Abstract
Meat quality measurements were carried out on 123 slaughter pigs at 45 min post mortem. The measurements consisted of determinations of light scattering with carcass grading equipment, i.e. the Danish Fat-o-Meat’er (FOM) and the New Zealand Hennessy Grading Probe 2 (HGP), and the Fibre Optic Probe (FOP), in combination with pH measurements in the lumbar region of M. longissimus and M. semimembranosus. Additionally, meat quality was evaluated visually and by tristimulus colour measurements on M. longissimus lumborum at 24 h post mortem.
The mutual correlations between the various meat quality characteristics were quite low, despite their high levels of significance. The low correlations could be explained by the small variation in muscle colour that was present in the material under study. It was concluded that measurements of light scattering have limitations, only a portion of the PSE carcasses could be detected by using these measurements. Because of the small variation in muscle colour we found it impossible to clearly distinguish accuracy differences among the three methods studied. A suggestion was made that for predicting pork quality, reflectance measurements may be improved by a shift of the measuring position from the thoracic to the lumbar region of M. longissimus.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Lundström, K., Bjärstorp, G.and Malmfors, G., 1984. Comparison of different methods for evaluation of pig meat quality. Proc. Scient. Meeting ‘Biophysical PSE-muscle analysis’ (Ed. H. Pfützner) (Technical University, Vienna) pp 311–322.
Lundström, K., Hansson, I. and Bjärstorp, G., 1985. The relationship between slaughter-line and 24-hour measurement of pig meat colour and light scattering by the use of Hennessy grading and fibre optic probe. In: Proc. E C Seminar ‘Evaluation and control of meat quality in pigs’, Dublin, Nov, 1985.
MacDougall, D.B., 1984. ‘Detection of PSE-meat by the MRI Fibre Optic Probe (FOP). Proc. Scient. Meeting ‘Biophysical PSE-muscle analysis’ (Ed. H. Pfützner) (Technical University, Vienna) pp 162–168.
Nakai, H., Saito, F., Ikeda, T., Ando, S. and Komatsu, A., 1975. Standard models of pork-colour. Bull. Nat. Inst. Animal Industry, 29, 69–74.
Sack, E., Fischer, K., Canstein, B. von and Scheper, J., 1984. Relationship between meat characteristics and FOM-refleetion values. Proc. Scient. Meeting ‘Biophysical PSE-muscle analysis’ (Ed. H. Pfützner) (Technical University, Vienna) pp 304–310.
Somers, C., Tarrant, P.V. and Sherington, J., 1984. Evaluation of some objective methods for measuring pork quality. Proc. Scient. Meeting ‘Biophysical PSE-muscle analysis’ (Ed. H. Pfützner) (Technical University, Vienna) pp 230–242.
Wal, P.G. van der, 1985. Fibre Optic Probe (reflectie)-waarden in ham en karbonadestreng. Vleesdistr. & Vleestechnol., 20(6), 16–19.
Wal, P.G. van der, Eikelenboom, G. and Custers, J.P., 1985. Detectie van PSE in varkenskarkassen met behulp van de Fibre Optic Probe. Vleesdistr. & Vleestechnol., 20 (3), 18–19.
Wal, P.G. van der en Nijeboer, H., 1985. Metingen met classificatie-apparatuur in combinative met 1ichtrefleetie-metingen met de Fibre Optic Probe. Res. Inst. Anim. Prod. ‘Schoonoord’, Zeist. Report B-261.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1987 ECSC, EEC, EAEC, Brussels-Luxembourg
About this chapter
Cite this chapter
van der Wal, P.G., Nijeboer, H., Merkus, G.S.M. (1987). The Measurement of Light Scattering Properties at 45 min Post Mortem for Prediction of Pork Quality. In: Tarrant, P.V., Eikelenboom, G., Monin, G. (eds) Evaluation and Control of Meat Quality in Pigs. Current Topics in Veterinary Medicine and Animal Science, vol 38. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-3301-9_16
Download citation
DOI: https://doi.org/10.1007/978-94-009-3301-9_16
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-7982-2
Online ISBN: 978-94-009-3301-9
eBook Packages: Springer Book Archive