Evidence map›Paper›PMID 36551119›Full record

ArticleBiosensors2022

Procedural Data Processing for Single-Molecule Identification by Nanopore Sensors.

Yupeng Wang, Jianxuan Yuan, Haofeng Deng, Ziang Zhang, Qianli D Y Ma, Lingzhi Wu, Lixing Weng

Abstract read
In one paragraph

Article in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

2 citing papers in PubMed.

  1. Article
  2. Glycan Sequencing, A Brief Primer.Glycoscience & therapy · 2026
    Article
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

7 authors.

Yupeng WangSchool of Materials Science & Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.
Jianxuan YuanSchool of Geography and Biological Information, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.
Haofeng DengSchool of Geography and Biological Information, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.
Ziang ZhangSchool of Materials Science & Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.
Qianli D Y MaSchool of Geography and Biological Information, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.
Lingzhi WuSchool of Geography and Biological Information, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.ORCID 0000-0001-5656-3548
Lixing WengSchool of Geography and Biological Information, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.ORCID 0000-0002-7719-892X

Funding

Laboratory Project of Jiangsu colleges & universities GS2022YB36Leading-edge Technology Programme of Jiangsu Natural Science Foundation BK20212012National Key Research and Development Program of China 2017YFA0205301,2017YFA0205302Priority Academic Program Development of Jiangsu Higher Education Institutions PAPD, YX030004Project of Nanjing University of Posts and Telecommunications NY220222, 2020XZZ16, 2022XSG01
6 · The paper itself

Abstract

Nanopores are promising single-molecule sensing devices that have been successfully used for DNA sequencing, protein identification, as well as virus/particles detection. It is important to understand and characterize the current pulses collected by nanopore sensors, which imply the associated information of the analytes, including the size, structure, and surface charge. Therefore, a signal processing program, based on the MATLAB platform, was designed to characterize the ionic current signals of nanopore measurements. In a movable data window, the selected current segment was analyzed by the adaptive thresholds and corrected by multi-functions to reduce the noise obstruction of pulse signals. Accordingly, a set of single molecular events was identified, and the abundant information of current signals with the dwell time, amplitude, and current pulse area was exported for quantitative analysis. The program contributes to the efficient and fast processing of nanopore signals with a high signal-to-noise ratio, which promotes the development of the nanopore sensing devices in various fields of diagnosis systems and precision medicine.

Indexed as

NanoporesNanotechnologyProteinsSignal-To-Noise RatioProteinscurrent pulsenanoporesignal identificationsingle molecular event

Identifiers

PMID36551119
PMCPMC9775113

What OpenQuestion holds

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Registered trials

None linked

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.