Journal of Dairy Science
Volume 89, Issue 8 , Pages 2817-2832 , August 2006

Calibration of Infrared Milk Analyzers: Modified Milk Versus Producer Milk1

  • K.E. Kaylegian

      Affiliations

    • Northeast Dairy Foods Research Center Department of Food Science, Cornell University Ithaca, NY 14853
    • ,
  • G.E. Houghton

      Affiliations

    • Kestrel Software Consulting, Berkshire, NY 13736
    • ,
  • J.M. Lynch

      Affiliations

    • Northeast Dairy Foods Research Center Department of Food Science, Cornell University Ithaca, NY 14853
    • ,
  • J.R. Fleming

      Affiliations

    • USDA, Agricultural Marketing Service, Texas Milk Marketing Area, P. O. Box 110939 Carrollton 75011
    • ,
  • D.M. Barbano

      Affiliations

    • Northeast Dairy Foods Research Center Department of Food Science, Cornell University Ithaca, NY 14853
    • Corresponding Author InformationCorresponding author.

Received 2 October 2005 ,Accepted 4 January 2006.

References 

  1. AOAC. Official Methods for Analysis. 17th ed.. Gaithersburg, MD: AOAC International; 2000;
  2. Barbano DM, Clark JL. Infrared milk analysis –Challenges for the future. J. Dairy Sci. 1989;72:1627–1636
  3. Barbano DM, Lynch JM. Crude and protein nitrogen bases for protein measurement and their impact on current testing accuracy. J. Dairy Sci. 1992;75:3210–3217
  4. Biggs DA, Johnsson G, Sjaunja LO. Analysis of fat, protein, lactose, & total solids by infrared absorption. Monograph on Rapid Indirect Methods for Measurement of the Major Components of Milk. Brussels, Belgium: Int. Dairy Fed; 1987;Pages 21–30 Bull. Int. Dairy Fed. No. 208.
  5. Biggs DA, McKenna D. Alternative methods for infrared analysis of fat in milk: Interlaboratory study. J. AOAC. 1989;72:724–734
  6. Cook RD. Detection of influential observation in linear regression. Technometrics. 1977;19:15–18
  7. Cook RD, Weisberg S. Characterizations of an empirical influence function for detecting influential cases in regression. Technometrics. 1980;22:495–508
  8. IDF. Whole milk: Determination of milkfat, protein and lactose content. Guidance on the operation of mid-infrared instruments. Brussels, Belgium: Int. Dairy Fed.; 2000;IDF Standard 141C:2000.
  9. Lynch JM. Use of AOAC International method performance statistics in the laboratory. J. AOAC Int. 1998;81:679–684
  10. Lynch JM, Barbano DM, Fleming JR. Variation in the ash and nonprotein nitrogen content of milk, and use of milk protein content to predict ash content. J. Dairy Sci. 1990;73(Suppl. 1):92;(Abstr.)
  11. Lynch JM, Barbano DM, Fleming JR. Evaluation of commercially available milk powders for calibration of mid-infrared analyzers. J. AOAC Int. 1995;78:1219–1224
  12. Schaefer HH. Upper Midwest Marketing Area analysis of component levels and somatic cell count in individual herd milk at the farm level 2002. Minneapolis, MN: Fed. Milk Market Admin. Office; 2003;Staff paper 03-01
  13. Smith EB, Barbano DM, Lynch JL, Fleming JR. Performance of homogenizers in infrared milk analyzers: A survey. J. AOAC Int. 1993;76:1033–1041
  14. Smith EB, Barbano DM, Lynch JL, Fleming JR. A quantitative linearity evaluation method for infrared milk analyzers. J. AOAC Int. 1993;76:1300–1308
  15. Smith EB, Barbano DM, Lynch JL, Fleming JR. Infrared analysis of milk: Effect of homogenizer and optical filter selection on apparent homogenization efficiency and repeatability. J. AOAC Int. 1995;78:1225–1233
  16. van de Voort FR, Elkashef AA, Mills BL. Dry calibration milks for infrared milk analyzers. J. AOAC. 1990;73:688–692

PII: S0022-0302(06)72555-3

doi: 10.3168/jds.S0022-0302(06)72555-3

Journal of Dairy Science
Volume 89, Issue 8 , Pages 2817-2832 , August 2006

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