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Registro Completo
Biblioteca(s): |
Embrapa Agroindústria de Alimentos. |
Data corrente: |
02/03/2022 |
Data da última atualização: |
14/10/2022 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
B - 2 |
Autoria: |
COUTO, C. DE C.; FREITAS-SILVA, O.; OLIVEIRA, E. M. M.; SOUSA, C.; CASAL, S. |
Afiliação: |
CINTHIA DE CARVALHO COUTO; OTNIEL FREITAS SILVA, CTAA; EDNA MARIA MORAIS OLIVEIRA, CTAA; CLARA SOUSA; SUSANA CASAL. |
Título: |
Near-Infrared Spectroscopy Applied to the Detection of Multiple Adulterants in Roasted and Ground Arabica Coffee. |
Ano de publicação: |
2022 |
Fonte/Imprenta: |
Foods, v. 11, n. 61, 2022. |
Idioma: |
Inglês |
Conteúdo: |
Roasted coffee has been the target of increasingly complex adulterations. Sensitive, non-destructive, rapid and multicomponent techniques for their detection are sought after. This work proposes the detection of several common adulterants (corn, barley, soybean, rice, coffee husks and robusta coffee) in roasted ground arabica coffee (from different geographic regions), combining near-infrared (NIR) spectroscopy and chemometrics (Principal Component Analysis—PCA). Adulterated samples were composed of one to six adulterants, ranging from 0.25 to 80% (w/w). The results showed that NIR spectroscopy was able to discriminate pure arabica coffee samples from adulterated ones (for all the concentrations tested), including robusta coffees or coffee husks, and independently of being single or multiple adulterations. The identification of the adulterant in the sample was only feasible for single or double adulterations and in concentrations ≥10%. NIR spectroscopy also showed potential for the geographical discrimination of arabica coffees (South and Central America). |
Palavras-Chave: |
Adulteration. |
Thesaurus NAL: |
Chemometrics; Coffee (beverage); Food technology; Infrared spectroscopy; Product authenticity. |
Categoria do assunto: |
Q Alimentos e Nutrição Humana |
Marc: |
LEADER 01784naa a2200241 a 4500 001 2140472 005 2022-10-14 008 2022 bl uuuu u00u1 u #d 100 1 $aCOUTO, C. DE C. 245 $aNear-Infrared Spectroscopy Applied to the Detection of Multiple Adulterants in Roasted and Ground Arabica Coffee.$h[electronic resource] 260 $c2022 520 $aRoasted coffee has been the target of increasingly complex adulterations. Sensitive, non-destructive, rapid and multicomponent techniques for their detection are sought after. This work proposes the detection of several common adulterants (corn, barley, soybean, rice, coffee husks and robusta coffee) in roasted ground arabica coffee (from different geographic regions), combining near-infrared (NIR) spectroscopy and chemometrics (Principal Component Analysis—PCA). Adulterated samples were composed of one to six adulterants, ranging from 0.25 to 80% (w/w). The results showed that NIR spectroscopy was able to discriminate pure arabica coffee samples from adulterated ones (for all the concentrations tested), including robusta coffees or coffee husks, and independently of being single or multiple adulterations. The identification of the adulterant in the sample was only feasible for single or double adulterations and in concentrations ≥10%. NIR spectroscopy also showed potential for the geographical discrimination of arabica coffees (South and Central America). 650 $aChemometrics 650 $aCoffee (beverage) 650 $aFood technology 650 $aInfrared spectroscopy 650 $aProduct authenticity 653 $aAdulteration 700 1 $aFREITAS-SILVA, O. 700 1 $aOLIVEIRA, E. M. M. 700 1 $aSOUSA, C. 700 1 $aCASAL, S. 773 $tFoods$gv. 11, n. 61, 2022.
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