Spectrofluorimetric Determination of Ochratoxin a in Wheat and Rice Products Using an Artificial Neural Network
- 作者: Saidi A.1, Mirzaei M.1
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隶属关系:
- Department of Chemistry
- 期: 卷 71, 编号 2 (2016)
- 页面: 158-162
- 栏目: Articles
- URL: https://journals.rcsi.science/1061-9348/article/view/181485
- DOI: https://doi.org/10.1134/S1061934816020039
- ID: 181485
如何引用文章
详细
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.
作者简介
Asiye Saidi
Department of Chemistry
编辑信件的主要联系方式.
Email: asiye_saidi@yahoo.com
伊朗伊斯兰共和国, Kerman, 76169
Mohammad Mirzaei
Department of Chemistry
Email: asiye_saidi@yahoo.com
伊朗伊斯兰共和国, Kerman, 76169