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
Sign In
Advertise with Us
PURITAN MEDICAL

Download Mobile App





Coronavirus Screening Platform Uses Machine Learning Algorithms to Detect SARS-CoV-2 Structural Fingerprint in Real Time

By LabMedica International staff writers
Posted on 27 Aug 2020
Print article
Illustration
Illustration
A screening platform that can identify biological threats by shining a laser onto the sample and interpreting the light that scatters is being used to develop a coronavirus screening platform, according to a report by BioSpace.

Botanisol Analytics (Phoenix, AZ, USA) is developing the screening platform that can identify biological threats, including contaminants and pathogens (such as the novel coronavirus), by shining a laser onto the sample. The screener uses next generation Raman spectroscopy, which generates a unique structural ‘fingerprint’ for each molecule or even entire structures, such as whole cells or viruses. The laser interacts with the molecules in the sample, which absorb its energy and emit a higher or lower energy light. A detector collects the new light wavelengths that are emitted and turns them into digital input. A computer interprets the results to produce a Raman spectrum, the unique patterns of scattered light wavelengths represented as peaks. Artificial intelligence can then scan a spectrum to check for any unique patterns related to specific molecules or pathogens.

Using machine learning algorithms, the technology can identify salient differences between healthy and infected cells which could be present in an upper respiratory or saliva sample. As a coronavirus screener, the test output would be if someone is at low or high risk of carrying the virus, allowing people to be quickly grouped for release (low risk) or triage for further testing (high risk), according to BioSpace. The device could screen people for COVID-19 in real time, providing answers about what is in a sample in a matter of minutes. Botanisol’s ‘next generation’ system is also extremely sensitive and is able to detect something in the sample down to parts per million (ppm) or trillion (ppt), thanks to the use of a new type of laser that produces the smallest wavelength able to be transmitted through air under normal conditions, according to the BioSpace report.

“It’s a real-time snapshot of all the molecules in a patient’s sample,” David Talenfeld, JD, MBA, MGM, CEO of Botanisol, told BioSpace. “The device can be calibrated to detect a chemical or pathogen, like coronavirus, whose spectral ‘fingerprint’ is known."

“In the future you could take samples from people getting off of an airplane, quickly screening everyone,” added Talenfeld. “The people identified as ‘high risk’ for carrying coronavirus can be diverted to a special waiting area for further testing.”

Related Links:
Botanisol Analytics

Platinum Member
COVID-19 Rapid Test
OSOM COVID-19 Antigen Rapid Test
Magnetic Bead Separation Modules
MAG and HEATMAG
POCT Fluorescent Immunoassay Analyzer
FIA Go
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)

Print article

Channels

Clinical Chemistry

view channel
Image: The 3D printed miniature ionizer is a key component of a mass spectrometer (Photo courtesy of MIT)

3D Printed Point-Of-Care Mass Spectrometer Outperforms State-Of-The-Art Models

Mass spectrometry is a precise technique for identifying the chemical components of a sample and has significant potential for monitoring chronic illness health states, such as measuring hormone levels... Read more

Molecular Diagnostics

view channel
Image: A blood test could predict lung cancer risk more accurately and reduce the number of required scans (Photo courtesy of 123RF)

Blood Test Accurately Predicts Lung Cancer Risk and Reduces Need for Scans

Lung cancer is extremely hard to detect early due to the limitations of current screening technologies, which are costly, sometimes inaccurate, and less commonly endorsed by healthcare professionals compared... Read more

Hematology

view channel
Image: The CAPILLARYS 3 DBS devices have received U.S. FDA 510(k) clearance (Photo courtesy of Sebia)

Next Generation Instrument Screens for Hemoglobin Disorders in Newborns

Hemoglobinopathies, the most widespread inherited conditions globally, affect about 7% of the population as carriers, with 2.7% of newborns being born with these conditions. The spectrum of clinical manifestations... Read more

Immunology

view channel
Image: Exosomes can be a promising biomarker for cellular rejection after organ transplant (Photo courtesy of Nicolas Primola/Shutterstock)

Diagnostic Blood Test for Cellular Rejection after Organ Transplant Could Replace Surgical Biopsies

Transplanted organs constantly face the risk of being rejected by the recipient's immune system which differentiates self from non-self using T cells and B cells. T cells are commonly associated with acute... Read more

Microbiology

view channel
Image: The real-time multiplex PCR test is set to revolutionize early sepsis detection (Photo courtesy of Shutterstock)

1 Hour, Direct-From-Blood Multiplex PCR Test Identifies 95% of Sepsis-Causing Pathogens

Sepsis contributes to one in every three hospital deaths in the US, and globally, septic shock carries a mortality rate of 30-40%. Diagnosing sepsis early is challenging due to its non-specific symptoms... Read more

Pathology

view channel
Image: The QIAseq xHYB Mycobacterium tuberculosis Panel uses next-generation sequencing (Photo courtesy of 123RF)

New Mycobacterium Tuberculosis Panel to Support Real-Time Surveillance and Combat Antimicrobial Resistance

Tuberculosis (TB), the leading cause of death from an infectious disease globally, is a contagious bacterial infection that primarily spreads through the coughing of patients with active pulmonary TB.... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.