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Authentication of beef versus horse meat using 60 MHz (1)H NMR spectroscopy

This work reports a candidate screening protocol to distinguish beef from horse meat based upon comparison of triglyceride signatures obtained by 60 MHz (1)H NMR spectroscopy. Using a simple chloroform-based extraction, we obtained classic low-field triglyceride spectra from typically a 10 min acqui...

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Detalles Bibliográficos
Autores principales: Jakes, W., Gerdova, A., Defernez, M., Watson, A.D., McCallum, C., Limer, E., Colquhoun, I.J., Williamson, D.C., Kemsley, E.K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Applied Science Publishers 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4308633/
https://www.ncbi.nlm.nih.gov/pubmed/25577043
http://dx.doi.org/10.1016/j.foodchem.2014.11.110
Descripción
Sumario:This work reports a candidate screening protocol to distinguish beef from horse meat based upon comparison of triglyceride signatures obtained by 60 MHz (1)H NMR spectroscopy. Using a simple chloroform-based extraction, we obtained classic low-field triglyceride spectra from typically a 10 min acquisition time. Peak integration was sufficient to differentiate samples of fresh beef (76 extractions) and horse (62 extractions) using Naïve Bayes classification. Principal component analysis gave a two-dimensional “authentic” beef region (p = 0.001) against which further spectra could be compared. This model was challenged using a subset of 23 freeze–thawed training samples. The outcomes indicated that storing samples by freezing does not adversely affect the analysis. Of a further collection of extractions from previously unseen samples, 90/91 beef spectra were classified as authentic, and 16/16 horse spectra as non-authentic. We conclude that 60 MHz (1)H NMR represents a feasible high-throughput approach for screening raw meat.