Fast determination of beef quality parameters with time-domain nuclear magnetic resonance spectroscopy and chemometrics

Autor(es)

Verbi Pereira, Fabiola Manhas ^[1] ; Pflanzer, Sergio Bertelli ^[2] ; Gomig, Thaisa ^[2] ; Gomes, Carolina Lugnani ^[2] ; de Felicio, Pedro Eduardo ^[2] ; Colnago, Luiz Alberto ^[1]

Afiliação do(s) autor(es)

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

^[2] Univ Estadual Campinas, UNICAMP, Fac Engn Alimentos, Dept Tecnol Alimentos, BR-13083193 Campinas, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: Talanta; v. 108, p. 88-91, APR 15 2013.
• Citações Web of Science: 18

Resumo

The noteworthy of this study is to predict seven quality parameters for beef samples using time-domain nuclear magnetic resonance (TD-NMR) relaxometry data and multivariate models. Samples from 61 Bonsmara heifers were separated into five groups based on genetic (breeding composition) and feed system (grain and grass feed). Seven sample parameters were analyzed by reference methods; among them, three sensorial parameters, flavor, juiciness and tenderness and four physicochemical parameters, cooking loss, fat and moisture content and instrumental tenderness using Warner Bratzler shear force (WBSF). The raw beef samples of the same animals were analyzed by TD-NMR relaxometry using Carr-Purcell-Meiboom-Gill (CPMG) and Continuous Wave-Free Precession (CWFP) sequences. Regression models computed by partial least squares (PLS) chemometric technique using CPMG and CWFP data and the results of the classical analysis were constructed. The results allowed for the prediction of aforementioned seven properties. The predictive ability of the method was evaluated using the root mean square error (RMSE) for the calibration (RMSEC) and validation (RMSEP) data sets. The reference and predicted values showed no significant differences at a 95% confidence level. (c) 2013 Elsevier B.V. All rights reserved. (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