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Amira Mohamed Taher Hegazy, Speaker at Catalysis Conferences
Beni-Suef University, Egypt
Title : Development and validation of two robust simple chromatographic methods for estimation of tomatoes specific pesticides’ residues for safety monitoring prior to food processing line and evaluation of local samples

Abstract:

Plant infestation by pets is one of the worst effects of bacteria and fungi on human food. Plants as a primary food resource are critical for human muscle building and mental health. Many farmers worldwide misuse the pesticides’ mixtures to keep crops, fruits, and vegetables uninjured, fight grown bacteria and fungi or produce abundant high-quality issues the pesticides’ mixtures to keep crops, fruits, and vegetables uninjured, fighting grown bacteria and fungi or to produce abundant high-quality agricultural products. Detecting and analyzing pesticide residual traces could be a crucial issue. Much instrumental weather coupled with Mass or not could be used for the process of estimation. Not only is the estimation of residual insecticides critical in labs of official institutions in the authority of citizen health but also in labs on exporting-importing boundaries between countries.es. 

Fresh or processed tomatoes are the most common constituent in our dining tables. Combination of pesticides; acetamiprid, flutolanil and etofenprox are usually used for tomato fruits for protecting them against pest infection. Two specific simple sensitive chromatographic methods are developed for simultaneous estimation of the concerning pesticides’ residues using simple economic steps of field sample preparation. The first method is HP- TLC method. Hexane: methanol: acetone: glacial acetic acid (8:2:0.5:0.1, by volume) is proposed as a developing system. The second one is RP- HPLC. Acetonitrile: water (75:25, v/v) is proposed as a mobile phase. The recommended methods are completely validated regarding ICH guidelines. Their means percentages and standard deviations of accuracy range 100.32 ± 0.89 to 99.27 ± 0.9. The methods’ repeatability and intermediate precision relative standard deviation percentages range 0.395–0.894. They are successfully applied for estimating the pesticides in pure and commercial forms and field samples. 

Biography:

Asso. Prof. Amira Hegazy studied pharmaceutical sciences and graduated with an MS at Cairo University, Egypt. She then joined the research group of Prof. Raimar Loebenberg (Director of the Drug Development and Innovation Center), School of Pharmacy, University of Alberta, Canada, after receiving a scholarship award from her country for her excellence. She obtained a postdoctoral clinical training program at Harvard Medical School. She has published many research articles in highly reputable and impacted journals. She is an editor at many journals and reviews articles for many top journals. 

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