Evidence map›Paper›PMID 39977282›Full record

ArticleAnalytical chemistry2025

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

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

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Article in Analytical chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Julia JärlebarkDepartment of Chemistry and Chemical Engineering, Chalmers University of Technology, 41296 Gothenburg, Sweden.
Wei LiuJiangsu Key Laboratory for Design and Manufacture of Micro-nano Biomedical Instruments & School of Mechanical Engineering, Southeast University, Nanjing 211189, China.
Amina ShajiDepartment of Chemistry and Chemical Engineering, Chalmers University of Technology, 41296 Gothenburg, Sweden.
Jingjie ShaJiangsu Key Laboratory for Design and Manufacture of Micro-nano Biomedical Instruments & School of Mechanical Engineering, Southeast University, Nanjing 211189, China.
Andreas DahlinDepartment of Chemistry and Chemical Engineering, Chalmers University of Technology, 41296 Gothenburg, Sweden.ORCID 0000-0003-1545-5860

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Identifiers

PMID39977282
PMCPMC11883732

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.