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June 26, 2026Postharvest Biology and TechnologyOpen Access

Near Infrared Spectroscopy in mango sorting lines for quality assessment and cultivar discrimination

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Authors

JTJavier Téllez-GarcíaMSMaría‐Teresa SánchezJGJosé-Jorge González-Fernández

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Overview

Randomized trial examines near infrared spectroscopy to evaluate mango quality and classify cultivars, indicating effective real-time sorting solutions.

Key Points

  • The aim is to determine the effectiveness of near infrared spectroscopy for assessing mango quality and differentiating between cultivars.
  • 227 mango samples were analyzed using near infrared spectroscopy on a conveyor belt at speeds of 2.3 and 7 cm/s.
  • Modified partial least squares regression models were developed for predicting quality metrics including pulp firmness and soluble solids content.
  • Partial least squares–discriminant analysis was used for cultivar classification.
  • NIRS technology predicted soluble solids content with an RPD of 2.6 and pulp firmness with an RPD of 1.7 at 7 cm/s.
  • At 2.3 cm/s, the RPD for soluble solids content improved to 3.2 and for pulp firmness to 2.1.
  • Over 98% of the mangoes were accurately classified by cultivar in the validation set.

Cite This Study

Téllez-García et al. (2026) studied this question.

synapsesocial.com/papers/6a3e169f030ad1a9b30906c2https://doi.org/10.1016/j.postharvbio.2026.114542
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