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Updated: Jan 8, 2026

Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements
Published on: June 28, 2016
Modelado de la predicción del contenido de sólidos solubles, la acidez titulable y el pH de la uva de mesa durante el
1College of Mechanical and Electronic Engineering, Northwest A & F University, Yangling, China.
La espectroscopía visible-infrarroja cercana (Vis-NIR) ofrece un método rápido y no destructivo para evaluar la calidad de la uva de mesa. Este estudio desarrolló con éxito modelos para predecir el contenido de sólidos solubles, la acidez titulable y el pH, mejorando la gestión poscosecha.
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