Abstract
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.
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Acknowledgements
We are grateful to the Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) for the fellowship awarded to F.M.V. Pereira (Process 2010/19576-1). We would also like to thank the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) and the Financiadora de Estudos e Projetos (FINEP) for funding and Dr. Rymer Ramiz Tullio for providing the beef samples.
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Pereira, F.M.V., Colnago, L.A. Determination of the Moisture Content in Beef Without Weighing Using Benchtop Time-Domain Nuclear Magnetic Resonance Spectrometer and Chemometrics. Food Anal. Methods 5, 1349–1353 (2012). https://doi.org/10.1007/s12161-012-9383-9
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DOI: https://doi.org/10.1007/s12161-012-9383-9