Spectrofluorimetric Determination of Ochratoxin a in Wheat and Rice Products Using an Artificial Neural Network

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• 作者：Asiye Saidi ; Mohammad Mirzaei
• 关键词：Ochratoxin A ; artificial neural network ; HPLC ; wheat ; rice ; immunoaffinity column
• 刊名：Journal of Analytical Chemistry
• 出版年：2016
• 出版时间：February 2016
• 年：2016
• 卷：71
• 期：2
• 页码：158-162
• 全文大小：329 KB
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• 作者单位：Asiye Saidi (1)
  Mohammad Mirzaei (1)
  
  1. Department of Chemistry, Shahid Bahonar University of Kerman 22 Bahman Boulevard, Kerman, 76169, Iran
  
• 刊物类别：Chemistry and Materials Science
• 刊物主题：Chemistry
  Analytical Chemistry
  Russian Library of Science
  
• 出版者：MAIK Nauka/Interperiodica distributed exclusively by Springer Science+Business Media LLC.
• ISSN：1608-3199

文摘

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.