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 articlepeer-review

Standard

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; Husted, Søren.

In: Analytical and Bioanalytical Chemistry, Vol. 406, No. 12, 2014, p. 2885-2897.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Mie, A, Laursen, KH, Aberg, KM, Forshed, J, Lindahl, A, Thorup-Kristensen, K, Olsson, M, Knuthsen, P, Larsen, EH & Husted, S 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, vol. 406, no. 12, pp. 2885-2897. https://doi.org/10.1007/s00216-014-7704-0

APA

Mie, A., Laursen, K. H., Aberg, K. M., Forshed, J., Lindahl, A., Thorup-Kristensen, K., Olsson, M., Knuthsen, P., Larsen, E. H., & Husted, S. (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), 2885-2897. https://doi.org/10.1007/s00216-014-7704-0

Vancouver

Mie A, Laursen KH, Aberg KM, Forshed J, Lindahl A, Thorup-Kristensen K et al. Discrimination of conventional and organic white cabbage from a long-term field trial study using untargeted LC-MS-based metabolomics. Analytical and Bioanalytical Chemistry. 2014;406(12):2885-2897. https://doi.org/10.1007/s00216-014-7704-0

Author

Mie, Axel ; Laursen, Kristian Holst ; Aberg, K. Magnus ; Forshed, Jenny ; Lindahl, Anna ; Thorup-Kristensen, Kristian ; Olsson, Marie ; Knuthsen, Pia ; Larsen, Erik Huusfeldt ; Husted, Søren. / Discrimination of conventional and organic white cabbage from a long-term field trial study using untargeted LC-MS-based metabolomics. In: Analytical and Bioanalytical Chemistry. 2014 ; Vol. 406, No. 12. pp. 2885-2897.

Bibtex

@article{c6df3fd605124e7bb7d5e2644d239136,
title = "Discrimination of conventional and organic white cabbage from a long-term field trial study using untargeted LC-MS-based metabolomics",
abstract = "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.",
keywords = "Conventional agriculture, Long-termfield trial, Metabolomics, Organic agriculture .White cabbage",
author = "Axel Mie and Laursen, {Kristian Holst} and Aberg, {K. Magnus} and Jenny Forshed and Anna Lindahl and Kristian Thorup-Kristensen and Marie Olsson and Pia Knuthsen and Larsen, {Erik Huusfeldt} and S{\o}ren Husted",
note = "OA",
year = "2014",
doi = "10.1007/s00216-014-7704-0",
language = "English",
volume = "406",
pages = "2885--2897",
journal = "Analytical and Bioanalytical Chemistry",
issn = "1618-2642",
publisher = "Springer",
number = "12",

}

RIS

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

VL - 406

SP - 2885

EP - 2897

JO - Analytical and Bioanalytical Chemistry

JF - Analytical and Bioanalytical Chemistry

SN - 1618-2642

IS - 12

ER -

ID: 129915850