Journal of Dairy Science
Volume 91, Issue 3 , Pages 950-958 , March 2008

Monitoring Quality Loss of Pasteurized Skim Milk Using Visible and Short Wavelength Near-Infrared Spectroscopy and Multivariate Analysis

  • H.M. Al-Qadiri

      Affiliations

    • Department of Nutrition and Food Technology, Faculty of Agriculture, University of Jordan, Amman 11942, Jordan
    • Corresponding Author InformationCorresponding author.
  • ,
  • M. Lin

      Affiliations

    • Food Science Program, University of Missouri, Columbia 65211-5160
  • ,
  • M.A. Al-Holy

      Affiliations

    • Department of Clinical Nutrition and Dietetics, Faculty of Allied Health Sciences, Hashemite University, Zarqa 13115, Jordan
  • ,
  • A.G. Cavinato

      Affiliations

    • Chemistry and Biochemistry Program, Eastern Oregon University, One University Blvd., La Grande 97850-2899
  • ,
  • B.A. Rasco

      Affiliations

    • Department of Food Science and Human Nutrition, Box 646376, Washington State University, Pullman 99164-6376

Received 15 August 2007 ,Accepted 8 November 2007.

  • Image Result

    Representative visible and short wavelength near-infrared spectral patterns (600 to 1,100nm) of control (t=0h) and milk samples stored at 6, 21, and 37°C for t=3 (A), 8 (B), and 30h (C).

    Representative visible and short wavelength near-infrared spectral patterns (600 to 1,100nm) of control (t=0h) and milk samples stored at 6, 21, and 37°C for t=3 (A), 8 (B), and 30h (C).

  • Image Result

    Representative second-derivative transformation of spectral patterns for control (t=0h) and milk samples stored at 6 (A), 21 (B), and 37°C (C) for t=3, 8, and 30h.

    Representative second-derivative transformation of spectral patterns for control (t=0h) and milk samples stored at 6 (A), 21 (B), and 37°C (C) for t=3, 8, and 30h.

  • Image Result

    Principal components analysis for control (t=0h) and pasteurized milk samples stored at 6 (A), 21 (B), and 37°C (C) for t=3, 8, and 30h.

    Principal components analysis for control (t=0h) and pasteurized milk samples stored at 6 (A), 21 (B), and 37°C (C) for t=3, 8, and 30h.

  • Image Result

    Soft independent modeling of class analogy classification of control (t=0h; A) compared with milk samples stored at 6 (B), 21 (C), and 37°C (D) at t=30h.

    Soft independent modeling of class analogy classification of control (t=0h; A) compared with milk samples stored at 6 (B), 21 (C), and 37°C (D) at t=30h.

  • Image Result

    Comparison of the measured with predicted bacterial count (log10 aerobic plate count cfu/mL) for a partial least squares model (5 latent variables): control (t=0h; A) and milk samples stored at 6 (B),

    Comparison of the measured with predicted bacterial count (log10 aerobic plate count cfu/mL) for a partial least squares model (5 latent variables): control (t=0h; A) and milk samples stored at 6 (B), 21 (C), and 37°C (D) for t=30h.

  • Image Result
    Comparison of the measured and predicted pH for a partial least squares model (5 latent variables): control (t=0h; A) and milk samples stored at 6 (B), 21 (C), and 37°C (D) for t=30h.

    Comparison of the measured and predicted pH for a partial least squares model (5 latent variables): control (t=0h; A) and milk samples stored at 6 (B), 21 (C), and 37°C (D) for t=30h.

PII: S0022-0302(08)71350-X

doi: 10.3168/jds.2007-0618

Journal of Dairy Science
Volume 91, Issue 3 , Pages 950-958 , March 2008