Detection of mechanically recovered meat and head meat from cattle in ground beef mixtures by multivariate analysis of isoelectric focusing protein profiles

Meat Science

Volumn 57, Issue 3, 2001, Pages 227-234

  Skarpeid, Hans Jacob ^a   Moe, Rita Elin ^a   Indahl, Ulf G ^a  

^a NORWEGIAN FOOD RESEARCH INSTITUTE   (Norway)

Author keywords

Chemometrics; Head meat; Isoelectric focusing; Mechanically recovered meat; Multivariate calibration; Partial least squares regression; PCR; PLS; Principal component regression; RMSEP; Root mean square error of prediction; SDS PAGE; Sodium dodecyl sulfate

Indexed keywords

BOS TAURUS;

EID: 0035545540     PISSN: 03091740     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0309-1740(00)00040-1     Document Type: Article

References (18)

1. Anon. (1995). Immobiline DryPlate user manual, (Edition AB). Pharmacia Biotech publication 71-7030-01.
2. AOAC (1995a). Official methods of analysis, 39.1.15, (16th ed.). AOAC.
3. AOAC (1995b). Official methods of analysis, 39.1.06, (16th ed.). AOAC.
4. Crosland A.R., Patterson R.L.S., Higman R.C., Stewart C.A., Hargin K.D. Investigation of methods to detect mechanically recovered meat in meat products - I. Chemical composition Meat Science. 40:1995;289-302.
5. Dahle, G., Etienne, M., Woolfe, M., Skarpeid, H. J., Downey, G., Hildrum, K. I., Lumley, I., & Pitcher, B. (1999). In M. Lees, Food authenticity (pp. 185-207). Nantes: Eurofilms Scientific.
6. Grus F.H., Zimmermann C.W. Identification and classification of autoantibody repertoires (Western blots) with a pattern recognition algorithm by an artificial neural network. Electrophoresis. 18:1997;1120-1125.
7. Field R.A. Bone marrow measurements for mechanically recovered products from machines that press bones. Meat Science. 51:1999;205-214.
8. Hargin K.D. Authenticity issues in meat and meat products. Meat Science. 43:1996;S277-S289.
9. Jensen K., Kesmir C., Søndergaard I From image processing to classification: IV. Classification of electrophoretic patterns by neural networks and statistical methods enable quality assessment of wheat varieties for breadmaking. Electrophoresis. 17:1996;694-698.
10. Lumley, I. (1996). In: P.R. Ashurst & M.J. Dennis, Food authentication (pp. 108-139). London: Blackie Academic and Professional.
11. Malmheden-Yman, I. (1992). Application note 380. Uppsala: Pharmacia LKB Biotechnology.
12. Martens, H. & Naes, T. (1989). Multivariate calibration, John Wiley & Sons.
13. Savage A.W.J., Richardson R.I., Jolley P.D., Hargin K.D., Stewart C.A. Investigation of methods to detect mechanically recovered meat in meat products - II. Gel electrophoresis Meat Science. 40:1995;303-317.
14. Scheffé H. Experiments with mixtures. Journal of the Royal Statistical Society. Series B, 20:1958;344-360.
15. Skarpeid H.J., Kvaal K., Hildrum K.I. Identification of animal species in ground meat mixtures by multivariate analysis of isoelectric focusing profiles. Electrophoresis. 19:1998;3103-3109.
16. Skovgaard I.M., Jensen K., Søndergaard I. From image processing to classification: III. Matching patterns by shifting and stretching. Electrophoresis. 16:1995;1385-1389.
17. Søndergaard I, Jensen K., Krath B.N. Classification of wheat varieties by isoelectric focusing patterns of gliadins and neural network. Electrophoresis. 15:1994;584-588.
18. Zimmermann C.W., Grus F.H., Dux R. Multivariate statistical comparison of autoantibody-repertoires (Western blots) by discriminant analysis. Electrophoresis. 16:1995;941-947.