arXiv:2601.13069eess.IVphysics.optics2026-01被引 1

用太赫兹波无损检测油菜根肿病,提前发现病害

Non-Invasive Diagnosis for Clubroot Using Terahertz Time-Domain Spectroscopy and Physics-Constrained Neural Networks

  • 结合太赫兹光谱与物理约束神经网络,识别病株组织变化
  • 感染根部在低频太赫兹区折射率蓝移,显示代谢紊乱
  • 非接触无损检测,适合田间快速筛查,适合农业科研

根肿病是危害油菜等十字花科作物的主要土传病害,特征为寄主根部形成巨大瘤状物。本研究首次将太赫兹时域光谱(THz-TDS)应用于植物病理学,实现无创诊断。相比传统分子、光谱及免疫检测方法,THz-TDS具备非接触、无损、无需样品制备的优势,可实现原位快速筛查。结果表明,该技术能通过检测结构与生化变化区分健康与感染组织:感染根部在低频太赫兹区呈现折射率蓝移,并出现特征峰,反映水运输障碍与代谢活动改变。有趣的是,根部肿大实为内部组织紊乱所致,并非含水量增加。此外,提出一种物理约束神经网络提取关键特征,结合时域信号、幅值/相位图像、折射率与吸收系数图谱及主成分分析,显著提升对比度与空间分辨率,优于原始时域或频域信号。这些发现表明,THz-TDS具有早期无损检测植物病害的巨大潜力,可有效助力农业系统中病害传播控制。

原文摘要 · Abstract (English)

Clubroot, a major soilborne disease affecting canola and other cruciferous crops, is characterized by the development of large galls on the roots of susceptible hosts. In this study, we present the first application of terahertz time-domain spectroscopy (THz-TDS) as a non-invasive diagnosis tool in plant pathology. Compared with conventional molecular, spectroscopic, and immunoassay-based methods, THz-TDS offers distinct advantages, including non-contact, non-destructive, and preparation-free measurement, enabling rapid in situ screening of plant and soil samples. Our results demonstrate that THz-TDS can differentiate between healthy and clubroot-infected tissues by detecting both structural and biochemical alterations. Specifically, infected roots exhibit a blue shift in the refractive index in the low-frequency THz range, along with distinct peaks-indicative of disruptions in water transport and altered metabolic activity in both roots and leaves. Interestingly, the characteristic root swelling observed in infected plants reflects internal tissue disorganization rather than an actual increase in water content. Furthermore, a physics-constrained neural network is proposed to extract the main feature in THz-TDS. A comprehensive evaluation, including time-domain signals, amplitude and phase images, refractive index and absorption coefficient maps, and principal component analysis, provides enhanced contrast and spatial resolution compared to raw time-domain or frequency signals. These findings suggest that THz-TDS holds significant potential for early, non-destructive detection of plant diseases and may serve as a valuable tool to limit their spread in agricultural systems.

太赫兹检测植物病害无损诊断神经网络

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