Evidence map›Paper›PMID 37549255›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Nanomechanoelectrical approach to highly sensitive and specific label-free DNA detection.

Xiaoyu Zhang, Xiao Fan, Huilu Bao, Jinglei Ping

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. 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. Engineering two-dimensional electronic biosensors.Nature reviews electrical engineering · 2026
    Article
  2. Review
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

4 authors.

Xiaoyu ZhangDepartment of Mechanical and Industrial Engineering, University of Massachusetts Amherst, Amherst, MA 01003.ORCID 0000-0002-7052-6927
Xiao FanDepartment of Mechanical and Industrial Engineering, University of Massachusetts Amherst, Amherst, MA 01003.ORCID 0000-0002-2620-3143
Huilu BaoDepartment of Mechanical and Industrial Engineering, University of Massachusetts Amherst, Amherst, MA 01003.
Jinglei PingDepartment of Mechanical and Industrial Engineering, University of Massachusetts Amherst, Amherst, MA 01003.

Funding

Highly Integrated Nucleic-Acid Analysis Using Graphene BioelectronicsR21EB032063 · NIBIB · UNIVERSITY OF MASSACHUSETTS AMHERST · PI PING, JINGLEI · 2022 to 2024
$588k
NIBIB NIH HHS R21 EB032063
6 · The paper itself

Abstract

Electronic detection of DNA oligomers offers the promise of rapid, miniaturized DNA analysis across various biotechnological applications. However, known all-electrical methods, which solely rely on measuring electrical signals in transducers during probe-target DNA hybridization, are prone to nonspecific electrostatic and electrochemical interactions, subsequently limiting their specificity and detection limit. Here, we demonstrate a nanomechanoelectrical approach that delivers ultra-robust specificity and a 100-fold improvement in detection limit. We drive nanostructural DNA strands tethered to a graphene transistor to oscillate in an alternating electric field and show that the transistor-current spectra are characteristic and indicative of DNA hybridization. We find that the inherent difference in pliability between unpaired and paired DNA strands leads to the spectral characteristics with minimal influence from nonspecific electrostatic and electrochemical interactions, resulting in high selectivity and sensitivity. Our results highlight the potential of high-performance DNA analysis based on miniaturized all-electronic settings.

Indexed as

Biosensing TechniquesGraphiteDNADNA ProbesHybridization, GeneticNucleic Acid HybridizationDNADNA ProbesGraphiteDNAgraphenemechanoelectricalsensor

Identifiers

PMID37549255
PMCPMC10433451

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.