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Potential estimation of fatty acid content in cow milk by mid-infrared spectrometry

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Potential Estimation of Fatty

Acid Content in Cow Milk by

Mid-Infrared Spectrometry

H. Soyeurt, P. Dardenne, G. Lognay, C.

Bertozzi, P. Mayeres and N. Gengler

35th ICAR meeting 2006

Context

Context

Chromatographic analysis:

Major advantage : reliability Major inconvenient :

Expensive reagents Time consuming

Mid-Infrared analysis :

Fast analysis (up to 500 samples / hour) Used in routine milk recording

Objective

Objective

Calibration of Mid-Infrared

Spectrometry to estimate the fatty acid

content in bovine milk

2 x 600 milk samples

Conserved at –26°C Analysed by Mid-Infrared

(MilkoScan FT6000) Spectra were exported

PLS approach was used to estimate the calibration equations

Methodology

Methodology

High variability: - April to June 2005 - 275 cows - 6 breeds

PCA based on spectral variability 49 milk samples Chromatographic

analysis 49 Mid-Infrared spectra

The milk fat percentage ranged between 2.97 and 7.73 g / dl milk. Represent the 6 breeds Collomb and Bühler, 2000

Capillary column with length of 50 m

Results and Discussion

Results and Discussion

Globally, CV of chromatographic data

for each fatty acid were inferior to 5 %

41 calibration equations were

estimated:

Fatty acid in milk (g / dl MILK) Fatty acid in milk fat (g / 100 g FAT)

Results and Discussion

Results and Discussion

Cross-validation R² was higher if the FA concentration in milk was higher.

RPD = Ratio of standard error of cross validation to standard deviation

y = 0.0374x2 + 0.7301x + 1.3446 R2 = 0.7526 0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 0.00 0.50 1.00 1.50 2.00 2.50 3.00 3.50 g / dl milk RP D Polynomial (g / dl milk)

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Results

Results

and Discussion

and Discussion

CV = Coefficient of variation ; R²cv = cross-validation coefficient of determination. R²cv were smaller for the prediction of FA in milk fat

CV for FA content in milk fat were generally higher than the CV for FA concentration in milk CV R²cv CV R²cv C4:0 32.35 0.39 39.51 0.51 C6:0 43.41 0.41 48.54 0.52 C8:0 43.85 0.46 49.12 0.59 C10:0 42.76 0.53 45.78 0.64 C10:1 9-cis 58.47 0.45 48.15 0.01 g / 100 g fat g / dl milk Fatty acids CV R²cv CV R²cv C14:0 21.03 0.67 28.63 0.82 C14:1 9-cis 44.28 0.23 39.68 0.07 C15:0 29.82 0.53 30.07 0.40 C16:0 19.06 0.50 33.01 0.82 C16:1 9-cis 34.81 0.37 52.48 0.65 g / dl milk g / 100 g fat Fatty acids

Results

Results

and Discussion

and Discussion

CV = Coefficient of variation ; R²cv = cross-validation coefficient of determination.

R²cvwere smaller for the prediction of FA in milk fat CV for FA content

in milk fat were generally higher than the CV for FA concentration in milk CV R²cv CV R²cv C18:1 19.67 0.53 37.92 0.88 C18:2 9-cis,12-cis 23.55 0.11 34.39 0.62 C18:3 9-cis,12-cis,15-cis 38.68 0.20 42.69 0.14 C18:2 9-cis,11-trans 54.99 0.34 48.74 0.07 g / 100 g fat g / dl milk Fatty acids CV R²cv CV R²cv saturated 9.44 0.63 26.50 0.94 unsaturated 17.44 0.63 34.66 0.66 monounsaturated 18.49 0.52 38.13 0.85 polyunsaturated 22.70 0.10 31.26 0.39 Fatty acids g / 100 g fat g / 100 dl milk

Results and Discussion

Results and Discussion

Predicted concentrations of FA were due to a real absorbance of these FA or due only to the correlations between total fat content and FA ?

