Evidence map›Paper›PMID 37753395›Full record

ArticleRSC advances2023

A novel method for synthesis of carbon dots and their applications in reactive oxygen species (ROS) and glucose detections.

Chao-Sheng Chen, Aaron Shinnosuke Yokokawa, Kuan-Hsun Tseng, Ming-Hsu Wang, Kevin Sheng-Kai Ma, Chin-Feng Wan

Abstract read
In one paragraph

Article in RSC advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

6 authors.

Chao-Sheng ChenDepartment of Life Science, Imperial College London London UK.
Aaron Shinnosuke YokokawaDepartment of Electrical Engineering, National Sun Yat-sen University Kaohsiung Taiwan.
Kuan-Hsun TsengDepartment of Life Science, National Taiwan Normal University Taipei Taiwan.
Ming-Hsu WangCenter for General Education, Affiliated with College of Interdisciplinary Studies, Taipei Medical University Taipei Taiwan.
Kevin Sheng-Kai MaGraduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University Taipei Taiwan.
Chin-Feng WanDepartment of Medical Applied Chemistry, Chung Shan Medical University Taichung Taiwan jeanwan04@gmail.com.ORCID https://orcid.org/0009-0001-1703-9863

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A simple and novel method is proposed for preparation of water-soluble fluorescent carbon dots (C-dots), which have potential to be applied in detecting reactive oxygen species (ROS). The C-dots with high fluorescence quantum yield were created by hydrothermal methods with lactose as the carbon source and tris(hydroxylmethyl)aminomethane (Tris) as the surface passivation reagent. The C-dots have some unique characteristics such as excellent biocompatibility with a broad pH working range of 5-11 and high fluorescence, which makes them especially useful in the bio-detection field. The optical properties, surface groups, and element components of the prepared C-dots have been systematically studied by fluorescence spectroscopy. This facile approach is efficient and environmentally friendly and allows large-scale production of the C-dots without any further post-treatment. The C-dots have been adopted as probes for fluorescence turn-off detection owing to their high sensitivity to the hydroxyl radical. The detection limit can reach ∼0.1 μM under optimized conditions when using hydrogen peroxide as the source for generating ROS. Moreover, when paired with glucose oxidase, these C-dots can track glucose concentrations in samples. This adaptability suggests their potential in detecting various metabolites, paving the way for practical uses in disease detection.

Identifiers

PMID37753395
PMCPMC10519282

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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.