Reference : Potential estimation of titratable acidity in cow milk using mid-infrared spectrometry
Scientific congresses and symposiums : Unpublished conference
Life sciences : Animal production & animal husbandry
Life sciences : Food science
Life sciences : Genetics & genetic processes
http://hdl.handle.net/2268/70514
Potential estimation of titratable acidity in cow milk using mid-infrared spectrometry
English
Colinet, Frédéric mailto [Université de Liège - ULg > Sciences agronomiques > Zootechnie >]
Soyeurt, Hélène mailto [Université de Liège - ULg > Sciences agronomiques > Zootechnie >]
Anceau, Christine [Université de Liège - ULg > Chimie et bio-industries > Technologie des industries agro-alimentaires >]
Vanlierde, Amélie [Université de Liège - ULg > Sciences Agronomiques > Zootechnie > 2e an. master bioingé. : sc. agrono., fin. spéc. >]
Keyen, Nicolas [Université de Liège - ULg > Chimie et bio-industries > Technologie des industries agro-alimentaires > >]
Dardenne, Pierre mailto [Centre Wallon de Recherches agronomiques > Qualité des productions agricoles > > >]
Gengler, Nicolas mailto [Université de Liège - ULg > Sciences agronomiques > Zootechnie >]
Sindic, Marianne mailto [Université de Liège - ULg > Chimie et bio-industries > Technologie des industries agro-alimentaires >]
Jun-2010
No
No
International
ICAR 37th Annual Meeting
du 31 mai 2010 au 4 juin 2010
ICAR
Riga
Lettonie
[en] milk ; titratable acidity ; mid-infrared spectrometry ; MIR ; Dornic degree
[en] Milk coagulation has a direct effect on cheese yield. Several factors influence the milk coagulation kinetics. In addition to calcium and milk protein concentrations, titratable acidity influences all the phases of milk coagulation. The objective of this research was to study the feasibility of prediction of titratable acidity directly in bovine milk using mid-infrared spectrometry. In order to maximize the variability in the measurements of titratable acidity, milk samples were collected on basis of several criteria (e.g. breeds). The titratable acidity was recorded as Dornic degree. All samples were also analyzed by MIR spectrometry. Using partial least squares regressions and first derivative pretreatment of spectral data, a calibration equation was built to predict the Dornic degree in cow milk. First results were promising and showed the potentiality to this calibration. The calibration and cross-validation coefficients of determination were 92.25 and 89.88 %, respectively. Moreover, the ratio of standard error of prediction to standard deviation was 3.13 and permits us to consider the calibration equation as usable in most application such as scientific researches and the screening of the Walloon dairy herd particularly in order to improve the milk coagulation properties.
EPAN - GAA
Fonds Européen de Développement Régional - FEDER ; Région wallonne : Direction générale opérationnelle de l'Agriculture, des Ressources Naturelles et de l'Environnement - DGARNE
Researchers ; Professionals
http://hdl.handle.net/2268/70514

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