Evidence map›Paper›PMID 26489771›Full record

ArticleScientific reports2015

Immobilization of gold nanoclusters inside porous electrospun fibers for selective detection of Cu(II): A strategic approach to shielding pristine performance.

Anitha Senthamizhan, Asli Celebioglu, Brabu Balusamy, Tamer Uyar

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 40 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Anitha SenthamizhanUNAM-National Nanotechnology Research Center, Bilkent University, Ankara, 06800, Turkey.
Asli CelebiogluUNAM-National Nanotechnology Research Center, Bilkent University, Ankara, 06800, Turkey.
Brabu BalusamyUNAM-National Nanotechnology Research Center, Bilkent University, Ankara, 06800, Turkey.
Tamer UyarUNAM-National Nanotechnology Research Center, Bilkent University, Ankara, 06800, Turkey.
Bilkent University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here, a distinct demonstration of highly sensitive and selective detection of copper (Cu(2+)) in a vastly porous cellulose acetate fibers (pCAF) has been carried out using dithiothreitol capped gold nanocluster (DTT.AuNC) as fluorescent probe. A careful optimization of all potential factors affecting the performance of the probe for effective detection of Cu(2+) were studied and the resultant sensor strip exhibiting unique features including high stability, retained parent fluorescence nature and reproducibility. The visual colorimetric detection of Cu(2+) in water, presenting the selective sensing performance towards Cu(2+) ions over Zn(2+), Cd(2+) and Hg(2+) under UV light in naked eye, contrast to other metal ions that didn't significantly produce such a change. The comparative sensing performance of DTT.AuNC@pCAF, keeping the nonporous CA fiber (DTT.AuNC@nCAF) as a support matrix has been demonstrated. The resulting weak response of DTT.AuNC@nCAF denotes the lack of ligand protection leading to the poor coordination ability with Cu(2+). The determined detection limit (50 ppb) is far lower than the maximum level of Cu(2+) in drinking water (1.3 ppm) set by U.S. Environmental Protection Agency (EPA). An interesting find from this study has been the specific oxidation nature between Cu(2+) and DTT.AuNC, offering solid evidence for selective sensors.

Identifiers

PMID26489771
PMCPMC4614998
OpenAlexW2177623051

What OpenQuestion holds

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LicenceCC BY
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.