Authentication of 'Robusta Amazônico' geographical indication for green coffee: UV-vis and NIR spectroscopy-based
Venancio Ferreira de Moraes-Neto1, Michel Rocha Baqueta1, Elem Tamirys Dos Santos Caramês2
1University of Campinas - UNICAMP, School of Food Engineering, Department of Food Science and Nutrition, Campinas, São Paulo, Brazil.
Abstract:
Robusta Amazônico coffee is a highly valued specialty coffee with a registered geographical indication, making it a potential target for fraud. In this context, near-infrared (NIR) and ultraviolet-visible (UV-Vis) spectroscopy are highlighted as environmentally friendly analytical techniques with strong potential for verifying authenticity. In this study, 114 samples of Robusta Amazônico green coffee and 108 samples of other coffees (in intact, ground, and extracted forms) were analyzed using both benchtop and handheld NIR instruments, as well as a UV-Vis spectrophotometer. The Data-Driven Soft Independent Modeling of Class Analogy (DD-SIMCA) algorithm was employed for classification, and performance was evaluated based on sensitivity, specificity, and accuracy. Classification accuracy ranged from 95.6 % to 100 %. Notably, the handheld NIR achieved 100 % accuracy and proved to be the most cost-effective tool, highlighting its suitability for verifying the authenticity of Robusta Amazônico green coffee.
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