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Discrimination of conventional and organic white cabbage from a long-term field trial study using untargeted LC-MS-based metabolomics

Mie, Axel; Laursen, Kristian Holst; Aberg, K. Magnus; Forshed, Jenny; Lindahl, Anna; Thorup-Kristensen, Kristian; Olsson, Marie; Knuthsen, Pia; Larsen, Erik Huusfeldt and Husted, Søren (2014) Discrimination of conventional and organic white cabbage from a long-term field trial study using untargeted LC-MS-based metabolomics. Analytical and bioanalytical chemistry, 406 (12), pp. 2885-2897.

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Summary

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.


EPrint Type:Journal paper
Subjects: Farming Systems
Food systems > Food security, food quality and human health
Crop husbandry > Crop health, quality, protection
Farming Systems > Farm nutrient management
Research affiliation: European Union > CORE Organic II > AuthenticFood
Denmark > AU - Aarhus University
Denmark > DTU - Technical University of Denmark
Denmark > KU - University of Copenhagen
Sweden > Swedish University of Agricultural Sciences (SLU)
Sweden > University of Stockholm
Sweden > Other organizations
ISSN:1618-2650
Related Links:http://dx.doi.org/10.1007/s00216-014-7704-0
Deposited By: Mie, Axel
ID Code:29054
Deposited On:08 Jul 2015 07:58
Last Modified:08 Jul 2015 12:08
Document Language:English
Status:Published
Refereed:Peer-reviewed and accepted

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