Autor(es)

Verbi Pereira, Fabiola Manhas ^[1] ; Colnago, Luiz Alberto ^[1]

Afiliação do(s) autor(es)

^[1] Embrapa Instrumentacao, BR-13561206 Sao Carlos, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: FOOD ANALYTICAL METHODS; v. 5, n. 6, p. 1349-1353, DEC 2012.
• Citações Web of Science: 14

Resumo

The models presented in this study were developed by combining time-domain nuclear magnetic resonance (TD-NMR) and chemometrics to predict the moisture content in beef samples from ten different cattle breeds. The results were very promising because the root mean square error for calibration (RMSEC) was 0.6 g/100 g, according to the partial least squares (PLS) or principal component regression (PCR) models. The correlation coefficients between the reference method and the predicted values were 0.96 for both models. No significant differences were found for the predicted values of the chemometric models when a paired Student's t-test with confidence levels of 95% or 90% was applied. From these results, the moisture content in meat samples of different cattle breeds can be determined in a through-package mode with high analytical frequency, without pre-treatment of the samples or weighing. (AU)

• Processo FAPESP: 10/19576-1 - Avaliação da ressonância magnética nuclear de baixo campo no desenvolvimento de métodos analíticos para o controle da qualidade de carne e derivados
• Beneficiário: Fabiola Manhas Verbi Pereira
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado