Non-destructive authentication of Cachaças from Brejo Paraibano based on MIR spectroscopy
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View abstract on PubMed
Summary
This summary is machine-generated.This study uses mid-infrared spectroscopy (MIR) and chemometrics to authenticate the geographic origin of Brazilian cachaça. The Data-Driven Soft Independent Modeling by Class Analogy (DD-SIMCA) model accurately verified cachaça
Area Of Science
- Food Science and Technology
- Analytical Chemistry
- Spectroscopy
Background
- Cachaça, a Brazilian sugarcane juice spirit, requires geographic authentication to ensure quality and prevent fraud.
- The Brejo Paraibano region is a notable producer of high-quality cachaça.
- Authentic geographic origin is crucial for product integrity and consumer trust.
Purpose Of The Study
- To develop and validate a robust method for authenticating the geographic origin of cachaça from Brejo Paraibano.
- To differentiate Brejo Paraibano cachaça from that of other Brazilian regions.
- To establish a reliable tool for verifying cachaça's geographical authenticity.
Main Methods
- Utilized mid-infrared spectroscopy (MIR) for spectral data acquisition.
- Applied chemometric models, specifically One-Class Partial Least Squares (OC-PLS) and Data-Driven Soft Independent Modeling by Class Analogy (DD-SIMCA).
- Employed spectral preprocessing techniques including baseline shift correction and Savitzky-Golay smoothing (21 points).
Main Results
- The DD-SIMCA model demonstrated high performance with 95.6% sensitivity in training and 100% in testing.
- Achieved 100% specificity and an overall classification efficiency of 98.4%.
- The model effectively authenticated the geographic origin of cachaça samples.
Conclusions
- Mid-infrared spectroscopy combined with DD-SIMCA is a highly effective and reliable method for geographic authentication of cachaça.
- The developed approach is robust, environmentally friendly ('green'), and suitable for verifying the authenticity of cachaça.
- This technique supports quality control and fraud prevention in the cachaça industry.
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