Evidence map›Paper›PMID 35420417›Full record

ArticleAccounts of chemical research2022

Single-Molecule Mechanochemical Sensing.

Changpeng Hu, Rabia Tahir, Hanbin Mao

Abstract read
In one paragraph

Article in Accounts of chemical research, 2022. 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
–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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Mechanochemical active ratchet.Scientific reports · 2023
    Article
  8. Article
  9. Ensemble Force Spectroscopy by Shear Forces.Journal of visualized experiments : JoVE · 2022
    Article
  10. 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

3 authors.

Changpeng HuDepartment of Chemistry & Biochemistry, Kent State University, Kent, Ohio 44242, United States.ORCID 0000-0002-3033-4023
Rabia TahirDepartment of Chemistry & Biochemistry, Kent State University, Kent, Ohio 44242, United States.
Hanbin MaoDepartment of Chemistry & Biochemistry, Kent State University, Kent, Ohio 44242, United States.ORCID 0000-0002-6720-9429

Funding

Specific Recognition of G-quadruplexesR01CA236350 · NCI · KENT STATE UNIVERSITY · PI MAO, HANBIN · 2018 to 2022
$1.6M
NCI NIH HHS R01 CA236350
6 · The paper itself

Abstract

Single-molecule mechanochemical sensing (SMMS) is a novel biosensing technique using mechanical force as a signal transduction mechanism. In the mechanochemical sensing, the chemical binding of an analyte molecule to a sensing template is converted to mechanical signals, such as tensile force, of the template. Since mechanical force can be conveniently monitored by single-molecule tools, such as optical tweezers, magnetic tweezers, or Atomic Force Microscopy, mechanochemical sensing is often carried out at the single molecule level. In traditional format of ensemble sensing, sensitivity can be achieved via chemical or electrical amplifications, which are materials intensive and time-consuming. To address these problems, in 2011, we used the principle of mechanochemical coupling in a single molecular template to detect single nucleotide polymorphism (SNP) in DNA fragments. The single-molecule sensitivity in such SMMS strategy allows to removing complex amplification steps, drastically conserving materials and increasing temporal resolution in the sensing. By placing many probing units throughout a single-molecule sensing template, SMMS can have orders of magnitude better efficiency in the materials usage (i.e., high

Indexed as

Biosensing TechniquesDNAMechanical PhenomenaMicroscopy, Atomic ForceOptical TweezersDNA

Identifiers

PMID35420417
PMCPMC9157781

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.