Combined effects of UV-C pretreatment and subsequent pasteurization on the alteration in bovine milk metabolomic profile
2
Issued Date
2026-01-01
Resource Type
ISSN
09586946
Scopus ID
2-s2.0-105017846375
Journal Title
International Dairy Journal
Volume
172
Rights Holder(s)
SCOPUS
Bibliographic Citation
International Dairy Journal Vol.172 (2026)
Suggested Citation
Settachaimongkon S., Makararpong D., Koeipudsa C., Denchai S., Homyog K., Mekboonsonglarp W., Assatarakul K. Combined effects of UV-C pretreatment and subsequent pasteurization on the alteration in bovine milk metabolomic profile. International Dairy Journal Vol.172 (2026). doi:10.1016/j.idairyj.2025.106433 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/114382
Title
Combined effects of UV-C pretreatment and subsequent pasteurization on the alteration in bovine milk metabolomic profile
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Abstract
This study investigated the impact of ultraviolet-C (UV-C) irradiation in combination with pasteurization on the variation in bovine milk metabolite composition. Raw milk was pretreated with UV-C (253 nm) at two different doses (0.95 and 2.20 J L<sup>−1</sup>), followed by pasteurization, to assess how exposure intensity and processing sequence influence metabolite composition. A total of 45 non-volatile metabolites were identified using<sup>1</sup>H NMR metabolomics approach. Multivariate analysis revealed distinct metabolome patterns among untreated, different UV-C-treated, and pasteurized milk samples, highlighting treatment-dependent alterations. The higher UV-C irradiation dose (2.20 J L<sup>−1</sup>) resulted in more pronounced metabolite losses in raw milk, attributable to intensified photochemical degradation. Although the combination of UV-C and pasteurization produced cumulative metabolite reductions, notably, UV-C treatment at the lower dose (0.95 J L<sup>−1</sup>) appeared to sensitize milk metabolites to subsequent heat-induced degradation. These findings provide insights into how combined UV-C and thermal treatments impact milk metabolomic profile, emphasizing the necessity for further process optimization.