Dynamic modeling of famoxadone and oxathiapiprolin residue on cucumber and Chinese cabbage based on tomato and lettuce archetypes

Feng, Xiaoxiao; Pan, Lixiang; Xu, Tianheng; Jing, Jing; Zhang, Hongyan

doi:10.1016/j.jhazmat.2019.04.075

Cited by 29 publications

(22 citation statements)

References 43 publications

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“…Yu et al used UPLC-MS/MS to study the dissipation of oxathiapiprolin in grapes and soil, the half-lives of oxathiapiprolin in grapes and soil were reported at 8.6-9.2 days and 7.6-12.0 days, respectively, whereas the terminal residues in grape were 0.002(LOQ)-0.022 mg/kg after 14 days [20]. Feng et al analyzed the uptake and distribution of oxathiapiprolin, IN-WR791 and IN-E8S72 residues in tomatoes, cucumbers, lettuce, and Chinese cabbage to test the viability of applying the dynamic plant uptake model (dynamiCROP) in modeling pesticide residues in other crops [21,22]. Wang et al established a modified QuECh-ERS purification scheme, and used LC-MS/MS detection for oxathiapiprolin, IN-SXS67 and IN-E8S72 residues in cucumbers; recovery rates ranged from 77.4 to 111.3%, RSDs were 1.0−8.5%, and LOQs were 0.02 mg/kg, and the dissipation half-lives for oxathiapiprolin in cucumbers ranged from 2.4 to 4.0 days [23].…”

Section: Introductionmentioning

confidence: 99%

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Enantioselective residue analysis of oxathiapiprolin and its metabolite in tea and other crops by ultra‐high performance liquid chromatography–tandem mass spectrometry

Zhang

Sun

Wang

et al. 2020

J of Separation Science

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Oxathiapiprolin is the first chiral piperidinyl thiazole isoxazoline fungicide developed to control downy mildew and other diseases, and there were no prior reports on its enantiomeric residue. In this study, a modified quick, easy, cheap, effective, rugged, and safe extraction and purification method followed by ultrahigh performance liquid chromatography-tandem mass spectrometry determination was first developed and validated for the residue analysis of oxathiapiprolin enantiomers and its metabolite IN-E8S72 in green tea and other crops. Oxathiapiprolin enantiomers and IN-E8S72 were separated on a chiral Lux Cellulose-3 column with the use of 0.1% formic acid in acetonitrile and 5 mmol/L ammonium acetate in water as mobile phases. IN-E8S72 was eluted first, followed by (−)oxathiapiprolin, and then (+)-oxathiapiprolin. The recoveries ranged from 53.3 to 125.3% with relative standard deviations ranging from 1.4 to 16.0%. The limits of quantification for (−)-oxathiapiprolin and (+)-oxathiapiprolin were 0.005 mg/kg in romaine lettuce, head cabbage, potato, grape, and garlic, 0.01 mg/kg in soybean and pea, and 0.025 mg/kg in green tea and dry pepper. The limits of quantification of IN-E8S72 were twice those of (−)-oxathiapiprolin. Screening results with real market samples indicated that there was no enantiomeric excess in the oxathiapiprolin residue in romaine lettuce.

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Section: Introductionmentioning

confidence: 99%

“…Feng et al. analyzed the uptake and distribution of oxathiapiprolin, IN‐WR791 and IN‐E8S72 residues in tomatoes, cucumbers, lettuce, and Chinese cabbage to test the viability of applying the dynamic plant uptake model (dynamiCROP) in modeling pesticide residues in other crops [21,22]. Wang et al.…”

Section: Introductionmentioning

confidence: 99%

Enantioselective residue analysis of oxathiapiprolin and its metabolite in tea and other crops by ultra‐high performance liquid chromatography–tandem mass spectrometry

Zhang

Sun

Wang

et al. 2020

J of Separation Science

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“…39 Together, these models have guided good agricultural practices, including pesticide application methods and PHI, and improved our understanding of the fate of pesticides in different agricultural environments. However, recent studies on agrochemical concentrations and their fate in the environment have focused mainly on crops, 33,40,41 with less attention being given to the orchard environment.…”

