Detection and Identification of Plant Pathogens on Maize Kernels with a Hand-Held Raman Spectrometer.

abstract

• Rapid detection and identification of crop pathogens is essential for improving crop yield. Typical pathogen assaying methods, such as polymerase chain reaction (PCR) or enzyme-linked immunosorbent assay (ELISA), are time-consuming and destructive to the sample. Raman spectroscopy (RS) is a noninvasive nondestructive analytical technique that provides insight on the chemical structure of the specimen. In this study, we demonstrate that using a hand-held Raman spectrometer, in combination with chemometric analyses, we can distinguish between healthy and diseased maize ( Zea mays) kernels, as well as between different diseases with 100% accuracy. Our analysis is portable and sample-agnostic, suggesting that it could be retooled for other crops and conducted autonomously.

authors

• Kurouski, Dzmitry

published proceedings

• Anal Chem

altmetric score

• 0.5

author list (cited authors)

• Farber, C., & Kurouski, D.

citation count

• 75

complete list of authors

• Farber, Charles||Kurouski, Dmitry

publication date

• March 2018

publisher

• American Chemical Society (ACS)  Publisher

published in

• Analytical Chemistry  Journal

keywords

• Mitosporic Fungi
• Seeds
• Spectrum Analysis, Raman
• Zea Mays

PubMed Central ID

• 29461798

Digital Object Identifier (DOI)

• 10.1021/acs.analchem.8b00222

start page

• 3009

end page

• 3012

volume

• 90

issue

• 5

URL

• http://dx.doi.org/10.1021/acs.analchem.8b00222