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

Research output: Contribution to journalJournal articleResearchpeer-review

Axel Mie, Kristian Holst Laursen, K. Magnus Aberg, Jenny Forshed, Anna Lindahl, Kristian Thorup-Kristensen, Marie Olsson, Pia Knuthsen, Erik Huusfeldt Larsen, Søren Husted

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 LCMS- 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.

Original languageEnglish
JournalAnalytical and Bioanalytical Chemistry
Volume406
Issue number12
Pages (from-to)2885-2897
Number of pages13
ISSN1618-2642
DOIs
Publication statusPublished - 2014

Bibliographical note

OA

    Research areas

  • Conventional agriculture, Long-termfield trial, Metabolomics, Organic agriculture .White cabbage

Number of downloads are based on statistics from Google Scholar and www.ku.dk


No data available

ID: 129915850