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 | Acesso ao texto completo restrito à biblioteca da Embrapa Mandioca e Fruticultura. Para informações adicionais entre em contato com cnpmf.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Mandioca e Fruticultura. |
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Data corrente: |
28/06/2013 |
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Data da última atualização: |
19/05/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
RAMBO, M. K. D.; AMORIM, E. P.; FERREIRA, M. M. C. |
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Afiliação: |
M.K.D. RAMBO, UNICAMP; EDSON PERITO AMORIM, CNPMF; M. M. C. FERREIRA, UNICAMP. |
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Título: |
Potential of visible-near infrared spectroscopy combined with chemometrics for analysis of some constituents of coffee and banana residues. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
Analytica chimica acta, n.30, 2013. |
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ISSN: |
0003-2670 |
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Idioma: |
Inglês |
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Conteúdo: |
Banana (stalk, leaf, rhizome, rachis and stem) and coffee (leaf and husks) residues are promising feedstock for fuel and chemical production. In this work we show the potential of near-infrared spectroscopy (NIR) and multivariate analysis to replace reference methods in the characterization of some constituents of coffee and banana residues. The evaluated parameters were Klason lignin (KL), acid soluble lignin (ASL), total lignin (TL), extractives, moisture, ash and acid insoluble residue (AIR) contents of 104 banana residues (B) and102 coffee (C) residues from Brazil. PLS models were built for banana (B), coffee (C) and pooled samples (B + C). The precision of NIR methodology was better (p < 0.05) than the reference method for almost all the parameters, being worse for moisture. With the exception of ash (B and C) and ASL (C) content, which was predicted poorly (R2 < 0.80), the models for all the analytes exhibited R2 > 0.80. The range error ratios varied from 4.5 to 16.0. Based on the results of external validation, the statistical tests and figures of merit, NIR spectroscopy proved to be useful for chemical prediction of banana and coffee residues and can be used as a faster and more economical alternative to the standard methodologies. |
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Thesagro: |
Banana; Café. |
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Thesaurus Nal: |
Chemometrics; Near-infrared spectroscopy. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 01896naa a2200205 a 4500
001 1960926
005 2023-05-19
008 2013 bl uuuu u00u1 u #d
022 $a0003-2670
100 1 $aRAMBO, M. K. D.
245 $aPotential of visible-near infrared spectroscopy combined with chemometrics for analysis of some constituents of coffee and banana residues.$h[electronic resource]
260 $c2013
520 $aBanana (stalk, leaf, rhizome, rachis and stem) and coffee (leaf and husks) residues are promising feedstock for fuel and chemical production. In this work we show the potential of near-infrared spectroscopy (NIR) and multivariate analysis to replace reference methods in the characterization of some constituents of coffee and banana residues. The evaluated parameters were Klason lignin (KL), acid soluble lignin (ASL), total lignin (TL), extractives, moisture, ash and acid insoluble residue (AIR) contents of 104 banana residues (B) and102 coffee (C) residues from Brazil. PLS models were built for banana (B), coffee (C) and pooled samples (B + C). The precision of NIR methodology was better (p < 0.05) than the reference method for almost all the parameters, being worse for moisture. With the exception of ash (B and C) and ASL (C) content, which was predicted poorly (R2 < 0.80), the models for all the analytes exhibited R2 > 0.80. The range error ratios varied from 4.5 to 16.0. Based on the results of external validation, the statistical tests and figures of merit, NIR spectroscopy proved to be useful for chemical prediction of banana and coffee residues and can be used as a faster and more economical alternative to the standard methodologies.
650 $aChemometrics
650 $aNear-infrared spectroscopy
650 $aBanana
650 $aCafé
700 1 $aAMORIM, E. P.
700 1 $aFERREIRA, M. M. C.
773 $tAnalytica chimica acta$gn.30, 2013.
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