Evidence map›Paper›PMID 35539869›Full record

ArticleRSC advances2018

Synthesis of water-soluble and bio-taggable CdSe@ZnS quantum dots.

G Ramalingam, K Venkata Saravanan, T Kayal Vizhi, M Rajkumar, Kathirvelu Baskar

Abstract read
In one paragraph

Article in RSC advances, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Nanoparticles: Taking a Unique Position in Medicine.Nanomaterials (Basel, Switzerland) · 2023
    Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. 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.

G RamalingamDepartment of Nanoscience and Technology, Alagappa University Karaikudi Tamil Nadu India 630 003 ramanloyola@gmail.com +91 9445295572 +91 04565 225630.ORCID https://orcid.org/0000-0001-6337-0437
K Venkata SaravananDepartment of Physics, Central University of Tamil Nadu Thiruvarur Tamil Nadu India 610 101 venketvs@cutn.ac.in.ORCID https://orcid.org/0000-0001-5601-141X
T Kayal VizhiDepartment of Physics, Central University of Tamil Nadu Thiruvarur Tamil Nadu India 610 101 venketvs@cutn.ac.in.
M RajkumarDepartment of Environmental Sciences, Bharathiyar University Coimbatore Tamil Nadu India 641 046.
Kathirvelu BaskarEntomology Research Institute, Loyola College Chennai-600 034 Tamil Nadu India suribaskar@hotmail.com.ORCID https://orcid.org/0000-0002-9767-5367

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many synthesized semiconductor QDs materials are formed using trioctylphosphine oxide (TOPO) but it requires high temperature, is very expensive and is also hydrophobic. Our study deals with selective syntheses of CdSe and core-shell CdSe/ZnS quantum dots (QDs) in aqueous solution by a simple heating and refluxing method. It is more hydrophilic, needs less temperature, is economically viable and is eco-friendly. Bio-ligands, such as thioacetamide, itaconic acid and glutathione, were used as stabilizers for the biosynthesis of QDs. A simplified aqueous route was used to improve the quality of the colloidal nanocrystals. As a result, highly monodisperse, photoluminescent and biocompatible nanoparticles were obtained. The synthesized QDs were characterized by XRD, FTIR, confocal microscopy, ultraviolet (UV) absorption and photoluminescence (PL). The size of synthesized QDs was observed as 5.74 nm and the core-shell shape was confirmed by using XRD and confocal microscopy respectively. The QD nanoparticles showed antibacterial activity against pathogenic bacteria. The QDs could be applied for biological labelling, fluorescence bio-sensing and bio-imaging

Identifiers

PMID35539869
PMCPMC9078530

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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.