Evidence map›Paper›PMID 26924858›Full record

ArticleSurface science2016

Direct Characterization of Polymer Encapsulated CdSe/CdS/ZnS Quantum Dots.

Gilad Zorn, Shivang R Dave, Tobias Weidner, Xiaohu Gao, David G Castner

Abstract read
In one paragraph

Article in Surface science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Composition-Tunable Optical Properties of ZnNanoscale research letters · 2017
    Article
  4. Article
  5. 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

5 authors.

Gilad ZornNational ESCA and Surface Analysis Center for Biomedical Problems, The Department of Chemical Engineering.
Shivang R DaveNational ESCA and Surface Analysis Center for Biomedical Problems, The Department of Bioengineering, University of Washington, Seattle, WA 98195-1653.
Tobias WeidnerNational ESCA and Surface Analysis Center for Biomedical Problems, The Department of Bioengineering, University of Washington, Seattle, WA 98195-1653.
Xiaohu GaoNational ESCA and Surface Analysis Center for Biomedical Problems, The Department of Bioengineering, University of Washington, Seattle, WA 98195-1653.
David G CastnerNational ESCA and Surface Analysis Center for Biomedical Problems, The Department of Chemical Engineering; National ESCA and Surface Analysis Center for Biomedical Problems, The Department of Bioengineering, University of Washington, Seattle, WA 98195-1653.

Funding

Surface Analysis Facility for Biomedical ProblemsP41EB002027 · NIBIB · UNIVERSITY OF WASHINGTON · PI CASTNER, DAVID G, GAMBLE, LARA · 2003 to 2019
$17.6M
NIBIB NIH HHS P41 EB002027
6 · The paper itself

Abstract

Surface engineering advances of semiconductor quantum dots (QDs) have enabled their application to molecular labeling, disease diagnostics and tumor imaging. For biological applications, hydrophobic core/shell QDs are transferred into aqueous solutions through the incorporation of water-solubility imparting moieties, typically achieved via direct exchange of the native surface passivating ligands or indirectly through the adsorption of polymers. Although polymeric encapsulation has gained wide acceptance, there are few reports addressing the characterization of the adsorbed polymers and existing theoretical analyses are typically based on simple geometric models. In this work, we experimentally characterize and quantify water-soluble QDs prepared by adsorption of amphiphilic poly(maleic anhydride-

Indexed as

Quantum DotsSum Frequency GenerationX-ray Photoelectron Spectroscopy

Identifiers

PMID26924858
PMCPMC4764091

What OpenQuestion holds

Textmetadata
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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.