Evidence map›Paper›PMID 35701638›Full record

ReviewMikrochimica acta2022

Graphene quantum dots: synthesis, properties, and applications to the development of optical and electrochemical sensors for chemical sensing.

Noel Nesakumar, Soorya Srinivasan, Subbiah Alwarappan

Abstract readReview
PubMed Publisher
In one paragraph

Review in Mikrochimica acta, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  5. Metal-Decorated CNanomaterials (Basel, Switzerland) · 2026
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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.

Noel NesakumarCentre for Nanotechnology & Advanced Biomaterials (CeNTAB), SASTRA Deemed to Be University, Thanjavur, 613401, Tamil Nadu, India.
Soorya SrinivasanSchool of Electrical & Electronics Engineering, SASTRA Deemed to Be University, Thanjavur, 613401, Tamil Nadu, India.
Subbiah AlwarappanElectrodics and Electrocatalysis Division, CSIR-Central Electrochemical Research Institute, Karaikudi, 630003, Tamil Nadu, India. alwarappan@cecri.res.in.ORCID http://orcid.org/0000-0001-9559-8989

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

GQDs exhibits exceptional electrochemical activity owing to their active edge sites that make them very attractive for biosensing applications. However, their use in the design of new biosensing devices for application to the detection and quantification of toxins, pathogens, and clinical biomarkers has so far not investigated in detail. In this regard, herein we provide a detailed review on various methodologies employed for the synthesis of GQDs, including bottom-up and top-down approaches, with a special focus on their applications in biosensing via fluorescence, photoluminescence, chemiluminescence, electrochemiluminescence, fluorescence resonance energy transfer, and electrochemical techniques. We believe that this review will shed light on the critical issues and widen the applications of GQDs for the design of biosensors with improved analytical response for future applications. HIGHLIGHTS: • Properties of GQDs play a critical role in biosensing applications. • Synthesis of GQDs using top-down and bottom-up approaches is discussed comprehensively. • Overview of advancements in GQD-based sensors over the last decade. • Methods for the design of selective and sensitive GQD-based sensors. • Challenges and opportunities for future GQD-based sensors.

Indexed as

Biosensing TechniquesGraphiteQuantum DotsElectrochemical TechniquesLuminescenceGraphiteBottom-up approachElectrochemical sensorGQDsOptical sensorTop-down approach

Identifiers

What OpenQuestion holds

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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.