Evidence map›Paper›PMID 20865404›Full record

ArticleAnalytical and bioanalytical chemistry2010

Enhancing the lateral-flow immunoassay for viral detection using an aqueous two-phase micellar system.

Foad Mashayekhi, Ricky Y T Chiu, Alexander M Le, Felix C Chao, Benjamin M Wu, Daniel T Kamei

Abstract read
In one paragraph

Article in Analytical and bioanalytical chemistry, 2010. 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. First implementation of a polymer-polymer aqueous two-phase system to improve lateral-flow immunoassay sensitivity via dextranase integration on paper.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 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

6 authors.

Foad MashayekhiDepartment of Bioengineering, University of California, 5121 Engineering V, 420 Westwood Plaza, Los Angeles, CA 90095-1600, USA.
Ricky Y T Chiu
Alexander M Le
Felix C Chao
Benjamin M Wu
Daniel T Kamei

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Availability of a rapid, accurate, and reliable point-of-care (POC) device for detection of infectious agents and pandemic pathogens, such as swine-origin influenza A (H1N1) virus, is crucial for effective patient management and outbreak prevention. Due to its ease of use, rapid processing, and minimal power and laboratory equipment requirements, the lateral-flow (immuno)assay (LFA) has gained much attention in recent years as a possible solution. However, since the sensitivity of LFA has been shown to be inferior to that of the gold standards of pathogen detection, namely cell culture and real-time PCR, LFA remains an ineffective POC assay for preventing pandemic outbreaks. A practical solution for increasing the sensitivity of LFA is to concentrate the target agent in a solution prior to the detection step. In this study, an aqueous two-phase micellar system comprised of the nonionic surfactant Triton X-114 was investigated for concentrating a model virus, namely bacteriophage M13 (M13), prior to LFA. The volume ratio of the two coexisting micellar phases was manipulated to concentrate M13 in the top, micelle-poor phase. The concentration step effectively improved the M13 detection limit of the assay by tenfold from 5 × 10(8) plaque forming units (pfu)/mL to 5 × 10(7) pfu/mL. In the future, the volume ratio can be further manipulated to yield a greater concentration of a target virus and further decrease the detection limits of the LFA.

Indexed as

Bacteriophage M13HumansImmunoassayMicellesOctoxynolPolyethylene GlycolsMicellesNonidet P-40OctoxynolPolyethylene Glycols

Identifiers

PMID20865404
PMCPMC2990019

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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.