Evidence map›Paper›PMID 30794379›Full record

ArticleACS nano2019

Manipulation and Deposition of Complex, Functional Block Copolymer Nanostructures Using Optical Tweezers.

Oliver E C Gould, Stuart J Box, Charlotte E Boott, Andrew D Ward, Mitchell A Winnik, Mervyn J Miles, Ian Manners

Abstract read
In one paragraph

Article in ACS nano, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
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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.

Oliver E C GouldSchool of Chemistry , University of Bristol , Bristol BS8 1TS , United Kingdom.ORCID http://orcid.org/0000-0002-8034-5724
Stuart J BoxSchool of Physics , University of Bristol , Bristol BS8 1TL , United Kingdom.
Charlotte E BoottSchool of Chemistry , University of Bristol , Bristol BS8 1TS , United Kingdom.
Andrew D WardCentral Laser Facility , Rutherford Appleton Laboratories , Oxford OX11 0QX , United Kingdom.
Mitchell A WinnikDepartment of Chemistry , University of Toronto , Toronto , Ontario M5S 3H6 , Canada.ORCID http://orcid.org/0000-0002-2673-2141
Mervyn J MilesSchool of Physics , University of Bristol , Bristol BS8 1TL , United Kingdom.
Ian MannersSchool of Chemistry , University of Bristol , Bristol BS8 1TS , United Kingdom.ORCID http://orcid.org/0000-0002-3794-967X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Block copolymer self-assembly has enabled the creation of a range of solution-phase nanostructures with applications from optoelectronics and biomedicine to catalysis. However, to incorporate such materials into devices a method that facilitates their precise manipulation and deposition is desirable. Herein we describe how optical tweezers can be used to trap, manipulate, and pattern individual cylindrical micelles and larger hybrid micellar materials. Through the combination of TIRF imaging and optical trapping we can precisely control the three-dimensional motion of individual cylindrical block copolymer micelles in solution, enabling the creation of customizable arrays. We also demonstrate that dynamic holographic assembly enables the creation of ordered customizable arrays of complex hybrid block copolymer structures. By creating a program which automatically identifies, traps, and then deposits multiple assemblies simultaneously we have been able to dramatically speed up this normally slow process, enabling the fabrication of arrays of hybrid structures containing hundreds of assemblies in minutes rather than hours.

Indexed as

block copolymersdirected assemblynanofibersoptical trappingself-assembly

Identifiers

PMID30794379
PMCPMC6482436

What OpenQuestion holds

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Registered trials

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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.