Evidence map›Paper›PMID 33934756›Full record

ReviewTalanta2021

Nanomaterial application in bio/sensors for the detection of infectious diseases.

Elham Sheikhzadeh, Valerio Beni, Mohammed Zourob

Open access · greenAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Talanta, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 5% of its field
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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 90 citations in OpenAlex.

  1. Colorimetric Approach for Nucleic AcidInternational journal of environmental research and public health · 2022
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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 at 3 institutions in 3 countries.

Elham SheikhzadehDepartment of Chemistry, Faculty of Science, Ferdowsi University of Mashhad, Mashhad, Iran. Electronic address: Elham.Sheikhzadeh@mail.um.ac.ir.
Valerio BeniDigital Systems, Department Smart Hardware, Unit Bio-& Organic Electronics, RISE Acreo, Research Institutes of Sweden, Norrkoping, 60221, Sweden.
Mohammed ZourobDepartment of Chemistry, Alfaisal University, Al Zahrawi Street, Al Maather, Al Takhassusi Road, Riyadh, 11533, Saudi Arabia; King Faisal Specialist Hospital and Research Center, Zahrawi Street, Al Maather, Riyadh, 12713, Saudi Arabia. Electronic address: mzourob@alfaisal.edu.
Alfaisal University · SAFerdowsi University of Mashhad · IRRISE Research Institutes of Sweden · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infectious diseases are a potential risk for public health and the global economy. Fast and accurate detection of the pathogens that cause these infections is important to avoid the transmission of the diseases. Conventional methods for the detection of these microorganisms are time-consuming, costly, and not applicable for on-site monitoring. Biosensors can provide a fast, reliable, and point of care diagnostic. Nanomaterials, due to their outstanding electrical, chemical, and optical features, have become key players in the area of biosensors. This review will cover different nanomaterials that employed in electrochemical, optical, and instrumental biosensors for infectious disease diagnosis and how these contributed to enhancing the sensitivity and rapidity of the various sensing platforms. Examples of nanomaterial synthesis methods as well as a comprehensive description of their properties are explained. Moreover, when available, comparative data, in the presence and absence of the nanomaterials, have been reported to further highlight how the usage of nanomaterials enhances the performances of the sensor.

Indexed as

Biosensing TechniquesCommunicable DiseasesNanostructuresElectrochemical TechniquesHumansPoint-of-Care SystemsElectrochemical methodInfectious diseaseLateral flow stripNanomaterialOptical methodPathogen detection

Identifiers

PMID33934756
PMCPMC7854185
OpenAlexW3112738386

What OpenQuestion holds

Textmetadata
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.