Assessment of Melon Fruit Nutritional Composition Using VIS/NIR/SWIR Spectroscopy Coupled with Chemometrics

• DOI: 10.20944/preprints202504.2079.v1
• Publication Date: 2025-04-28T01:23:40Z
• Authors: Dimitrios S. Kasa...; Pavlos Tsouvaltzis; Anastasios S. Siomos
• Keywords: Chemometrics; Melon

The objective of this study was to evaluate the feasibility using visible, near-infrared and short-wave infrared (VIS/NIR/SWIR) spectroscopy coupled with chemometrics for non-destructive prediction nutritional components in Galia-type melon fruit. A total 175 fully ripened melons were analyzed soluble solids content (SSC), dry matter (DM), pH, titratable acidity (TA) partial least squares regression (PLSR), principal (PCR), multilinear (MLR) models. Reflectance spectra captured at three fruit locations (pedicel, equatorial, blossom end) 350–2500 nm range. PLSR models yielded highest accuracy, particularly SSC (R= 0.80) SSC/TA 0.79) equatorial zone data. Genetic algorithm variable importance projection (VIP) analyses identified critical wavelengths around 680–720 900–1000 nm. demonstrates potential VIS/NIR/SWIR rapid, quality assessment, implications commercial postharvest management.