Rahman Mohamed Abdur, Karthikeyan Muthusamy, Johnson Iruthayasamy, Raja Kalimuthu, Sekar Chinnathambi, Mary Xavier Anitha, Basha Jaffer Shajith
Department of Plant Pathology, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, 641003, India.
Department of Plant Pathology, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, 641003, India; Centre for Crop Health, School of Agriculture and Environmental Science, University of Southern Queensland, Toowoomba, 4350, Australia.
Anal Biochem. 2025 Oct;705:115925. doi: 10.1016/j.ab.2025.115925. Epub 2025 Jun 16.
The increasing global population and rising demands for food production require innovative approaches for managing crop losses caused by plant diseases. Conventional diagnostic methods are often limited by time-consuming protocols, lack of real-time monitoring, and the need for specialized laboratory infrastructure. Meanwhile, sensor technology has emerged as a promising tool for early detection and diagnosis of plant diseases. Sensor technology offers rapid, real-time, high sensitivity, and specificity in diagnosing plant diseases. This review comprehensively presents various biosensors based on biorecognition elements and transducer types. It emphasizes the pivotal role of nanotechnology in enhancing biosensor performance through improved conductivity, surface reactivity, and miniaturization, particularly for plant disease detection. Additionally, electronic nose (E-nose) sensors detecting pathogen-induced volatile organic compounds (VOCs) are highlighted for their potential in non-invasive, early-stage diagnosis. The review also discusses the application of nanobiosensors in agriculture for detecting pesticide residues, toxins, and agrochemicals. Metal oxide nanoparticles (MONPs) are recognized for their multifunctional roles in agriculture and environmental remediation, owing to their unique structural and electronic properties. Furthermore, recent advances in photoelectrocatalysis (PEC), which combines light and applied voltage to degrade toxic pollutants via reactive oxygen species (ROS), are examined. Finally, the ultrasensitive Rolling Circle Amplification-Enabled Point-of-Care Test (RCA-POCT) for rapid detection of aflatoxin B1 in food and environmental samples is presented, utilizing biotin-streptavidin interactions coupled with nucleic acid amplification. Alon with challenges and future prospects, underscoring the transformative potential of these technologies in precision agriculture through rapid, in-field detection benefiting farmers, researchers, and scientists.
全球人口的不断增长以及对粮食生产需求的增加，需要创新方法来管理由植物病害导致的作物损失。传统诊断方法往往受限于耗时的流程、缺乏实时监测以及对专业实验室基础设施的需求。与此同时，传感器技术已成为早期检测和诊断植物病害的一种有前景的工具。传感器技术在诊断植物病害方面具有快速、实时、高灵敏度和特异性的特点。本综述全面介绍了基于生物识别元件和换能器类型的各种生物传感器。它强调了纳米技术在通过改善导电性、表面反应性和小型化来提高生物传感器性能方面的关键作用，特别是在植物病害检测方面。此外，检测病原体诱导的挥发性有机化合物（VOCs）的电子鼻（E-nose）传感器因其在非侵入性早期诊断中的潜力而受到关注。综述还讨论了纳米生物传感器在农业中用于检测农药残留、毒素和农用化学品的应用。金属氧化物纳米颗粒（MONPs）因其独特的结构和电子特性在农业和环境修复中的多功能作用而得到认可。此外，还研究了光催化（PEC）的最新进展，它结合光和外加电压通过活性氧（ROS）降解有毒污染物。最后，介绍了用于快速检测食品和环境样品中黄曲霉毒素B1的超灵敏滚环扩增即时检测（RCA-POCT），利用生物素-链霉亲和素相互作用与核酸扩增相结合。同时也强调了挑战和未来前景，突出了这些技术通过快速现场检测在精准农业中对农民、研究人员和科学家的变革潜力。
