Multivariable analytical method based on NIR spectroscopy and chemometric tools to differentiate between '100% agave' and 'mixed' white tequila
Keywords:
Quality Control, Authentication, Food Fraud, Chemometrics, Near Infrared SpectroscopyAbstract
Tequila, one of Mexico's most representative spirits, is threatened by adulteration and counterfeiting practices that affect both consumers and the industry. The distinction between the categories of '100% agave' and 'mixed' white Tequila is crucial to guarantee its quality, cultural and commercial value. In this study, a multivariate analytical method based on near infrared spectroscopy (NIR) and chemometric tools is proposed to address this problem, using advanced mathematical models, including principal component analysis (PCA), partial least squares regression (PLSR), k-nearest neighbors (kNN), partial least squares regression discriminant analysis (PLS-DA), soft independent modeling of class analogy (SIMCA) and support vector machine learning (SVM). Results show that the SVM and PLS-DA models achieved perfect classifications (sensitivity, specificity and precision = 1), evidencing their effectiveness in the authentication of Tequila categories. Additionally, the SVMR regression model demonstrated outstanding performance in predicting alcohol content, with a coefficient of determination (R²) of 1.0. This approach offers an efficient, fast and non-destructive alternative to traditional quality control methods such as chromatography. Its implementation in the tequila industry and routine laboratories can significantly improve fraud detection and guarantee product authenticity. This study highlights the potential of NIR spectroscopy and chemometrics as key tools to strengthen quality control in the spirits industry.
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Arendse, E., Nieuwoudt, H., Magwaza, L. S., Nturambirwe, J. F. I., Fawole, O. A. and Opara, U. L. (2021). Recent advancements on vibrational spectroscopic techniques for the detection of authenticity and adulteration in horticultural products with specific focus on oils, juices and powders. Food and Bioprocess Technology 14, 1-22. https://doi.org/10.1007/s11947-020-02505-x
ASTM E2617-17. (2017). Standard practice for validation of empirically derived multivariate calibrations. ASTM International.
Bukovsky-Reyes, S. E. R., Lowe, L. E., Brandon, W. M. and Owens, J. E. (2018). Measurement of antioxidants in distilled spirits by a silver nanoparticle assay. Journal of the Institute of Brewing 124, 291-299. https://doi.org/10.1002/jib.496
Consejo Regulador del Tequila, CRT. (2016). Disponible en: https://crt.org.mx/. Acceso: Diciembre 12, 2024.
Contreras, U., Barbosa-García, O., Pichardo-Molina, J. L., Ramos-Ortíz, G., Maldonado, J. L., Meneses-Nava, M. A., Ornelas-Soto, N. E., López-de-Alba, P. L. (2010). Screening method for identification of adulterate and fake tequilas by using UV–VIS spectroscopy and chemometrics. Food Research International 43, 2356-2362. https://doi.org/10.1016/j.foodres.2010.09.001
Cuadros-Rodríguez, L., Pérez Castaño, E. and Ruiz Samblás, C. (2016). Quality performance metrics in multivariate classification methods for qualitative analysis. Trends in Analytical Chemistry 80, 612-624. https://doi.org/10.1016/j.trac.2016.04.02
Fernández-Lozano, C., Gestal-Pose, M., Pérez-Caballero, G., Revilla-Vázquez, A. L., and Andrade-Garda, J. M. (2019). Multivariate classification techniques to authenticate Mexican commercial spirits. In: Quality control in the beverage industry, (A. M. Grumezescu & A. M. Holban. https://doi.org/10.1016/B978-0-12-816681-9.00008-4, eds.), Pp. 259–288. Woodhead Publishing, Elsevier.
Hibbert, D. B. (2016). Introduction to multivariate data analysis and chemometrics. Analytical and Bioanalytical Chemistry 408(9), 2053-2054.
Jiménez-Carvelo, A. M., Martin-Torres, S., Cuadros-Rodríguez, L., González-Casado, A. (2021). Nontargeted fingerprinting approaches. In Food authentication and traceability, (C.M. Galankis, ed.), Pp. 163-193. Academic Press. https://doi.org/10.1016/B978-0-12-821104-5.00010-6
Keong Tan, W., Husin, Z., Luqman Yasruddin, M., Hakim Ismail, M. A. (2023). Recent technology for food and beverage quality assessment: a review. Journal of Food Science and Technology 60, 1681-1694. https://doi.org/10.1007/s13197-022-05439-8
Kolomiets, O. A., Lachenmeier, D. W., Hoffmann, U. and Siesler, H. W. (2010) Quantitative determination of quality parameters and authentication of vodka using near infrared spectroscopy. Journal of Near Infrared Spectroscopy 18, 59-67. https://doi.org/10.1255/jnirs.866
Livermore, D., Wang, Q. and Jackson, R. S. (2003). Understanding near infrared spectroscopy and its applications in the distillery. In The alcohol textbook, a reference for the beverage, fuel and industrial alcohol industries, (K.A. Jacques, T.P. Lyons and D.R. Kelsall, eds.), Pp. 145-170. Nottingham University Press. Disponible en: https://edisciplinas.usp.br/pluginfile.php/2993570/mod_resource/content/1/The_Alcohol_Textbook-%204%20Ed.pdf Acceso: Diciembre 12, 2024.
