Literature DB >> 25168283

A smartphone-based colorimetric reader for bioanalytical applications using the screen-based bottom illumination provided by gadgets.

Sandeep Kumar Vashist1, Thomas van Oordt2, E Marion Schneider3, Roland Zengerle4, Felix von Stetten4, John H T Luong5.   

Abstract

A smartphone-based colorimetric reader (SBCR) was developed using a Samsung Galaxy SIII mini, a gadget (iPAD mini, iPAD4 or iPhone 5s), integrated with a custom-made dark hood and base holder assembly. The smartphone equipped with a back camera (5 megapixels resolution) was used for colorimetric imaging via the hood and base-holder assembly. A 96- or 24-well microtiter plate (MTP) was positioned on the gadget's screensaver that provides white light-based bottom illumination only in the specific regions corresponding to the bottom of MTP's wells. The pixel intensity of the captured images was determined by an image processing algorithm. The developed SBCR was evaluated and compared with a commercial MTP reader (MTPR) for three model assays: our recently developed human C-reactive protein sandwich enzyme-linked immunosorbent assay (ELISA), horseradish peroxidase direct ELISA, and bicinchoninic acid protein estimation assay. SBCR had the same precision, dynamic range, detection limit and sensitivity as MTPR for all three assays. With advanced microfabrication and data processing, SBCR will become more compact, lighter, inexpensive and enriched with more features. Therefore, SBCR with a remarkable computing power could be an ideal point-of-care (POC) colorimetric detection device for the next-generation of cost-effective POC diagnostics, immunoassays and diversified bioanalytical applications.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bicinchoninic acid protein assay; Gadget; Immunoassay; Screen; Smartphone-based colorimetric readout

Mesh:

Year:  2014        PMID: 25168283     DOI: 10.1016/j.bios.2014.08.027

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  29 in total

1.  A low-cost smartphone-based platform for highly sensitive point-of-care testing with persistent luminescent phosphors.

Authors:  Andrew S Paterson; Balakrishnan Raja; Vinay Mandadi; Blane Townsend; Miles Lee; Alex Buell; Binh Vu; Jakoah Brgoch; Richard C Willson
Journal:  Lab Chip       Date:  2017-03-14       Impact factor: 6.799

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

Review 3.  Paper-based assays for urine analysis.

Authors:  Eric Lepowsky; Fariba Ghaderinezhad; Stephanie Knowlton; Savas Tasoglu
Journal:  Biomicrofluidics       Date:  2017-10-17       Impact factor: 2.800

4.  Point-of-care Colorimetric Analysis through Smartphone Video.

Authors:  Benjamin Coleman; Chad Coarsey; Md Alamgir Kabir; Waseem Asghar
Journal:  Sens Actuators B Chem       Date:  2018-11-09       Impact factor: 7.460

5.  Cell phone based colorimetric analysis for point-of-care settings.

Authors:  Benjamin Coleman; Chad Coarsey; Waseem Asghar
Journal:  Analyst       Date:  2019-01-28       Impact factor: 4.616

6.  Medically relevant assays with a simple smartphone and tablet based fluorescence detection system.

Authors:  Piotr Wargocki; Wei Deng; Ayad G Anwer; Ewa M Goldys
Journal:  Sensors (Basel)       Date:  2015-05-20       Impact factor: 3.576

7.  A Novel Point-of-Care Biomarker Recognition Method: Validation by Detecting Marker for Diabetic Nephropathy.

Authors:  Sahana Pentyala; John Muller; Thomas Tumillo; Avijit Roy; Pooja Mysore; Srinivas Pentyala
Journal:  Diagnostics (Basel)       Date:  2015-04-23

8.  Smartphone-Based Point-of-Care Urinalysis Under Variable Illumination.

Authors:  Moonsoo Ra; Mannan Saeed Muhammad; Chiawei Lim; Sehui Han; Chansung Jung; Whoi-Yul Kim
Journal:  IEEE J Transl Eng Health Med       Date:  2017-12-15       Impact factor: 3.316

9.  A 3D-Printed, Portable, Optical-Sensing Platform for Smartphones Capable of Detecting the Herbicide 2,4-Dichlorophenoxyacetic Acid.

Authors:  Yijia Wang; Mohamed M A Zeinhom; Mingming Yang; Rongrong Sun; Shengfu Wang; Jordan N Smith; Charles Timchalk; Lei Li; Yuehe Lin; Dan Du
Journal:  Anal Chem       Date:  2017-08-21       Impact factor: 6.986

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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