Evidence map›Paper›PMID 30087919›Full record

ArticleACS omega2018

Silicon Quantum Dot-Based Fluorescent Probe: Synthesis Characterization and Recognition of Thiocyanate in Human Blood.

Debiprasad Roy, Koushik Majhi, Maloy Kr Mondal, Swadhin Kr Saha, Subrata Sinha, Pranesh Chowdhury

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

2 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 1 institution in 1 country.

Debiprasad RoyPolymer & Nano Research Laboratory, Department of Chemistry, and Integrated Science Education and Research Centre, Siksha Bhavana, Visva-Bharati University, Santiniketan 731 235, India.
Koushik MajhiPolymer & Nano Research Laboratory, Department of Chemistry, and Integrated Science Education and Research Centre, Siksha Bhavana, Visva-Bharati University, Santiniketan 731 235, India.
Maloy Kr MondalPolymer & Nano Research Laboratory, Department of Chemistry, and Integrated Science Education and Research Centre, Siksha Bhavana, Visva-Bharati University, Santiniketan 731 235, India.
Swadhin Kr SahaPolymer & Nano Research Laboratory, Department of Chemistry, and Integrated Science Education and Research Centre, Siksha Bhavana, Visva-Bharati University, Santiniketan 731 235, India.
Subrata SinhaPolymer & Nano Research Laboratory, Department of Chemistry, and Integrated Science Education and Research Centre, Siksha Bhavana, Visva-Bharati University, Santiniketan 731 235, India.
Pranesh ChowdhuryPolymer & Nano Research Laboratory, Department of Chemistry, and Integrated Science Education and Research Centre, Siksha Bhavana, Visva-Bharati University, Santiniketan 731 235, India.
Visva-Bharati University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Allylamine-functionalized silicon quantum dots (ASQDs) of high photostability are synthesized by a robust inverse micelle method to use the material as a fluorescent probe for selective recognition of thiocyanate (a biomarker of a smoker and a nonsmoker). The synthesized ASQDs were characterized by absorption, emission, and Fourier transform infrared spectroscopy. Surface morphology is studied by transmission electron microscopy and dynamic light scattering. The synthesized material exhibits desirable fluorescence behavior with a high quantum yield. A selective and accurate (up to 10

Identifiers

PMID30087919
PMCPMC6068596
OpenAlexW2816065861

What OpenQuestion holds

Textmetadata
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.