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Lactoferrin content determined in bovine milk by HPLC and mid-infrared spectrometry - relation to udder health and potential for detection of milk adulteration

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62157124%3A16270%2F25%3A43882815" target="_blank" >RIV/62157124:16270/25:43882815 - isvavai.cz</a>

  • Alternative codes found

    RIV/60076658:12220/25:43910223 RIV/26722861:_____/25:N0000033

  • Result on the web

    <a href="https://cjas.agriculturejournals.cz/pdfs/cjs/2025/11/04.pdf" target="_blank" >https://cjas.agriculturejournals.cz/pdfs/cjs/2025/11/04.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.17221/114/2025-CJAS" target="_blank" >10.17221/114/2025-CJAS</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Lactoferrin content determined in bovine milk by HPLC and mid-infrared spectrometry - relation to udder health and potential for detection of milk adulteration

  • Original language description

    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 reversedphase 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 crossvalidated 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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    40201 - Animal and dairy science; (Animal biotechnology to be 4.4)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Czech Journal of Animal Science

  • ISSN

    1212-1819

  • e-ISSN

    1805-9309

  • Volume of the periodical

    70

  • Issue of the periodical within the volume

    11

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    13

  • Pages from-to

    467-479

  • UT code for WoS article

    001628928700002

  • EID of the result in the Scopus database