Angela Di Capua (1), Maria Assunta Acquavia(1), Rosanna Ciriello(1), Filomena Lelario(1), Carmen Tesoro(1), Roberto Rubino (2), Giuliana Bianco(1)
(1)Università degli Studi della Basilicata, Dipartimento di Scienze, via dell’Ateneo Lucano 10, 85100, Potenza, Italy; (2)ANFoSC – Via San Leonardo 62/A, 84131 Salerno, Italy.
Introduction
Raw materials for food manufacturing are often considered similar in the whole agricultural world, as the parameters commonly employed to evaluate their quality are mostly connected to standard guidelines required by law. Among all the different raw materials employed for food production, milk plays an important role as it is considered a sustainable food worldwide. Different factors such as the animal species, farm and feeding conditions, as well as the location where cows are reared, can affect the milk quality as well as dairy products1. Here, an untargeted LC-MS metabolomic approach was applied to investigate the molecular complexity of milk obtained from cows fed under different regimen with the aim to find a correlation between metabolic fingerprint with their food quality.
Methodologies
During spring 2022 and spring 2023, milk samples were collected from different dairy farms located in Basilicata region, Italy. Dairy farms were divided in grazing farms (group A, 23 samples) and indoor farms (group B, 24 samples). 10 mL of each milk sample were
extracted according to the protocol of Zha et al.2 Analysis on the sample extracts were carried out by Zamboni group at the ETH Zurich using a Q-Exactive HF-X Mass Spectrometer (Thermo Fisher Scientific) coupled to a Vanquish Autosampler – HPLC (Thermo Fisher Scientific) and data processed using SLAW approach3. MetaboAnalyst4 and Phyton were used for data visualization and figures.
The untargeted LC-MS metabolomic approach allowed to establish the molecular complexity of milk obtained from cows fedunder different regimen. Preliminary results showed that the different quality of diary products can be related to polyphenols and lipids, mostly present in milk from grazing regimen.
References Results
Unsupervised principal component analysis revealed differences between the two feeding systems, i.e. indoor system cows and grazing regimen (Figure 1). A lower clusterization was observed for the grazing system, thus reflecting the hetereogenity of the feeding conditions (i.e. soil, water, location).
Van Krevelen diagrams were used to visualize the different metabolic classes to whom each identified compound belonged (Figure 2). discriminant metabolites mainly were polyphenols and lipids (Figure 3).
Conclusions
The untargeted LC-MS metabolomic approach allowed to establish the molecular complexity of milk obtained from cows fed under different regimen. Preliminary results showed that the different quality of diary products can be related to polyphenolsand lipids, mostly present in milk from grazing regimen.
- Bellassi, P., Rocchetti, G., Nocetti, M., Lucini, L., Masoero, F., & Morelli, L. (2021). Foods, 10(1), 109
- Zha, M., Li, K., Zhang, W., Sun, Z., Kwok, L. Y., Menghe, B., & Chen, Y. (2021). LWT, 140, 110759
- Delabriere, A., Warmer, P., Brennsteiner, V., & Zamboni, N. (2021). Analytical chemistry, 93(45), 15024-15032
- Pang, Z., Chong, J., Li, S. and Xia, J. (2020) Metabolites 10(5) 186 Number of metabolites
Acknowledgements
We thank Prof. Dr. Nicola Zamboni (ETH Zurich) and his group for mass spectrometry analysis. This work is supported by Development and Cohesion Fund (Fondo per lo Sviluppo e la Coesione – FSC),Basilicata Region.
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