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| 7. |  | NASCIMENTO, P. A. M.; BARSANELLI, P. L.; REBELLATO, A. P.; PALLONE, J. A.; COLNAGO, L. A.; PEREIRA, F. M. V. Time-domain nuclear magnetic resonance (TD-NMR) and chemometrics for determination of fat content in commercial products of milk powder. In: JOURNAL OF AOAC INTERNATIONAL, v. 100, n. 2, p. 330-334, 2017.| Biblioteca(s): Embrapa Instrumentação. |
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| 8. | | FREIRA, L.; GUERREIRO, T. M.; CARAMÊS, E. T. S.; LOPES, L. L.; ORLANDO, E. A.; PEREIRA, G. E.; PALLONE, J. A. L.; CATHARINO, R. R.; SANT'ANA, A. S. Influence of Maturation Stages in Different Varieties of Wine Grapes (Vitis vinifera) on the Production of Ochratoxin A and Its Modified Forms by Aspergillus carbonarius and Aspergillus niger. Journal of Agricultural and Food Chemistry, v. 66, p. 8824-8831, 2018.| Biblioteca(s): Embrapa Semiárido; Embrapa Uva e Vinho. |
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| 9. | | ABDELNUR, P. V.; ABE, S.; CUNHA, I. B. S.; LIMA-PALLONE, J. A.; GODOY, H. T.; EBERLIN, M. N.; CATHARINO, R. R. Metabolic fingerprinting of royal jelly: characterization and proof of authenticity. Quality Assurance and Safety of Crops & Foods, v.3, n. 4, p. 185-190, Dec. 2011.| Biblioteca(s): Embrapa Agroenergia. |
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| 10. | | BAQUETA, M. R.; VALDERRAMA, P.; MANDRONE, M.; POLI, F.; COQUEIRO, A.; COSTA-SANTOS, A. C.; REBELLATO. A. A.; LUZ, G. M.; ROCHA, R. B.; PALLONE, J. A. L.; MARINI, F. H NMR, FAAS, portable NIR, benchtop NIR, and ATR-FTIR-MIR spectroscopies for characterizing and discriminating new Brazilian Canephora coffees in a multi-block analysis perspective. Chemometrics and Intelligent Laboratory Systems, v. 240, 2023.| Biblioteca(s): Embrapa Rondônia. |
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Registro Completo
|
Biblioteca(s): |
Embrapa Rondônia. |
|
Data corrente: |
23/02/2023 |
|
Data da última atualização: |
24/02/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
BAQUETA, M. R.; ALVES, E. A.; VALDERRAMA, P.; PALLONE, J. A. L. |
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Afiliação: |
MICHEL ROCHA BAQUETA, UNICAMP; ENRIQUE ANASTACIO ALVES, CPAF-RO; PATRÍCIA VALDERRAMA, UTFPR; JULIANA AZEVEDO LIMA PALLONE, UNICAMP. |
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Título: |
Brazilian Canephora coffee evaluation using NIR spectroscopy and discriminant chemometric techniques. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Journal of Food Composition and Analysis, v. 116, 2023. |
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Idioma: |
Português |
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Conteúdo: |
High-quality Brazilian Canephora coffees are rising to the level of specialty coffees in the face of a new industry perception. In this framework, spectra from 527 coffees were analyzed in the near-infrared (NIR) region. Prin- cipal component analysis distinguished Brazilian Canephora producing states, botanical varieties, low and high- quality Canephora, Canephora and Arabica, and Canephora with geographical indication (GI) from those without GI. Also, Canephora coffee cultivars from Western Brazilian Amazon were distinguished. Three multi-class PLS- DA (traditional, hard, and soft versions) were compared to discriminate 5 classes: Robusta Amaz?onico from traditional (1) and indigenous (2) producers of Rond?onia, Conilon from Espírito Santo (3), Conilon from Bahia (4), and specialty Arabica (5). Binary PLS-DA discriminated GI Canephora and non-GI Canephora with 100% sensitivity and specificity. Carbohydrates, chlorogenic acids, lipids, caffeine, and proteins were dominant ab- sorption bands in coffee classifications. The proposed method is objective, simple, fast, and could be used in the routine analysis of coffee to verify claims of identity, variety, and origin. |
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Palavras-Chave: |
Amazonian robusta; Conilon; Geographical origin; Multivariate classification; NIR spectroscopy; PLS-DA. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1151891/1/2023-01-Brazilian-Canephora-coffee-evaluation-using-NIR-spectroscopy-and-discriminant-chemometric-techniques-J.-Food-Composition-and-Analysis-116.pdf
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Marc: |
LEADER 01877naa a2200229 a 4500
001 2151891
005 2023-02-24
008 2023 bl uuuu u00u1 u #d
100 1 $aBAQUETA, M. R.
245 $aBrazilian Canephora coffee evaluation using NIR spectroscopy and discriminant chemometric techniques.$h[electronic resource]
260 $c2023
520 $aHigh-quality Brazilian Canephora coffees are rising to the level of specialty coffees in the face of a new industry perception. In this framework, spectra from 527 coffees were analyzed in the near-infrared (NIR) region. Prin- cipal component analysis distinguished Brazilian Canephora producing states, botanical varieties, low and high- quality Canephora, Canephora and Arabica, and Canephora with geographical indication (GI) from those without GI. Also, Canephora coffee cultivars from Western Brazilian Amazon were distinguished. Three multi-class PLS- DA (traditional, hard, and soft versions) were compared to discriminate 5 classes: Robusta Amaz?onico from traditional (1) and indigenous (2) producers of Rond?onia, Conilon from Espírito Santo (3), Conilon from Bahia (4), and specialty Arabica (5). Binary PLS-DA discriminated GI Canephora and non-GI Canephora with 100% sensitivity and specificity. Carbohydrates, chlorogenic acids, lipids, caffeine, and proteins were dominant ab- sorption bands in coffee classifications. The proposed method is objective, simple, fast, and could be used in the routine analysis of coffee to verify claims of identity, variety, and origin.
653 $aAmazonian robusta
653 $aConilon
653 $aGeographical origin
653 $aMultivariate classification
653 $aNIR spectroscopy
653 $aPLS-DA
700 1 $aALVES, E. A.
700 1 $aVALDERRAMA, P.
700 1 $aPALLONE, J. A. L.
773 $tJournal of Food Composition and Analysis$gv. 116, 2023.
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