Evidence map›Paper›PMID 38138308›Full record

ReviewMicromachines2023

Recent Progress in Transition Metal Dichalcogenides for Electrochemical Biomolecular Detection.

Sasya Madhurantakam, Georgeena Mathew, Bianca Elizabeth David, Aliya Naqvi, Shalini Prasad

Abstract readReview
In one paragraph

Review in Micromachines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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.

Sasya MadhurantakamDepartment of Bioengineering, The University of Texas at Dallas, Richardson, TX 75248, USA.ORCID 0000-0001-5605-9448
Georgeena MathewDepartment of Bioengineering, The University of Texas at Dallas, Richardson, TX 75248, USA.
Bianca Elizabeth DavidDepartment of Bioengineering, The University of Texas at Dallas, Richardson, TX 75248, USA.
Aliya NaqviDepartment of Bioengineering, The University of Texas at Dallas, Richardson, TX 75248, USA.
Shalini PrasadDepartment of Bioengineering, The University of Texas at Dallas, Richardson, TX 75248, USA.ORCID 0000-0002-2404-3801

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in the field of nanobiotechnology are largely due to discoveries in the field of materials. Recent developments in the field of electrochemical biosensors based on transition metal nanomaterials as transducer elements have been beneficial as they possess various functionalities that increase surface area and provide well-defined active sites to accommodate elements for rapid detection of biomolecules. In recent years, transition metal dichalcogenides (TMDs) have become the focus of interest in various applications due to their considerable physical, chemical, electronic, and optical properties. It is worth noting that their unique properties can be modulated by defect engineering and morphology control. The resulting multifunctional TMD surfaces have been explored as potential capture probes for the rapid and selective detection of biomolecules. In this review, our primary focus is to delve into the synthesis, properties, design, and development of electrochemical biosensors that are based on transition metal dichalcogenides (TMDs) for the detection of biomolecules. We aim to explore the potential of TMD-based electrochemical biosensors, identify the challenges that need to be overcome, and highlight the opportunities for further future development.

Indexed as

biomarkerselectrochemical sensorpoint-of-care devicestransition metal dichalcogenidestwo-dimensional materials

Identifiers

PMID38138308
PMCPMC10745343

What OpenQuestion holds

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LicenceCC BY
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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.