Abstract
Near infrared (NIR) calibrations were developed for the instantaneous and simultaneous prediction of the animal species composition of processed animals proteins (PAPs). A total of 359 PAPs samples were used to built calibration and validation sets. Different derivatives and scatter correction pre-treatments were tested. Modified partial least squares regressions were developed for the prediction of the percentage of poultry by-products meal, pork meal, cattle meal, ruminant meal and non-ruminant meal in a mixture. All the equations presented R2 and ratio performance deviation (RPD) values around 0.9 and 3, respectively. In the external validation procedure, the results obtained correspond well with the calibration statistics. This study shows the potential of NIR technology to quantify the animal species in PAPs and it clearly demonstrates the importance of the size and structure of the calibration set in the robustness of the equations.
© 2009 IM Publications LLP
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