Abstract
Culinary herbs and spices represent increasingly popular food products, especially in an environment of increased consciousness of food quality. Health-conscious consumers expect clean and reliable labels for food products. For spices this implies significant challenges considering complex and long supply chains, often with unknown sources or intermediates. A recent report by the EU Joint Research Centre identified oregano as one of the most vulnerable spices for adulterations. The analysis of herbs is complex, traditionally using visual inspection, and more recently genetic and chemical analysis. Here, metabarcoding by next generation sequencing (NGS) has been used to identify the nature of oregano products and possible adulterations. In parallel, metabolite extracts are generated and analysed on a 400 MHz Nuclear Magnetic Resonance (NMR) spectrometer. NMR metabolic profiles in conjunction with multivariate statistics was used to identify oregano species and to identify and quantify the level of adulteration with other plant products.
| Original language | English |
|---|---|
| Article number | 109497 |
| Journal | Food Control |
| Volume | 145 |
| ISSN | 0956-7135 |
| DOIs | |
| Publication status | Published - 03.2023 |
Funding
This work has been funded by the European Union from the European Regional Development Fund (EFRE) and the federal government and state of Schleswig-Holstein, Germany. Project number: LPW-E/1.2.3/1708; Application number: 095 20 011; Project: “LADR-NLA”. This work has been funded by the European Union from the European Regional Development Fund (EFRE) and the federal government and state of Schleswig-Holstein , Germany. Project number: LPW-E/1.2.3/1708 ; Application number: 095 20 011; Project: “LADR-NLA”.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Research Areas and Centers
- Academic Focus: Center for Brain, Behavior and Metabolism (CBBM)
DFG Research Classification Scheme
- 2.22-17 Endocrinology, Diabetology, Metabolism
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