Evidence map›Paper›PMID 36133222›Full record

ArticleNanoscale advances2020

Universal DNA detection realized by peptide based carbon nanotube biosensors.

Wenjun Li, Yubo Gao, Jiaona Zhang, Xiaofang Wang, Feng Yin, Zigang Li, Min Zhang

Open access · goldAbstract read
In one paragraph

Article in Nanoscale advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 17% of its field
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

10 citing papers in PubMed, 41 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Wenjun LiState Key Laboratory of Chemical Oncogenomics, School of Chemical Biology and Biotechnology, Peking University Shenzhen Graduate School Shenzhen 518055 P. R. China yinfeng@pkusz.edu.cn lizg@pkusz.edu.cn.
Yubo GaoSchool of Electronic and Computer Engineering, Peking University Shenzhen Graduate School Shenzhen 518055 China zhangm@ece.pku.edu.cn.
Jiaona ZhangSchool of Electronic and Computer Engineering, Peking University Shenzhen Graduate School Shenzhen 518055 China zhangm@ece.pku.edu.cn.
Xiaofang WangSchool of Electronic and Computer Engineering, Peking University Shenzhen Graduate School Shenzhen 518055 China zhangm@ece.pku.edu.cn.
Feng YinState Key Laboratory of Chemical Oncogenomics, School of Chemical Biology and Biotechnology, Peking University Shenzhen Graduate School Shenzhen 518055 P. R. China yinfeng@pkusz.edu.cn lizg@pkusz.edu.cn.ORCID https://orcid.org/0000-0001-7407-9047
Zigang LiState Key Laboratory of Chemical Oncogenomics, School of Chemical Biology and Biotechnology, Peking University Shenzhen Graduate School Shenzhen 518055 P. R. China yinfeng@pkusz.edu.cn lizg@pkusz.edu.cn.ORCID https://orcid.org/0000-0002-4649-1592
Min ZhangSchool of Electronic and Computer Engineering, Peking University Shenzhen Graduate School Shenzhen 518055 China zhangm@ece.pku.edu.cn.ORCID https://orcid.org/0000-0002-2225-8024
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although DNA recognition has been achieved using numerous biosensors with various sensing probes, the utilization of bio-interaction between DNA and biomolecules has seldom been reported in universal DNA detection. Peptides as natural molecules have the unique ability to bind to universal DNA and excellent selectivity for DNA after being functionalized with specific groups. In this work, we report a peptide based carbon nanotube (CNT) thin-film-transistor (TFT) biosensor, which can achieve sensitive sequence-independent DNA detection. In the presence of DNA, a significant increase of ΔIon could be observed within 5 minutes, which was considered to be due to the electrostatic adsorption between the DNA and peptide of opposite zeta potential. With the gradual increase of the concentration of DNA, the ΔIon signals agree with the Hill-Langmuir model (

Identifiers

PMID36133222
PMCPMC9417745
OpenAlexW2991362968

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.