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Journal of Dairy Science
Volume 89, Issue 6
, Pages
1926-1937
, June 2006
Utilization of Fourier Transform Infrared Spectroscopy for Measurement of Organic Phosphorus and Bound Calcium in Cheddar Cheese
-
Typical buffering curve of a 1:39 (wt/wt) cheese:water dispersion (shown is the HLH treatment
=
high Ca and P, low lactose, and high S/M). The shaded area was used as the measure of buffering capacity oTypical buffering curve of a 1:39 (wt/wt) cheese:water dispersion (shown is the HLH treatment
=
high Ca and P, low lactose, and high S/M). The shaded area was used as the measure of buffering capacity of cheese. -
Correlation between bound Ca and buffering peak area (n=167). HHH (●)=high Ca and P, high lactose, and high S/M; HHL (○)=high Ca and P, high lactose, and low S/M; HLH (▴)=high Ca and P, low lactose, aCorrelation between bound Ca and buffering peak area (n
=
167). HHH (●)
=
high Ca and P, high lactose, and high S/M; HHL (○)
=
high Ca and P, high lactose, and low S/M; HLH (▴)
=
high Ca and P, low lactose, and high S/M; HLL (▵)
=
high Ca and P, low lactose, and low S/M; LHH (■)
=
low Ca and P, high lactose, and high S/M; LHL (□)
=
low Ca and P, high lactose, and low S/M; LLH (♦)
=
low Ca and P, low lactose, and high S/M; LLL (♢)
=
low Ca and P, low lactose, and low S/M. -
Unit area normalized infrared spectra used for characterizing the shifts. HHH=high Ca and P, high lactose, and high S/M; LLL=low Ca and P, low lactose, and low S/M.Unit area normalized infrared spectra used for characterizing the shifts. HHH
=
high Ca and P, high lactose, and high S/M; LLL
=
low Ca and P, low lactose, and low S/M. -
A) Correlation coefficient (R) of different wavenumbers in the IR spectra with organic P values; B) corresponding partial least squares prediction model (n=216). HHH (●)=high Ca and P, high lactose, aA) Correlation coefficient (R) of different wavenumbers in the IR spectra with organic P values; B) corresponding partial least squares prediction model (n
=
216). HHH (●)
=
high Ca and P, high lactose, and high S/M; HHL (○)
=
high Ca and P, high lactose, and low S/M; HLH (▴)
=
high Ca and P, low lactose, and high S/M; HLL (▵)
=
high Ca and P, low lactose, and low S/M; LHH (■)
=
low Ca and P, high lactose, and high S/M; LHL (□)
=
low Ca and P, high lactose, and low S/M; LLH (♦)
=
low Ca and P, low lactose, and high S/M; LLL (♢)
=
low Ca and P, low lactose, and low S/M. -
A) Correlation coefficient (R) of different wavenumbers in the IR spectra with bound Ca values; B) corresponding partial least squares prediction model (n=215). HHH (●)=high Ca and P, high lactose, anA) Correlation coefficient (R) of different wavenumbers in the IR spectra with bound Ca values; B) corresponding partial least squares prediction model (n
=
215). HHH (●)
=
high Ca and P, high lactose, and high S/M; HHL (○)
=
high Ca and P, high lactose, and low S/M; HLH (▴)
=
high Ca and P, low lactose, and high S/M; HLL (▵)
=
high Ca and P, low lactose, and low S/M; LHH (■)
=
low Ca and P, high lactose, and high S/M; LHL (□)
=
low Ca and P, high lactose, and low S/M; LLH (♦)
=
low Ca and P, low lactose, and high S/M; LLL (♢)
=
low Ca and P, low lactose, and low S/M. -
A) Correlation coefficient (R) of different wavenumbers in the IR spectra with buffering peak areas; B) corresponding partial least squares prediction model (n=167). HHH (●)=high Ca and P, high lactosA) Correlation coefficient (R) of different wavenumbers in the IR spectra with buffering peak areas; B) corresponding partial least squares prediction model (n
=
167). HHH (●)
=
high Ca and P, high lactose, and high S/M; HHL (○)
=
high Ca and P, high lactose, and low S/M; HLH (▴)
=
high Ca and P, low lactose, and high S/M; HLL (▵)
=
high Ca and P, low lactose, and low S/M; LHH (■)
=
low Ca and P, high lactose, and high S/M; LHL (□)
=
low Ca and P, high lactose, and low S/M; LLH (♦)
=
low Ca and P, low lactose, and high S/M; LLL (♢)
=
low Ca and P, low lactose, and low S/M.
PII: S0022-0302(06)72260-3
doi: 10.3168/jds.S0022-0302(06)72260-3
© 2006 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.
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Journal of Dairy Science
Volume 89, Issue 6
, Pages
1926-1937
, June 2006
