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Registro Completo
Biblioteca(s): |
Embrapa Pecuária Sudeste. |
Data corrente: |
18/08/2005 |
Data da última atualização: |
08/05/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
FERNANDES, A. P.; SANTOS, M. C.; LEMOS, S. G.; FERREIRA, M. M. C.; NOGUEIRA, A. R. de A.; NÓBREGA, J. A. |
Afiliação: |
ANDREA P. FERNANDES, Grupo GAIA, UFSCar.; MIRIAN C. SANTOS, Grupo GAIA, UFSCar.; SHERLAN G. LEMOS, Grupo GAIA, UFSCar.; MARCIA M.C. FERREIRA, Instituto de QuImica, Universidade Estadual de Campinas, Campinas.; ANA RITA DE ARAUJO NOGUEIRA, CPPSE; JOAQUIM A. NOBREGA, Grupo GAIA, UFSCar. |
Título: |
Pattern recognition applied applied to mineral characterization of Brazilian coffees and sugar-cane spirits. |
Ano de publicação: |
2005 |
Fonte/Imprenta: |
Spectrochimica Acta Part B, v. 60, p. 717-724, 2005. |
DOI: |
https://doi.org/10.1016/j.sab.2005.02.013 |
Idioma: |
Inglês |
Conteúdo: |
Aluminium, Ca, Cu, Fe, K, Mg, Mn, Na, Pb, S, Se, Si, Sn, Sr, and Zn were determined in coffee and sugar-cane spirit (cachaça) samples by axial viewing inductively coupled plasma optical emission spectrometry (ICP OES). Pattern recognition techniques such as principal component analysis and cluster analysis were applied to data sets in order to characterize samples with relation to their geographical origin and production mode (industrial or homemade and organically or conventionally produced). Attempts to correlate metal ion content with the geographical origin of coffee and the production mode (organic or conventional) of cachaça were not successful. Some differentiation was suggested for the geographical origin of cachaça of three regions (Northeast, Central, and South), and for coffee samples, related to the production mode. Clear separations were only obtained for differentiation between industrial and homemade cachaças, and between instant soluble and roasted coffees. |
Palavras-Chave: |
Coffee; Pattern recognition; Sugar cane spirit. |
Thesaurus NAL: |
chemometrics. |
Categoria do assunto: |
W Química e Física |
Marc: |
LEADER 01750naa a2200241 a 4500 001 1047045 005 2023-05-08 008 2005 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1016/j.sab.2005.02.013$2DOI 100 1 $aFERNANDES, A. P. 245 $aPattern recognition applied applied to mineral characterization of Brazilian coffees and sugar-cane spirits.$h[electronic resource] 260 $c2005 520 $aAluminium, Ca, Cu, Fe, K, Mg, Mn, Na, Pb, S, Se, Si, Sn, Sr, and Zn were determined in coffee and sugar-cane spirit (cachaça) samples by axial viewing inductively coupled plasma optical emission spectrometry (ICP OES). Pattern recognition techniques such as principal component analysis and cluster analysis were applied to data sets in order to characterize samples with relation to their geographical origin and production mode (industrial or homemade and organically or conventionally produced). Attempts to correlate metal ion content with the geographical origin of coffee and the production mode (organic or conventional) of cachaça were not successful. Some differentiation was suggested for the geographical origin of cachaça of three regions (Northeast, Central, and South), and for coffee samples, related to the production mode. Clear separations were only obtained for differentiation between industrial and homemade cachaças, and between instant soluble and roasted coffees. 650 $achemometrics 653 $aCoffee 653 $aPattern recognition 653 $aSugar cane spirit 700 1 $aSANTOS, M. C. 700 1 $aLEMOS, S. G. 700 1 $aFERREIRA, M. M. C. 700 1 $aNOGUEIRA, A. R. de A. 700 1 $aNÓBREGA, J. A. 773 $tSpectrochimica Acta Part B$gv. 60, p. 717-724, 2005.
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