Literature DB >> 33729792

Improving Pesticide Uptake Modeling into Potatoes: Considering Tuber Growth Dynamics.

Shenglan Xiao1, Yishu Gong2, Zijian Li1, Peter Fantke3.   

Abstract

To explore pesticide uptake from soil into a growing potato, a moving-boundary dynamic model is proposed on the basis of the radical diffusion process of a chemical to a sphere. This model, which considers the logistic growth of the potato tuber, describes two hypothetical processes of chemical diffusion within a growing tuber. The model was tested in an illustrative case study for an application of chlorpyrifos. Results indicate that the distribution of chlorpyrifos concentrations along the potato radius is significantly affected by the tuber development. In comparison of our results to results from a classic model using a fixed boundary, the proposed dynamic model yields a quick and big jump for both the average concentration and bioconcentration factor (BCF) of chlorpyrifos in the potato as a result of the sigmoid expansion boundary. Overall, the dynamic model predicts that chlorpyrifos BCFs in the potato at harvest are higher than those using the classical model. In comparison of model results to measured uptake of chlorpyrifos into potato at harvest, the dynamic model shows better performance than the classical model. Our results provide a new perspective on pesticide uptake into potatoes and inform human health risk assessment for pesticides applied at different tuber growth stages.

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Keywords:  crop contaminations; diffusion process; logistic growth; soil pollution; uptake model

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Year:  2021        PMID: 33729792     DOI: 10.1021/acs.jafc.1c00151

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  1 in total

1.  Nanopesticide Formulation from Pyraclostrobin and Graphene Oxide as a Nanocarrier and Application in Controlling Plant Fungal Pathogens.

Authors:  Fei Peng; Xiuping Wang; Wenjing Zhang; Xuejuan Shi; Caihong Cheng; Wenlong Hou; Xiaohu Lin; Xiaolu Xiao; Jun Li
Journal:  Nanomaterials (Basel)       Date:  2022-03-28       Impact factor: 5.076

  1 in total

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