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固态纳米孔传感器:通过高电压下的事件频率分析进行分析物定量

Solid-State Nanopore Sensors: Analyte Quantification by Event Frequency Analysis at High Voltages.

作者信息

Järlebark Julia, Liu Wei, Shaji Amina, Sha Jingjie, Dahlin Andreas

机构信息

Department of Chemistry and Chemical Engineering, Chalmers University of Technology, 41296 Gothenburg, Sweden.

Jiangsu Key Laboratory for Design and Manufacture of Micro-nano Biomedical Instruments & School of Mechanical Engineering, Southeast University, Nanjing 211189, China.

出版信息

Anal Chem. 2025 Mar 4;97(8):4359-4364. doi: 10.1021/acs.analchem.4c05037. Epub 2025 Feb 20.

Abstract

Solid state nanopores have emerged as an important electrical label-free single-molecule detection platform. While much effort has been spent on analyzing the current trace to determine size, shape and charge of the translocating species, a less studied aspect is the number of events and how this relates to analyte concentration. In this work we systematically investigate how the event frequency depends on voltage applied across the pore and show that this dependence can be utilized to determine target concentration. Importantly, this method does not require any calibration or any additional species added to the solution. Data analysis algorithms are introduced to accurately count events also for high voltages (up to 1 V). For double stranded DNA as model analyte, we find a linear relation between event frequency and voltage for pores 10 nm or more in diameter. For smaller pores, the majority of events are dockings rather than translocations and the linear relation is lost, in agreement with theory. Our model also predicts that the electrophoretic mobility of the species will influence event frequency, while diffusivity does not, which we confirm by using two different sizes of DNA. The analyte concentration determination is found to be remarkably accurate (10% error) when taking the average of multiple (∼4) experiments. If based on a single experiment, the predictive power is lower, but the method still provides a useful estimate (<30% error). This study should be useful as a guide when performing experiments at higher voltages and may serve as a method to extract analyte concentration in bioanalytical applications of nanopore sensors.

摘要

固态纳米孔已成为一种重要的无标记单分子电学检测平台。尽管人们在分析电流轨迹以确定转运物质的大小、形状和电荷方面投入了大量精力,但一个较少被研究的方面是事件数量以及它与分析物浓度的关系。在这项工作中,我们系统地研究了事件频率如何依赖于施加在纳米孔两端的电压,并表明这种依赖性可用于确定目标浓度。重要的是,该方法不需要任何校准,也不需要向溶液中添加任何其他物质。我们引入了数据分析算法,以准确计数高电压(高达1V)下的事件。对于作为模型分析物的双链DNA,我们发现直径为10nm或更大的纳米孔,其事件频率与电压之间存在线性关系。对于较小的纳米孔,大多数事件是对接而不是转运,线性关系消失,这与理论相符。我们的模型还预测,物质的电泳迁移率会影响事件频率,而扩散率则不会,我们通过使用两种不同大小的DNA证实了这一点。当对多个(约4个)实验的平均值进行分析时,发现分析物浓度的测定非常准确(误差为10%)。如果基于单个实验,预测能力较低,但该方法仍能提供有用的估计(误差<30%)。这项研究在进行高电压实验时应作为指导,并可作为在纳米孔传感器的生物分析应用中提取分析物浓度的一种方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eff5/11883732/fa3a49dbbbb5/ac4c05037_0001.jpg

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