Bindereif Stefan G, Rüll Felix, Kolb Peter, Köberle Lucas, Willms Holger, Steidele Simon, Schwarzinger Stephan, Gebauer Gerhard
BayCEER-Laboratory of Isotope Biogeochemistry, University of Bayreuth, Universitätsstraße 30, 95447 Bayreuth, Germany.
NBNC-North Bavarian NMR Centre, University of Bayreuth, Universitätsstraße 30, 95447 Bayreuth, Germany.
Foods. 2021 Jul 8;10(7):1592. doi: 10.3390/foods10071592.
Most recently in 2018 and 2019, large parts of Europe were affected by periods of massive drought. Resulting losses in cereal yield pose a major risk to the global supply of barley, as more than 60% of global production is based in Europe. Despite the arising price fluctuations on the cereal market, authenticity of the crop must be ensured, which includes correct declaration of harvest years. Here, we show a novel approach that allows such differentiation for spring barley samples, which takes advantage of the chemical changes caused by the extreme drought. Samples from 2018 were successfully differentiated from those of 2017 by analysis of changes in near-infrared spectra, enrichment in the isotope C, and strong accumulation of the plant-physiological marker betaine. We demonstrate that through consideration of multiple modern analysis techniques, not only can fraudulent labelling be prevented, but indispensable knowledge on the drought tolerance of crops can be obtained.
最近在2018年和2019年,欧洲大部分地区遭受了大规模干旱。谷物产量的损失给全球大麦供应带来了重大风险,因为全球超过60%的大麦产量来自欧洲。尽管谷物市场价格出现波动,但必须确保作物的真实性,这包括正确申报收获年份。在此,我们展示了一种新方法,该方法利用极端干旱引起的化学变化,对春大麦样本进行这种区分。通过分析近红外光谱的变化、同位素C的富集以及植物生理标记物甜菜碱的强烈积累,成功区分了2018年的样本与2017年的样本。我们证明,通过综合考虑多种现代分析技术,不仅可以防止欺诈性标签,还可以获得关于作物耐旱性的不可或缺的知识。