Covid 19: Scientists develop a novel method to detect single virus particles

Covid 19: Scientists develop a novel method to detect single virus particles

TOKYO (Reuters) – Scientists have developed a new way to identify single virus particles based on recent changes in electricity passing through ultrasonic pores, which they claim could lead to faster Covid 19 tests.
The study, published in the journal ACS Sensors, demonstrated a new system for identifying single virus particles using a trained algorithm to detect current changes in the passage of silicon nanoparticles. Has gone
According to scientists, this work, including those from Osaka University in Japan, could result in faster and more accurate screening tests for diseases such as Covid-19 and influenza.
In the new method, the scientists reported that a single layer of compound silicon nitride contained small nanopores as thick as 50 nanometers (nm).
This layer is suspended on the silicon wafer, he added, adding that when a voltage difference is applied to the solution on both sides of the wafer, the ions travel through the nanopores in a process called electrophoresis.
According to the study, the movement of ions can be dependent on the current current, and when a viral particle enters the nanoparticle, it prevents some of the ions from passing through, causing a temporary dip in the current.
Scientists say that each particle reflects the physical characteristics of the particle, such as volume, surface compensation and shape, adding that the measure could be used to identify the type of virus.
Using artificial intelligence (AI), the research team developed a classification algorithm trained with the signals of known viruses to identify new patterns.
The scientists said that the computer could distinguish the differences in the electric current waves, which could not be identified by the human eye, enabling the highly accurate classification of the virus.
In addition to the corona virus, he said, the system was tested on pathogens such as adenovirus, influenza A and influenza B.
“By combining single-particle nanopur sensing with AI, we have been able to obtain highly accurate identification of more than one viral species,” said Makuso Sonsui, senior author of the study at Osaka University.
Researchers believe that corona viruses are particularly well-suited to this technique because their prominent external proteins can even allow different strains to be classified separately.
“This work will help develop a virus-related test kit that improves traditional viral testing methods,” said Tomoji Kaui, another co-author of the study.
Compared to other high-speed tests such as PCR or antibody-based screens, the researchers said the new method is much faster and does not require expensive reagents.
He believes the new technology could lead to better diagnostic tests for emerging viruses that cause infectious diseases such as CoV-19.

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