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Characterization and predictive modeling potential of aging time of roasted coffee using infrared spectroscopy.
Lázaro, Maisa Cristina; Ferreira, Ednaldo José; Gomes Neto, José Anchieta; Ferreira, Edilene Cristina.
Afiliación
  • Lázaro MC; São Paulo State University - UNESP, Chemistry Institute of Araraquara, Dep. of Analytical, Physical-Chemical and Inorganic Chemistry, P.O. Box 355, 14801-970, Araraquara, SP, Brazil. edilene.c.ferreira@unesp.br.
  • Ferreira EJ; Embrapa Instrumentation, P.O. Box 741, 13560-970 São Carlos, SP, Brazil.
  • Gomes Neto JA; São Paulo State University - UNESP, Chemistry Institute of Araraquara, Dep. of Analytical, Physical-Chemical and Inorganic Chemistry, P.O. Box 355, 14801-970, Araraquara, SP, Brazil. edilene.c.ferreira@unesp.br.
  • Ferreira EC; São Paulo State University - UNESP, Chemistry Institute of Araraquara, Dep. of Analytical, Physical-Chemical and Inorganic Chemistry, P.O. Box 355, 14801-970, Araraquara, SP, Brazil. edilene.c.ferreira@unesp.br.
Anal Methods ; 14(36): 3486-3492, 2022 09 22.
Article en En | MEDLINE | ID: mdl-36073986
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Semillas / Café Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Anal Methods Año: 2022 Tipo del documento: Article País de afiliación: Brasil
Texto completo
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XML
PubMed Links
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Semillas / Café Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Anal Methods Año: 2022 Tipo del documento: Article País de afiliación: Brasil