Identification of earliest point for detection of plant virus infection through Raman spectroscopy and principal component analysis

Abstract

Plant disease outbreaks pose serious threats to global food security. A rigid methodology that accounts for rapid identification of the earliest point of infection caused by plant viruses is necessary. Raman spectroscopy that generates spectral signatures of cellular-level dynamics resonates the virus induced alteration in plants through moderations in spectral features. Here, we present a model study to identify the earliest point of infection. Measured spectra from healthy and virus infected Arabidopsis thaliana plants are applied to principal component analysis. We found a separation as early as 8 days post inoculation between healthy and virus infected plants.

Plant phenotyping relevance

ラマン分光と主成分分析を用いて、植物のウイルス感染状態を早期推定する方法が研究の中心であり、感染植物の状態を直接評価している。

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