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Raman Spectroscopy Instrumentation: Overview

Raman Spectroscopy Instrumentation: Overview

A conventional Raman spectrophotometer includes a laser source, a sample holding system, a wavelength selector, and a detector.
The monochromatic laser source, typically using visible or near-infrared radiation, generates a highly focused beam of light. This light interacts with the molecules of the sample, scattering some of the light. Liquid and gaseous samples are usually tested in ordinary glass capillaries, while solids can be analyzed as powders packed in capillaries or as potassium...

Applications of IR Spectroscopy: Overview

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The non-destructive nature and ability to provide valuable chemical information make IR spectroscopy a versatile technique with broad applications in various scientific and industrial fields. IR spectroscopy is commonly used to identify and characterize organic and inorganic compounds. It provides information about the functional groups present in a molecule and the bonding between atoms. This helps in the structural elucidation of compounds during organic synthesis, pharmaceutical research,...

Raman Spectroscopy: Overview

Raman Spectroscopy: Overview

The underlying principle of Raman spectroscopy is based on the interaction between light and matter, specifically molecules' inelastic scattering of photons. When a monochromatic beam of light, typically from a laser source, interacts with a sample, most scattered light has the same frequency as the incident light. This is known as Rayleigh scattering.
However, a small fraction of the scattered light exhibits a frequency shift due to the exchange of energy between the incident photons and...

MALDI-TOF Mass Spectrometry

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Mass spectrometry is a powerful characterization technique that can identify and separate a wide variety of compounds ranging from chemical to biological entities, based on their mass-to-charge ratio (m/z). The instruments that allow this detection, known as mass spectrometers, have three components: an ion source, a mass analyzer, and a detector. These spectrometers differ based on the nature of their ion source and analyzers.
Matrix-assisted laser desorption ionization (MALDI) is a commonly...

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A Filter-based Surface Enhanced Raman Spectroscopic Assay for Rapid Detection of Chemical Contaminants

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Advanced Application of Raman Spectroscopy and Surface-Enhanced Raman Spectroscopy in Plant Disease Diagnostics: A

Shizhuang Weng¹, Xujin Hu¹, Jinghong Wang¹

¹National Engineering Research Center for Agro-Ecological Big Data Analysis & Application, Anhui University, 111 Jiulong Road, Hefei 230601, People's Republic of China.

Journal of Agricultural and Food Chemistry

|March 8, 2021

Summary

Raman spectroscopy (RS) and surface-enhanced Raman spectroscopy (SERS) offer rapid, high-throughput methods for detecting plant diseases. This review highlights their application in diagnosing various diseases and pests, providing guidance for agricultural applications.

Keywords:

RS SERS bacterial diseases fungal diseases plant diseases rapid detection stress-induced diseases viral diseases

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Area of Science:

Agricultural science
Spectroscopy
Plant pathology

Background:

Plant diseases cause significant global agricultural losses annually.
Timely detection is crucial for disease management and yield preservation.
There is a growing demand for high-throughput, rapid diagnostic methods in agriculture.

Purpose of the Study:

To review the advanced applications of Raman spectroscopy (RS) and surface-enhanced Raman spectroscopy (SERS) for plant disease detection.
To analyze biomarkers used in RS and SERS for plant disease diagnosis.
To discuss the advantages, challenges, and potential alternatives for RS and SERS in this field.

Main Methods:

Literature review of studies applying RS and SERS to plant disease detection.
Analysis of specific applications for bacterial, fungal, viral diseases, pests, and mycotoxins.
Examination of identified biomarkers for diagnostic purposes.

Main Results:

RS and SERS have demonstrated effectiveness in identifying various plant diseases and stress conditions.
Biomarker analysis reveals specific spectral signatures associated with different pathogens and conditions.
The review details applications in beans, including pest and mycotoxin detection.

Conclusions:

RS and SERS show great promise as advanced tools for rapid and accurate plant disease diagnostics.
Understanding biomarkers and addressing current challenges can further enhance their utility.
This review provides valuable insights and guidance for implementing RS and SERS in agricultural settings.