Evidence map›Paper›PMID 25553178›Full record

ArticleBiomicrofluidics2014

Smartphone-interfaced lab-on-a-chip devices for field-deployable enzyme-linked immunosorbent assay.

Arnold Chen, Royal Wang, Candace R S Bever, Siyuan Xing, Bruce D Hammock, Tingrui Pan

Open access · bronzeAbstract read
In one paragraph

Article in Biomicrofluidics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
5.6field-weighted citation impact, top 4% 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

23 citing papers in PubMed, 68 citations in OpenAlex.

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  13. MBiosensors & bioelectronics · 2018
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  19. 3D printed microfluidic mixer for point-of-care diagnosis of anemia.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2016
    Article
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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 at 1 institution in 1 country.

Arnold ChenDepartment of Biomedical Engineering, University of California , Davis, California 95616, USA.
Royal WangDepartment of Biomedical Engineering, University of California , Davis, California 95616, USA.
Candace R S BeverDepartment of Entomology and Nematology, University of California , Davis, California 95616, USA.
Siyuan XingDepartment of Biomedical Engineering, University of California , Davis, California 95616, USA.
Tingrui PanDepartment of Biomedical Engineering, University of California , Davis, California 95616, USA.
University of California, Davis · US

Funding

Workshop on Environmental Technology Transfer and EntrepreneurshipP42ES004699 · NIEHS · UNIVERSITY OF CALIFORNIA DAVIS · PI HAMMOCK, BRUCE D · 1987 to 2021
$50.1M
NIEHS NIH HHS P42 ES004699
6 · The paper itself

Abstract

The emerging technologies on mobile-based diagnosis and bioanalytical detection have enabled powerful laboratory assays such as enzyme-linked immunosorbent assay (ELISA) to be conducted in field-use lab-on-a-chip devices. In this paper, we present a low-cost universal serial bus (USB)-interfaced mobile platform to perform microfluidic ELISA operations in detecting the presence and concentrations of BDE-47 (2,2',4,4'-tetrabromodiphenyl ether), an environmental contaminant found in our food supply with adverse health impact. Our point-of-care diagnostic device utilizes flexible interdigitated carbon black electrodes to convert electric current into a microfluidic pump via gas bubble expansion during electrolytic reaction. The micropump receives power from a mobile phone and transports BDE-47 analytes through the microfluidic device conducting competitive ELISA. Using variable domain of heavy chain antibodies (commonly referred to as single domain antibodies or Nanobodies), the proposed device is sensitive for a BDE-47 concentration range of 10(-3)-10(4 ) μg/l, with a comparable performance to that uses a standard competitive ELISA protocol. It is anticipated that the potential impact in mobile detection of health and environmental contaminants will prove beneficial to our community and low-resource environments.

Identifiers

PMID25553178
PMCPMC4241779
OpenAlexW1975648687

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.