Evidence map›Paper›PMID 36131960›Full record

ArticleNanoscale advances2019

Nucleotide-derived theranostic nanodots with intrinsic fluorescence and singlet oxygen generation for bioimaging and photodynamic therapy.

Xin Ting Zheng, Yee Ching Lai, Yen Nee Tan

Abstract read
In one paragraph

Article in Nanoscale advances, 2019. 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. Review
  2. Review
  3. Review
  4. A Strategic Review on Carbon Quantum Dots for Cancer-Diagnostics and Treatment.Frontiers in bioengineering and biotechnology · 2022
    Review
  5. Article
  6. Article
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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

3 authors.

Xin Ting ZhengInstitute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (ASTAR) 2 Fusionopolis Way Singapore 138634 Singapore tanyn@imre.a-star.edu.sg yennee.tan@newcastle.ac.uk.ORCID https://orcid.org/0000-0002-1431-0929
Yee Ching LaiDepartment of Chemistry, National University of Singapore 3 Science Drive Singapore 117543 Singapore.
Yen Nee TanInstitute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (ASTAR) 2 Fusionopolis Way Singapore 138634 Singapore tanyn@imre.a-star.edu.sg yennee.tan@newcastle.ac.uk.ORCID https://orcid.org/0000-0002-4003-063X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nucleic acids are important molecules of life and have recently emerged as important functional materials to synthesize, organize and assemble inorganic nanoparticles for various technological applications. In this study, we have systematically investigated the four basic nucleotides of DNA as precursors to form fluorescent nucleotide derived biodots (N-dots) with unique singlet oxygen generation properties by one-pot hydrothermal synthesis. It has been discovered for the first time that the nitrogenous base adenine accounts for the bright fluorescence, while the sugar and phosphate groups of the nucleotide endow the N-dots with good photo-stability. Among the N-dots synthesized in this study, adenosine triphosphate (ATP)-dots were found to exhibit the highest fluorescence quantum yield (QY) of 13.9%, whereas adenosine diphosphate (ADP)-dots exhibited the best photo-stability maintaining 97.6% photoluminescence intensity after continuous UV excitation for 30 min. Overall, deoxyadenosine monophosphate (dAMP)-dots display both high fluorescence QY (12.4%) and good photo-stability (91.9%). Most critically, dAMP-dots show the highest singlet oxygen generation with a remarkable singlet oxygen (

Identifiers

PMID36131960
PMCPMC9417059

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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.