Author
Listed:
- Hana Nejeschlebová
(Dairy Research Institute Ltd., Prague, Czech Republic
Department of Food Biotechnologies and Agricultural Products' Quality, Faculty of Agriculture and Technology, University of South Bohemia in České Budějovice, České Budějovice, Czech Republic)
- Oto Hanuš
(Dairy Research Institute Ltd., Prague, Czech Republic)
- Klára Bartáková
(Department of Animal Origin Food and Gastronomic Sciences, Faculty of Veterinary Hygiene and Ecology, University of Veterinary Sciences Brno, Brno, Czech Republic)
- Craig Parsons
(Bentley Instruments, Inc., Chaska, Minnesota, USA)
- Eva Samková
(Department of Food Biotechnologies and Agricultural Products' Quality, Faculty of Agriculture and Technology, University of South Bohemia in České Budějovice, České Budějovice, Czech Republic)
- Lenka Vorlová
(Department of Animal Origin Food and Gastronomic Sciences, Faculty of Veterinary Hygiene and Ecology, University of Veterinary Sciences Brno, Brno, Czech Republic)
- Gavin Thompson
(Bentley Czech Ltd., Prague, Czech Republic)
- Lucie Hasoňová
(Department of Food Biotechnologies and Agricultural Products' Quality, Faculty of Agriculture and Technology, University of South Bohemia in České Budějovice, České Budějovice, Czech Republic)
- Roman Konečný
(Department of Animal Husbandry Sciences, Faculty of Agriculture and Technology, University of South Bohemia in České Budějovice, České Budějovice, Czech Republic)
- Pavlína Navrátilová
(Department of Animal Origin Food and Gastronomic Sciences, Faculty of Veterinary Hygiene and Ecology, University of Veterinary Sciences Brno, Brno, Czech Republic)
- Marcela Klimešová
(Dairy Research Institute Ltd., Prague, Czech Republic)
Abstract
Lactoferrin (LF) is a multifunctional glycoprotein linked to udder health in dairy cows. This study aimed to develop a calibration model for LF quantification using mid-infrared spectrometry (MIR-FT), with ion-pair reversed-phase high-performance liquid chromatography (HPLC) as the reference method. Two sets of individual milk samples (A: n = 120; B: n = 91) were collected from five dairy farms in the Czech Republic. Set A included a higher proportion of samples with somatic cell count (SCC) above 300 000 cells/ml to ensure broad LF variability. After merging both sets and removing six outliers, a final calibration set C (n = 205) was created. The developed model achieved a cross-validated coefficient of determination of 0.588 7 and a standard error of cross-validation of 67.33 mg/l. Correlation analysis showed that several milk parameters correlated with LF determined by MIR-FT in patterns typical of mastitis (SCC: r = 0.450; lactose: r = -0.364; free fatty acids: r = 0.621; electrical conductivity: r = 0.442), indicating potential for MIR-FT in evaluating mammary gland health. The feasibility of using LF as an indicator of milk adulteration by artificial SCC reduction through centrifugation was also assessed. Two sample sets (n = 20 and n = 68) were analysed, each containing normal bulk tank milk and bulk tank milk supplemented with abnormal milk. Centrifugation caused minimal changes in LF determined by both HPLC and MIR-FT (maximum 3.27%) while SCC decreased by nearly 50%, suggesting that LF may serve as a marker for detecting artificial SCC reduction. However, practical application of MIR-FT for accurate LF determination is limited by the achieved validation parameters and the high expanded uncertainty (114.7 mg/l). The method is therefore more suitable for monitoring relative LF changes in milk than for determining exact LF content.
Suggested Citation
Hana Nejeschlebová & Oto Hanuš & Klára Bartáková & Craig Parsons & Eva Samková & Lenka Vorlová & Gavin Thompson & Lucie Hasoňová & Roman Konečný & Pavlína Navrátilová & Marcela Klimešová, 2025.
"Lactoferrin content determined in bovine milk by HPLC and mid-infrared spectrometry - Relation to udder health and potential for detection of milk adulteration,"
Czech Journal of Animal Science, Czech Academy of Agricultural Sciences, vol. 70(11), pages 467-479.
Handle:
RePEc:caa:jnlcjs:v:70:y:2025:i:11:id:114-2025-cjas
DOI: 10.17221/114/2025-CJAS
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