Evidence map›Paper›PMID 33467141›Full record

ArticleNanomaterials (Basel, Switzerland)2021

Fluorescence Signal Enhancement in Antibody Microarrays Using Lightguiding Nanowires.

Damiano Verardo, Leena Liljedahl, Corinna Richter, Björn Agnarsson, Ulrika Axelsson, Christelle N Prinz, Fredrik Höök, Carl A K Borrebaeck, Heiner Linke

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  3. Review
  4. Article
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  9. 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

9 authors.

Damiano VerardoNanoLund, Lund University, Box 118, 22100 Lund, Sweden.ORCID 0000-0002-8372-1617
Leena LiljedahlCREATE Health Translational Cancer Center, Department of Immunotechnology, Lund University, Medicon Village Bldg 406, 223 63 Lund, Sweden.
Corinna RichterCREATE Health Translational Cancer Center, Department of Immunotechnology, Lund University, Medicon Village Bldg 406, 223 63 Lund, Sweden.
Björn AgnarssonDepartment of Physics, Chalmers University of Technology, 41296 Gothenburg, Sweden.
Ulrika AxelssonCREATE Health Translational Cancer Center, Department of Immunotechnology, Lund University, Medicon Village Bldg 406, 223 63 Lund, Sweden.ORCID 0000-0002-3712-4897
Christelle N PrinzNanoLund, Lund University, Box 118, 22100 Lund, Sweden.
Fredrik HöökNanoLund, Lund University, Box 118, 22100 Lund, Sweden.ORCID 0000-0003-1994-5015
Carl A K BorrebaeckCREATE Health Translational Cancer Center, Department of Immunotechnology, Lund University, Medicon Village Bldg 406, 223 63 Lund, Sweden.
Heiner LinkeNanoLund, Lund University, Box 118, 22100 Lund, Sweden.ORCID 0000-0003-4451-4006

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fluorescence-based detection assays play an essential role in the life sciences and medicine. To offer better detection sensitivity and lower limits of detection (LOD), there is a growing need for novel platforms with an improved readout capacity. In this context, substrates containing semiconductor nanowires may offer significant advantages, due to their proven light-emission enhancing, waveguiding properties, and increased surface area. To demonstrate and evaluate the potential of such nanowires in the context of diagnostic assays, we have in this work adopted a well-established single-chain fragment antibody-based assay, based on a protocol previously designed for biomarker detection using planar microarrays, to freestanding, SiO

Indexed as

antibody microarraybiomarker discoverynanowire sensors

Identifiers

PMID33467141
PMCPMC7829981

What OpenQuestion holds

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Registered trials

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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.