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Ratiometric fluorescence sensor arrays based on quantum dots for detection of proteins

机译:基于量子点的比例式荧光传感器阵列,用于蛋白质检测

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摘要

Optical cross-reactive sensor arrays have recently been demonstrated as a powerful tool for high-throughput protein analysis. Nevertheless, applying this technology to protein detection is complicated by many external factors, such as the interfering substances, the background noise, and sample environmental changes in the biological matrix. Herein we demonstrate that a ratiometric fluorescence sensor array based on quantum dots can be employed to circumvent these limitations. Several intrinsic dual-emitting Mn-doped quantum dots capped with different organic functional groups were designed as sensing elements. Distinct and reproducible response patterns against the ratiometric sensor array were obtained from ten proteins in a buffer of different pH (pH 5.7, 7.4, and 8.3) and spiked into human urine. Linear discrimination analysis of the response patterns showed successful differentiation of the analytes at concentrations as low as 50 nM with high identification accuracy. Furthermore, this sensor system also enables the detection of these eight proteins (at 500 nM) in human urine without any treatment. The ratiometric fluorescence change from quantum dots for analysis of proteins can eliminate effectively the signal interference from the pH value change and the fluorescent background in human urine. The present study will open a new avenue to improve the discrimination ability of sensor arrays.
机译:光学交叉反应传感器阵列最近已被证明是用于高通量蛋白质分析的强大工具。然而,由于许多外部因素(例如干扰物质,背景噪声和生物基质中样品环境的变化),将该技术应用于蛋白质检测仍然很复杂。在这里我们证明基于量子点的比例荧光传感器阵列可以用来规避这些限制。设计了多个覆盖有不同有机官能团的内在双发射Mn掺杂量子点作为传感元件。在不同pH值(pH 5.7、7.4和8.3)的缓冲液中,从十种蛋白质中获得了针对比例传感器阵列的独特且可重复的响应模式,并将其掺入人尿中。响应模式的线性判别分析表明,在低至50 nM的浓度下,分析物就可以成功区分,并且具有很高的识别精度。此外,该传感器系统还无需检测即可检测人尿中的这八种蛋白质(500 nM)。来自量子点的比例荧光变化用于蛋白质分析,可以有效消除pH值变化和人尿中荧光背景引起的信号干扰。本研究将为提高传感器阵列的辨别能力开辟新途径。

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