Evidence map›Paper›PMID 31882742›Full record

ArticleScientific reports2019

Smartphone-based turbidity reader.

Hatice Ceylan Koydemir, Simran Rajpal, Esin Gumustekin, Doruk Karinca, Kyle Liang, Zoltan Göröcs, Derek Tseng, Aydogan Ozcan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Hatice Ceylan KoydemirBiengineering Department, University of California Los Angeles, Los Angeles, 90095, CA, USA.
Simran RajpalBiengineering Department, University of California Los Angeles, Los Angeles, 90095, CA, USA.
Esin GumustekinMicrobiology, Immunology and Molecular Genetics, University of California Los Angeles, Los Angeles, 90095, CA, USA.
Doruk KarincaComputer Science Department, University of California Los Angeles, Los Angeles, 90095, CA, USA.
Kyle LiangComputer Science Department, University of California Los Angeles, Los Angeles, 90095, CA, USA.
Zoltan GöröcsBiengineering Department, University of California Los Angeles, Los Angeles, 90095, CA, USA.
Derek TsengBiengineering Department, University of California Los Angeles, Los Angeles, 90095, CA, USA.ORCID http://orcid.org/0000-0001-7203-6537
Aydogan OzcanBiengineering Department, University of California Los Angeles, Los Angeles, 90095, CA, USA. ozcan@ucla.edu.ORCID http://orcid.org/0000-0002-0717-683X

Funding

Label-free, non-invasive and cost-effective monitoring of HIV viral load using a nano-plasmonic sensor on a contact lensR21EB023115 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI OZCAN, AYDOGAN · 2016 to 2017
$424k
NIBIB NIH HHS R21 EB023115
6 · The paper itself

Abstract

Water quality is undergoing significant deterioration due to bacteria, pollutants and other harmful particles, damaging aquatic life and lowering the quality of drinking water. It is, therefore, important to be able to rapidly and accurately measure water quality in a cost-effective manner using e.g., a turbidimeter. Turbidimeters typically use different illumination angles to measure the scattering and transmittance of light through a sample and translate these readings into a measurement based on the standard nephelometric turbidity unit (NTU). Traditional turbidimeters have high sensitivity and specificity, but they are not field-portable and require electricity to operate in field settings. Here we present a field-portable and cost effective turbidimeter that is based on a smartphone. This mobile turbidimeter contains an opto-mechanical attachment coupled to the rear camera of the smartphone, which contains two white light-emitting-diodes to illuminate the water sample, optical fibers to transmit the light collected from the sample to the camera, an external lens for image formation, and diffusers for uniform illumination of the sample. Including the smartphone, this cost-effective device weighs only ~350 g. In our mobile turbidimeter design, we combined two illumination approaches: transmittance, in which the optical fibers were placed directly below the sample cuvette at 180° with respect to the light source, and nephelometry in which the optical fibers were placed on the sides of the sample cuvette at a 90

Indexed as

SmartphoneAlgorithmsNephelometry and TurbidimetryWaterWater

Identifiers

PMID31882742
PMCPMC6934863

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.