longitud de onda
café verde
concordancia
cafeÃna
lÃpidos totales
trigonelina
azúcares
ácidos grasos
ácidos clorogénicos
Café
Colombia
Cenicafé
Absorbance
wavelength
green coffee
concordance
caffeine
total lipids
trigonelline
sugars
fatty acids
chlorogenic acids
Absorvância
comprimento de onda
café verde
concordância
cafeÃna
lipÃdios totais
trigonelina
açúcares
ácidos graxos
ácidos clorogênicos
café
Colômbia
Cenicafé
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Near-infrared spectroscopy (NIRS) has been consolidated as a reliable, objective, reproducible, verifiable, inexpensive and low-environmental impact secondary analytical technique. This research aimed to carry out the validation of the equation developed from the NIRS technique for green coffee, which currently predicts 13 chemical compounds (caffeine, trigonelline, total chlorogenic acids, total lipids, fatty acids (palmitic, stearic, oleic, linoleic, linolenic and arachidic), isomers (3-CQA, 4-CQA and 5-CQA) and sucrose). The validation was carried out with 70 samples of Arabica green coffee (Coffea arabica L.), Castillo®, Cenicafé1 and Tabi varieties, produced in the departments of Cauca, Cesar and Caldas, which were analyzed to determine chemical compounds by international methods of analysis of the AOAC and standardized in Cenicafé; the samples were simultaneously analyzed in the NIRS equipment. The concordance between international analytical methods and NIRS was established from descriptive statistical analyses, Blan Altman concordance analysis and Pearson’s correlation between bias and magnitude. The relative error obtained by the NIRS technique for the compounds caffeine, sucrose, total chlorogenic acids, isomers of chlorogenic acids 4-CQA and 5-CQA, total lipids, arachidic, stearic and palmitic fatty acids was lower than 6.0%. The trigonelline compounds and linoleic acid showed an error of 7.0% and oleic acid 10.0%. The results confirm that with the calibration of the curve the NIRS technique can become a secondary analytical method.