Evidence map›Paper›PMID 28914769›Full record

ReviewSensors (Basel, Switzerland)2017

Multifunctional Nanotechnology-Enabled Sensors for Rapid Capture and Detection of Pathogens.

Fatima Mustafa, Rabeay Y A Hassan, Silvana Andreescu

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  6. Voltammetric determination ofRSC advances · 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.

Fatima MustafaDepartment of Chemistry and Biomolecular Science, Clarkson University, Potsdam, NY 13699-5810, USA. mustaffm@clarkson.edu.
Rabeay Y A HassanApplied Organic Chemistry Department, National Research Centre (NRC), El Bohouth st., Dokki, 12622-Giza, Egypt. rabeayy@yahoo.com.ORCID 0000-0002-1867-9643
Silvana AndreescuDepartment of Chemistry and Biomolecular Science, Clarkson University, Potsdam, NY 13699-5810, USA. eandrees@clarkson.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanomaterial-based sensing approaches that incorporate different types of nanoparticles (NPs) and nanostructures in conjunction with natural or synthetic receptors as molecular recognition elements provide opportunities for the design of sensitive and selective assays for rapid detection of contaminants. This review summarizes recent advancements over the past ten years in the development of nanotechnology-enabled sensors and systems for capture and detection of pathogens. The most common types of nanostructures and NPs, their modification with receptor molecules and integration to produce viable sensing systems with biorecognition, amplification and signal readout are discussed. Examples of all-in-one systems that combine multifunctional properties for capture, separation, inactivation and detection are also provided. Current trends in the development of low-cost instrumentation for rapid assessment of food contamination are discussed as well as challenges for practical implementation and directions for future research.

Indexed as

NanotechnologyBiosensing TechniquesFood ContaminationNanoparticlesNanostructuresfoodintegrated sensing systemsmultifunctional nanotechnologypathogensportable sensorstoxicity

Identifiers

PMID28914769
PMCPMC5621351

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.