, Islamic Republic of, Kerman, 76169
Mohammad Mirzaei
Department of Chemistry
Email: asiye_saidi@yahoo.com
Iran, Islamic Republic of, Kerman, 76169