果蔬中农药残留超标问题已成为影响农产品安全的重要因素之一，迫切需要一种准确性高的快速无损检测方法以满足农药残留检测的需求。本项目拟以草莓种植中最常用的除虫菊酯类农药为检测目标物，结合太赫兹成像技术和柔性超材料功能器件，研究农药残留的太赫兹成像快速无损检测机理和方法。拟深入研究太赫兹波与农药分子的互作机理，揭示柔性超材料对农药太赫兹波谱的影响规律；研究柔性太赫兹超材料与草莓表面的互作机理，制备贴合于草莓表面的柔性太赫兹超材料，并建立适用于草莓表面农药残留检测的太赫兹成像方法；阐述太赫兹图像特征与农药种类和含量的关系，建立农药残留的定性定量检测模型，最终实现草莓表面农药残留的快速无损检测。本项目旨在发展一种农药残留检测新方法，进一步提高检测精度，并实现对多种农药的同步快速无损检测。研究成果有望应用于农业领域，具有一定的学术价值和广阔的应用前景。

Recently, excessive pesticide residue in fruits and vegetables has become one of the major challenges to agro-products safety. There is an urgent demand to establish a reliable, rapid, and nondestructive method for the determination of pesticide residues, aiming to meet the current safety requirements in our country. In this context, we aim to investigate the mechanism and develop a corresponding method for pesticide residues detection based on terahertz imaging technology combined with flexible functional metamaterial devices, with pyrethroids, the most commonly used insecticide in strawberry cultivation, as the detection target. The interaction mechanism between terahertz waves and pesticide molecules will be intensively investigated. The influence of flexible metamaterials on terahertz spectra of pesticide molecules will be revealed. The interaction mechanism between flexible terahertz metamaterial device and strawberry surface will also be intensively investigated. The flexible terahertz metamaterials applied to the strawberry surface will be designed and fabricated, and a corresponding terahertz imaging method will be suitably established for the detection of pesticide residues on the strawberry surface. Based on above research, the correlation between terahertz image features and pesticide category and content will be analyzed. Quantitative and qualitative models will be accordingly developed to achieve the rapid and nondestructive detection of pesticide residues on the strawberry surface. The ultimate goal of this project is to develop a novel technique for the synchronous detection of multiple pesticides with improved accuracy. The research results are expected to be applied in the field of agriculture. It has some academic value and broad application prospect.