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利用表面增强拉曼标记进行敏感碳水化合物检测。

Sensitive carbohydrate detection using surface enhanced Raman tagging.

机构信息

Department of Chemistry, Mississippi State University, Mississippi State, Mississippi 39762, United States.

出版信息

Anal Chem. 2010 Dec 15;82(24):10164-71. doi: 10.1021/ac102284x. Epub 2010 Nov 17.

Abstract

Glycomic analysis is an increasingly important field in biological and biomedical research as glycosylation is one of the most important protein post-translational modifications. We have developed a new technique to detect carbohydrates using surface enhanced Raman spectroscopy (SERS) by designing and applying a Rhodamine B derivative as the SERS tag. Using a reductive amination reaction, the Rhodamine-based tag (RT) was successfully conjugated to three model carbohydrates (glucose, lactose, and glucuronic acid). SERS detection limits obtained with a 633 nm HeNe laser were ∼1 nM in concentration for all the RT-carbohydrate conjugates and ∼10 fmol in total sample consumption. The dynamic range of the SERS method is about 4 orders of magnitude, spanning from 1 nM to 5 μM. Ratiometric SERS quantification using isotope-substituted SERS internal references allows comparative quantifications of carbohydrates labeled with RT and deuterium/hydrogen substituted RT tags, respectively. In addition to enhancing the SERS detection of the tagged carbohydrates, the Rhodamine tagging facilitates fluorescence and mass spectrometric detection of carbohydrates. Current fluorescence sensitivity of RT-carbohydrates is ∼3 nM in concentration while the mass spectrometry (MS) sensitivity is about 1 fmol, achieved with a linear ion trap electrospray ionization (ESI)-MS instrument. Potential applications that take advantage of the high SERS, fluorescence, and MS sensitivity of this SERS tagging strategy are discussed for practical glycomic analysis where carbohydrates may be quantified with a fluorescence and SERS technique and then identified with ESI-MS techniques.

摘要

糖组学分析是生物和生物医学研究中一个日益重要的领域,因为糖基化是最重要的蛋白质翻译后修饰之一。我们开发了一种使用表面增强拉曼光谱(SERS)检测碳水化合物的新技术,通过设计和应用罗丹明 B 衍生物作为 SERS 标记物。通过还原胺化反应,成功地将基于罗丹明的标记物(RT)与三种模型碳水化合物(葡萄糖、乳糖和葡萄糖醛酸)偶联。使用 633nmHeNe 激光进行 SERS 检测,所有 RT-碳水化合物缀合物的浓度检测限约为 1nM,总样品消耗的检测限约为 10fmol。SERS 方法的动态范围约为 4 个数量级,从 1nM 到 5μM。使用同位素取代的 SERS 内标进行比率 SERS 定量,可以分别对用 RT 和氘/氢取代的 RT 标记的碳水化合物进行比较定量。除了增强标记碳水化合物的 SERS 检测外,罗丹明标记还便于碳水化合物的荧光和质谱检测。目前 RT-碳水化合物的荧光灵敏度约为 3nM,而质谱(MS)灵敏度约为 1fmol,这是使用线性离子阱电喷雾电离(ESI)-MS 仪器实现的。讨论了利用这种 SERS 标记策略的高 SERS、荧光和 MS 灵敏度的潜在应用,这些应用可用于实际的糖组学分析,其中碳水化合物可以用荧光和 SERS 技术进行定量,然后用 ESI-MS 技术进行鉴定。

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Glycan reductive isotope labeling for quantitative glycomics.用于定量糖组学的聚糖还原同位素标记
Anal Biochem. 2009 Apr 15;387(2):162-70. doi: 10.1016/j.ab.2009.01.028. Epub 2009 Feb 10.

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