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Discrimination of conventional and organic white cabbage from a long-term field trial study using untargeted LC-MS-based metabolomics |
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| Authors: | Axel Mie Kristian Holst Laursen K. Magnus Åberg Jenny Forshed Anna Lindahl Kristian Thorup-Kristensen Marie Olsson Pia Knuthsen Erik Huusfeldt Larsen Søren Husted |
| Affiliation: | 1. Department of Clinical Science and Education, Karolinska Institutet, S?dersjukhuset, 11883, Stockholm, Sweden 3. Department of Analytical Chemistry, Stockholm University, Svante Arrhenius v?g 16C, 10691, Stockholm, Sweden 2. Plant and Soil Science Section, Department of Plant and Environmental Sciences, Faculty of Science, University of Copenhagen, Thorvaldsensvej 40, 1871, Frederiksberg C, Denmark 4. Department of Oncology-Pathology, Science for Life Laboratory, Clinical Proteomics and Mass Spectrometry, Karolinska Institutet Science Park, PO Box 1031, 171 21, Solna, Sweden 5. Faculty of Science and Technology, Department of Food Science, ?rhus University, Kirstinebjergvej 10, 5792, ?rslev, Denmark 8. Plant and Soil Science Section, Department of Plant and Environmental Sciences, Faculty of Science, University of Copenhagen, H?jbakkeg?rds Alle 13, 2630, T?strup, Denmark 6. Department of Horticulture, Swedish Agricultural University, PO Box 103, 230 53, Alnarp, Sweden 7. National Food Institute, Technical University of Denmark, M?rkh?j Bygade 19, 2860, S?borg, Denmark |
| Abstract: | The influence of organic and conventional farming practices on the content of single nutrients in plants is disputed in the scientific literature. Here, large-scale untargeted LC-MS-based metabolomics was used to compare the composition of white cabbage from organic and conventional agriculture, measuring 1,600 compounds. Cabbage was sampled in 2 years from one conventional and two organic farming systems in a rigidly controlled long-term field trial in Denmark. Using Orthogonal Projection to Latent Structures–Discriminant Analysis (OPLS-DA), we found that the production system leaves a significant (p?=?0.013) imprint in the white cabbage metabolome that is retained between production years. We externally validated this finding by predicting the production system of samples from one year using a classification model built on samples from the other year, with a correct classification in 83 % of cases. Thus, it was concluded that the investigated conventional and organic management practices have a systematic impact on the metabolome of white cabbage. This emphasizes the potential of untargeted metabolomics for authenticity testing of organic plant products. |
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