ArticleMolecules (Basel, Switzerland)2026
Comprehensive and Non-Destructive Sweet Corn Shelf-Life Prediction Using Near-Infrared (NIR) Spectroscopy Coupled with Multivariate Curve Resolution-Alternating Least Squares (MCR-ALS) Spectral Resolution.
Article in Molecules (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Accurate shelf-life prediction of perishable products remains challenging because quality deterioration involves multiple physicochemical changes that are not adequately captured by conventional univariate approaches. This study proposes a multivariate shelf-life prediction framework for sweet corn based on near-infrared (NIR) spectroscopy coupled with multivariate curve resolution-alternating least squares (MCR-ALS). NIR spectra were collected from sweet corn samples and analyzed using MCR-ALS to extract chemically interpretable concentration and spectral profiles. A total of 100 and 85 corn samples were used for model training and validation, respectively. The dominant MCR-ALS component showed strong correlations with total soluble solids, dry matter, and individual sugar contents (sucrose, glucose, and fructose), effectively describing the overall quality degradation process. Based on the zero-order kinetic model, the predicted shelf lives were 41.3, 11.0, and 8.9 days at 4, 13, and 25 °C, respectively. Arrhenius analysis of the MCR-ALS concentration profile yielded a temperature-dependent degradation rate with an activation energy of 54.05 kJ mol
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