Literature DB >> 26560572

Smartphone-based colorimetric analysis for detection of saliva alcohol concentration.

Youngkee Jung, Jinhee Kim, Olumide Awofeso, Huisung Kim, Fred Regnier, Euiwon Bae.   

Abstract

A simple device and associated analytical methods are reported. We provide objective and accurate determination of saliva alcohol concentrations using smartphone-based colorimetric imaging. The device utilizes any smartphone with a miniature attachment that positions the sample and provides constant illumination for sample imaging. Analyses of histograms based on channel imaging of red-green-blue (RGB) and hue-saturation-value (HSV) color space provide unambiguous determination of blood alcohol concentration from color changes on sample pads. A smartphone-based sample analysis by colorimetry was developed and tested with blind samples that matched with the training sets. This technology can be adapted to any smartphone and used to conduct color change assays.

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Year:  2015        PMID: 26560572     DOI: 10.1364/AO.54.009183

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  15 in total

1.  Histogram analysis for smartphone-based rapid hematocrit determination.

Authors:  Uddin M Jalal; Sang C Kim; Joon S Shim
Journal:  Biomed Opt Express       Date:  2017-06-16       Impact factor: 3.732

2.  Smartphone supported backlight illumination and image acquisition for microfluidic-based point-of-care testing.

Authors:  Gang Chen; Hui Hui Chai; Ling Yu; Can Fang
Journal:  Biomed Opt Express       Date:  2018-09-04       Impact factor: 3.732

3.  Pencil-like imaging spectrometer for bio-samples sensing.

Authors:  Fuhong Cai; Dan Wang; Min Zhu; Sailing He
Journal:  Biomed Opt Express       Date:  2017-11-08       Impact factor: 3.732

4.  Smartphone-based multispectral imaging: system development and potential for mobile skin diagnosis.

Authors:  Sewoong Kim; Dongrae Cho; Jihun Kim; Manjae Kim; Sangyeon Youn; Jae Eun Jang; Minkyu Je; Dong Hun Lee; Boreom Lee; Daniel L Farkas; Jae Youn Hwang
Journal:  Biomed Opt Express       Date:  2016-11-28       Impact factor: 3.732

5.  Non-enzymatic colorimetric glucose detection based on Au/Ag nanoparticles using smartphone and machine learning.

Authors:  Volkan Kılıç; Öykü B Mercan; Mehmet Tetik; Özlem Kap; Nesrin Horzum
Journal:  Anal Sci       Date:  2022-03-22       Impact factor: 2.081

6.  An Automated Toolchain for Camera-Enabled Sensing of Drinking Water Chlorine Residual.

Authors:  Alyssa Schubert; Leah Pifer; Jianzhong Cheng; Shawn P McElmurry; Branko Kerkez; Nancy G Love
Journal:  ACS ES T Eng       Date:  2022-06-03

7.  Point-of-use detection of ascorbic acid using a spectrometric smartphone-based system.

Authors:  Miguel Ángel Aguirre; Kenneth D Long; Antonio Canals; Brian T Cunningham
Journal:  Food Chem       Date:  2018-08-09       Impact factor: 7.514

Review 8.  Mobile alcohol biosensors and pharmacotherapy development research.

Authors:  Walter Roberts; Sherry A McKee
Journal:  Alcohol       Date:  2018-08-03       Impact factor: 2.405

9.  Smartphone-based low light detection for bioluminescence application.

Authors:  Huisung Kim; Youngkee Jung; Iyll-Joon Doh; Roxana Andrea Lozano-Mahecha; Bruce Applegate; Euiwon Bae
Journal:  Sci Rep       Date:  2017-01-09       Impact factor: 4.379

Review 10.  Improving the Sensitivity and Functionality of Mobile Webcam-Based Fluorescence Detectors for Point-of-Care Diagnostics in Global Health.

Authors:  Reuven Rasooly; Hugh Alan Bruck; Joshua Balsam; Ben Prickril; Miguel Ossandon; Avraham Rasooly
Journal:  Diagnostics (Basel)       Date:  2016-05-17
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