Sensory analysis of handmade beers from Paragominas-PA

Authors

DOI:

https://doi.org/10.33448/rsd-v11i2.25893

Keywords:

Beer; Craft Beer; Stout; Pilsen; Sensory Analysis; APA; IPA.

Abstract

Craft beer is that produced by less industrialized methods, prioritizing quality over quantity. Its popularization in the Brazilian market grows exponentially based on the number of breweries registered in Brazil each year. The objective of this work was to perform sensory analyses of 4 styles of artisanal beers of local manufacture through acceptance tests by hedonic scale and purchase intention test. The beers studied were produced by the country brewery, being Pilsen, APA, IPA, and Stout. Sixty untrained volunteer tasters participated in the tests, all of them of age, half of them male and the other half female, all beer drinkers, who had good health conditions. To evaluate the similarity or difference on each parameter evaluated between beers, the Kruskal-Wallis test was performed on the means, considering a significance level of 5%. For the comparison of means, the Nemenyi test was performed, which connected the statistically similar means. Although most participants claim to know the difference between traditional beers and craft beers, and consume craft beer, most of them still show indifferent preference among these options. The most accepted beer for the studied public was Pilsen, the least accepted was Stout. This result is reflected in the purchase intent test. With Pilsen having the highest average, while Stout had the lowest.

Author Biographies

Gabriel Carvalho Gottarde, UPL Brasil

Graduated in Agronomy from the Federal Rural University of the Amazon (2019). He currently works as
Commercial Technical Promoter for Cotabra at the service of UPL.  

Juliana Monteiro Maia, Universidade Federal Rural da Amazônia

Undergraduate student in Agronomic Engineering at the Federal Rural University of the Amazon (UFRA), Campus
Paragominas (2017- ). Member of the Study and Research Group in Applied Statistics (GEPEA/ UFRA).
Experimental Statistics and Biometrics Monitor (2020- ). Scientific Initiation Scholarship / PIBIC.

Marcos Samuel Matias Ribeiro, Universidade Federal Rural da Amazônia

Graduated in Statistics from the Federal University of Rio Grande do Norte - UFRN (2013), master's degree (2016) and doctorate (2021) in the Graduate Program in Climate Sciences/UFRN. He is currently an assistant professor at the Universidade Federal Rural da Amazônia, in the areas of Applied Statistics, Experimental Statistics and Biostatistics. He has experience in the area of Applied Statistics and Natural Disasters, with an emphasis on Biostatistics, Experimentation, Population and Climate.

Graziela Teixeira de Oliveira, Universidade Federal Rural da Amazônia

Pharmacy Technician by Cecon-2004
Degree in Chemistry from the University of Itaúna (ITU)-2008
Master in Health Sciences from the Federal University of São João Del Rey-2013
Current Assistant Professor at the Federal Rural University of the Amazon since 2014, Paragominas campus.
Experience in phytochemistry, chemistry and microbiology.

Michele Velasco Oliveira da Silva, Universidade Federal Rural da Amazônia

Veterinary doctor graduated from the Universidade Federal Rural da Amazônia (2010), Master's in Aquaculture and Tropical Water Resources from the Federal Rural University of the Amazon (2012) and PhD in Biology of Infectious and Parasitic Agents from the Federal University of Pará (2016). She is currently an adjunct professor at the Universidade Federal Rural da Amazônia, Campus Belém. She has experience in the area of Cell Biology, Histology and microparasitology of aquatic organisms.

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Published

01/02/2022

How to Cite

GOTTARDE, G. C. .; MAIA, J. M. .; RIBEIRO, M. S. M. .; OLIVEIRA, G. T. de .; SILVA, M. V. O. da .; DIAS, L. de N. S. . Sensory analysis of handmade beers from Paragominas-PA. Research, Society and Development, [S. l.], v. 11, n. 2, p. e46611225893, 2022. DOI: 10.33448/rsd-v11i2.25893. Disponível em: https://rsdjournal.org/index.php/rsd/article/view/25893. Acesso em: 23 dec. 2024.

Issue

Vol. 11 No. 2

Section

Agrarian and Biological Sciences

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Copyright (c) 2022 Gabriel Carvalho Gottarde; Juliana Monteiro Maia; Marcos Samuel Matias Ribeiro; Graziela Teixeira de Oliveira; Michele Velasco Oliveira da Silva; Lilian de Nazaré Santos Dias

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