Evidence map›Paper›PMID 30417030›Full record

ArticlePhysical review applied2016

Simultaneous Characterization of Nanoparticle Size and Particle-Surface Interactions with Three-Dimensional Nanophotonic Force Microscopy.

Dakota O'Dell, Perry Schein, David Erickson

Abstract read
In one paragraph

Article in Physical review applied, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Nanoparticles: Taking a Unique Position in Medicine.Nanomaterials (Basel, Switzerland) · 2023
    Review
  3. Article
  4. Article
  5. Article
  6. Nanophotonic trapping: precise manipulation and measurement of biomolecular arrays.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2018
    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

3 authors.

Dakota O'DellSchool of Applied and Engineering Physics, Cornell University, Ithaca, New York 14853, USA.
Perry ScheinSibley School of Mechanical and Aerospace Engineering, Cornell Unversity, Ithaca, New York 14853, USA.
David EricksonSibley School of Mechanical and Aerospace Engineering, Cornell Unversity, Ithaca, New York 14853, USA.

Funding

Single Molecule Optically Resonant NanoTweezers for the study of Intracellular MeR01GM106420 · NIGMS · CORNELL UNIVERSITY · PI ERICKSON, DAVID CARL · 2013 to 2016
$1.1M
NIGMS NIH HHS R01 GM106420
6 · The paper itself

Abstract

The behavior of a nanoparticle in solution depends strongly on the particle's physical and chemical characteristics, most notably the particle size and the surface properties. Accurately characterizing these properties is critical for quality control in a wide variety of industries. To understand a complex and polydisperse nanoparticle suspension, however, ensemble averaging is not sufficient, and there is a great need for direct measurements of size and surface properties at the individual nanoparticle level. In this work, we present an analysis technique for simultaneous characterization of particle-surface interactions and size using near-field light scattering and verify it using Brownian-dynamics simulations. Using a nanophotonic waveguide, single particles can be stably held near the waveguide's surface by strongly localized optical forces. By tracking the dynamic 3D motion of the particle under the influence of these forces using an optical microscope, it is possible to extract the particle-surface interaction forces, as well as to estimate the size and refractive index of the nanoparticle. Because of the strong light-scattering signal, this method is viable for high-throughput characterization of particles as small as 100 nm in only a few seconds each.

Identifiers

PMID30417030
PMCPMC6221462

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.