Brewed coffee sensorial classification with fluorescence spectroscopy by chemometric analysis

Bruno Pereira de Oliveira; Fátima M. M. Yasuoka; Jarbas C. C. Neto

doi:10.1117/12.3000232

11 March 2024 Brewed coffee sensorial classification with fluorescence spectroscopy by chemometric analysis

Bruno Pereira de Oliveira, Fátima M. M. Yasuoka, Jarbas C. C. Neto

Proceedings Volume 12893, Photonic Instrumentation Engineering XI; 128930V (2024) https://doi.org/10.1117/12.3000232
Event: SPIE OPTO, 2024, San Francisco, California, United States

Conference Poster

Abstract

The analysis of the quality and selection of green coffee beans is currently performed using sensory methods, following the SCAA cupping protocol, which yields qualitative results. Evaluators assess 11 different sensory attributes of the coffee, using a 300 g sample roasted lightly for 10-15 minutes over a direct flame. The roasted sample is then ground and divided equally into 5 pots, infused with water, and allowed to rest for 5 minutes. Following this resting period, sensory analysis is conducted, with scores assigned to each attribute on a scale of 0 – 10. This procedure is carried out independently and in triplicated. In the day-to-day operations of a coffee roasting plant, it is important to maintain control over each batch of raw coffee and ensure that the roasting process is followed accurately. Currently, this evaluation process requires a complex and comprehensive infrastructure. However, advancements in optical and computational capabilities have opened new possibilities. Consequently, this research aims to explore the application of fluorescence spectroscopy on raw coffee samples and utilize chemometric techniques to separate and classify the beverage profiles.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Bruno Pereira de Oliveira, Fátima M. M. Yasuoka, and Jarbas C. C. Neto "Brewed coffee sensorial classification with fluorescence spectroscopy by chemometric analysis", Proc. SPIE 12893, Photonic Instrumentation Engineering XI, 128930V (11 March 2024); https://doi.org/10.1117/12.3000232

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