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





New Technology Pulls Elusive COVID-19 Marker from Blood to Better Measure Disease Severity

By LabMedica International staff writers
Posted on 02 Nov 2020
Researchers have created a new technology that can detect an elusive protein bio-marker from human blood to measure the severity of COVID-19.

McMaster University (Hamilton, ON, Canada) in collaboration with SQI Diagnostics, Inc. More...
(Toronto, ON, Canada) have created a surface that repels every other element of human blood except critical cytokine biomarkers like Interleukin-6 (IL-6), enabling timely and clear detection of critical "cytokine storm" progress of COVID-19 in individual patients. The same bio-sensing technology can also be used to measure disease severity in patients with influenza or other acute respiratory distress conditions, as well as other infectious and non-infectious diseases, including some cancers.

The innovative technology is a proprietary surface coating that repels every component of blood and other complex fluids, while containing microscopic molecules that attract IL-6, making it possible to detect and measure IL-6 with unprecedented accuracy and sensitivity, at concentrations as low as 0.5 picograms per mL - or one half of one trillionth of a gram per mL. SQI and McMaster are working on a process to adapt the technology into SQI's existing testing platforms, with the goal of moving it into use as soon as possible.

"There are so many possibilities for these smart surfaces. We can create them to repel everything, or we can design them to interact in many beneficial ways," said Dr. Tohid Didar, Professor of Mechanical Engineering at McMaster. "In this application, we have designed it to detect only the one bio-marker IL-6, and this allows us to separate it from everything else in a very complex environment, enabling clear quantitative detection of its presence."

"Our collaboration with McMaster University has led to an innovative pathway to a potentially more efficient and effective manufacturing design that strengthens SQI's ability to provide extremely accurate diagnostics for testing in the COVID-19 pandemic, as well as other critical conditions," added Dr. Eric Brouwer, Chief Scientific Officer of SQI Diagnostics.

Related Links:
SQI Diagnostics, Inc.
McMaster University



Gold Member
SARS-CoV-2 Reactive & Non-Reactive Controls
Qnostics SARS-CoV-2 Typing
Online QC Software
Acusera 24•7
Benchtop Thermomixer
Biometra TS1 ThermoShaker
New
Automated Coagulation Analyzer
Hemolumi H6
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

Molecular Diagnostics

view channel
Image Credit: Shutterstock

Ultrasensitive ctDNA Assay Detects MRD in Breast, Colorectal, Renal Cancers

Minimal residual disease testing is increasingly used to guide adjuvant therapy and surveillance in solid tumors, but detecting very low levels of circulating tumor DNA remains challenging in routine practice.... Read more

Microbiology

view channel
Image: New EMBL-led research identifies a robust gut microbiome signature linked to colorectal cancer, consistent across populations, sequencing methods & age groups, and tied to lower dietary fiber intake. (Photo courtesy of Daniela Velasco/EMBL)

Machine Learning Reveals Consistent Gut Microbiome Patterns in Colorectal Cancer

Colorectal cancer has been repeatedly linked to alterations in the gut microbiome, yet findings have often varied across small, heterogeneous studies. Reproducibility has been limited by differing sequencing... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.