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.

LabMedica

Download Mobile App
Recent News Expo Clinical Chem. Molecular Diagnostics Hematology Immunology Microbiology Pathology Technology Industry Focus

New Nanotechnology-Based Diagnostic System Detects COVID-19 Within 10 Seconds

By LabMedica International staff writers
Posted on 05 Jan 2021
Image: Diagnovir (Photo courtesy of Bilkent University)
Image: Diagnovir (Photo courtesy of Bilkent University)
A newly developed COVID-19 diagnostic system uses nanotechnology to provide results in 10 seconds with 99% accuracy.

A team of researchers from the Bilkent University (Ankara, Turkey) has developed an “in vitro” virus diagnosis system that can be used to detect the SARS-CoV-2 virus. The new nanotechnology-based diagnostic system, called Diagnovir, can detect the COVID-19 virus within 10 seconds with a swab taken from the mouth. It is an optically based diagnostic and identification system that changes the color of the glow in the presence of the virus, thus detecting viruses with high selectivity.

In this system, pathogens are detected within 10 seconds by dynamically receiving a fluorescent signal via a pathogen detection chip developed specifically for a biosensor device. After the sample is taken from the patient, it is mixed with a special solution, dropped on the pathogen detection chip, and if there is a pathogen in the environment by the biosensor device, the presence of pathogens with high accuracy is detected by taking the fluorescent signal.

Unlike the commonly used PCR tests, the system is not based on sample replication, but on detecting the presence or absence of the virus with advanced optical methods. In the system, optical and electronic modules that provide both precise virus detection and high selectivity in detection, as well as high-level biotechnology and material science knowledge are used. The system has shown 99% success in virus detection in pre-clinical studies conducted so far.

Related Links:
Bilkent University

Gold Member
Flu SARS-CoV-2 Combo Test
OSOM® Flu SARS-CoV-2 Combo Test
βeta-Hydroxybutyrate Reagent
β-Hydroxybutyrate LiquiColor®
New
Gold Member
Fully-auto Specific Protein (Nephelometry) Analyzer
PA240
Drug Testing Assays
Atellica DT 250 Analyzer

Channels

Molecular Diagnostics

view channel
Image: Figure 1 from Lim J, et al. “Amplification of RNA for Identification of Zika and HCV in Whole Blood.” Science Advances, 2026. https://doi.org/10.1126/sciadv.aeb6129. Licensed under CC BY-NC 4.0. Created in BioRender: https://BioRender.com/mr4p5qy.

Portable Test Detects Zika and Hepatitis C RNA from Whole Blood

Timely detection of Zika virus and hepatitis C is essential, but conventional testing often relies on centralized laboratories and complex sample processing. In regions with limited medical infrastructure,... Read more

Hematology

view channel
Image: These new ANC reference ranges can help clinicians more accurately interpret neutrophil counts, reduce unnecessary testing and treatment interruptions, and help support more equitable care. (Photo courtesy of the American Society of Hematology)

New Reference Ranges Clarify Normal Neutrophil Counts in Duffy-Null Patients

Duffy-null status is a common genetic trait associated with naturally lower circulating white blood cell counts. It affects about 10% of the U.S. population and more than 66% of people with African or... Read more

Immunology

view channel
Image: Melioidosis is a serious, sometimes fatal infection caused by Burkholderia pseudomallei, a bacterium found in tropical and subtropical soil and surface water. (Image Credit: Adobe Stock)

Antibody Testing Informs Melioidosis Diagnosis and Surveillance in Emerging Regions

Melioidosis is a serious and sometimes fatal infection caused by the soil- and water-dwelling bacterium Burkholderia pseudomallei. People and animals can contract the disease through exposure to contaminated... Read more

Microbiology

view channel
Image: VITEK PRO combines microbial identification and antimicrobial susceptibility testing on a single platform to support routine microbiology workflows and antibiotic selection. (Photo courtesy of bioMérieux)

Automated Microbial Identification and Susceptibility System Gains FDA Clearance

Antimicrobial resistance (AMR) is a leading global public health threat, causing an estimated 1.27 million deaths annually. The growing challenge of diagnosing and treating resistant infections highlights... Read more

Pathology

view channel
AI: Artificial intelligence; CNN: Convolutional neural networks; ResNet: Residual neural network. (Xing-hua Gao from The First Hospital of China Medical University, China Image Source Link: https://www.ovid.com/jnls/cmj/fulltext/10.1097/cm9.0000000000004154~deep-learning-based-computational-pathology-technologies)

Review Highlights Progress and Validation Needs for AI in Digital Pathology

Pathology remains the gold standard for disease diagnosis, but clinical laboratories face growing demands for faster, more reproducible diagnostic and prognostic workflows. Digital pathology based on whole-slide... Read more

Industry

view channel
Image: Siemens Healthineers has begun carving out its in vitro diagnostics business as a standalone company named Olyrian Diagnostics (Photo courtesy of Siemens Healthineers)

Siemens Healthineers Begins Transition Toward Standalone Olyrian Diagnostics Business

Siemens Healthineers has begun carving out its in vitro diagnostics business, which will operate as Olyrian Diagnostics. The new name will be introduced in stages as the business prepares to become a standalone... Read more