If the RCVwere not due to real absorbance specific to FA, these correlations would not be higher than the correlations FA.

-0.20 0.00 0.20 0.40 0.60 0.80 1.00 C4 :0 C6 :0 C8 :0 C1 0 :0 C1 0 :1 C1 2 :0 C1 4 :0 C1 4 :1 C1 5 :0 C1 6 :0 C1 6 :1 C1 8 :0 C1 8 :1 C1 8 :2 C1 8 :3 CL A Correlation FAT Rcv

Results and Discussion

Results and Discussion

Validation with external milk samples is beginning Calibration : June 2005

Validation : May 2006

31 samples were analysed by gas chromatography and by MIR Spectrometry. The contents were compared

Fatty acids N validation correlations

C12:0 31 0.86

C14:0 31 0.84

C14:1 9-cis 31 0.21

C16:0 31 0.82

C16:1 9-cis 31 -0.52

Fatty acids N Validation correlations

C4:0 31 0.22

C6:0 31 0.74

C8:0 31 0.91

C10:0 31 0.91

Results and Discussion

Results and Discussion

Preliminary results are promising

Fatty acids N validation correlations

C18:0 31 -0.26

C18:1 9-cis 31 0.91

C18:2 9-cis, 12-cis 31 0.32

C18:3 9-cis, 12-cis, 15-cis 31 0.006

C18:2 9-cis, 11-trans 31 0.05

Fatty acids N validation correlations

saturated 31 0.92 unsaturated 31 0.83 monounsaturated 31 0.82 polyunsaturated 31 0.19

Conclusions

Conclusions

Estimation of FA concentrations in milk

by MIR Spectrometry seems feasible

For potential use, high R²

CV

and high

RPD parameters would be required

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Conclusions

Conclusions

C18:1 = sum of pics for this type of fatty acid; SD = standard error; SEC = standard error of calibration; R²c = calibration coefficient of determination; SECV = standard error of cross-validation; R²cv = cross-validation coefficient of determination.

g / dl milk Mean SD SEC R²c SECV R²cv

MG 4.55 1.18 0.05 1.00 0.06 1.00 saturated 2.95 0.78 0.12 0.98 0.20 0.94 unsaturated 1.65 0.57 0.29 0.74 0.34 0.66 monounsaturated 1.44 0.55 0.18 0.89 0.22 0.85 polyunsaturated 0.14 0.05 0.03 0.43 0.04 0.39 C4:0 0.28 0.11 0.07 0.59 0.08 0.51 C6:0 0.13 0.06 0.04 0.69 0.04 0.52 C8:0 0.07 0.03 0.02 0.75 0.02 0.59 C10:0 0.14 0.06 0.03 0.77 0.04 0.64 C10:1 9-cis 0.01 0.01 0.01 0.05 0.01 0.01 C12:0 0.12 0.04 0.02 0.82 0.02 0.74 C14:0 0.41 0.12 0.04 0.90 0.05 0.82 C14:1 9-cis 0.03 0.01 0.01 0.12 0.01 0.07 C15:0 0.04 0.01 0.01 0.58 0.01 0.40 C16:0 1.17 0.39 0.11 0.91 0.17 0.82 C16:1 9-cis 0.06 0.03 0.02 0.75 0.02 0.65 C18:0 0.56 0.24 0.12 0.73 0.13 0.69 C18:1 1.34 0.51 0.12 0.95 0.18 0.88 C18:2 9-cis,12-cis 0.09 0.03 0.02 0.76 0.02 0.62 C18:3 9-cis,12-cis,15-cis 0.03 0.01 0.01 0.20 0.01 0.14 C18:2 9-cis,11-trans 0.04 0.02 0.02 0.12 0.02 0.07

Conclusions

Conclusions

Potential uses :

Give some indications of FA profiles for:

Farmers in the routine milk recording Dairy Industry to check their production Future selection program to select animals which produce fat with differentiated fatty acid profile

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