A two-dimensional correlation spectroscopy analysis-based approach for asymptomatic rot detection in stored potatoes...

Area of Science:

• Agricultural Science
• Plant Pathology
• Spectroscopy

Background:

• Fusarium dry rot (FDR) significantly impacts potato storage quality and yield.
• Accurate monitoring of FDR progression is crucial for effective disease management.

Purpose of the Study:

• To utilize hyperspectral imaging (HSI) for identifying the gleyic stage and monitoring FDR progression in stored potatoes.
• To evaluate susceptibility parameters and quality attributes during potato infection.

Main Methods:

• A hyperspectral imaging (HSI) system was employed to capture spectral data from infected potato samples.
• Two-dimensional correlation spectroscopy (2D-COS) was used to analyze spectral data and map component changes.
• Quantitative analysis models were developed based on 2D correlation synchronization spectra.

Main Results:

• The study identified 20 spectral peaks correlated with starch, soluble protein, malondialdehyde, and aerobic bacterial content.
• Quantitative analysis models demonstrated high accuracy, with optimal validation set correlation coefficients ranging from 0.9273 to 0.9634.
• Visual analysis of hyperspectral images effectively showed the distribution of these indicator components.

Conclusions:

• HSI is a viable tool for non-destructively monitoring Fusarium dry rot progression and associated biochemical changes in stored potatoes.
• The developed quantitative models enable accurate assessment of key quality indicators during disease development.
• This approach supports improved disease management strategies and quality control in potato storage.