Journal of Dairy Science
Volume 91, Issue 8 , Pages 2925-2937 , August 2008

Goat Milk Free Fatty Acid Characterization During Conventional and Ohmic Heating Pasteurization

Received 18 November 2007 ,Accepted 14 April 2008.

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    Pilot-plant scheme used in conventional and ohmic pasteurization of goat milk.

    Pilot-plant scheme used in conventional and ohmic pasteurization of goat milk.

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    Principal component analysis (PCA) from calibration data of C4:0 (a), C6:0 (b), C8:0 (c), C10:0 (d), C12:0 (e), and C14:0 (f), using solid phase microextraction (SPME) fibers FA (●), FB (■), and FC (▴

    Principal component analysis (PCA) from calibration data of C4:0 (a), C6:0 (b), C8:0 (c), C10:0 (d), C12:0 (e), and C14:0 (f), using solid phase microextraction (SPME) fibers FA (●), FB (■), and FC (▴). Principal components (PC) 1 and 2 relate to the concentrations of standard FFA and the extraction performance of different SPME fibers, respectively.

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    Robust linear regression for C4:0 (a), C6:0 (b), C8:0 (c), C10:0 (d), C12:0 (e), and C14:0 (f), extracted by using solid phase micro-extraction fibers FA (●), FB (■), and FC (▴). C4 to C10 = concentra

    Robust linear regression for C4:0 (a), C6:0 (b), C8:0 (c), C10:0 (d), C12:0 (e), and C14:0 (f), extracted by using solid phase micro-extraction fibers FA (●), FB (■), and FC (▴). C4 to C10 = concentration of FFA; Cpi = concentration of internal standard; A = chromatogram peak area of FFA; and Ai = chromatogram peak area of internal standard.

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    Maximum and minimum percentage weight of FFA in untreated raw milk samples.

    Maximum and minimum percentage weight of FFA in untreated raw milk samples.

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    Principal component analysis of FFA composition in milks A, B, C, and D: (●) ST; (○) CV; (□) DM; (■) PPST; (♦) PP; (▴) POST; (●) PO. Principal components (PC) 1 and 2 relate to the concentration of C1

    Principal component analysis of FFA composition in milks A, B, C, and D: (●) ST; (○) CV; (□) DM; (■) PPST; (♦) PP; (▴) POST; (●) PO. Principal components (PC) 1 and 2 relate to the concentration of C10:0 against other FFA and C4:0 + C6:0 against C8:0 and C10:0, respectively.

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    Hierarchical clustering between principal component analysis (PCA) loadings.

    Hierarchical clustering between principal component analysis (PCA) loadings.

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    Hierarchical clustering between principal component analysis (PCA) scores.

    Hierarchical clustering between principal component analysis (PCA) scores.

PII: S0022-0302(08)71088-9

doi: 10.3168/jds.2007-0873

Journal of Dairy Science
Volume 91, Issue 8 , Pages 2925-2937 , August 2008