4.7 Article

Prediction of pork quality with near infrared spectroscopy (NIRS) 2. Feasibility and robustness of NIRS measurements under production plant conditions

Journal

MEAT SCIENCE
Volume 91, Issue 3, Pages 300-305

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.meatsci.2012.02.006

Keywords

NIRS; Drip loss %; pHu; Colour; Pork quality; Processing plant

Funding

  1. Bruker Optics GmbH, Ettlingen, Germany
  2. European Community [QPORKCHAINS FOOD-CT-2007-036245]

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Longissimus dorsi samples (685) collected at four processing plants were used to develop prediction equations for meat quality with near infrared spectroscopy. Equations with R-2> 0.70 and residual prediction deviation (RPD)>= 2.0 were considered as applicable for screening. One production plant showed R-2 0.76 and RPD 2.05, other plants showed R-2<0.70 and RPD<2.0 for drip loss %. RPD values were <= 2.05 for drip loss%, for colour L*<= 1.82 and pH ultimate (pHu)<= 1.57. Samples were grouped for drip loss%; superior (<2.0%), moderate (2-4%), inferior (>4.0%). 64% from the superior group and 56% from the inferior group were predicted correctly. One equation could be used for screening drip loss %. Best prediction equation for L* did not meet the requirements (R-2 0.70 and RPD 1.82). pHu equation could not be used. Results suggest that prediction equations can be used for screening drip loss %. (C) 2012 Elsevier Ltd. All rights reserved.

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