MAS-DNP enables NMR studies of insect wings

IF 1.8 3区 化学 Q4 CHEMISTRY, PHYSICAL Solid state nuclear magnetic resonance Pub Date : 2022-12-01 DOI:10.1016/j.ssnmr.2022.101838
Frédéric Mentink-Vigier , Samuel Eddy , Terry Gullion
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引用次数: 1

Abstract

NMR is a valuable tool for studying insects. Solid-state NMR has been used to obtain the chemical composition and gain insight into the sclerotization process of exoskeletons. There is typically little difficulty in obtaining sufficient sample quantity for exoskeletons. However, obtaining enough sample of other insect components for solid-state NMR experiments can be problematic while isotopically enriching them is near impossible. This is especially the case for insect wing membranes which is of interest to us. Issues with obtaining sufficient sample are the thickness of wing membranes is on the order of microns, each membrane region is surrounded by veins and occupies a small area, and the membranes are separated from the wing by physical dissection. Accordingly, NMR signal enhancement methods are needed. MAS-DNP has a track record of providing significant signal enhancements for a wide variety of materials. Here we demonstrate that MAS-DNP is useful for providing high quality one-dimensional and two-dimensional solid-state NMR spectra on cicada wing membrane at natural isotopic abundance.

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MAS-DNP使昆虫翅膀的核磁共振研究
核磁共振是研究昆虫的重要工具。固态核磁共振已被用于获得化学成分和深入了解外骨骼的硬化过程。一般来说,获得足够数量的外骨骼样本没有什么困难。然而,为固体核磁共振实验获得足够的其他昆虫成分样本可能会有问题,而同位素富集它们几乎是不可能的。这对我们感兴趣的昆虫翅膀膜来说尤其如此。获得足够样品的问题是,机翼膜的厚度在微米量级,每个膜区域被静脉包围并占据很小的面积,并且膜通过物理解剖与机翼分离。因此,需要核磁共振信号增强方法。MAS-DNP具有为各种材料提供显著信号增强的记录。本研究表明,MAS-DNP可用于在自然同位素丰度下提供高质量的蝉翅膜一维和二维固体核磁共振光谱。
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来源期刊
CiteScore
5.30
自引率
9.40%
发文量
42
审稿时长
72 days
期刊介绍: The journal Solid State Nuclear Magnetic Resonance publishes original manuscripts of high scientific quality dealing with all experimental and theoretical aspects of solid state NMR. This includes advances in instrumentation, development of new experimental techniques and methodology, new theoretical insights, new data processing and simulation methods, and original applications of established or novel methods to scientific problems.
期刊最新文献
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