Fourier Transform Near Infrared (FT-NIR) spectral monitoring of parchment coffee beans during drying

Published: 7 October 2024| Version 1 | DOI: 10.17632/7c6gx7rr6d.1
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Description

The data set comprises primary, unprocessed Fourier transform near-infrared (FT-NIR) spectra and moisture values on a wet basis from parchment coffee samples at varying moisture content levels. A comprehensive monitoring of both FT-NIR spectra and moisture levels throughout the drying process of parchment coffee from the Huila department in Colombia was conducted. The data enable the construction of predictive models for estimating coffee moisture at any stage of the drying process, beginning with an initial moisture content of 50% and reducing to approximately 10%. The data may be useful for the construction of automated drying equipment that tracks bean moisture using sensors that measure near-infrared spectra. The results were organized in Excel spreadsheets, differentiated according to the experimental conditions and the repetitions carried out.

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Institutions

Universidad Surcolombiana, Universitat Politecnica de Valencia

Categories

Food Science, Near Infrared Spectroscopy, Food Drying, Food Analysis Techniques, Food Moisture Analysis

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