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Metabolite profiling on wheat grain to enable a distinction of samples from organic and conventional farming systems

Authors: Bonte, Anja; Neuweger, Heiko; Goesmann, Alexander; Thonar, Cécile; Mäder, Paul; Langenkämper, Georg; Niehaus, Karsten;

Metabolite profiling on wheat grain to enable a distinction of samples from organic and conventional farming systems

Abstract

AbstractBACKGROUNDIdentification of biomarkers capable of distinguishing organic and conventional products would be highly welcome to improve the strength of food quality assurance. Metabolite profiling was used for biomarker search in organic and conventional wheat grain (Triticum aestivum L.) of 11 different old and new bread wheat cultivars grown in the DOK system comparison trial. Metabolites were extracted using methanol and analysed by gas chromatography–mass spectrometry.RESULTSAltogether 48 metabolites and 245 non‐identified metabolites (TAGs) were detected in the cultivar Runal. Principal component analysis showed a sample clustering according to farming systems and significant differences in peak areas between the farming systems for 10 Runal metabolites. Results obtained from all 11 cultivars indicated a greater influence of the cultivar than the farming system on metabolite concentrations. Nevertheless, a t‐test on data of all cultivars still detected 5 metabolites and 11 TAGs with significant differences between the farming systems.CONCLUSIONBased on individual cultivars, metabolite profiling showed promising results for the categorization of organic and conventional wheat. Further investigations are necessary with wheat from more growing seasons and locations before definite conclusions can be drawn concerning the feasibility to evolve a combined set of biomarkers for organically grown wheat using metabolite profiles. © 2014 Society of Chemical Industry

Keywords

Flour, Organic Agriculture/standards, Biomarkers/metabolism, Biomarkers/analysis, Food Inspection/methods, Food, Organic/standards, Triticum, Seeds/metabolism, Organic Agriculture, Principal Component Analysis, Nutrition and Dietetics, Bread, Sciences bio-médicales et agricoles, Triticum/chemistry, Agriculture & agronomy, Life sciences, winter wheat, Solvents/chemistry, Seeds, Sciences du vivant, Metabolome, biomarker, Biological Markers, Food, Organic, GC-MS, Triticum/growth & development, Flour/standards, Switzerland, Sciences exactes et naturelles, Biotechnology, Seeds/chemistry, Seeds/growth & development, Triticum/metabolism, Gas Chromatography-Mass Spectrometry, Flour/analysis, Species Specificity, organic farming, Agriculture & agronomie, Food Quality, Crosses, Genetic, Methanol/chemistry, Plant Extracts/chemistry, Plant Extracts, Methanol, Food Inspection, Solvents, metabolite profiling, Food, Organic/analysis, Agronomy and Crop Science, Biomarkers, Food Science

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
31
Top 10%
Top 10%
Top 10%
Green