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振动光谱在植物胁迫与表型分析中的当代应用。

Contemporary applications of vibrational spectroscopy in plant stresses and phenotyping.

作者信息

Juárez Isaac D, Kurouski Dmitry

机构信息

Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX, United States.

Interdisciplinary Faculty of Toxicology, Texas A&M University, College Station, TX, United States.

出版信息

Front Plant Sci. 2024 Sep 13;15:1411859. doi: 10.3389/fpls.2024.1411859. eCollection 2024.

Abstract

Plant pathogens, including viruses, bacteria, and fungi, cause massive crop losses around the world. Abiotic stresses, such as drought, salinity and nutritional deficiencies are even more detrimental. Timely diagnostics of plant diseases and abiotic stresses can be used to provide site- and doze-specific treatment of plants. In addition to the direct economic impact, this "smart agriculture" can help minimizing the effect of farming on the environment. Mounting evidence demonstrates that vibrational spectroscopy, which includes Raman (RS) and infrared spectroscopies (IR), can be used to detect and identify biotic and abiotic stresses in plants. These findings indicate that RS and IR can be used for in-field surveillance of the plant health. Surface-enhanced RS (SERS) has also been used for direct detection of plant stressors, offering advantages over traditional spectroscopies. Finally, all three of these technologies have applications in phenotyping and studying composition of crops. Such non-invasive, non-destructive, and chemical-free diagnostics is set to revolutionize crop agriculture globally. This review critically discusses the most recent findings of RS-based sensing of biotic and abiotic stresses, as well as the use of RS for nutritional analysis of foods.

摘要

包括病毒、细菌和真菌在内的植物病原体在全球范围内造成了巨大的作物损失。干旱、盐碱化和营养缺乏等非生物胁迫的危害甚至更大。及时诊断植物病害和非生物胁迫可用于对植物进行定点和定量治疗。除了直接的经济影响外,这种“智能农业”还有助于将农业对环境的影响降至最低。越来越多的证据表明,包括拉曼光谱(RS)和红外光谱(IR)在内的振动光谱可用于检测和识别植物中的生物和非生物胁迫。这些发现表明,RS和IR可用于田间植物健康监测。表面增强拉曼光谱(SERS)也已用于直接检测植物胁迫源,比传统光谱具有优势。最后,这三种技术都在作物表型分析和成分研究中得到应用。这种非侵入性、非破坏性且无化学物质的诊断方法必将给全球作物农业带来变革。本文综述批判性地讨论了基于拉曼光谱检测生物和非生物胁迫的最新研究结果,以及拉曼光谱在食品营养分析中的应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/847c/11427297/cb8c98d0dd13/fpls-15-1411859-g001.jpg

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