Literature DB >> 33657482

Optimization of a rice cooking method using response surface methodology with desirability function approach to minimize pesticide concentration.

María Belén Medina1, Silvia Liliana Resnik2, Martín Sebastián Munitz3.   

Abstract

Rice is contaminated with pesticides applied in pre and post-harvest. These contaminations could be reduced through household operations like washing and cooking. Therefore, in the present research, a pre-soaking rice cooking method was used to reduce pesticides residues. Response Surface Methodology with Central Composite Design was applied to minimize pesticides concentration by choosing the best soaking time and water:rice grain relation before cooking. A quadratic polynomial equation was obtained. Desirability function approach gave the optimal cooking conditions as 14 h soaking time and water:rice grain relation of 3. This process allowed a pesticide elimination of 100.0%, 93.5%, 98.4%, 98.5%, 99.0%, and 95.0%, of azoxystrobin, cyproconazole, deltamethrin, epoxiconazole, kresoxim-methyl and penconazole, respectively.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Chromatographic determination; Pesticide residues; Response surface methodology; Rice cooking method

Mesh:

Substances:

Year:  2021        PMID: 33657482     DOI: 10.1016/j.foodchem.2021.129364

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  3 in total

1.  Boiling, Blanching, and Stir-Frying Markedly Reduce Pesticide Residues in Vegetables.

Authors:  Kamonrat Phopin; Sompon Wanwimolruk; Chosita Norkaew; Jaruwat Buddhaprom; Chartchalerm Isarankura-Na-Ayudhya
Journal:  Foods       Date:  2022-05-18

2.  Optimization of Biodegradation Characteristics of Sphingopyxis sp. YF1 against Crude Microcystin-LR Using Response Surface Methodology.

Authors:  Isaac Yaw Massey; Tangjian Peng; Cai Danping; Fei Yang
Journal:  Toxins (Basel)       Date:  2022-03-27       Impact factor: 5.075

3.  Study on the optimal position of the roof low roadway based on the response surface methodology.

Authors:  Hongqing Zhu; Shuhao Fang; Yujia Huo; Qi Liao; Lintao Hu; Yilong Zhang; Feng Li
Journal:  Sci Rep       Date:  2021-07-15       Impact factor: 4.379

  3 in total

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