Prediction of pork quality using visible/near-infrared reflectance spectroscopy

Title
Prediction of pork quality using visible/near-infrared reflectance spectroscopy
Publication Date
2006
Author(s)
Savenije, B
Geesink, Geert
van der Palen, J G P
Hemke, G
Type of document
Journal Article
Language
en
Entity Type
Publication
Publisher
Elsevier BV
Place of publication
Netherlands
DOI
10.1016/j.meatsci.2005.11.006
UNE publication id
une:3203
Abstract
Near-infrared spectroscopy is a rapid screening technique that may be used to determine meat quality traits. While several calibrations on meat quality parameters have been published, the accuracy and robustness of a calibration has rarely been validated with independent samples. In this study, in 207 loin muscles from three independent batches of pigs of different breeds drip loss, colour values, pH and intramuscular fat were determined. Calibrations were made from each combination of two batches and validated with the third batch. Validations of pH, intramuscular fat, drip loss, and L*, a*, and b* colour values had on average 1.27 times the accuracy of the calibration. Breed did not influence the accuracy of the calibration. Intramuscular fat can be determined with good accuracy. Muscle pH and colour values are reasonably well predicted. Drip loss can not be determined quantitatively with sufficient accuracy, but classification of quality groups is possible.
Link
Citation
Meat Science, 73(1), p. 181-184
ISSN
1873-4138
0309-1740
Start page
181
End page
184

Files:

NameSizeformatDescriptionLink