Evidence map›Paper›PMID 36147310›Full record

ArticleMRS advances2022

Development of Photoluminescent ZnO Nanoparticles for Biological Tracking.

Leisha Martin, Jian Sheng, Nattamai Bhuvanesh, Maryam Jalali-Mousavi, Wei Xu

Open access · greenAbstract read
In one paragraph

Article in MRS advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 98% of its field
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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 2 institutions in 1 country.

Leisha MartinDepartment of Life Sciences, Texas A&M University-Corpus Christi, 6300 Ocean Drive, Corpus Christi, TX 78412, U.S.A.
Jian ShengDepartment of Engineering, Texas A&M University-Corpus Christi, 6300 Ocean Drive, Corpus Christi, TX 78412, U.S.A.
Nattamai BhuvaneshDepartment of Chemistry, Texas A&M University, College Station Texas, 77843-3255, U.S.A.
Maryam Jalali-MousaviDepartment of Engineering, Texas A&M University-Corpus Christi, 6300 Ocean Drive, Corpus Christi, TX 78412, U.S.A.
Wei XuDepartment of Life Sciences, Texas A&M University-Corpus Christi, 6300 Ocean Drive, Corpus Christi, TX 78412, U.S.A.
Texas A&M University – Corpus Christi · USTexas A&M University · US

Funding

Environmental effects on dermatoxicities of polycyclic aromatic hydrocarbonsR15ES030955 · NIEHS · TEXAS A&M UNIVERSITY-CORPUS CHRISTI · PI XU, WEI · 2019 to 2019
$401k
NIEHS NIH HHS R15 ES030955
6 · The paper itself

Abstract

Nanoparticles (NPs) that can be optically tracked are of interest for cell and organismal biodistribution studies. However, dyes or fluorophores crosslinked or adsorbed onto NP surfaces may detach or leach, resulting in optical artifacts. NP surfaces altered to carry dyes or fluorophores are also anticipated to affect toxicity profiles, protein interactions, and cell uptake. Zinc oxide (ZnO) NPs provide a potential solution. We have produced ZnO nanoparticles with different morphologies and defect emissions in the visible range using sol-gel chemistry. Several of the nanocomposites produced have a wide visible band emission. ZnO semiconductor nanocomposites have broad applications in many fields. They may be dispersed in polymers, functionalized for cell targeting, conjugated to drugs or proteins. We report a unique 600 nm emission peak, which is of interest for nano-bio interaction studies currently limited by autofluorescence in biologicals and the spectral overlap of common fluorescent dyes and proteins.

Identifiers

PMID36147310
PMCPMC9491348
OpenAlexW4224903458

What OpenQuestion holds

Textmetadata
LicenceTDM
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.