Evidence map›Paper›PMID 26540377›Full record

ArticleNano letters2015

Unimolecular Submersible Nanomachines. Synthesis, Actuation, and Monitoring.

Víctor García-López, Pinn-Tsong Chiang, Fang Chen, Gedeng Ruan, Angel A Martí, Anatoly B Kolomeisky, Gufeng Wang, James M Tour

Abstract read
In one paragraph

Article in Nano letters, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. A thermodynamic perspective on enhanced enzyme diffusion.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Simulations of microscopic propulsion of soft elastic bodies.The European physical journal. E, Soft matter · 2018
    Article
  9. Review
  10. Article
  11. 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

8 authors.

Víctor García-López
Pinn-Tsong Chiang
Fang ChenDepartment of Chemistry, North Carolina State University , Raleigh, North Carolina 27695, United States.
Gedeng Ruan
Angel A Martí
Anatoly B Kolomeisky
Gufeng WangDepartment of Chemistry, North Carolina State University , Raleigh, North Carolina 27695, United States.
James M Tour

Funding

Molecular Mechanisms Governing Cooperating MotorsR01GM094489 · NIGMS · RICE UNIVERSITY · PI DIEHL, MICHAEL R · 2010 to 2014
$1.4M
NIGMS NIH HHS 1R01GM094489-01NIGMS NIH HHS R01 GM094489
6 · The paper itself

Abstract

Unimolecular submersible nanomachines (USNs) bearing light-driven motors and fluorophores are synthesized. NMR experiments demonstrate that the rotation of the motor is not quenched by the fluorophore and that the motor behaves in the same manner as the corresponding motor without attached fluorophores. No photo or thermal decomposition is observed. Through careful design of control molecules with no motor and with a slow motor, we found using single molecule fluorescence correlation spectroscopy that only the molecules with fast rotating speed (MHz range) show an enhancement in diffusion by 26% when the motor is fully activated by UV light. This suggests that the USN molecules give ∼9 nm steps upon each motor actuation. A non-unidirectional rotating motor also results in a smaller, 10%, increase in diffusion. This study gives new insight into the light actuation of motorized molecules in solution.

Indexed as

NanotechnologyFluorescent DyesSpectrometry, FluorescenceUltraviolet RaysFluorescent Dyesdiffusion coefficientfluorophoreslight-driven motorUnimolecular submersible nanomachines

Identifiers

PMID26540377
PMCPMC4676417

What OpenQuestion holds

Textmetadata
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.