Related Experiment Video
Updated: Sep 18, 2026
High Throughput Image-Based Phenotyping for Determining Morphological and Physiological Responses to Single and Combined Stresses in Potato
Published on: June 7, 2024
Assessment of cold-induced sweetening in stored potatoes using hyperspectral imaging and elastic-net logistic
Jong-Jin Park1, Hahyeong Yu2, Gi-Un Seong3
1Smart Food Manufacturing Research Group, Korea Food Research Institute, Wanju-gun 55365, South Korea; Department of Food Bioengineering, Jeju National University, Jeju 63243, Republic of Korea.
Abstract:
Cold storage improves the storability of potatoes; however, it can cause cold-induced sweetening (CIS), which promotes the formation of harmful compounds during processing. CIS-affected potatoes are difficult to distinguish based solely on the external color of unpeeled potatoes. In this study, hyperspectral imaging was applied to non-destructively assess CIS levels in potatoes. Potatoes were stored at different temperatures (1, 5, and 10 °C) with or without reconditioning; changes in color and metabolites were analyzed. Low storage temperatures (≤5 °C) increased chilling-related metabolite levels, accompanied by an increased browning index in potato flesh, whereas reconditioning decreased them. Based on reducing sugar profiles, CIS levels were classified into four stages (CS0-CS3). An elastic-net logistic regression model with coefficient thresholding (ENLR-CT) classified CIS levels with 92.6% accuracy using 55.2% of the total wavelengths, demonstrating the potential of hyperspectral imaging for rapid and non-destructive potato quality monitoring.
