Literature DB >> 30851493

Point-of-care testing based on smartphone: The current state-of-the-art (2017-2018).

Junjie Liu1, Zhaoxin Geng2, Zhiyuan Fan3, Jian Liu4, Hongda Chen3.   

Abstract

Smartphone-based point-of-care testing (POCT) is rapidly emerging as a potential alternative to the traditional laboratory-based diagnostic testing owing to economic considerations and availability of medical equipment especially in resource-limited areas. A smartphone, combined with a biosensor and other related accessories, can offer high accuracy and sensitivity for medical testing. Moreover, the ubiquity of smartphone has propelled the development considerably, and accordingly research in recent years has shown promising progress in POCT. Here, we used samples (blood, urine, sweat, saliva and tears) of liquid biopsy as the standard for classification of smartphone-based POCT devices, considering that these samples contain multiple biomarkers of serious diseases. The colorimetric, fluorescent, brightfield, and electrochemical methods were utilized to examine these samples. We performed a comprehensive review of the development of smartphone-based POCT devices over the past two years (2017-2018) and assessed their relative merits and drawbacks. Based on the progress of POCT development, it illustrates that the various technological and economical requirements are urgent and tremendous. The tendency of high-quality, low-cost smartphone-based POCT devices, feature of biosensors (paper-based sensor, flexible device, microfluidic chip, et al.) currently widely used in POCT and recommendations of future works were summarized.
Copyright © 2019 Elsevier B.V. All rights reserved.

Keywords:  Diseases; Liquid biopsy; Point-of-care testing; Smartphone

Mesh:

Year:  2019        PMID: 30851493     DOI: 10.1016/j.bios.2019.01.068

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


  36 in total

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Journal:  Nano Futures       Date:  2022-04-07

5.  Compact Smartphone-Based Laser Speckle Contrast Imaging Endoscope Device for Point-of-Care Blood Flow Monitoring.

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Journal:  Biosensors (Basel)       Date:  2022-06-09

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8.  Mobile Health (mHealth) Viral Diagnostics Enabled with Adaptive Adversarial Learning.

Authors:  Ahmed Shokr; Luis G C Pacheco; Prudhvi Thirumalaraju; Manoj Kumar Kanakasabapathy; Jahnavi Gandhi; Deeksha Kartik; Filipe S R Silva; Eda Erdogmus; Hemanth Kandula; Shenglin Luo; Xu G Yu; Raymond T Chung; Jonathan Z Li; Daniel R Kuritzkes; Hadi Shafiee
Journal:  ACS Nano       Date:  2020-11-23       Impact factor: 15.881

9.  A Portable Smartphone-Based Laryngoscope System for High-Speed Vocal Cord Imaging of Patients With Throat Disorders: Instrument Validation Study.

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