Metabolomics to Assess Quality and Traceability of Milk and Dairy Products

A special issue of Dairy (ISSN 2624-862X). This special issue belongs to the section "Metabolomics and Foodomics".

Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 3061

Special Issue Editors

Guest Editor
Department of Animal Science, Food and Nutrition (DIANA), Università Cattolica del Sacro Cuore, Piacenza and Cremona Campus, Piacenza, Italy
Interests: foodomics; feedomics; food chemistry; cheese; milk; food quality and traceability
Special Issues, Collections and Topics in MDPI journals
State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China
Interests: milk metabolomics; rumen microorganism; metabolism; foodomics

Special Issue Information

Dear Colleagues,

Metabolomics is currently an established though ever-evolving analytical platform for use in different disciplines, such as animal science, food science, and plant science. In recent years, the application of metabolomics to the field of dairy science has grown considerably, with important factors and biomarker compounds related to animal health, production, authentication, and contributors to milk technofunctional properties being proposed. However, milk metabolites can be affected by a variety of factors, including matrix effects, animal species, animal status, farming and feeding systems, thermal treatment, and type of processing, among others. Therefore, the aim of this Special Issue is to collect the most recent advances related to the different factors able to affect the milk metabolomic profile, with particular emphasis on bovine milk. Thus, we strongly encourage the submission of review articles, research papers, and technical notes on this topic able to provide updated information on milk quality and traceability.

Dr. Gabriele Rocchetti
Dr. Bing Wang
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • milk metabolomics
  • cheese metabolomics
  • rumen metabolomics
  • plasma metabolomics
  • feeding systems
  • mycotoxins
  • shelf-life
  • seasonality
  • milk traceability
  • milk quality

Published Papers (1 paper)

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12 pages, 988 KiB  
Occurrence of Polyphenols, Isoflavonoids, and Their Metabolites in Milk Samples from Different Cow Feeding Regimens
by Gabriele Rocchetti, Francesca Ghilardelli, Martina Mosconi, Francesco Masoero and Antonio Gallo
Dairy 2022, 3(2), 314-325; - 06 May 2022
Cited by 1 | Viewed by 2131
In this work, milk samples collected in a cohort of intensive dairy farms of the Po Valley (Italy) were screened for their (poly)-phenolic profile to check the occurrence of phenolic metabolites of biological interest. The selected dairy farms were previously classified on the [...] Read more.
In this work, milk samples collected in a cohort of intensive dairy farms of the Po Valley (Italy) were screened for their (poly)-phenolic profile to check the occurrence of phenolic metabolites of biological interest. The selected dairy farms were previously classified on the basis of their cow feeding system, considering the utilization of corn silage as the main ingredient of the rations. Overall, ultra-high-pressure liquid chromatography coupled with mass spectrometry using an Orbitrap analyzer, followed by unsupervised and supervised statistics, allowed identifying clear different phenolic distributions in the milk samples. Accordingly, a great variability in the phenolic profiles of the different milk samples was observed, with two main phenolic clusters outlined by the unsupervised hierarchical clustering approach and not fully correlated to the nutritional strategy considered. The variables’ importance in the projection approach allowed selecting the most important metabolites, resulting in samples’ discrimination. Among the most discriminative compounds, we found phenolic metabolites (such as hippuric acid and 4-hydroxyhippuric acid), followed by lignans (such as enterolactone) and isoflavonoids (such as equol and O-desmethylangolensin). Taken together, our findings suggested that both the feeding systems and the ability of dairy cows to process parent phenolic compounds were the main factors providing the final (poly)-phenolic profile of the milk samples. Future targeted and ad hoc studies appear of great interest to evaluate the potential biological effects of these compounds on cow health. Full article
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