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Updated: May 24, 2025

HPLC Coupled with Chemical Fingerprinting for Multi-Pattern Recognition for Identifying the Authenticity of Clematidis Armandii Caulis
Published on: November 11, 2022
Non-destructive authentication of Cachaças from Brejo Paraibano based on MIR spectroscopy
Sheila Catarina de Oliveira1, Tatiane Luiza Cadorin Oldoni2, Germano Veras1
1Department of Chemistry, Postgraduate Program in Chemical (PPGQ), State University of Paraíba, Science and Technology Center, Zip Code 58429-500 Campina Grande, Paraíba, Brazil.
Abstract:
Cachaça, an alcoholic beverage derived from the fermentation of sugarcane juice, is a quintessential Brazilian product, with the Brejo Paraibano region standing out as one of the leading producers of high-quality cachaças. Therefore, geographic authentication of these beverages is essential to guarantee their quality and prevent fraud. This study employed mid-infrared spectroscopy (MIR) combined with chemometric models, including One-Class Partial Least Squares (OC-PLS) and Data-Driven Soft Independent Modeling by Class Analogy (DD-SIMCA), to authenticate the geographic origin of cachaças from Brejo Paraibano, as opposed to cachaças originating from other Brazilian regions. The DD-SIMCA model, incorporating spectral preprocessing with baseline shift correction and Savitzky-Golay smoothing using 21 points, achieved 95.6 % sensitivity during training, 100 % in testing, and 100 % specificity, with an overall classification efficiency of 98.4 %. These findings underscore the effectiveness of the proposed approach as a robust, green, and reliable tool to verify the authenticity and geographic origin of cachaças.
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