Detection of clenbuterol in beef meat, liver and kidney by mid-infrared spectroscopy (FT-Mid IR) and multivariate analysis

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Resumen

Mid-infrared spectroscopy (FT-Mid IR) coupled with multivariate analysis was used to predict clenbuterol in beef meat, liver and kidney. A SIMCA model was also developed to discriminate between pure (beef meat, liver and kidney) and spiked with clenbuterol samples (beef meat-clenbuterol, liver-clenbuterol and kidney-clenbuterol). The best models to predict clenbuterol concentrations were obtained using the partial least squares algorithm (PLS) with a R 2 > 0.9 and SEC and standard error of prediction <0.296 and 0.324, respectively. The SIMCA model used to discriminate pure and spiked with clenbuterol samples showed 100% correct classification rate. Methods detection limit was 2 μg kg -1. FT-Mid IR coupled with chemometrics could be a simple and rapid screening tool for monitoring clenbuterol in beef meat, liver and kidney implicated in food poisoning. This method could be use for screening purposes.

Idioma originalInglés
Páginas (desde-hasta)2342-2351
Número de páginas10
PublicaciónInternational Journal of Food Science and Technology
Volumen47
N.º11
DOI
EstadoPublicada - nov. 2012

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