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Use of CT in the evaluation of carcass composition and meat quality in live pigs, carcasses or cuts Maria Font-i-Furnols 22nd April 2015 Applications of computed tomography in the meat sector

Applications of computed tomography in the meat sector

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Page 1: Applications of computed tomography in the meat sector

Use of CT in the evaluation of carcass composition

and meat quality in live pigs, carcasses or cuts

Maria Font-i-Furnols

22nd April 2015

Applications of computed tomography in the meat sector

Page 2: Applications of computed tomography in the meat sector

Non-invasive

Applicable at:

– Breeding

– Nutrition

– Animal Health

– Slaughter plants

– Cutting plants

– Processing plants

Computed Tomography (CT)

Page 3: Applications of computed tomography in the meat sector

IRTA

Page 5: Applications of computed tomography in the meat sector
Page 6: Applications of computed tomography in the meat sector

Calibration Curves

Page 7: Applications of computed tomography in the meat sector

Calibration Curves

bone lean fat

Grey intensity

Volu

me

Page 8: Applications of computed tomography in the meat sector
Page 9: Applications of computed tomography in the meat sector

USE OF CT IN LIVE PIGS

Page 10: Applications of computed tomography in the meat sector

IMAGES PROCESSING

Page 11: Applications of computed tomography in the meat sector

IMAGES PROCESSING

Estimation of carcass and cuts

composition and weight

Page 12: Applications of computed tomography in the meat sector

CARCASS AND CUTS COMPOSITION AND ALLOMETRIC

GROWTH BY GENOTYPE AND SEXE

Carabús et al., 2015 - Animal

Page 13: Applications of computed tomography in the meat sector

USE OF CT IN CARCASSES AND CUTS

Calibration of CT to estimate lean meat percentage

in commercial pig carcasses N=123 carcasses

Selected according fat depth G34FOM: 24-49-27%

Representation of the 3 sexes: C, F and M

100 · )tenderloinshoulder,belly,loin,,weight(ham

tenderloinshoulder)belly,loin,lean(ham,

·89.0(%)089LMP

140 kV, 145 mA, DFOV = 460

mm, 10 mm-thick, pitch 1,

Matrix 512 x 512,

reconstruction algorithm:

STD+

Page 14: Applications of computed tomography in the meat sector

IRTA

Page 15: Applications of computed tomography in the meat sector

Predictive Equation

X: LMP0.89

Y: from Hounsfield -100 to +120

lv=5

Linear fitting (R²=0.952)

50

55

60

65

70

75

50 55 60 65 70 75

LMPCT

LM

P089

Activas Modelo

Int. de conf. (Media 95%) Int. de conf. (Obs. 95%)

Observations

Mean CI (95%) Observations CI (95%)

Regression equation: LMP0.89=0.98 LMPCT+1.14

PLS

Font-i-Furnols et al. 2008. Chem. Intel. Lab. Systems, 98, 31

Page 16: Applications of computed tomography in the meat sector

Prediction of the lean meat percentage of the carcass by

means of the CT scanning of the 4 different main joints

(variables from -100 to +120 Hounsfield) (n=52).

Joint Extracted

factors

RMSEPCV

(%)

Ham 5 0.97

Loin 4 1.37

Belly 2 1.73

Shoulder 2 1.75

Ham+Loin+Belly+Shoulder 6 0.71

Font-i-Furnols et al. 2008. Chem. Intel. Lab. Systems, 98, 31

Page 17: Applications of computed tomography in the meat sector

CT: GE HiSpeed Zx/i CT

161 Holstein steers and bulls

Beef cuts between the 9th

and the 11th ribs.

Slaughtered at 10,12 and 14

months of age.

BEEF CUTS COMPOSITION

Scanned completely

1 image every 10 mm

(average 27 images)

Imatge at the

level of the

10th rib

10 mm-thick

Helical 2s

140 kV

145 mA

512 x 512 matrix

Page 18: Applications of computed tomography in the meat sector

Dissected, separated and weighed

Lean Intermuscular fat

Subcutaneus fat Bones

Page 19: Applications of computed tomography in the meat sector

18 20/05/2015

USE OF CT TO DETERMINE INTRAMUSCULAR

FAT IN PORK LOINS

Page 20: Applications of computed tomography in the meat sector

-Scanned by CT General Electric HiSpeed Zx/i

-Scanning of the loin at the level of the 3th-4th last rib

- 2 types of scanning procedures:

Axial full 3s

1mm thick

120 kV

200 mA

EDGE

Scan 1

Axial full 1s

10mm thick

140 kV

145 mA

STND

Scan 2

Font-i-Furnols et al. 2013. Chem. Intel. Lab. Systems, 122, 58

Page 21: Applications of computed tomography in the meat sector

Table 4: Calibration and validation accuracy when multiple

linear regression is applied.

Font-i-Furnols et al. 2013. Chem. Intel. Lab. Systems, 122, 58

Page 22: Applications of computed tomography in the meat sector

Calibration to determine NaCl contents, water content, water

activity and intramuscular fat during dry-cured ham processing

Determinations of fat and lean content in fresh ham

Assessment of salt diffusion in ham during salting

Impact of pre-salting treatments in dry-cured ham processing

Impact of storage conditions previous salting and salting

temperature in dry-cured ham processing

Day 0 Day 12 Day 30

APPLICATION IN HAM PROCESSING

Page 23: Applications of computed tomography in the meat sector

Calibration Curves

[email protected]