Literature DB >> 26415134

Smartphone-based point-of-care testing of salivary α-amylase for personal psychological measurement.

Lin Zhang1, Wentao Yang, Yuankui Yang, Hong Liu, Zhongze Gu.   

Abstract

Here we report a smartphone-based potentiometric biosensor for point-of-care testing of salivary α-amylase (sAA), which is one of the most sensitive indices of autonomic nervous system activity, and therefore a promising non-invasive biomarker for mental health. The biosensing system includes a smartphone having a sAA-detection App, a potentiometric reader and a sensing chip with preloaded reagents. The saliva sample wicks into the reaction zone on the sensing chip so that the sAA reacts with the preloaded reagents, resulting in conversion of an electron mediator Fe(CN)6(3-) to Fe(CN)6(4-). The sensing chip is then pressed by fingers to push the reaction mixture into the detection zone for the potentiometric measurement. The potential measured by the smartphone-powered potentiometric reader is sent to the smartphone App via the USB port, and converted into sAA concentration based on a calibration curve. Using our method, sAA in real human sample is quantitatively analyzed within 5 min. The results are in good agreement with that obtained using a reference method, and correlated to psychological states of the subjects.

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Year:  2015        PMID: 26415134     DOI: 10.1039/c5an01664a

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  7 in total

Review 1.  Wearable biosensors for healthcare monitoring.

Authors:  Jayoung Kim; Alan S Campbell; Berta Esteban-Fernández de Ávila; Joseph Wang
Journal:  Nat Biotechnol       Date:  2019-02-25       Impact factor: 54.908

2.  Biosensors for Personal Mobile Health: A System Architecture Perspective.

Authors:  Siddarth Arumugam; David A M Colburn; Samuel K Sia
Journal:  Adv Mater Technol       Date:  2019-11-20

Review 3.  Saliva Liquid Biopsy for Point-of-Care Applications.

Authors:  Katri Aro; Fang Wei; David T Wong; Michael Tu
Journal:  Front Public Health       Date:  2017-04-11

4.  A Surface Plasmon Resonance Plastic Optical Fiber Biosensor for the Detection of Pancreatic Amylase in Surgically-Placed Drain Effluent.

Authors:  Laura Pasquardini; Nunzio Cennamo; Giuseppe Malleo; Lia Vanzetti; Luigi Zeni; Deborah Bonamini; Roberto Salvia; Claudio Bassi; Alessandra Maria Bossi
Journal:  Sensors (Basel)       Date:  2021-05-15       Impact factor: 3.576

Review 5.  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

Review 6.  Correlations Between Objective Behavioral Features Collected From Mobile and Wearable Devices and Depressive Mood Symptoms in Patients With Affective Disorders: Systematic Review.

Authors:  Darius A Rohani; Maria Faurholt-Jepsen; Lars Vedel Kessing; Jakob E Bardram
Journal:  JMIR Mhealth Uhealth       Date:  2018-08-13       Impact factor: 4.773

Review 7.  From Point-of-Care Testing to eHealth Diagnostic Devices (eDiagnostics).

Authors:  Dionysios C Christodouleas; Balwinder Kaur; Parthena Chorti
Journal:  ACS Cent Sci       Date:  2018-11-20       Impact factor: 14.553

  7 in total

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