Next-Generation Nanopore Sensors Based on Conductive Pulse Sensing for Enhanced Detection of Nanoparticles.
Next-Generation Nanopore Sensors Based on Conductive Pulse Sensing for Enhanced Detection of Nanoparticles.
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下一代纳米孔传感器基于导电脉冲传感，用于增强纳米颗粒的检测。
DOI：
10.1002/smll.202305186
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发表时间：
2023-08
期刊：
影响因子：
13.3
通讯作者：
S. Confederat;Seungheon Lee;Der Vang;Dimitrios Soulias;Fabio Marcuccio;Timotheus I. Peace;M. Edwards;Pietro Strobbia;Devleena Samanta;C. Wälti;P. Actis
中科院分区：
文献类型：
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作者：
S. Confederat;Seungheon Lee;Der Vang;Dimitrios Soulias;Fabio Marcuccio;Timotheus I. Peace;M. Edwards;Pietro Strobbia;Devleena Samanta;C. Wälti;P. Actis
纳米孔传感已成功地用于表征生物分子与单分子分辨率的基础上的电阻脉冲传感方法。然而，其在纳米颗粒表征中的使用受到需要根据分析物的大小定制纳米孔孔径大小的限制，从而排除了对异质样品的分析。此外，纳米孔传感器通常需要使用高盐浓度来提高信噪比，这进一步限制了它们研究在高离子强度下不稳定的各种纳米颗粒的能力。在这里，提出了一种利用聚合物电解质系统来包括导电脉冲感测方法的纳米孔研究的新范例。建立了一个有限元模型来解释所观察到的导电脉冲信号，并将这些结果与实验进行了比较。该系统能够在低离子强度下对异质纳米颗粒混合物进行分析表征。此外，通过表征不同尺寸的金属纳米球、具有不同分支度的等离子体纳米星和具有不同寡核苷酸负载的基于蛋白质的球形核酸，证明了该方法的广泛适用性。该系统将补充纳米材料表征技术的工具箱，以实现工程设计各种纳米材料的实时优化工作流程。
Nanopore sensing has been successfully used to characterize biological molecules with single-molecule resolution based on the resistive pulse sensing approach. However, its use in nanoparticle characterization has been constrained by the need to tailor the nanopore aperture size to the size of the analyte, precluding the analysis of heterogeneous samples. Additionally, nanopore sensors often require the use of high salt concentrations to improve the signal-to-noise ratio, which further limits their ability to study a wide range of nanoparticles that are unstable at high ionic strength. Here, a new paradigm in nanopore research that takes advantage of a polymer electrolyte system to comprise a conductive pulse sensing approach is presented. A finite element model is developed to explain the conductive pulse signals observed and compare these results with experiments. This system enables the analytical characterization of heterogeneous nanoparticle mixtures at low ionic strength . Furthermore, the wide applicability of the method is demonstrated by characterizing metallic nanospheres of varied sizes, plasmonic nanostars with various degrees of branching, and protein-based spherical nucleic acids with different oligonucleotide loadings. This system will complement the toolbox of nanomaterials characterization techniques to enable real-time optimization workflow for engineering a wide range of nanomaterials.