Development of an Internet of Things (IoT) System for Monitoring Carbon Dioxide Degassing Behavior of Roasted Coffee Beans
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Abstract
This research CO2 developed an IoT system to monitor CO2 release from roasted Arabica coffee beans. The aim was to see how the CO2 affects coffee quality. This research used an SCD41 sensor and an ESP32 board to measure CO2 inside a sealed container for 25 days. Then brew CO2 coffee on days 1, 5, 9, 13, 17, 21, and 25 using the SCA protocol. After brewing, tested the coffee for total soluble solids (TSS), acidity (TA), electrical conductivity (EC), pH, and taste. The results showed that beans release most of their CO2 in the first 2-3 days. This heavy gas release blocks water from entering the coffee grounds, making the brew weak. By days 17–25, the gas levels had dropped and became stable. Because of these changes, the coffee was extracted much better and showed higher chemical values. The taste testers also gave their highest scores during this period, especially on day 21. Therefore, our IoT setup successfully tracked the degassing process. It was found that letting the beans rest for 17 to 25 days gives the best cup quality.
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References
Asiah, N., Aqil, M., Dwiranti, S., David, W., 2019. Asia Pacific Journal of Sustainable Agriculture Food and Energy (APJSAFE) Sensory and Chemical Changes of Cold and Hot Brew Arabica Coffee at Various Resting Time.
Cardelli, C., Labuza, T.P., 2001. Application of Weibull Hazard Analysis to the Determination of the Shelf Life of Roasted and Ground Coffee. LWT 34, 273–278. https://doi.org/10.1006/fstl.2000.0732
Da, C., Araújo, S., Vimercati, W.C., Macedo, L.L., Ferreira, A., Luiz, &, Prezotti, C., José, L., Teixeira, Q., Sérgio, &, Saraiva, H., 2020. Predicting the Electric Conductivity and Potassium Leaching of Coffee by NIR Spectroscopy Technique. https://doi.org/10.1007/s12161-020-01843-y/Published
llly, A., Viani, R., 2005. Espresso Coffee: The Science of Quality , 2nd ed. ed. Elsevier Academic Press, USA.
Rao, N.Z., Fuller, M., 2018. Acidity and Antioxidant Activity of Cold Brew Coffee. Sci. Rep. 8. https://doi.org/10.1038/s41598-018-34392-w
Smrke, S., Wellinger, M., Suzuki, T., Balsiger, F., Opitz, S.E.W., Yeretzian, C., 2018. Time-Resolved Gravimetric Method to Assess Degassing of Roasted Coffee. J. Agric. Food Chem. 66, 5293–5300. https://doi.org/10.1021/acs.jafc.7b03310
Tolessa, K., Rademaker, M., De Baets, B., Boeckx, P., 2016. Prediction of specialty coffee cup quality based on near infrared spectra of green coffee beans. Talanta 150, 367–374. https://doi.org/10.1016/j.talanta.2015.12.039
Vega, A., Reyes, S.M., Troestch, J., 2025. Physicochemical Parameters and Multivariate Analysis to Predict the Sensory Quality in Specialty Coffee from Panama. ACS Omega 10, 13251–13259. https://doi.org/10.1021/acsomega.4c10914
Wang, X., Lim, L.T., 2014. Effect of roasting conditions on carbon dioxide degassing behavior in coffee. Food Research International 61, 144–151. https://doi.org/10.1016/j.foodres.2014.01.027
Williams, S.D., de Andrade, D., Liu, L., 2023. Coffee is more than flavor, the creation of a coffee character wheel. J. Sens. Stud. 38. https://doi.org/10.1111/joss.12886
