Evidence map›Paper›PMID 30558252›Full record

ArticleBiosensors2018

Rapid Antibody Selection Using Surface Plasmon Resonance for High-Speed and Sensitive Hazelnut Lateral Flow Prototypes.

Georgina M S Ross, Maria G E G Bremer, Jan H Wichers, Aart van Amerongen, Michel W F Nielen

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

15 citing papers in PubMed, 34 citations in OpenAlex.

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  13. Smartphone-based optical assays in the food safety field.Trends in analytical chemistry : TRAC · 2020
    Review
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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

5 authors at 1 institution in 1 country.

Georgina M S RossRIKILT, Wageningen University & Research. P.O Box 230, 6700 AE Wageningen, The Netherlands. georgina.ross@wur.nl.ORCID 0000-0002-2145-2386
Maria G E G BremerRIKILT, Wageningen University & Research. P.O Box 230, 6700 AE Wageningen, The Netherlands. monique.bremer@wur.nl.
Jan H WichersWageningen Food & Biobased Research, BioSensing & Diagnostics, Wageningen University & Research, P.O Box 17, 6700 AA, Wageningen, The Netherlands. jan.wichers@wur.nl.
Aart van AmerongenWageningen Food & Biobased Research, BioSensing & Diagnostics, Wageningen University & Research, P.O Box 17, 6700 AA, Wageningen, The Netherlands. aart.vanamerongen@wur.nl.ORCID 0000-0002-2502-5744
Michel W F NielenRIKILT, Wageningen University & Research. P.O Box 230, 6700 AE Wageningen, The Netherlands. michel.nielen@wur.nl.ORCID 0000-0003-4634-0249
Wageningen University & Research · NL

Funding

European Union's Horizon 2020 research and innovation program under the Marie-Sklodowska-Curie grant agreement No 720325, FoodSmartphone
6 · The paper itself

Abstract

Lateral Flow Immunoassays (LFIAs) allow for rapid, low-cost, screening of many biomolecules such as food allergens. Despite being classified as rapid tests, many LFIAs take 10⁻20 min to complete. For a really high-speed LFIA, it is necessary to assess antibody association kinetics. By using a label-free optical technique such as Surface Plasmon Resonance (SPR), it is possible to screen crude monoclonal antibody (mAb) preparations for their association rates against a target. Herein, we describe an SPR-based method for screening and selecting crude anti-hazelnut antibodies based on their relative association rates, cross reactivity and sandwich pairing capabilities, for subsequent application in a rapid ligand binding assay. Thanks to the SPR selection process, only the fast mAb (F-50-6B12) and the slow (S-50-5H9) mAb needed purification for labelling with carbon nanoparticles to exploit high-speed LFIA prototypes. The kinetics observed in SPR were reflected in LFIA, with the test line appearing within 30 s, almost two times faster when F-50-6B12 was used, compared with S-50-5H9. Additionally, the LFIAs have demonstrated their future applicability to real life samples by detecting hazelnut in the sub-ppm range in a cookie matrix. Finally, these LFIAs not only provide a qualitative result when read visually, but also generate semi-quantitative data when exploiting freely downloadable smartphone apps.

Indexed as

Antibodies, MonoclonalAntigens, PlantCarbonCorylusFood HypersensitivityHumansImmunoassayLimit of DetectionNanoparticlesSurface Plasmon ResonanceAntibodies, MonoclonalAntigens, PlantCarbonantibody selectioncarbon nanoparticlesfood allergenhigh-speed lateral flow immunoassaysmartphone detectionsurface plasmon resonance

Identifiers

PMID30558252
PMCPMC6316566
OpenAlexW2905011086

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.