Keywords
adulteration
aguardiente
NIR near-infrared spectroscopy
chemometry
multivariate analysis adulteración
aguardiente
espectroscopia de infrarrojo cercano NIR
quimiometría
análisis multivariado
aguardiente
NIR near-infrared spectroscopy
chemometry
multivariate analysis adulteración
aguardiente
espectroscopia de infrarrojo cercano NIR
quimiometría
análisis multivariado
How to Cite
Tapiero Cuellar, J. L., & Valle Mora, A. (2022). Development of analytical methodologies for the quality control of liquors using nearby infrared spectroscopy and multivariate analysis. Revista Colombiana De Investigaciones Agroindustriales, 9(1), 79–88. https://doi.org/10.23850/24220582.4883
Abstract
The application of NIR near-infrared spectroscopy and multivariate analysis as a rapid analysis technique in the quantification of the content of methanol in commercially distributed liqueurs (Aguardiente), to identify if these liqueurs exceed the methanol limits established in the standard. AOAC 972.11 (100 mg / dm3) (AOAC 972.11, 1973). For this, in a first stage, the application of a design of ternary mixtures methanol-ethanol-water (MDOE) was carried out in order to reduce correlation effects between the variables, in addition to achieving multivariate models that include variability important by expanding the calibration range that act under process conditions and in commercialization sites. The second stage was associated with the recording of the NIR spectra of the prepared samples, to obtain a data matrix, from which the multivariate models are developed using different algorithms. The results obtained showed that it is possible to develop a rapid analysis method for the quantification of methanol in Aguardiente samples, using NIR spectroscopy and the multivariate models constructed, in which a Mean Square Prediction Error (RMSEP) of 0.7766 was obtained. % and correlation coefficient (R2) of 0.9553.
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