Classification of beer by thermogravimetric and chemometric techniques
Thermogravimetric (TG) technique combined with partial least squares discriminant analysis (PLS-DA) was applied to distinguish five pilsner beers from different brands (Antarctica, Bohemia, Brahma, Budweiser and Imperio). Herein, we develop a TG methodology that use a small volume (40 µL), and an an...
Published in: | Journal of Thermal Analysis and Calorimetry |
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Online Access: | http://hdl.handle.net/11449/206119 https://doi.org/10.1007/s10973-021-10729-y |
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ftunivespir:oai:repositorio.unesp.br:11449/206119 2023-07-02T03:30:40+02:00 Classification of beer by thermogravimetric and chemometric techniques Fernandes, Richard Perosa Ekawa, Bruno Ferreira, Laura Teófilo Carvalho, Ana Carina Sobral Freire, Rafael Teixeira Caires, Flávio Junior Universidade Estadual Paulista (UNESP) 2021-01-01 http://hdl.handle.net/11449/206119 https://doi.org/10.1007/s10973-021-10729-y eng eng Journal of Thermal Analysis and Calorimetry http://dx.doi.org/10.1007/s10973-021-10729-y Journal of Thermal Analysis and Calorimetry. 1588-2926 1388-6150 http://hdl.handle.net/11449/206119 doi:10.1007/s10973-021-10729-y 2-s2.0-85103356385 Beer Chemometrics Thermal analysis info:eu-repo/semantics/article 2021 ftunivespir https://doi.org/10.1007/s10973-021-10729-y 2023-06-12T17:25:48Z Thermogravimetric (TG) technique combined with partial least squares discriminant analysis (PLS-DA) was applied to distinguish five pilsner beers from different brands (Antarctica, Bohemia, Brahma, Budweiser and Imperio). Herein, we develop a TG methodology that use a small volume (40 µL), and an analysis time of 25 min. The major gases evolved during the thermal decomposition were water, ethanol and carbon dioxide. Energy-dispersive X-ray spectrometer of the ashes detected the major constituents: oxygen, sodium, magnesium, silicon, phosphorus, sulfur, chlorine, potassium and calcium. TG and PLS-DA technique together were able to classify the five brands with a classification rate for the model of 97% with a confidence interval of 92–99%, achieving high sensitivity and specificity between the calibration, cross-validation and predicted results. Article in Journal/Newspaper Antarc* Antarctica Universidade Estadual Paulista São Paulo: Repositório Institucional UNESP Journal of Thermal Analysis and Calorimetry |
institution |
Open Polar |
collection |
Universidade Estadual Paulista São Paulo: Repositório Institucional UNESP |
op_collection_id |
ftunivespir |
language |
English |
topic |
Beer Chemometrics Thermal analysis |
spellingShingle |
Beer Chemometrics Thermal analysis Fernandes, Richard Perosa Ekawa, Bruno Ferreira, Laura Teófilo Carvalho, Ana Carina Sobral Freire, Rafael Teixeira Caires, Flávio Junior Classification of beer by thermogravimetric and chemometric techniques |
topic_facet |
Beer Chemometrics Thermal analysis |
description |
Thermogravimetric (TG) technique combined with partial least squares discriminant analysis (PLS-DA) was applied to distinguish five pilsner beers from different brands (Antarctica, Bohemia, Brahma, Budweiser and Imperio). Herein, we develop a TG methodology that use a small volume (40 µL), and an analysis time of 25 min. The major gases evolved during the thermal decomposition were water, ethanol and carbon dioxide. Energy-dispersive X-ray spectrometer of the ashes detected the major constituents: oxygen, sodium, magnesium, silicon, phosphorus, sulfur, chlorine, potassium and calcium. TG and PLS-DA technique together were able to classify the five brands with a classification rate for the model of 97% with a confidence interval of 92–99%, achieving high sensitivity and specificity between the calibration, cross-validation and predicted results. |
author2 |
Universidade Estadual Paulista (UNESP) |
format |
Article in Journal/Newspaper |
author |
Fernandes, Richard Perosa Ekawa, Bruno Ferreira, Laura Teófilo Carvalho, Ana Carina Sobral Freire, Rafael Teixeira Caires, Flávio Junior |
author_facet |
Fernandes, Richard Perosa Ekawa, Bruno Ferreira, Laura Teófilo Carvalho, Ana Carina Sobral Freire, Rafael Teixeira Caires, Flávio Junior |
author_sort |
Fernandes, Richard Perosa |
title |
Classification of beer by thermogravimetric and chemometric techniques |
title_short |
Classification of beer by thermogravimetric and chemometric techniques |
title_full |
Classification of beer by thermogravimetric and chemometric techniques |
title_fullStr |
Classification of beer by thermogravimetric and chemometric techniques |
title_full_unstemmed |
Classification of beer by thermogravimetric and chemometric techniques |
title_sort |
classification of beer by thermogravimetric and chemometric techniques |
publishDate |
2021 |
url |
http://hdl.handle.net/11449/206119 https://doi.org/10.1007/s10973-021-10729-y |
genre |
Antarc* Antarctica |
genre_facet |
Antarc* Antarctica |
op_relation |
Journal of Thermal Analysis and Calorimetry http://dx.doi.org/10.1007/s10973-021-10729-y Journal of Thermal Analysis and Calorimetry. 1588-2926 1388-6150 http://hdl.handle.net/11449/206119 doi:10.1007/s10973-021-10729-y 2-s2.0-85103356385 |
op_doi |
https://doi.org/10.1007/s10973-021-10729-y |
container_title |
Journal of Thermal Analysis and Calorimetry |
_version_ |
1770274899005276160 |