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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 in the original language of the document

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 > 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 Sweden
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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