Evidence map›Paper›PMID 32292500›Full record

ReviewTheranostics2020

Signal amplification and quantification on lateral flow assays by laser excitation of plasmonic nanomaterials.

Haihang Ye, Yaning Liu, Li Zhan, Yilin Liu, Zhenpeng Qin

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Theranostics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. SiOMikrochimica acta · 2026
    Article
  2. FePlants (Basel, Switzerland) · 2026
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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.

Haihang YeDepartment of Mechanical Engineering, University of Texas at Dallas, Richardson, Texas 75080, USA.
Yaning LiuDepartment of Mechanical Engineering, University of Texas at Dallas, Richardson, Texas 75080, USA.
Li ZhanDepartment of Mechanical Engineering, University of Minnesota, 111 Church Street SE, Minneapolis, Minnesota 55455, USA.
Yilin LiuDepartment of Mechanical Engineering, University of Minnesota, 111 Church Street SE, Minneapolis, Minnesota 55455, USA.
Zhenpeng QinDepartment of Mechanical Engineering, University of Texas at Dallas, Richardson, Texas 75080, USA.

Funding

Rapid Diagnostic Test for Respiratory Syncytial Virus by Digital NanobubblesR01AI151374 · NIAID · UNIVERSITY OF TEXAS DALLAS · PI QIN, ZHENPENG · 2020 to 2024
$2.5M
Digital Nanobubble Biosensor for Respiratory Syncytial Virus DetectionR21AI140462 · NIAID · UNIVERSITY OF TEXAS DALLAS · PI QIN, ZHENPENG · 2018 to 2019
$443k
NIAID NIH HHS R01 AI151374NIAID NIH HHS R21 AI140462
6 · The paper itself

Abstract

Lateral flow assay (LFA) has become one of the most widely used point-of-care diagnostic methods due to its simplicity and low cost. While easy to use, LFA suffers from its low sensitivity and poor quantification, which largely limits its applications for early disease diagnosis and requires further testing to eliminate false-negative results. Over the past decade, signal enhancement strategies that took advantage of the laser excitation of plasmonic nanomaterials have pushed down the detection limit and enabled quantification of analytes. Significantly, these methods amplify the signal based on the current LFA design without modification. This review highlights these strategies of signal enhancement for LFA including surface enhanced Raman scattering (SERS), photothermal and photoacoustic methods. Perspectives on the rational design of the reader systems are provided. Future translation of the research toward clinical applications is also discussed.

Indexed as

NanostructuresPoint-of-Care TestingBiosensing TechniquesHumansLimit of DetectionMetal NanoparticlesPhotoacoustic TechniquesSpectrum Analysis, Ramangold nanoparticleslateral flow assaynanoparticle heatingSERSsignal amplification and quantification

Identifiers

PMID32292500
PMCPMC7150487

What OpenQuestion holds

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LicenceCC BY
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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.