Evidence map›Paper›PMID 35889589›Full record

ReviewNanomaterials (Basel, Switzerland)2022

A Review on Carbon Dots: Synthesis, Characterization and Its Application in Optical Sensor for Environmental Monitoring.

Nur Alia Sheh Omar, Yap Wing Fen, Ramli Irmawati, Hazwani Suhaila Hashim, Nur Syahira Md Ramdzan, Nurul Illya Muhamad Fauzi

Abstract readReview
In one paragraph

Review in Nanomaterials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 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.

Nur Alia Sheh OmarFaculty of Science, Universiti Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia.
Yap Wing FenFaculty of Science, Universiti Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia.ORCID 0000-0003-3475-7469
Ramli IrmawatiFaculty of Science, Universiti Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia.ORCID 0000-0002-5890-7145
Hazwani Suhaila HashimFaculty of Science, Universiti Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia.
Nur Syahira Md RamdzanFaculty of Science, Universiti Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia.
Nurul Illya Muhamad FauziInstitute of Nanoscience and Nanotechnology, Universiti Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia.

Funding

Universiti Putra Malaysia GP-IPB/2021/9700700
6 · The paper itself

Abstract

The development of carbon dots (CDs), either using green or chemical precursors, has inevitably led to their wide range application, from bioimaging to optoelectronic devices. The reported precursors and properties of these CDs have opened new opportunities for the future development of high-quality CDs and applications. Green precursors were classified into fruits, vegetables, flowers, leaves, seeds, stem, crop residues, fungi/bacteria species, and waste products, while the chemical precursors were classified into acid reagents and non-acid reagents. This paper quickly reviews ten years of the synthesis of CDs using green and chemical precursors. The application of CDs as sensing materials in optical sensor techniques for environmental monitoring, including the detection of heavy metal ions, phenol, pesticides, and nitroaromatic explosives, was also discussed in this review. This profound review will offer knowledge for the upcoming community of researchers interested in synthesizing high-quality CDs for various applications.

Indexed as

carbon dotschemical synthesisenvironmental pollutiongreen synthesisoptical sensor

Identifiers

PMID35889589
PMCPMC9321155

What OpenQuestion holds

Textmetadata
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.