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Sensitive Carbohydrate Detection Using Surface Enhanced Raman Tagging

机译:使用表面增强拉曼标记的灵敏的碳水化合物检测

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摘要

Glycomic analysis is an increasingly important field innbiological and biomedical research as glycosylation is onenof the most important protein post-translational modifications.nWe have developed a new technique to detectncarbohydrates using surface enhanced Raman spectroscopyn(SERS) by designing and applying a Rhodamine Bnderivative as the SERS tag. Using a reductive aminationnreaction, the Rhodamine-based tag (RT) was successfullynconjugated to three model carbohydrates (glucose, lactose,nand glucuronic acid). SERS detection limits obtainednwith a 633 nm HeNe laser were ∼1 nM in concentrationnfor all the RT-carbohydrate conjugates and ∼10 fmol inntotal sample consumption. The dynamic range of the SERSnmethod is about 4 orders of magnitude, spanning from 1nnM to 5 μM. Ratiometric SERS quantification usingnisotope-substituted SERS internal references allows comparativenquantifications of carbohydrates labeled with RTnand deuterium/hydrogen substituted RT tags, respectively.nIn addition to enhancing the SERS detection of thentagged carbohydrates, the Rhodamine tagging facilitatesnfluorescence and mass spectrometric detection of carbohydrates.nCurrent fluorescence sensitivity of RT-carbohydratesnis ∼3 nM in concentration while the massnspectrometry (MS) sensitivity is about 1 fmol, achievednwith a linear ion trap electrospray ionization (ESI)-MSninstrument. Potential applications that take advantage ofnthe high SERS, fluorescence, and MS sensitivity of thisnSERS tagging strategy are discussed for practical glycomicnanalysis where carbohydrates may be quantified with anfluorescence and SERS technique and then identified withnESI-MS techniques.
机译:由于糖基化是最重要的蛋白质翻译后修饰,糖基分析已成为生物学和生物医学研究中日益重要的领域。n我们通过设计和应用罗丹明Bn衍生物作为SERS,开发了一种利用表面增强拉曼光谱法(SERS)检测碳水化合物的新技术。标签。使用还原性胺化反应,基于罗丹明的标签(RT)成功地与三种模型碳水化合物(葡萄糖,乳糖,天然葡萄糖醛酸)结合。 633 nm HeNe激光获得的SERS检测限为所有RT-碳水化合物共轭物的浓度n约为1 nM,样品总消耗量约为10 fmol。 SERSn方法的动态范围约为4个数量级,范围从1nnM到5μM。使用同位素取代的SERS内部参比进行比例SERS定量分析,可以分别对RTn和氘/氢取代的RT标签标记的碳水化合物进行定量。n除了增强对带标签的碳水化合物的SERS检测之外,若丹明标签还促进了碳水化合物的荧光和质谱检测。n当前的荧光敏感性线性离子阱电喷雾电离(ESI)-MS仪器可实现RT碳水化合物浓度约3 nM,而质谱(MS)灵敏度约为1 fmol。讨论了利用此nSERS标记策略的高SERS,荧光和MS敏感性的潜在应用,用于实际糖分分析,其中可使用荧光和SERS技术对碳水化合物进行定量,然后使用nESI-MS技术进行鉴定。

著录项

  • 来源
    《Analytical Chemistry》 |2010年第24期|p.10164-10171|共8页
  • 作者单位

    Department of Chemistry, Mississippi State University, Mississippi State, Mississippi 39762, United States, andLaboratory of Experimental Gerontology and Proteomics and Analytical Biochemistry Unit, National Institute on Aging,NIH, Baltimore, Maryland 21224, United States;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
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  • 入库时间 2022-08-17 13:36:53

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