Evidence map›Paper›PMID 35463481›Full record

ArticleSensors and actuators. B, Chemical2022

Nanoplasmonic biosensor for rapid detection of multiple viral variants in human serum.

Nikhil Bhalla, Amir Farokh Payam, Alessio Morelli, Preetam Kumar Sharma, Rhiannon Johnson, Alan Thomson, Pawan Jolly, Francesco Canfarotta

Open access · hybridAbstract read
In one paragraph

Article in Sensors and actuators. B, Chemical, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.1field-weighted citation impact, top 3% 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

13 citing papers in PubMed, 51 citations in OpenAlex.

  1. Review
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  5. Localized Surface Plasmon Resonance Sensing and its Interplay with Fluidics.Langmuir : the ACS journal of surfaces and colloids · 2024
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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

8 authors at 3 institutions in 1 country.

Nikhil BhallaNanotechnology and Integrated Bioengineering Centre (NIBEC), School of Engineering, Ulster University, Jordanstown, Shore Road, Northern Ireland BT37 0QB, United Kingdom.
Amir Farokh PayamNanotechnology and Integrated Bioengineering Centre (NIBEC), School of Engineering, Ulster University, Jordanstown, Shore Road, Northern Ireland BT37 0QB, United Kingdom.
Alessio MorelliNanotechnology and Integrated Bioengineering Centre (NIBEC), School of Engineering, Ulster University, Jordanstown, Shore Road, Northern Ireland BT37 0QB, United Kingdom.
Preetam Kumar SharmaDepartment of Chemical Engineering, Loughborough University, LE11 3TU Loughborough, United Kingdom.
Rhiannon JohnsonMIP Diagnostics, Colworth Park, Sharnbrook, Bedfordshire MK44 1LQ, United Kingdom.
Alan ThomsonMIP Diagnostics, Colworth Park, Sharnbrook, Bedfordshire MK44 1LQ, United Kingdom.
Pawan JollyWyss Institute for Biologically Inspired Engineering, Harvard University, CLSB5, 3 Blackfan Circle, Boston, MA 02115, United States.
Francesco CanfarottaMIP Diagnostics, Colworth Park, Sharnbrook, Bedfordshire MK44 1LQ, United Kingdom.
University of Bedfordshire · GBUniversity of Ulster · GBLoughborough University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As viruses constantly change due to mutation, variants are expected to emerge demanding development of sensors capable of detecting multiple variants using one single sensor platform. Herein, we report the integration of a synthetic binder against SARS-CoV-2 with a nanoplasmonic-based sensing technology, which enables the successful detection of spike proteins of Alpha, Beta and Gamma variants of SARS CoV-2. The recognition event is achieved by specific nanostructured molecularly imprinted polymers (nanoMIPs), developed against a region of the receptor binding domain (RBD) of the SARS CoV-2 spike protein. The transduction is based on the principle of localized surface plasmon resonance (LSPR) associated with silver nanostructures. The nanoMIPs-functionalised LSPR sensor allows for the detection of all 3 protein variants with a limit of detection of 9.71 fM, 7.32 fM and 8.81 pM using wavelength shifts respectively for Alpha, Beta and Gamma spike protein variants. This can be achieved within 30 min from the sample collection, both from blood and using nasal swab, thus making this sensor suitable for rapid detection of COVID-19. Additionally, the turnaround time for sensor development and validation can be completed in less than 8 weeks, making it suitable for addressing future pandemic needs without the requirement for biological binding agents, which is one of the bottlenecks to the supply chain in diagnostic devices.

Indexed as

BiosensorsLSPRMIPsNanoplasmonicsProteinsVirus

Identifiers

PMID35463481
PMCPMC9015716
OpenAlexW4224231547

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.