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

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 -