Nelson Guzman-Gutierrez
Neiva, HUI, Colombia
Last Updated: 09/26/2026
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Found 14 publications
Data-driven modeling of water adsorption isotherms in cocoa beans: Dataset and Python-based Machine Learning tools for multivariate analysis and storage management.
Journal: Data in brief
Published: January 20, 2026
Dataset and machine learning-based computer-aided tools for modeling working sorption isotherms in dried parchment and green coffee beans.
Journal: Data in brief
Published: April 11, 2025
Dataset and multivariate statistical tools for mathematical modeling of water desorption isotherms and infrared spectral properties of cupuassu (Theobroma grandiflorum L.) pulp.
Journal: Data in brief
Published: February 17, 2025
Bioactive and neoformed compounds in coffee: Dietary intake and population exposure in Neiva, Colombia.
Journal: Food chemistry: X
Published: November 23, 2024
Mid-infrared spectra of dried and roasted cocoa (Theobroma cacao L.): A dataset for machine learning-based classification of cocoa varieties and prediction of theobromine and caffeine content.
Journal: Data in brief
Published: October 08, 2024
Adsorption isotherms in roasted specialty coffee (Coffea arabica L.): Dataset and statistical tools for optimizing storage conditions and enhancing shelf life.
Journal: Data in brief
Published: October 07, 2024
Mathematical modeling of water sorption isotherms in specialty coffee beans processed by wet and semidry postharvest methods.
Journal: Scientific reports
Published: August 01, 2024
Last Updated: 09/26/2026