via Pennsylvania State University
A method of highly accurate and sensitive virus identification using Raman spectroscopy, a portable virus capture device and machine learning could enable real-time virus detection and identification to help battle future pandemics, according to a team of researchers led by Penn State.
“This virus detection method is label-free and not aimed at any specific virus, thus enabling us to identify potential new strains of viruses,” said Shengxi Huang, assistant professor of electrical engineering and biomedical engineering and co-author of the study that appeared today (June 2) in the Proceedings of the National Academy of Sciences. “It is also rapid, so suitable for fast screening in crowded public spaces. In addition, the rich Raman features together with machine learning analysis enable a deeper understanding of the virus structures.”
Raman spectroscopy detects unique vibrations in molecules by picking up shifts when a laser light beam induces these vibrations. To capture the viruses, a tool known as a microfluidic device would be used to trap viruses between forests of aligned carbon nanotubes.
Microfluidic devices use very small amounts of body fluids on a microchip to do medical and laboratory tests. Such a device could use virus cultures, saliva, nasal washes, or even exhaled breath, including samples gathered on-site during an outbreak. The carbon nanotubes forests would filter out any foreign substance or background molecules from the host or surrounding air that could make it more difficult to get an accurate reading.
“The fact that we’re using carbon nanotubes to enrich samples has been very useful because that way we are enriching the sample of viruses and eliminating other bionoise that you don’t want to have when looking for a virus,” said Mauricio Terrones, Evan Pugh University Professor and The Verne M. Willaman Professor of Physics and study co-author.
Once the samples are captured and the Raman microscope examines them, then the machine learning aspect comes into play. The researchers gathered the Raman spectra of three different categories of viruses: human respiratory viruses, avian viruses, and enteroviruses. This data is then used to train a machine learning model, a convolutional neural network, that identifies viruses.
“After the machine learning model is trained, then given an unknown Raman spectrum of an unknown virus, our machine learning model can automatically recognize what type of virus It is,” said Sharon Huang, associate professor of information sciences and technology and corresponding author of the study. “This includes, such as with influenza, recognizing what type it is, whether it is influenza A or influenza B, and the model can even recognize subtypes of viruses, such as H1N1 or H3N2.”
The benefits of such a device are many, according to the researchers, especially in a fast-moving outbreak.
“By providing a rapid and label-free virus detection device for virus surveillance, this approach would enable public health officials to more closely monitor the evolution of a virus,” said Yin-Ting Yeh, assistant research professor in the Eberly College of Science and co-author of the study.
Along with researchers from Penn State, George Washington University and Johns Hopkins University, researchers from the National Institutes of Health (NIH) also participated in the study. The study team’s next steps will include collecting more Raman spectra of different human and animal viruses, including DNA viruses to grow the virus spectra database. This would enable a more extensive training of the machine learning models and enhance their generalizability and ability to detect new strains of viruses. In addition, they will work to improve the Raman enhancement in the device to enable better signal intensities and lower bionoise levels.
“While using machine learning for Raman signal processing is not novel in itself,” said Elodie Ghedin, senior investigator, system genomics section, NIH and co-author in the study. “What makes this approach novel is the combination of a portable virus capture device, the collection of Raman spectra from the captured viruses on this device, and the rapid and accurate classification of the viruses using a machine learning model. This virus detection in real-time approach is particularly timely for tackling current and future outbreaks.”
The Latest Updates from Bing News & Google News
Go deeper with Bing News on:
Virus detection device
- These Sinister Apps On Google Play Are Laced With Android Banking Malware, Delete ASAP
Google is engaged in a never ending game of cat and mouse with threat actors on its Play Store who employ different techniques to sneak malware-ridden apps onto the app store. We fairly regularly ...
- New DawDropper Malware Targeting Android Devices via Play Store
According to Trend Micro researchers, the DawDropper aims at stealing user data, in particular from banking apps on infected Android devices. Trend Micro security researchers have identified over a ...
- Now, a device clipped with smartphone can help detect Zika virus
Zika virus is primarily transmitted through Aedes aegypti mosquitoes. Although the disease is largely asymptomatic or results in mild symptoms in adults, it causes developmental disorders in newborn ...
- New instrument can be clipped on to a smartphone to rapidly test for Zika virus in blood
As seen with the COVID-19 pandemic, detection methods that are rapid, simple, accurate, and sensitive are vital for detecting viral pathogens and for controlling the spread of infectious diseases.
- Scientists discover clip-on to detect Zika Virus via Smartphone
According to a new study scientists have developed an instrument that can be clipped onto a smartphone to rapidly test for Zika virus in a single droplet of bl ...
Go deeper with Google Headlines on:
Virus detection device
Go deeper with Bing News on:
Portable virus capture device
- Face Mask Deactivates SARS-CoV-2 Spike Protein
While vaccines have played a huge role in this, basic devices that help ... coronavirus transmission by virus protein deactivation and enhanced aerosol particle capture,” said the researchers.
- Researchers invent accurate rapid COVID-19 antibody level test
A research team led by City University of Hong Kong (CityU) recently invented an accurate rapid-testing device that can quantify ... of immune protection against virus infection, but it varies ...
- BuzzBGone: Do Bug Zappers Work? Consumer Report Released
Summers are here. People wait for the summers desperately to enjoy going to beaches, parks, or vacations and having some fun. The summer is undoubtedly a season of relaxation from work and fun with fr ...
- The Best Air Purifier
However, in the US air purifiers cannot be marketed as medical devices ... capture the coronavirus? Air purifiers with HEPA filtration capture particles the size of (and far smaller than) the ...
- RS Recommends: The Best HEPA Air Purifiers for Smoke, Germs and Viruses
Looking for an easy and effective way to eliminate virus-causing germs ... not marketed as a Covid-killing device, the company says the air purifier is able to capture extremely small viruses ...