Ambient mass spectrometry for rapid authentication of milk from Alpine or lowland forage
Abstract Metabolomics approaches, such as direct analysis in real time-high resolution mass spectrometry (DART-HRMS), allow characterising many polar and non-polar compounds useful as authentication biomarkers of dairy chains. By using both a partial least squares discriminant analysis (PLS-DA) and...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2022-05-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-022-11178-9 |
| _version_ | 1828320746587291648 |
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| author | Alessandra Tata Andrea Massaro Giorgia Riuzzi Ilaria Lanza Marco Bragolusi Alessandro Negro Enrico Novelli Roberto Piro Flaviana Gottardo Severino Segato |
| author_facet | Alessandra Tata Andrea Massaro Giorgia Riuzzi Ilaria Lanza Marco Bragolusi Alessandro Negro Enrico Novelli Roberto Piro Flaviana Gottardo Severino Segato |
| author_sort | Alessandra Tata |
| collection | DOAJ |
| description | Abstract Metabolomics approaches, such as direct analysis in real time-high resolution mass spectrometry (DART-HRMS), allow characterising many polar and non-polar compounds useful as authentication biomarkers of dairy chains. By using both a partial least squares discriminant analysis (PLS-DA) and a linear discriminant analysis (LDA), this study aimed to assess the capability of DART-HRMS, coupled with a low-level data fusion, discriminate among milk samples from lowland (silages vs. hay) and Alpine (grazing; APS) systems and identify the most informative biomarkers associated with the main dietary forage. As confirmed also by the LDA performed against the test set, DART-HRMS analysis provided an accurate discrimination of Alpine samples; meanwhile, there was a limited capacity to correctly recognise silage- vs. hay-milks. Supervised multivariate statistics followed by metabolomics hierarchical cluster analysis allowed extrapolating the most significant metabolites. Lowland milk was characterised by a pool of energetic compounds, ketoacid derivates, amines and organic acids. Seven informative DART-HRMS molecular features, mainly monoacylglycerols, could strongly explain the metabolomic variation of Alpine grazing milk and contributed to its classification. The misclassification between the two lowland groups confirmed that the intensive dairy systems would be characterised by a small variation in milk composition. |
| first_indexed | 2024-04-13T18:15:59Z |
| format | Article |
| id | doaj.art-5759e56abcf44c8ba4d6e866aa335043 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-13T18:15:59Z |
| publishDate | 2022-05-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-5759e56abcf44c8ba4d6e866aa3350432022-12-22T02:35:41ZengNature PortfolioScientific Reports2045-23222022-05-0112111110.1038/s41598-022-11178-9Ambient mass spectrometry for rapid authentication of milk from Alpine or lowland forageAlessandra Tata0Andrea Massaro1Giorgia Riuzzi2Ilaria Lanza3Marco Bragolusi4Alessandro Negro5Enrico Novelli6Roberto Piro7Flaviana Gottardo8Severino Segato9Experimental Chemistry Laboratory, Istituto Zooprofilattico Sperimentale Delle VenezieExperimental Chemistry Laboratory, Istituto Zooprofilattico Sperimentale Delle VenezieDepartment of Animal Medicine, Production and Health, University of PadovaDepartment of Animal Medicine, Production and Health, University of PadovaExperimental Chemistry Laboratory, Istituto Zooprofilattico Sperimentale Delle VenezieExperimental Chemistry Laboratory, Istituto Zooprofilattico Sperimentale Delle VenezieDepartment of Comparative Biomedicine and Food Science, University of PadovaExperimental Chemistry Laboratory, Istituto Zooprofilattico Sperimentale Delle VenezieDepartment of Animal Medicine, Production and Health, University of PadovaDepartment of Animal Medicine, Production and Health, University of PadovaAbstract Metabolomics approaches, such as direct analysis in real time-high resolution mass spectrometry (DART-HRMS), allow characterising many polar and non-polar compounds useful as authentication biomarkers of dairy chains. By using both a partial least squares discriminant analysis (PLS-DA) and a linear discriminant analysis (LDA), this study aimed to assess the capability of DART-HRMS, coupled with a low-level data fusion, discriminate among milk samples from lowland (silages vs. hay) and Alpine (grazing; APS) systems and identify the most informative biomarkers associated with the main dietary forage. As confirmed also by the LDA performed against the test set, DART-HRMS analysis provided an accurate discrimination of Alpine samples; meanwhile, there was a limited capacity to correctly recognise silage- vs. hay-milks. Supervised multivariate statistics followed by metabolomics hierarchical cluster analysis allowed extrapolating the most significant metabolites. Lowland milk was characterised by a pool of energetic compounds, ketoacid derivates, amines and organic acids. Seven informative DART-HRMS molecular features, mainly monoacylglycerols, could strongly explain the metabolomic variation of Alpine grazing milk and contributed to its classification. The misclassification between the two lowland groups confirmed that the intensive dairy systems would be characterised by a small variation in milk composition.https://doi.org/10.1038/s41598-022-11178-9 |
| spellingShingle | Alessandra Tata Andrea Massaro Giorgia Riuzzi Ilaria Lanza Marco Bragolusi Alessandro Negro Enrico Novelli Roberto Piro Flaviana Gottardo Severino Segato Ambient mass spectrometry for rapid authentication of milk from Alpine or lowland forage Scientific Reports |
| title | Ambient mass spectrometry for rapid authentication of milk from Alpine or lowland forage |
| title_full | Ambient mass spectrometry for rapid authentication of milk from Alpine or lowland forage |
| title_fullStr | Ambient mass spectrometry for rapid authentication of milk from Alpine or lowland forage |
| title_full_unstemmed | Ambient mass spectrometry for rapid authentication of milk from Alpine or lowland forage |
| title_short | Ambient mass spectrometry for rapid authentication of milk from Alpine or lowland forage |
| title_sort | ambient mass spectrometry for rapid authentication of milk from alpine or lowland forage |
| url | https://doi.org/10.1038/s41598-022-11178-9 |
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