Section: Introductionmentioning

confidence: 99%

Development and application of a numerical dynamic model for pesticide residues in apple orchards

et al. 2022

Pest Management Science

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BACKGROUND Limited understanding of the fate of pesticides in apple orchards may lead to recurring pests or pose risks to food safety. In this study, through a field experiment conducted in an apple orchard, a dynamic plant uptake model, coupled with a soil water model, was developed to simulate measured pesticide concentrations in soil and different plant compartments. RESULTS Results showed that the overall model could adequately describe the data set of four pesticides in the apple orchard. An estimated 15%–24.7% of applied pesticides were deposited on leaves and 0.37%–0.58% on fruits. Decreasing pesticide concentrations in fruits were observed after pesticide application, with 9.6%–64.8% of this decrease explained by biodegradation, 29.8%–75.8% by fruit growth dilution and 11.3%–47.6% by wash‐off. Furthermore, a first estimation of dietary risks indicated that ingestion of the apples may not represent an acute or chronic risk to human health. CONCLUSION The dynamic plant uptake model, coupled with the tipping buckets soil water model, could successfully be fitted to describe to the data set for the fate of four pesticides applied in an apple orchard. The contribution of different pathways to pesticide concentration was highly influenced by precipitation, fruit growth dilution and the characteristics of different pesticides. This model can improve our understanding of pesticide fate in apple orchards and has great potential for supporting food safety assessment and decision‐making to minimize impacts arising from pesticide applications. © 2022 Society of Chemical Industry.

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“…mineralization, soil sorption), which in turn also controls the leaching of chemicals Jacobsen et al, 2015). Researchers have developed different models for predicting the environmental fate of agricultural pesticides in food crops and plant components using different physico-chemical parameters such as degradation, phase partitioning, and intermedia transport (Kumari et al, 2022;Feng et al, 2019;Wani et al, 2019;Fantke and Jolliet, 2016). The limitations (long field trials and crop-growth periods) of DT 50 determination from lab studies have motivated researchers to discuss consumer risk assessment based on residue and half-life (HL) data using a variety of crop uptake models (Fantke et al, 2011a;Feng et al, 2019;Juraske et al, 2012).…”

mentioning

confidence: 99%

“…Researchers have developed different models for predicting the environmental fate of agricultural pesticides in food crops and plant components using different physico-chemical parameters such as degradation, phase partitioning, and intermedia transport (Kumari et al, 2022;Feng et al, 2019;Wani et al, 2019;Fantke and Jolliet, 2016). The limitations (long field trials and crop-growth periods) of DT 50 determination from lab studies have motivated researchers to discuss consumer risk assessment based on residue and half-life (HL) data using a variety of crop uptake models (Fantke et al, 2011a;Feng et al, 2019;Juraske et al, 2012). These models simulate pesticide distribution in particular crops and are used to calculate pesticides intake and related health risks for the interpretation of the consumption residues of pesticides/or their behavior in the crops and environment (e.g.…”

mentioning

confidence: 99%

Dissipation Kinetics, Residue Modeling and Human Intake of Endosulfan Applied to Okra (Abelmoschus Esculentus)

Nath

Komala

Fantke³

et al. 2022

SSRN Journal

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Dynamic modeling of famoxadone and oxathiapiprolin residue on cucumber and Chinese cabbage based on tomato and lettuce archetypes

Cited by 29 publications

References 43 publications

Enantioselective residue analysis of oxathiapiprolin and its metabolite in tea and other crops by ultra‐high performance liquid chromatography–tandem mass spectrometry

Enantioselective residue analysis of oxathiapiprolin and its metabolite in tea and other crops by ultra‐high performance liquid chromatography–tandem mass spectrometry

Development and application of a numerical dynamic model for pesticide residues in apple orchards

Dissipation Kinetics, Residue Modeling and Human Intake of Endosulfan Applied to Okra (Abelmoschus Esculentus)

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