Literature DB >> 27820667

Dissipation of difenoconazole in apples used for production of baby food.

Ewa Szpyrka1, Stanisław Walorczyk2.   

Abstract

Dissipation of fungicide difenoconazole (3-chloro-4-[(2RS,4RS;2RS,4SR)-4-methyl-2-(1H-1,2,4-triazol-1-ylmethyl)-1,3-dioxolan-2-yl]phenyl 4-chlorophenyl ether) was studied following its application on apples intended for production of baby food. The apples (varieties: Jonagold Decosta, Gala and Idared) were sprayed with the formulation to control pathogens causing fungal diseases: powdery mildew (Podosphaera leucotricha ELL et Ev./Salm.) and apple scab (Venturia inaequalis Cooke/Aderh.). A validated gas chromatography-based method with simultaneous electron capture and nitrogen phosphorus detection (GC-ECD/NPD) was used for the residue analysis. The analytical performance of the method was highly satisfactory, with expanded uncertainties ≤ 19% (a coverage factor, k = 2, and a confidence level of 95%). The dissipation of difenoconazole was studied in pseudo-first-order kinetic models (for which the coefficients of determination, R2, ranged between 0.880 and 0.977). The half-life of difenoconazole was 12-21 days in experiments conducted on three apple varieties. In these experiments, the initial residue levels declined gradually and reached the level of 0.01 mg kg-1 in 50-79 days. For the residue levels to remain below 0.01 mg kg-1 (the maximum acceptable concentration for baby foods), difenoconazole must be applied approximately 3 months before harvest, at a dose of 0.2 L ha-1 (50 g of an active ingredient per ha).

Entities:  

Keywords:  Difenoconazole; apple; baby food; dissipation; gas chromatography; residue

Mesh:

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Year:  2016        PMID: 27820667     DOI: 10.1080/03601234.2016.1248141

Source DB:  PubMed          Journal:  J Environ Sci Health B        ISSN: 0360-1234            Impact factor:   1.990


  2 in total

1.  Sperm quality of rats exposed to difenoconazole using classical parameters and surface-enhanced Raman scattering: classification performance by machine learning methods.

Authors:  Viviane Ribas Pereira; Danillo Roberto Pereira; Kátia Cristina de Melo Tavares Vieira; Vitor Pereira Ribas; Carlos José Leopoldo Constantino; Patrícia Alexandra Antunes; Ana Paula Alves Favareto
Journal:  Environ Sci Pollut Res Int       Date:  2019-11-07       Impact factor: 4.223

2.  Transfer of the Active Ingredients of Some Plant Protection Products from Raspberry Plants to Beehives.

Authors:  Bartosz Piechowicz; Ewa Szpyrka; Lech Zaręba; Magdalena Podbielska; Przemysław Grodzicki
Journal:  Arch Environ Contam Toxicol       Date:  2017-12-15       Impact factor: 2.804

  2 in total

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