Caracterización y discriminación de mieles de Abejas sin aguijón colombianas por Espectroscopia Vibracional.

Abstract

In this project, a predictive model was developed to discriminate honey samples from Colombian stingless bees of the species, Melipona compressipes, Melipona fuscipes, Trigona angustula, Frieseomelitta nigra, Nannotrigona sp., Plebeia sp., which were compared with Apis mellifera (Africanized) using Fourier transform infrared spectroscopy and chemometrics. The model was developed with the analysis of honey samples from two municipalities in the department of Norte de Santander: Bochalema and Los Patios. With the development of this work, an alternative methodology was proposed for the analysis of honey that allowed to reduce analysis times, reduce costs, reduce the use of solvents, reducing toxic waste and environmental pollution. Furthermore, ATR-FTIR is a technique with good resolution and fast scan time, that can evaluate multiple components in a single measurement. Finally, this work allowed to obtain technical information on these honeys and in the future could contribute to the adjustment of the current legislation in our country, in which specific parameters are not established for the honey of these species.