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首页> 外文期刊>Journal of mass spectrometry: JMS >Geographical traceability of wheat and its products using multielement light stable isotopes coupled with chemometrics
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Geographical traceability of wheat and its products using multielement light stable isotopes coupled with chemometrics

机译：小麦的地理可追溯性及其产品采用多元光稳定同位素与化学计量学相结合

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摘要

The present study was aimed to investigate the variation of stable isotopic ratios of carbon, nitrogen, hydrogen, and oxygen in wheat kernel along with different processed fractions from three geographical origins across 5 years using isotope ratio mass spectrometry (IRMS). Multiway ANOVA revealed significant differences among region, harvest year, processing, and their interactions for all isotopes. The region contributed the major variability in the delta C-13 parts per thousand, delta H-2 parts per thousand, delta N-15 parts per thousand, and delta O-18 parts per thousand values of wheat. Variation of delta C-13 parts per thousand, delta N-15 parts per thousand, and delta O-18 parts per thousand between wheat whole kernel and its products (break, reduction, noodles, and cooked noodles) were 0.7 parts per thousand, and no significant difference was observed, suggesting the reliability of these isotope fingerprints in geographical traceability of wheat-processed fractions and foods. A significant influence of wheat processing was observed for delta H-2 values. By applying linear discriminant analysis (LDA) to the whole dataset, the generated model correctly classified over 91% of the samples according to the geographical origin. The application of these parameters will assist in the development of an analytical control procedure that can be utilized to control the mislabeling regarding geographical origin of wheat kernel and its products.
机译：本研究旨在探讨小麦核中稳定同位素，氮，氢气和氧的稳定同位素比例的变化以及使用同位素比质谱法（IRMS）的三个地理起源的不同加工级分。多道Anova在所有同位素的地区，收集年份，加工和它们的相互作用之间揭示了显着差异。该地区促进了Delta C-13份每千次，三角洲H-2零件，三角洲N-15份每千份，达到O-18零件千分之一的小麦数量的主要变异性。 Delta C-13份的变化每千次，Delta n-15份每千份，以及小麦全内核和其产品（休息，减少，面条和熟面之间的δ0-18份）的δ0-18份。观察到千，并且没有显着差异，表明这些同位素指纹的可靠性在小麦加工分数和食物的地理可追溯性中。观察到δH-2值的小麦加工的显着影响。通过将线性判别分析（LDA）应用于整个数据集，因此产生的模型根据地理来源正确分类了超过91％的样品。这些参数的应用将有助于开发分析控制程序，该程序可用于控制关于小麦内核和产品的地理来源的错误标签。

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