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

Abstract

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. © 2012 The Authors. International Journal of Food Science and Technology © 2012 Institute of Food Science and Technology.