Evidence map›Paper›PMID 34947616›Full record

ReviewNanomaterials (Basel, Switzerland)2021

Synthesis and Luminescent Properties of Carbon Nanodots Dispersed in Nanostructured Silicas.

Andrii Vasin, Dmytro Kysil, Andriy Rusavsky, Oksana Isaieva, Alexander Zaderko, Alexei Nazarov, Volodymyr Lysenko

Abstract readReview
In one paragraph

Review in Nanomaterials (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Andrii VasinLashkaryov Institute of Semiconductor Physics, NAS of Ukraine, 03028 Kyiv, Ukraine.
Dmytro KysilLashkaryov Institute of Semiconductor Physics, NAS of Ukraine, 03028 Kyiv, Ukraine.
Andriy RusavskyLashkaryov Institute of Semiconductor Physics, NAS of Ukraine, 03028 Kyiv, Ukraine.
Oksana IsaievaLashkaryov Institute of Semiconductor Physics, NAS of Ukraine, 03028 Kyiv, Ukraine.
Alexander ZaderkoInstitute of High Technologies, Taras Shevchenko National University of Kyiv, 01033 Kyiv, Ukraine.
Alexei NazarovLashkaryov Institute of Semiconductor Physics, NAS of Ukraine, 03028 Kyiv, Ukraine.
Volodymyr LysenkoLashkaryov Institute of Semiconductor Physics, NAS of Ukraine, 03028 Kyiv, Ukraine.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Luminescent carbon nanoparticles are a relatively new class of luminescent materials that have attracted the increasing interest of chemists, physicists, biologists and engineers. The present review has a particular focus on the synthesis and luminescent properties of carbon nanoparticles dispersed inside nanostructured silica of different natures: oxidized porous silicon, amorphous thin films, nanopowders, and nanoporous sol-gel-derived ceramics. The correlations of processing conditions with emission/excitation spectral properties, relaxation kinetics, and photoluminescence photodegradation behaviors are analyzed. Following the evolution of the photoluminescence (PL) through the "from-bottom-to-up" synthesis procedure, the transformation of molecular-like ultraviolet emission of organic precursor into visible emission of carbon nanoparticles is demonstrated. At the end of the review, a novel method for the synthesis of luminescent and transparent composites, in form of nanoporous silica filled with luminescent carbon nanodots, is presented. A prototype of white light emitting devices, constructed on the basis of such luminophores and violet light emitting diodes, is demonstrated.

Indexed as

carbon nanodotsfumed silicaporous silicaSiOC thin films

Identifiers

PMID34947616
PMCPMC8706695

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.