Weng Shizhuang, Hu Xujin, Wang Jinghong, Tang Le, Li Pan, Zheng Shouguo, Zheng Ling, Huang Linsheng, Xin Zhenghua
National Engineering Research Center for Agro-Ecological Big Data Analysis & Application, Anhui University, 111 Jiulong Road, Hefei 230601, People's Republic of China.
Hefei Institute of Physical Science, Chinese Academy of Sciences, 350 Shushanhu Road, Hefei 230031, People's Republic of China.
J Agric Food Chem. 2021 Mar 17;69(10):2950-2964. doi: 10.1021/acs.jafc.0c07205. Epub 2021 Mar 8.
Plant diseases result in 20-40% of agricultural loss every year worldwide. Timely detection of plant diseases can effectively prevent the development and spread of diseases and ensure the agricultural yield. High-throughput and rapid methods are in great demand. This review investigates the advanced application of Raman spectroscopy (RS) and surface-enhanced Raman spectroscopy (SERS) in the detection of plant diseases. The determination of bacterial diseases and stress-induced diseases, fungal diseases, viral diseases, pests in beans, and mycotoxins related to plant diseases using RS and SERS are discussed in detail. Then, biomarkers for RS and SERS detection are analyzed with regard to plant disease diagnosis. Finally, the advantages and challenges are further illustrated. Additionally, potential alternatives are proposed for the challenges. The review is expected to provide a reference and guidance for the use of RS and SERS in plant disease diagnostics.
全球范围内，植物病害每年导致20%-40%的农业损失。及时检测植物病害可有效预防病害的发展和传播，并确保农业产量。因此，对高通量和快速检测方法的需求巨大。本文综述了拉曼光谱（RS）和表面增强拉曼光谱（SERS）在植物病害检测中的先进应用。详细讨论了利用RS和SERS测定细菌性病害、胁迫诱导病害、真菌性病害、病毒性病害、豆类害虫以及与植物病害相关的霉菌毒素。然后，针对植物病害诊断分析了RS和SERS检测的生物标志物。最后，进一步阐述了其优点和挑战。此外，针对这些挑战提出了潜在的替代方案。本综述有望为RS和SERS在植物病害诊断中的应用提供参考和指导。
