Evidence map›Paper›PMID 29278789›Full record

ArticleWater research2018

Portable platform for rapid in-field identification of human fecal pollution in water.

Yu Sherry Jiang, Timothy E Riedel, Jessica A Popoola, Barrett R Morrow, Sheng Cai, Andrew D Ellington, Sanchita Bhadra

Abstract read
In one paragraph

Article in Water research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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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

7 authors.

Yu Sherry JiangDepartment of Molecular Biosciences, College of Natural Sciences, The University of Texas at Austin, Austin, TX 78712, USA.
Timothy E RiedelFreshman Research Initiative, College of Natural Sciences, The University of Texas at Austin, Austin, TX 78712, USA.
Jessica A PopoolaFreshman Research Initiative, College of Natural Sciences, The University of Texas at Austin, Austin, TX 78712, USA.
Barrett R MorrowFreshman Research Initiative, College of Natural Sciences, The University of Texas at Austin, Austin, TX 78712, USA.
Sheng CaiDepartment of Molecular Biosciences, College of Natural Sciences, The University of Texas at Austin, Austin, TX 78712, USA.
Andrew D EllingtonDepartment of Molecular Biosciences, College of Natural Sciences, The University of Texas at Austin, Austin, TX 78712, USA.
Sanchita BhadraDepartment of Molecular Biosciences, College of Natural Sciences, The University of Texas at Austin, Austin, TX 78712, USA. Electronic address: sanchitabhadra@utexas.edu.

Funding

Center for Innovation in Point of Care Technologies for the Future of Cancer CareU54EB015403 · NIBIB · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI KLAPPERICH, CATHERINE M. · 2012 to 2016
$8.9M
Identifying disease mechanisms of a periodontal pathogenF31DE024931 · NIDCR · UNIVERSITY OF TEXAS AT AUSTIN · PI STACY, APOLLO · 2014 to 2016
$119k
Howard Hughes Medical Institute 52005907Howard Hughes Medical Institute 52006958NIBIB NIH HHS U54 EB015403NIDCR NIH HHS F31 DE024931
6 · The paper itself

Abstract

Human fecal contamination of water is a public health risk. However, inadequate testing solutions frustrate timely, actionable monitoring. Bacterial culture-based methods are simple but typically cannot distinguish fecal host source. PCR assays can identify host sources but require expertise and infrastructure. To bridge this gap we have developed a field-ready nucleic acid diagnostic platform and rapid sample preparation methods that enable on-site identification of human fecal contamination within 80 min of sampling. Our platform relies on loop-mediated isothermal amplification (LAMP) of human-associated Bacteroides HF183 genetic markers from crude samples. Oligonucleotide strand exchange (OSD) probes reduce false positives by sequence specifically transducing LAMP amplicons into visible fluorescence that can be photographed by unmodified smartphones. Our assay can detect as few as 17 copies/ml of human-associated HF183 targets in sewage-contaminated water without cross-reaction with canine or feline feces. It performs robustly with a variety of environmental water sources and with raw sewage. We have also developed lyophilized assays and inexpensive 3D-printed devices to minimize cost and facilitate field application.

Indexed as

BacteroidesEnvironmental MonitoringFecesGenetic MarkersHumansNucleic AcidsSewageWater MicrobiologyWater PollutionGenetic MarkersNucleic AcidsSewageDNA strand displacement probesFecal indicator bacteriaFecal source identificationIsothermal nucleic acid amplificationPortable molecular diagnostics

Identifiers

PMID29278789
PMCPMC5999531

What OpenQuestion holds

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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.