We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
RANDOX LABORATORIES

Download Mobile App




Autonomous Microchannel Analyzer Combines with Smartphone for Off-Site Disease Diagnostics

By LabMedica International staff writers
Posted on 18 Feb 2020
A novel microchannel capillary flow assay platform for detection of pathogenic microorganisms or other antigens combines with a smartphone for display, data transfer, storage, and analysis.

Investigators at the University of Cincinnati (OH, USA) built the microchannel capillary flow assay (MCFA) platform to perform chemiluminescence based ELISA tests with lyophilized chemiluminescent reagents. More...
The MCFA platform exploits the ultra-high sensitivity of chemiluminescent detection while eliminating the shortcomings associated with liquid reagent handling, control of assay sequence, and user intervention.

Functionally designed microchannels along with adequate hydrophilicity provided by the saliva sample produce a sequential flow of assay reagents, and the device autonomously performs the ultra-high sensitive chemiluminescence based ELISA. An attached smartphone for display, data transfer, storage and analysis, as well as the source of power, enabled the development of a point-of-care-testing (POCT) analyzer for disease diagnostics.

The current report described the use of the MCFA device for detection of the malaria biomarker PfHRP2. For this antigen a limit of detection (LOD) of eight nanograms per milliliter was achieved, which is sensitive enough to detect active malarial infection.

Furthermore, the investigators assert that the device can be adapted to diagnose other infectious diseases such as coronavirus, HIV or Lyme disease or innumerable other health conditions such as depression and anxiety.

"The performance is comparable to laboratory tests. The cost is cheaper. And it is user-friendly," said senior author Dr. Chong Ahn, distinguished university research professor at the University of Cincinnati. "We wanted to make it simple so anyone could use it without training or support. Right now it takes several hours or even days to diagnose in a lab, even when people are showing symptoms. The disease can spread."

The MCFA device was described in the January 27, 2020, online edition of the journal Microsystems & Nanoengineering.

Related Links:
University of Cincinnati


Gold Member
Clinical Chemistry Assay
Sorbitol Dehydrogenase (SDH)
Online QC Software
Acusera 24•7
Electrolyte Analyzer
BKE-B
POC Immunoassay Analyzer
Procise DX
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Clinical Chemistry

view channel
Image: Researchers use a novel immobilized liposome-bound gel beads method to measure CEC levels and their association with cardiovascular risks (Photo courtesy of Institute of Science Tokyo)

Simple Blood-Based Cholesterol Efflux Assay Identifies High-Risk Coronary Plaque Features

Unstable coronary plaques are difficult to identify before they trigger acute cardiovascular events. Standard high-density lipoprotein (HDL) measurements do not always capture how well HDL particles function... Read more

Pathology

view channel
Image: Overview of the uncertainty-aware lensfree computational pathology platform for automated HER2 assessment. A compact lensfree holographic imaging system captures diffraction patterns from immunohistochemically stained breast tissue samples, which are computationally reconstructed and analyzed using deep neural networks with Bayesian uncertainty quantification. (Photo courtesy of Ozcan Lab, UCLA)

Uncertainty-Aware AI Platform Supports Automated HER2 Assessment in Breast Cancer

Accurate assessment of human epidermal growth factor receptor 2 (HER2) is critical for breast cancer diagnosis and treatment selection, yet scoring variability and infrastructure requirements can complicate... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.