Evidence map›Paper›PMID 28598391›Full record

ArticleSensors (Basel, Switzerland)2017

Rapid Waterborne Pathogen Detection with Mobile Electronics.

Tsung-Feng Wu, Yu-Chen Chen, Wei-Chung Wang, Ashwini S Kucknoor, Che-Jen Lin, Yu-Hwa Lo, Chun-Wei Yao, Ian Lian

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. Article
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

8 authors.

Tsung-Feng WuVOR, Inc., San Diego 92122, CA, USA. tfwu@vorsense.com.
Yu-Chen ChenVOR, Inc., San Diego 92122, CA, USA. winston@vorsense.com.
Wei-Chung WangVOR, Inc., San Diego 92122, CA, USA. Johnnywang@vorsense.com.
Ashwini S KucknoorCenter for Advances in Water & Air Quality, Lamar University, Beaumont, TX 77710, USA. ashwini.kucknoor@lamar.edu.
Che-Jen LinCenter for Advances in Water & Air Quality, Lamar University, Beaumont, TX 77710, USA. Jerry.Lin@lamar.edu.
Yu-Hwa LoDepartment of Electrical and Computer Engineering, University of California at San Diego, San Diego, CA 92093, USA. cyao@lamar.edu.
Chun-Wei YaoCenter for Advances in Water & Air Quality, Lamar University, Beaumont, TX 77710, USA. ylo@ucsd.edu.
Ian LianCenter for Advances in Water & Air Quality, Lamar University, Beaumont, TX 77710, USA. ian.lian@lamar.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pathogen detection in water samples, without complex and time consuming procedures such as fluorescent-labeling or culture-based incubation, is essential to public safety. We propose an immunoagglutination-based protocol together with the microfluidic device to quantify pathogen levels directly from water samples. Utilizing ubiquitous complementary metal-oxide-semiconductor (CMOS) imagers from mobile electronics, a low-cost and one-step reaction detection protocol is developed to enable field detection for waterborne pathogens. 10 mL of pathogen-containing water samples was processed using the developed protocol including filtration enrichment, immune-reaction detection and imaging processing. The limit of detection of 10

Indexed as

Electrical Equipment and SuppliesEscherichia coli O157field testingfluorescent-free labelingmobile electronicspathogen identification detectionwaterborne

Identifiers

PMID28598391
PMCPMC5492157

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.