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Feasibility study using surface-enhanced Raman spectroscopy for the quantitative detection of tyrosine and serine phosphorylation

机译:使用表面增强拉曼光谱法定量检测酪氨酸和丝氨酸磷酸化的可行性研究

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摘要

We investigate the feasibility of colloid-based surface enhanced Raman scattering (SERS) as a highly sensitive technique for detecting peptide phosphorylation at serine and tyrosine residues. Using the recently reported drop-coating deposition Raman method we validate our SERS spectra against normal Raman spectra that would otherwise be unobtainable at such low concentrations. Compared with existing techniques for quantifying peptide phosphorylation, such as high-performance liquid chromatography (HPLC), the short scanning and processing time associated with SERS makes it an attractive alternative for near-real-time measurement at sub micro-molar concentrations. Following pre-processing by Savistky–Golay second derivative (SGSD), the degree of phosphorylation of synthetic peptides is determined using multivariate spectral classification, interval partial least squares (iPLS). Furthermore, our results show that the technique is robust to interference from complex proteins and other phosphorylated compounds present at concentrations typically found in a screening assay.
机译:我们调查基于胶体的表面增强拉曼散射(SERS)作为检测丝氨酸和酪氨酸残基肽磷酸化的高灵敏度技术的可行性。使用最近报道的滴涂沉积拉曼方法,我们对照正常拉曼光谱验证了我们的SERS光谱,否则在如此低的浓度下是无法获得的。与现有的定量肽磷酸化的技术(例如高效液相色谱(HPLC))相比,与SERS关联的短扫描和处理时间使其成为亚微摩尔浓度下近实时测量的诱人替代品。在由Savistky-Golay二阶导数(SGSD)进行预处理之后,使用多元光谱分类,区间偏最小二乘(iPLS)确定合成肽的磷酸化程度。此外,我们的结果表明,该技术对复杂蛋白质和其他磷酸化化合物的干扰具有较强的干扰力,而蛋白质和其他磷酸化化合物的浓度通常在筛选分析中即可发现。

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