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Behavior Study of Plant Roots under Physical Obstacles Based on a Root Obstacle Microfluidic Chip.

Journal of agricultural and food chemistry · 18 Nov 2025 · 10.1021/acs.jafc.5c08569

Abstract

The behavior study of plant roots under physical obstacles is of significant importance for comprehending how plants adapt to the changes in the soil environment. Currently, there is no satisfactory method to simulate the soil obstacle environment and track the dynamic change of the root system under physical obstacles. In this work, based on the soil compaction and mechanical obstacles encountered by the root system in the soil, an obstacle microfluidic chip with seven different channels was designed. The obstacle microfluidic chip was fully utilized to take advantage of the variable structure of microfluidic chips to design chip architectures, making it convenient to study the plasticity of root systems under various barriers. The results demonstrated that the microfluidic system's high-resolution imaging capabilities enabled the visualization and quantification of the plant root system's growth behavior in the presence of mechanical obstacles. In addition, to account for the growth resistance or pressure experienced by the roots in the soil, the models were simulated by the fluid flow within the chip. Overall, the obstacle microfluidic chips designed in this study can be used for imaging and quantifying the plasticity of plant roots, which can be an effective tool for tracking the root system's response to mechanical stress.

Plant phenotyping relevance

根系の障害物応答を高解像度画像で可視化・定量化するマイクロ流体チップを設計した研究であり、根系形態・成長の取得手法が中心的です。

abstractthere is no satisfactory method to simulate the soil obstacle environment and track the dynamic change of the root system under physical obstacles.
abstractthe microfluidic system's high-resolution imaging capabilities enabled the visualization and quantification of the plant root system's growth behavior in the presence of mechanical obstacles.
abstractthe obstacle microfluidic chips designed in this study can be used for imaging and quantifying the plasticity of plant roots

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