TY - JOUR
T1 - Quantification of adulterants in mezcal by means of FT-MIR and FT-NIR spectroscopy coupled to multivariate analysis
AU - Quintero Arenas, Mónica Alexandra
AU - Meza-Márquez, Ofelia Gabriela
AU - Velázquez-Hernández, José Luis
AU - Gallardo-Velázquez, Tzayhri
AU - Osorio-Revilla, Guillermo
N1 - Publisher Copyright:
© 2020, © 2020 The Author(s). Published with license by Taylor & Francis Group, LLC.
PY - 2020/1/1
Y1 - 2020/1/1
N2 - Mezcal is an alcoholic beverage with a high commercial value and is often adulterated to obtain economical profit, however, adulteration is an illegal practice that can damage consumer’s health. FT-MIR and FT-NIR spectroscopy along with multivariate analysis were used to quantify adulterants (water, ethanol, methanol) in three mezcal classes (white, rested, aged). Calibration models were constructed using principal component regression (PCR), partial least squares with single y-variable (PLS1) and partial least squares with multiple y-variables (PLS2) algorithms. The PLS2 showed the best predictive results for FT-MIR (R2 = 0.9579–0.9895); and PLS1 for FT-NIR (R2 = 0.9401–0.9665). The predictions of models were compared to gas chromatography with flame ionization detector (GC-FID) and no significant difference was found (p ≤ 0.05). Results show that the authenticity of mezcal can be verified through FT-MIR and FT-NIR spectroscopy coupled to multivariate analysis because it is reliable and fast (as compared to GC-FID).
AB - Mezcal is an alcoholic beverage with a high commercial value and is often adulterated to obtain economical profit, however, adulteration is an illegal practice that can damage consumer’s health. FT-MIR and FT-NIR spectroscopy along with multivariate analysis were used to quantify adulterants (water, ethanol, methanol) in three mezcal classes (white, rested, aged). Calibration models were constructed using principal component regression (PCR), partial least squares with single y-variable (PLS1) and partial least squares with multiple y-variables (PLS2) algorithms. The PLS2 showed the best predictive results for FT-MIR (R2 = 0.9579–0.9895); and PLS1 for FT-NIR (R2 = 0.9401–0.9665). The predictions of models were compared to gas chromatography with flame ionization detector (GC-FID) and no significant difference was found (p ≤ 0.05). Results show that the authenticity of mezcal can be verified through FT-MIR and FT-NIR spectroscopy coupled to multivariate analysis because it is reliable and fast (as compared to GC-FID).
KW - Adulteration
KW - FT-MIR
KW - FT-NIR
KW - GC-FID
KW - authenticity
KW - mezcal
KW - multivariate analysis
UR - http://www.scopus.com/inward/record.url?scp=85082565453&partnerID=8YFLogxK
U2 - 10.1080/19476337.2020.1740327
DO - 10.1080/19476337.2020.1740327
M3 - Artículo
SN - 1947-6337
VL - 18
SP - 229
EP - 239
JO - CYTA - Journal of Food
JF - CYTA - Journal of Food
IS - 1
ER -