Reference : Creation of universal MIR calibration by standardization of milk spectra: example of ...
Scientific congresses and symposiums : Paper published in a book
Life sciences : Food science
Life sciences : Animal production & animal husbandry
http://hdl.handle.net/2268/172014
Creation of universal MIR calibration by standardization of milk spectra: example of fatty acids
English
[fr] Création d'équations de calibration universelles en utilisant la standardisation de l'information spectrale: exemple des acides gras
Grelet, Clément [Centre wallon de recherches agronomiques - CRA-W > Qualité des productions agricoles > > >]
Fernandez Pierna, Juan [Centre wallon de recherches agronomiques - CRA-W > Qualité des productions agricoles > > >]
Soyeurt, Hélène [Université de Liège - ULiège > Sciences agronomiques > Zootechnie >]
Dehareng, Frédéric [Centre wallon de recherches agronomiques - CRA-W > Qualité des productions agricoles > > >]
Gengler, Nicolas [Université de Liège - ULiège > Sciences agronomiques > Zootechnie >]
Dardenne, Pierre [Centre wallon de recherches agronomiques - CRA-W > Qualité des productions agricoles > > >]
Aug-2014
Copenhagen 2014
Book of abstracts of the 65th annual meeting of the European Federation of Animal Science
Wageningen Academic Publishers
Nº. 20
108
Yes
No
International
978-90-8686-248-1
Wageningen
Netherlands
65th annual meeting of the European Federation of Animal Science
25-29 August 2014
EAAP - European Federation of Animal Science
Copenhagen
Denmark
[en] milk ; fatty acid ; infrared
[fr] lait ; acide gras ; infrarouge
[en] Due to the interest of fatty acids (FA) for the nutritional quality of milk fat and their links to the physiological status of cows, there is an increasing interest to analyse the FA profile of cow milk by mid-infrared spectroscopy (MIR). Indeed, this technology is worldwide used for milk analysis and allows fast and cheap analysis. To build robust MIR equations, a large spectral dataset including samples covering the maximum chemical variability and FA reference values is needed; however this kind of dataset is difficult to obtain mainly due to the cost of reference analysis. Therefore, the sharing of data is a potential solution, but different brands and types of MIR apparatus exist, and therefore different spectral responses and formats, involving difficulties to directly merge all datasets. The objective of this study was to standardize the spectra coming from different apparatus on the same format through a Piece-wise Direct Standardization (PDS) in order to group them into a common database and then to construct robust MIR FA equations. For this, milk samples were collected in Belgium, United Kingdom, Luxembourg, Ireland, France and Germany during 8 years, and measured in different MIR instruments (Foss and Bentley). The reference FA concentrations were measured by gas chromatography. This allowed to group 1,804 samples covering a large FA and spectral variability as well as different geographical areas, breeds, diets and seasons. Calibrations were performed using the chemometric tool Partial Least Squares (PLS) and the first results showed R2 ranging from 0.67 to 0.99 and a ratio of standard error of cross-validation to standard deviation (RPD) ranging from 1.73 and 9.74. The perspective of this work is to allow the use of unique (universal) equations in different countries and different MIR apparatus.
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/172014

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