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Multivariate analysis of coconut residues by near infrared spectroscopy.
Rambo, M K D; Alves, A R; Garcia, W T; Ferreira, M M C.
Afiliación
  • Rambo MKD; Institute of Chemistry, University of Campinas - UNICAMP, CEP 13083-970 Campinas, Brazil; Department of Chemistry, University of Tocantins - UFT, CEP 77838-824 Araguaína, Brazil.
  • Alves AR; Sugarcane Research Center - CTC, CEP 13418-900 Piracicaba, Brazil.
  • Garcia WT; Sugarcane Research Center - CTC, CEP 13418-900 Piracicaba, Brazil.
  • Ferreira MMC; Institute of Chemistry, University of Campinas - UNICAMP, CEP 13083-970 Campinas, Brazil. Electronic address: marcia@iqm.unicamp.br.
Talanta ; 138: 263-272, 2015 Jun 01.
Article en En | MEDLINE | ID: mdl-25863400
ABSTRACT
Near infrared (NIR) spectroscopy was used to determine the content of Klason lignin, acid-soluble lignin, total lignin, extractives, ash, acid-insoluble residue, glucose, xylose, rhamnose, galactose, arabinose, mannose and total sugars in coconut residues. The samples were analyzed at several processing stages wet unground (WU), dried unground (DU) and dried and sieved (DS). Partial least squares models were built, and the models for the analytes exhibited R(2)>0.80, with the exceptions of rhamnose, arabinose, galactose, mannose and ash from all fractions, and the lignin content from the WU fraction, which were predicted poorly (R(2)<0.70). There were some significant differences between the models for the main lignocellulosic components at the various stages of biomass. These results proved that NIR spectroscopy is useful for analysis at biorefineries, and it can be used as a faster and more economical alternative to the standard methods.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Extractos Vegetales / Cocos / Espectroscopía Infrarroja Corta / Análisis de los Alimentos / Lignina Tipo de estudio: Prognostic_studies Idioma: En Año: 2015 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Extractos Vegetales / Cocos / Espectroscopía Infrarroja Corta / Análisis de los Alimentos / Lignina Tipo de estudio: Prognostic_studies Idioma: En Año: 2015 Tipo del documento: Article