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Colorimetric Sensitivity of Gold Nanoparticles: Minimizing Interparticular Repulsion as a General Approach

机译:金纳米粒子的比色灵敏度:最小化微粒间排斥作为一种通用方法

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GNPs (gold nanoparticles) as an eye-catching sensor rely on the high extinction coefficients and the shift of the surface plasmon band which signals the disperse-to-aggregate transformation. The selectivity of the sensors is dictated by the surface functionality whose density presumably has a positive correlation with the sensitivity toward the targeted analyte. To improve the analytical performance, most efforts in this research field focus on the design and synthesis of the sensing elements as well as on the increase in density on GNPs. Proposed here is an alternative rationale that the further improvement of the GNP sensitivity can be achieved by minimizing the electrostatic repulsion and hence the energy barrier for the recognition event to take place. Our model system begins with thioctic acid-stabilized GNPs which are subsequently modified with 15-crown-5 ether for the recognition toward K~(+). For a given coverage of 15-crown-5 ether, the limits of detection (LODs) can be improved by more than 3 orders of magnitude via adjusting the solution pH and ionic strength which we suggest a general guideline for the optimization of a new GNP sensing scheme. Following this guideline, satisfactory performance with LODs at the micromolar level can be systematically and efficiently found for GNPs with a range of 15-crown-5 ether coverage.
机译:GNP(金纳米颗粒)作为醒目的传感器,依赖于高消光系数和表面等离激元带的移动,该信号表示从分散到聚集的转变。传感器的选择性由表面功能决定,其密度可能与对目标分析物的灵敏度呈正相关。为了提高分析性能,该研究领域的大部分工作都集中在传感元件的设计和合成以及GNP密度的增加上。在此提出了另一种基本原理,即可以通过最大程度地减少静电排斥力以及因此发生识别事件的能垒来实现GNP灵敏度的进一步提高。我们的模型系统始于硫辛酸稳定的GNP,随后将其用15冠-5醚修饰以识别K〜(+)。对于给定的15冠-5醚覆盖范围,通过调节溶液的pH值和离子强度,可以将检测限(LOD)提高3个数量级以上,我们建议优化新GNP的一般指南感应方案。遵循该指导原则,可以系统且有效地发现LOD在微摩尔水平上具有令人满意的性能,适用于覆盖15冠-5醚的GNP。

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