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Cristin-resultat-ID:
1937540
Sist endret:
6. januar 2022, 10:22
NVI-rapporteringsår:
2021
Resultat
Vitenskapelig artikkel
2021
Exploring Dry-Film FTIR Spectroscopy to Characterize Milk Composition and Subclinical Ketosis throughout a Cow’s Lactation
Amira Rachah
Olav Reksen
Valeria Tafintseva
Felicia Judith Marie Stehr
Elling-Olav Rukke
Egil Prestløkken
mfl.
Tidsskrift
Tidsskrift
Foods
ISSN 2304-8158
e-ISSN 2304-8158
NVI-nivå 1
Finn i kanalregisteret
Om resultatet
Om resultatet
Vitenskapelig artikkel
Publiseringsår: 2021
Volum: 10
Hefte: 9
Artikkelnummer: 2033
Open Access
Lenker
Lenker
original online (doi)
https://doi.org/10.3390/foods10092033
Institusjonsarkiv
hdl.handle.net/11250/2783620
Importkilder
Importkilder
Scopus-ID: 2-s2.0-85114100292
Klassifisering
Klassifisering
Emneord
Melk • Fatty acid predictions • Subclinical ketosis • Cow health monitoring • Dry film FTIR spectroscopy
Beskrivelse
Beskrivelse
Engelsk
Tittel
Exploring Dry-Film FTIR Spectroscopy to Characterize Milk Composition and Subclinical Ketosis throughout a Cow’s Lactation
Sammendrag
The use of technologies for measurements of health parameters of individual cows may ensure early detection of diseases and maximization of individual cow and herd potential. In the present study, dry-film Fourier transform infrared spectroscopy (FTIR) was evaluated for the purpose of detecting and quantifying milk components during cows’ lactation. This was done in order to investigate if these systematic changes can be used to identify cows experiencing subclinical ketosis. The data included 2329 milk samples from 61 Norwegian Red dairy cows collected during the first 100 days in milk (DIM). The resulting FTIR spectra were used for explorative analyses of the milk composition. Principal component analysis (PCA) was used to search for systematic changes in the milk during the lactation. Partial least squares regression (PLSR) was used to predict the fatty acid (FA) composition of all milk samples and the models obtained were used to evaluate systematic changes in the predicted FA composition during the lactation. The results reveal that systematic changes related to both gross milk composition and fatty acid features can be seen throughout lactation. Differences in the predicted FA composition between cows with subclinical ketosis and normal cows, in particular C14:0 and C18:1cis9, showed that dietary energy deficits may be detected by deviations in distinct fatty acid features.
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Bidragsytere
Bidragsytere
Amira Rachah
Forfatter
ved Bærekraftig energiteknologi ved SINTEF AS
Olav Reksen
Forfatter
ved Institutt for produksjonsdyrmedisin ved Norges miljø- og biovitenskapelige universitet
Valeria Tafintseva
Forfatter
ved Institutt for fysikk ved Norges miljø- og biovitenskapelige universitet
Felicia Judith Marie Stehr
Forfatter
ved Kjemi, bioteknologi og matvitenskap ved Norges miljø- og biovitenskapelige universitet
Elling-Olav Rukke
Forfatter
ved Kjemi, bioteknologi og matvitenskap ved Norges miljø- og biovitenskapelige universitet
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