Tredenick Eloise C, Farrell Troy W, Forster W Alison, Psaltis Steven T P
School of Mathematical Sciences, Queensland University of TechnologyBrisbane, QLD, Australia.
ARC Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS), Queensland University of TechnologyBrisbane, QLD, Australia.
Front Plant Sci. 2017 May 10;8:746. doi: 10.3389/fpls.2017.00746. eCollection 2017.
The agricultural industry requires improved efficacy of sprays being applied to crops and weeds in order to reduce their environmental impact and deliver improved financial returns. Enhanced foliar uptake is one means of improving efficacy. The plant leaf cuticle is known to be the main barrier to diffusion of agrochemicals within the leaf. The usefulness of a mathematical model to simulate uptake of agrochemicals in plant cuticles has been noted previously in the literature, as the results of each uptake experiment are specific to each formulation of active ingredient, plant species and environmental conditions. In this work we develop a mathematical model and numerical simulation for the uptake of hydrophilic ionic agrochemicals through aqueous pores in plant cuticles. We propose a novel, nonlinear, porous diffusion model for ionic agrochemicals in isolated cuticles, which extends simple diffusion through the incorporation of parameters capable of simulating: plant species variations, evaporation of surface droplet solutions, ion binding effects on the cuticle surface and swelling of the aqueous pores with water. We validate our theoretical results against appropriate experimental data, discuss the key sensitivities in the model and relate theoretical predictions to appropriate physical mechanisms. Major influencing factors have been found to be cuticle structure, including tortuosity and density of the aqueous pores, and to a lesser extent humidity and cuticle surface ion binding effects.
农业产业需要提高喷洒到农作物和杂草上的喷雾效果,以减少其对环境的影响并带来更高的经济回报。增强叶面吸收是提高效果的一种方法。已知植物叶片角质层是农用化学品在叶片内扩散的主要障碍。正如之前文献中所指出的,数学模型对于模拟农用化学品在植物角质层中的吸收很有用,因为每次吸收实验的结果都特定于每种活性成分配方、植物物种和环境条件。在这项工作中,我们开发了一个数学模型和数值模拟,用于亲水性离子农用化学品通过植物角质层中的水孔的吸收。我们为离体角质层中的离子农用化学品提出了一种新颖的非线性多孔扩散模型,该模型通过纳入能够模拟以下内容的参数扩展了简单扩散:植物物种差异、表面液滴溶液的蒸发、角质层表面的离子结合效应以及水孔因水而发生的膨胀。我们根据适当的实验数据验证了我们的理论结果,讨论了模型中的关键敏感性,并将理论预测与适当的物理机制联系起来。已发现主要影响因素是角质层结构,包括水孔的曲折度和密度,湿度和角质层表面离子结合效应的影响较小。