Evidence map›Paper›PMID 32836088›Full record

Trial reportBiosensors & bioelectronics2020

A smartphone-based particle diffusometry platform for sub-attomolar detection of Vibrio cholerae in environmental water.

Taylor J Moehling, Dong Hoon Lee, Meghan E Henderson, Mariah K McDonald, Preston H Tsang, Seba Kaakeh, Eugene S Kim, Steven T Wereley, Tamara L Kinzer-Ursem, Katherine N Clayton and 1 more

Abstract readClinical Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Biosensors & bioelectronics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  14. Molecular Diagnostic Tools Applied for Assessing Microbial Water Quality.International journal of environmental research and public health · 2022
    Review
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  16. 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

11 authors.

Taylor J MoehlingWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, 47907, USA.
Dong Hoon LeeSchool of Mechanical Engineering, Purdue University, West Lafayette, IN, 47907, USA.
Meghan E HendersonWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, 47907, USA.
Mariah K McDonaldWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, 47907, USA.
Preston H TsangWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, 47907, USA.
Seba KaakehDepartment of Biochemistry, Purdue University, West Lafayette, IN, 47907, USA.
Eugene S KimWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, 47907, USA.
Steven T WereleySchool of Mechanical Engineering, Purdue University, West Lafayette, IN, 47907, USA.
Tamara L Kinzer-UrsemWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, 47907, USA.
Katherine N ClaytonSchool of Mechanical Engineering, Purdue University, West Lafayette, IN, 47907, USA; OmniVis LLC, Indianapolis, IN, 46201, USA. Electronic address: kclayton@omnivistech.com.
Jacqueline C LinnesWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, 47907, USA. Electronic address: jlinnes@purdue.edu.

Funding

Smartphone-based diagnostic for HIV self-testingR61AI140474 · NIAID · PURDUE UNIVERSITY · PI LINNES, JACQUELINE · 2018 to 2020
$1.1M
NIAID NIH HHS R61 AI140474
6 · The paper itself

Abstract

Each year, 3.4 million people die from waterborne diseases worldwide. Development of a rapid and portable platform for detecting and monitoring waterborne pathogens would significantly aid in reducing the incidence and spread of infectious diseases. By combining optical methods and smartphone technology with molecular assays, the sensitivity required to detect exceedingly low concentrations of waterborne pathogens can readily be achieved. Here, we implement smartphone-based particle diffusometry (PD) detection of loop-mediated isothermal amplification (LAMP) targeting the waterborne pathogen Vibrio cholerae (V. cholerae). By measuring the diffusion of 400 nm streptavidin-coated fluorescent nanoparticles imaged at 68X magnification on a smartphone, we can detect as few as 6 V. cholerae cells per reaction (0.66 aM) in just 35 minutes. In a double-blinded study with 132 pond water samples, we establish a 91.8% sensitivity, 95.2% specificity, and 94.3% accuracy of the smartphone-based PD platform for detection of V. cholerae. Together, these results demonstrate the utility of this smartphone-based PD platform for rapid and sensitive detection of V. cholerae at the point of use.

Indexed as

Biosensing TechniquesVibrio choleraeDouble-Blind MethodHumansMolecular Diagnostic TechniquesNucleic Acid Amplification TechniquesSensitivity and SpecificitySmartphoneWaterWaterBiosensorLoop-mediated isothermal amplificationParticle diffusometryPoint of useSmartphoneVibrio cholerae

Identifiers

PMID32836088
PMCPMC7532658

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.