TY - JOUR
T1 - Discrimination of conventional and organic white cabbage from a long-term field trial study using untargeted LC-MS-based metabolomics
AU - Mie, Axel
AU - Laursen, Kristian Holst
AU - Aberg, K. Magnus
AU - Forshed, Jenny
AU - Lindahl, Anna
AU - Thorup-Kristensen, Kristian
AU - Olsson, Marie
AU - Knuthsen, Pia
AU - Larsen, Erik Huusfeldt
AU - Husted, Søren
N1 - OA
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
KW - Conventional agriculture
KW - Long-termfield trial
KW - Metabolomics
KW - Organic agriculture .White cabbage
U2 - 10.1007/s00216-014-7704-0
DO - 10.1007/s00216-014-7704-0
M3 - Journal article
AN - SCOPUS:84904380797
SN - 1618-2642
VL - 406
SP - 2885
EP - 2897
JO - Analytical and Bioanalytical Chemistry
JF - Analytical and Bioanalytical Chemistry
IS - 12
ER -