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
SARS‑CoV‑2/Flu A/Flu B/RSV Sample-To-Answer Test
SARS‑CoV‑2/Flu A/Flu B/RSV Cartridge (CE-IVD)
βeta-Hydroxybutyrate Reagent
β-Hydroxybutyrate LiquiColor®
New
Connectivity Solution
EKF Link
Automated Immunoassay Analyzer
SuperFlex™

Channels

Molecular Diagnostics

view channel
Image Credit: Adobe Stock

AI in Cancer Diagnosis and Molecular Testing Takes Center Stage at AMP 2026

Artificial intelligence (AI) is increasingly being integrated into molecular diagnostics, offering new approaches to interpreting complex genetic information, classifying cancers, and optimizing laboratory testing.... Read more

Immunology

view channel
Image: The panel expands Cepheid’s respiratory testing portfolio on the GeneXpert platform, offering laboratories greater flexibility in selecting tests based on clinical needs. (Photo courtesy of Cepheid)

Multiplex PCR Test Gains CE Marking to Support Respiratory Infection Diagnosis

Acute respiratory infections often present with overlapping symptoms, making it difficult to distinguish between viral and bacterial causes. Seasonal surges of influenza-like illness in Europe further... Read more

Microbiology

view channel
Image: Graphical Abstract (Matthew A Butzler, Jennifer L Reed, Alaina M Olson, et al. Development of a Rapid Automated Point-of-Care Test for Mycobacterium tuberculosis Detection from Tongue Swabs and Sputum Specimens on the DASH® Rapid PCR System, Open Forum Infectious Diseases, 2026; https://doi.org/10.1093/ofid/ofag706)

Rapid Point-of-Care Test Detects Tuberculosis from Tongue Swab and Sputum

Tuberculosis remains a major infectious disease challenge, particularly in regions with limited access to diagnostic testing and treatment. Diagnosis can be time-consuming, and collecting sputum samples... Read more

Pathology

view channel
Image Credit: Adobe Stock

New Training Approach Helps AI Distinguish Neighboring Cells in Tissue

Artificial intelligence (AI) can assist with identifying cells in digital pathology images, but densely packed tissue remains difficult to analyze. Neighboring cells may be merged, counted twice, or missed,... Read more

Industry

view channel
Image: The TOMR trial uses Signatera-guided MRD testing to identify high-risk patients for curative-intent treatment.

Natera and Incyte Collaborate on MRD-Guided Colorectal Cancer Treatment Study

Natera (Austin, TX, USA) has entered into a clinical collaboration with Incyte (Wilmington, DE, USA) for a Phase II study evaluating molecular residual disease (MRD)-guided treatment in colorectal cancer.... Read more