Near infrared spectroscopy: an analytical tool to predict coffee roasting degree

Analytica Chimica Acta
Laura AlessandriniMarco Dalla Rosa

Abstract

The main purpose of this study was to investigate the relationship between some coffee roasting variables (weight loss, density and moisture) with near infrared (NIR) spectra of original green (i.e. raw) and differently roasted coffee samples, in order to test the availability of non-destructive NIR technique to predict coffee roasting degree. Separate calibration and validation models, based on partial least square (PLS) regression, correlating NIR spectral data of 168 representatives and suitable green and roasted coffee samples with each roasting variable, were developed. Using PLS regression, a prediction of the three modelled roasting responses was performed. High accuracy results were obtained, whose root mean square errors of the residuals in prediction (RMSEP) ranged from 0.02 to 1.23%. Obtained data allowed to construct robust and reliable models for the prediction of roasting variables of unknown roasted coffee samples, considering that measured vs. predicted values showed high correlation coefficients (r from 0.92 to 0.98). Results provided by calibration models proposed were comparable in terms of accuracy to the conventional analyses, revealing a promising feasibility of NIR methodology for on-line or routine appli...Continue Reading

References

Jul 17, 2007·Analytica Chimica Acta·S ArmentaM de la Guardia

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Citations

Aug 31, 2010·Analytica Chimica Acta·Holger GrohganzJukka Rantanen
Jan 22, 2020·Journal of the Science of Food and Agriculture·Cintia da Silva AraújoSérgio Henriques Saraiva
Dec 5, 2020·Journal of the Science of Food and Agriculture·Leandro Levate MacedoSérgio Henriques Saraiva
Sep 1, 2018·Comprehensive Reviews in Food Science and Food Safety·Ahsan HameedHafiz Ansar Rasul Suleria
Apr 4, 2021·Molecules : a Journal of Synthetic Chemistry and Natural Product Chemistry·Oladipupo Q AdiamoDaniel Cozzolino
Oct 24, 2012·Journal of Agricultural and Food Chemistry·Erica LibertoBarbara Sgorbini

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