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Applications of Raman Microscopy/Spectroscopy-Based Techniques to Plant Disease Diagnosis
by
Ioannis Vagelas
Ioannis Vagelas 1
,
Ioannis Manthos
Ioannis Manthos 2 and
Thomas Sotiropoulos
Thomas Sotiropoulos 3,*
1
Laboratory of Plant Pathology, Department of Agriculture Crop Production and Rural Environment, School of Agricultural Sciences, University of Thessaly, 38446 Volos, Greece
2
Department of Nut Trees, Institute of Plant Breeding & Genetic Resources, Hellenic Agricultural Organization (ELGO)-DIMITRA, Neo Krikello, 35100 Lamia, Greece
3
Department of Deciduous Fruit Trees, Institute of Plant Breeding & Genetic Resources, Hellenic Agricultural Organization (ELGO)-DIMITRA, 59200 Naoussa, Greece
*
Author to whom correspondence should be addressed.
Appl. Sci. 2024, 14(13), 5926; https://doi.org/10.3390/app14135926 (registering DOI)
Submission received: 6 June 2024
/
Revised: 27 June 2024
/
Accepted: 3 July 2024
/
Published: 7 July 2024
Abstract
Plant diseases pose a significant threat to plant and crop health, leading to reduced yields and economic losses. The traditional methods for diagnosing plant diseases are often invasive and time-consuming and may not always provide accurate results. In recent years, there has been growing interest in utilizing Raman microscopy as a non-invasive and label-free technique for plant disease diagnosis. Raman microscopy is a powerful analytical tool that can provide detailed molecular information about samples by analyzing the scattered light from a laser beam. This technique has the potential to revolutionize plant disease diagnosis by offering rapid and accurate detection of various plant pathogens, including bacteria and fungi. One of the key advantages of Raman microscopy/spectroscopy is its ability to provide real-time and in situ analyses of plant samples. By analyzing the unique spectral fingerprints of different pathogens, researchers can quickly identify the presence of specific diseases without the need for complex sample preparation or invasive procedures. This article discusses the development of a Raman microspectroscopy system for disease diagnosis that can accurately detect and identify various plant pathogens, such as bacteria and fungi.
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MDPI and ACS Style
Vagelas, I.; Manthos, I.; Sotiropoulos, T.
Applications of Raman Microscopy/Spectroscopy-Based Techniques to Plant Disease Diagnosis. Appl. Sci. 2024, 14, 5926.
https://doi.org/10.3390/app14135926
AMA Style
Vagelas I, Manthos I, Sotiropoulos T.
Applications of Raman Microscopy/Spectroscopy-Based Techniques to Plant Disease Diagnosis. Applied Sciences. 2024; 14(13):5926.
https://doi.org/10.3390/app14135926
Chicago/Turabian Style
Vagelas, Ioannis, Ioannis Manthos, and Thomas Sotiropoulos.
2024. "Applications of Raman Microscopy/Spectroscopy-Based Techniques to Plant Disease Diagnosis" Applied Sciences 14, no. 13: 5926.
https://doi.org/10.3390/app14135926
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