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July 31, 2026FoodsOpen Access

NIR Spectroscopy for Predicting Physicochemical and Functional Quality Attributes of Berry (Aronia, Haskap, and Goji) Fruits

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Authors

JSJuan Carlos SolomandoPCPatricia CalvoMRMaría José Rodríguez

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Overview

Randomized trial evaluates portable NIR spectroscopy for predicting quality attributes in red berries, suggesting practical applications.

Key Points

  • To assess the effectiveness of a portable near-infrared spectroscopy device for predicting quality attributes of berry fruits.
  • Analyzed 145 samples from aronia, haskap, and goji berries across different ripening stages.
  • Used a MicroNIR™ 1700 OnSite-W spectrophotometer to collect spectral data over 908–1676 nm.
  • Developed partial least squares regression models for various physicochemical attributes.
  • Achieved R2CV values between 0.83 and 0.92 in cross-validation for different attributes.
  • External validation yielded R2EV values from 0.76 to 0.88, confirming model robustness.
  • Total soluble solids had the highest predictive performance with R2EV = 0.88; total phenolic content had the lowest with R2EV = 0.76.

Cite This Study

Solomando et al. (2026) studied this question.

synapsesocial.com/papers/6a6c4702747664a1aa73c0cbhttps://doi.org/10.3390/foods15152679
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