Norma Mexicana NMX-V-004-NORMEX-2018. Bebidas alcohólicas-Determinación de furfural- Métodos de ensayo (prueba). Organismo Nacional de Normalización Sociedad Mexicana de Normalización y Certificación, S.C. Comité Técnico de Normalización Nacional para Bebidas Alcohólicas.
Norma Mexicana NMX-V-005-NORMEX-2018. Bebidas alcohólicas-Determinación de aldehídos, ésteres, metanol, y alcoholes superiores-Métodos en ensayo (prueba). Organismo Nacional de Normalización Sociedad Mexicana de Normalización y Certificación, S.C. Comité Técnico de Normalización Nacional para Bebidas Alcohólicas.
Norma Oficial Mexicana NOM-006-SCFI-2012, Bebidas alcohólicas-Tequila-Especificaciones. Comité Consultivo Nacional de Normalización de Seguridad al Usuario, Información Comercial y Prácticas de Comercio (CCNNSUICPC).
Pérez-Beltrán, C. H., Pérez-Caballero, G., Andrade, J. M., Cuadros-Rodríguez, L., Jiménez-Carvelo, A. M. (2022). Non-targeted spatially offset Raman spectroscopy-based vanguard analytical method to authenticate spirits: White Tequilas as a case study. Microchemical Journal 183, 108126. https://doi.org/10.1016/j.microc.2022.108126
Pérez-Beltrán, C. H., Zúñiga-Arroyo, V. M., Andrade, J. M., Cuadros-Rodríguez, L., Pérez-Caballero, G., Jiménez-Carvelo, A. M. (2021). A sensor-based methodology to differentiate pure and mixed White Tequilas based on fused infrared spectra and multivariate data treatment. Chemosensors 9, 1-13. https://doi.org/10.3390/chemosensors9030047
Peña-Alvares, A., Capella, S., Juárez, R. and Labastida, C. (2006). Determination of terpens in tequila by solid pase microextraction-gas chromatography-mass spectrometry. Journal of Chromatography 1134, 291-297. https://doi.org/10.1016/j.chroma.2006.09.005
Pontes, M., Santos, S., Araujo, M., Almeida, L., Lima, R., Gaiao, E. and Souto, U. (2006). Classification of distilled alcoholic beverages and verification of adulteration by near infrared spectrometry. Food Research International 39, 182-189. https://doi.org/10.1016/j.foodres.2005.07.005
Soto-Romero, L., Gutiérrez-Osnaya, L. J. and Trejo-Fragoso, L. (2016) Revisión de los compuestos responsables del olor y sabor del Tequila. Investigación y Desarrollo en Ciencia y Tecnología de Alimentos 1, 910-915. http://www.fcb.uanl.mx/IDCyTA/files/volume1/1/10/157.pdf
Tirado-Kulieva, V. A., Hernandez-Martinez, E. and Suomela, J. P. (2022). Non-destructive assessment of vitamin C in food: a review of the main findings and limitations of vibrational spectroscopic techniques. European Food Research and Technology 248, 2185 – 2195. https://doi.org/10.1007/s00217-022-04023-w
Valcárcel, M. and Cárdenas, S. (2005). Vanguard-rearguard analytical strategies. Trends in Analytical Chemistry 24, 67–74. https://doi.org/10.1016/j.trac.2004.07.016
Vallejo-Córdoba, B., González-Córdova, A. F. and Estrada-Montoya, M. C. (2004). Tequila volatile characterization and ethyl ester determination by solid phase microextraction gas chromatography/mass spectrometry analysis. Journal of Agricultural and Food Chemistry 52, 5567-5571. https://doi.org/10.1021/jf0499119
Warren-Vega, W. M., Fonseca-Aguiñaga, R., González-Gutiérrez, L. V. and Romero-Cano, L. A. (2023). A critical review on the assessment of the quality and authenticity of tequila by different analytical techniques: Recent advances and perspectives. Food Chemistry 408, 135223. https://doi.org/10.1016/j.foodchem.2022.135223
Wise, B. M., Gallagher, N. B., Bro, R., Shaver, J. M., Winding, W. and Koch, R. S. (2006). Chemometrics Tutorial for PLS_Toolbox and Solo. Eigenvector Research, Inc. Wenatchee, WA, USA.
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Data Availability Statement
The data were obtained from the author's doctoral thesis
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