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首页> 外文期刊>Journal of Agricultural and Food Chemistry >Detection of Honey Adulteration by Sugar Syrups Using One-Dimensional and Two-Dimensional High-Resolution Nuclear Magnetic Resonance
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Detection of Honey Adulteration by Sugar Syrups Using One-Dimensional and Two-Dimensional High-Resolution Nuclear Magnetic Resonance

机译:一维和二维高分辨率核磁共振技术通过糖浆检测蜂蜜掺假

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The importance of honey adulteration detection has recently increased owing to the limited production levels in recent years and the relative high price of honey; therefore, this illegal practice has become more and more attractive to producers. Hence, the need has arisen for more effective analytical methods aiming at detecting honey adulteration. The present research presents an effective method to detect adulteration in honey falsified by intentional addition of different concentrations of commercial sugar syrups, using one-dimensional (1D) and two-dimensional (2D) nuclear magnetic resonance (NMR) coupled with multivariate statistical analysis. Sixty-three authentic and 63 adulterated honey samples were analyzed. To prepare adulterated honeys, seven different sugar syrups normally used for nutrition of bees were used. The best discriminant model was obtained by 1D spectra, and leave-one-out cross-validation showed a predictive capacity of 95.2%. 2D NMR also furnished acceptable results (cross-validation correct classification 90.5%), although the ~1H NMR sequence is preferable because it is the simplest and fastest NMR technique.
机译:由于近年来产量有限以及蜂蜜价格相对较高,蜂蜜掺假检测的重要性最近有所提高。因此,这种非法行为对生产者越来越有吸引力。因此,出现了需要更有效的旨在检测蜂蜜掺假的分析方法。本研究提出了一种有效的方法,可通过一维(1D)和二维(2D)核磁共振(NMR)结合多元统计分析来检测故意添加不同浓度的商业糖浆而伪造的蜂蜜中的掺假。分析了63个真实的蜂蜜样品和63个掺假的蜂蜜样品。为了制备掺假蜂蜜,使用了七种通常用于蜜蜂营养的糖浆。一维光谱获得最佳判别模型,留一法交叉验证的预测能力为95.2%。 2D NMR也提供了可接受的结果(交叉验证正确分类为90.5%),尽管〜1H NMR序列是优选的,因为它是最简单,最快的NMR技术。

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