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

• Author(s): Pereira, Fabiola Manhas Verbi [UNESP] ; Pflanzer, Sérgio Bertelli ; Gomig, Thaísa ; Gomes, Carolina Lugnani ; Felício, Pedro Eduardo de ; Colnago, Luiz Alberto
• Date: 2015
• Persistent ID: http://hdl.handle.net/11449/123519
• Origin: Oasisbr
• Document Type: Journal article
• Language: English

Description

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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.

Universidade Estadual Paulista Júlio de Mesquita Filho, Departamento de Química Analítica, Instituto de Química de Araraquara, Araraquara, Rua Professor Francisco Degni, 55, Jardim Quitandinha, CEP 14800060, SP, Brasil

Universidade Estadual Paulista Júlio de Mesquita Filho, Departamento de Química Analítica, Instituto de Química de Araraquara, Araraquara, Rua Professor Francisco Degni, 55, Jardim Quitandinha, CEP 14800060, SP, Brasil

Embrapa Instrumentação, Rua Quinze de Novembro 1452, São Carlos, SP 13561-206, Brazil

Departamento de Tecnologia de Alimentos, Faculdade de Engenharia de Alimentos, Universidade Estadual de Campinas (UNICAMP), Campinas, SP 13083-193, Brazil