Vis-NIR Spectroscopy for Peach Maturity and CI Risk

This project evaluates portable Vis-NIR spectroscopy to classify peach harvest maturity and predict chilling injury susceptibility during cold storage. Three cultivars (Scarletprince, Julyprince, and O'Henry) were grouped by maturity (IMM, COM, TR), scanned with XLSOR, and tracked through storage and shelf-life simulation to link spectral signatures with quality outcomes.

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Experimental Design
Scarletprince - Cold Storage
Scarletprince - Ambient
Julyprince - Cold Storage
Julyprince - Ambient
O'Henry - Cold Storage
O'Henry - Ambient
Vis-NIR Spectroscopy Harvest Maturity Peach Chilling Injury PCA Non-destructive

The FELIX 750 instrument was provided by Colorado State University from FELIX Instruments. This project was conducted as a collaboration between the University of Georgia and Colorado State University.

Postharvest Tech
May - Aug 2025
University of Georgia - Colorado State University

Using Vis-NIR Spectroscopy to Assess Peach CI Risk

Portable NIR scanning was used at harvest to classify maturity and forecast chilling injury susceptibility during cold storage.

This study assessed whether Vis-NIR measurements at harvest can predict chilling injury development in peaches. Scarletprince, Julyprince, and O'Henry fruit were classified into immature, commercial, and tree-ripe groups using Delta A, then rescanned with XLSOR and stored at 1.1C and 90-95% RH for up to 28 days plus 3 days shelf-life simulation. Measurements included firmness, respiration, weight loss, color, SSC, TA, CHL, DMC, and CI indices (browning, bleeding, mealiness). NIR second-derivative spectra and PCA separated maturity classes, and tree-ripe fruit generally showed earlier, more severe CI during late storage.

Harvest maturity strongly affects chilling injury, but commercial sorting often lacks objective and non-destructive indicators of downstream risk. CI symptoms can remain latent during refrigeration and appear later during shelf-life, making early risk detection difficult for storage and marketing decisions.

We integrated Delta A maturity classification with portable XLSOR Vis-NIR scanning, then combined physiological quality tracking with multivariate spectral analysis (second derivative + PCA). This workflow enabled non-destructive maturity discrimination at harvest and improved identification of fruit lots with elevated CI risk before long cold storage.

Key Features

  • Portable XLSOR Vis-NIR scanning
  • Delta A maturity stratification (IMM/COM/TR)
  • Three-cultivar commercial dataset
  • 28-day cold storage + 3-day shelf simulation
  • PCA on second-derivative spectra
  • CI indices: browning, bleeding, mealiness