Smartphone-based turbidity reader

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...

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Autores principales:	Hatice Ceylan Koydemir, Simran Rajpal, Esin Gumustekin, Doruk Karinca, Kyle Liang, Zoltan Göröcs, Derek Tseng, Aydogan Ozcan
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/e7213d763e554439ad04a814abad7efa
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spelling	oai:doaj.org-article:e7213d763e554439ad04a814abad7efa2021-12-02T13:35:03ZSmartphone-based turbidity reader10.1038/s41598-019-56474-z2045-2322https://doaj.org/article/e7213d763e554439ad04a814abad7efa2019-12-01T00:00:00Zhttps://doi.org/10.1038/s41598-019-56474-zhttps://doaj.org/toc/2045-2322Abstract 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° angle with respect to the to the light source. Images of the end facets of these fiber optic cables were captured using the smart phone and processed using a custom written image processing algorithm to automatically quantify the turbidity of each sample. Using transmittance and nephelometric readings, our mobile turbidimeter achieved accurate measurements over a large dynamic range, from 0.3 NTU to 2000 NTU. The accurate performance of our smartphone-based turbidimeter was also confirmed with various water samples collected in Los Angeles (USA), bacteria spiked water samples, as well as diesel fuel contaminated water samples. Having a detection limit of ~0.3 NTU, this cost-effective smartphone-based turbidimeter can be a useful analytical tool for screening of water quality in resource limited settings.Hatice Ceylan KoydemirSimran RajpalEsin GumustekinDoruk KarincaKyle LiangZoltan GöröcsDerek TsengAydogan OzcanNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 9, Iss 1, Pp 1-11 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Hatice Ceylan Koydemir Simran Rajpal Esin Gumustekin Doruk Karinca Kyle Liang Zoltan Göröcs Derek Tseng Aydogan Ozcan Smartphone-based turbidity reader
description	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° angle with respect to the to the light source. Images of the end facets of these fiber optic cables were captured using the smart phone and processed using a custom written image processing algorithm to automatically quantify the turbidity of each sample. Using transmittance and nephelometric readings, our mobile turbidimeter achieved accurate measurements over a large dynamic range, from 0.3 NTU to 2000 NTU. The accurate performance of our smartphone-based turbidimeter was also confirmed with various water samples collected in Los Angeles (USA), bacteria spiked water samples, as well as diesel fuel contaminated water samples. Having a detection limit of ~0.3 NTU, this cost-effective smartphone-based turbidimeter can be a useful analytical tool for screening of water quality in resource limited settings.
format	article
author	Hatice Ceylan Koydemir Simran Rajpal Esin Gumustekin Doruk Karinca Kyle Liang Zoltan Göröcs Derek Tseng Aydogan Ozcan
author_facet	Hatice Ceylan Koydemir Simran Rajpal Esin Gumustekin Doruk Karinca Kyle Liang Zoltan Göröcs Derek Tseng Aydogan Ozcan
author_sort	Hatice Ceylan Koydemir
title	Smartphone-based turbidity reader
title_short	Smartphone-based turbidity reader
title_full	Smartphone-based turbidity reader
title_fullStr	Smartphone-based turbidity reader
title_full_unstemmed	Smartphone-based turbidity reader
title_sort	smartphone-based turbidity reader
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/e7213d763e554439ad04a814abad7efa
work_keys_str_mv	AT haticeceylankoydemir smartphonebasedturbidityreader AT simranrajpal smartphonebasedturbidityreader AT esingumustekin smartphonebasedturbidityreader AT dorukkarinca smartphonebasedturbidityreader AT kyleliang smartphonebasedturbidityreader AT zoltangorocs smartphonebasedturbidityreader AT derektseng smartphonebasedturbidityreader AT aydoganozcan smartphonebasedturbidityreader
_version_	1718392708589944832

Smartphone-based turbidity reader

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