By detecting smallest virus, researchers open possibilities for early disease detection
- Date:
- August 28, 2012
- Source:
- Polytechnic Institute of New York University
- Summary:
- Researchers have created an ultra-sensitive biosensor capable of identifying the smallest single virus particles in solution, an advance that may revolutionize early disease detection in a point-of-care setting and shrink test result wait times from weeks to minutes.
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Researchers at Polytechnic Institute of New York University (NYU-Poly) have created an ultra-sensitive biosensor capable of identifying the smallest single virus particles in solution, an advance that may revolutionize early disease detection in a point-of-care setting and shrink test result wait times from weeks to minutes.
Stephen Arnold, university professor of applied physics and member of the Othmer-Jacobs Department of Chemical and Biomolecular Engineering, and researchers of NYU-Poly's MicroParticle PhotoPhysics Laboratory for BioPhotonics (MP3L) reported their findings in the most recent issue of Applied Physics Letters, published by the American Institute of Physics.
Their technique is a major advance in a series of experiments to devise a diagnostic method sensitive enough to detect and size a single virus particle in a doctor's office or field clinic, without the need for special assay preparations or conditions. Normally, such assessment requires the virus to be measured in the vacuum environment of an electron microscope, which adds time, complexity and considerable cost.
Instead, the researchers were able to detect the smallest RNA virus particle MS2, with a mass of only 6 attograms, by amplifying the sensitivity of a biosensor. Within it, light from a tunable laser is guided down a fiber optic cable, where its intensity is measured by a detector on the far end. A small glass sphere is brought into contact with the fiber, diverting the light's path and causing it to orbit within the sphere. This change is recorded as a resonant dip in the transmission through the fiber. When a viral particle makes contact with the sphere, it changes the sphere's properties, resulting in a detectable shift in resonance frequency.
The smaller the particle, the harder it is to record these changes. Viruses such as influenza are fairly large and have been successfully detected with similar sensors in the past. But many viruses such as Polio are far smaller, as are antibody proteins, and these require increased sensitivity.
Arnold and his co-researchers achieved this by attaching gold nano-receptors to the resonant microsphere. These receptors are plasmonic, and thus enhance the electric field nearby, making even small disturbances easier to detect. Each gold "hot spot" is treated with specific molecules to which proteins or viruses are attracted and bind.
Arnold explained that the inspiration for this breakthrough technique came to him during a concert by violinist Itzhak Perlman: "I was watching Perlman play, and suddenly I wondered what would happen if a particle of dust landed on one of the strings. The frequency would change slightly, but the shift would be imperceptible. Then I wondered what if something sticky was on the string that would only respond to certain kinds of dust?"
In experiments, the researchers successfully detected the smallest RNA virus in solution, and they are now training their sights on detecting single proteins, which would represent a major step toward early disease detection.
"When the body encounters a foreign agent, it responds by producing massive quantities of antibody proteins, which outnumber the virus. If we can identify and detect these single proteins, we can diagnose the presence of a virus far earlier, speeding treatment," Arnold said. "This also opens up a new realm of possibilities in proteomics," he said, referring to the study of proteins. "All cancers generate markers, and if we have a test that can detect a single marker at the protein level, it doesn't get more sensitive than that."
This patent-pending technology, co authored with postdoctoral fellow Siyka Shopova and graduate student Raaj Rajmangal, is ultimately designed for a point-of-care device capable of detecting viruses or disease markers in blood, saliva or urine. Testing for commercial applications is already under way.
The sensor itself, called a Whispering Gallery-Mode Biosensor, is unique to Arnold's work. Its name derives from the famous Whispering Gallery in the dome of St. Paul's Cathedral in London. Much the way its unique acoustics allow a whisper to be heard anywhere within the circular gallery, light traveling within the glass sphere of the biosensor orbits many times, ensuring nothing on the surface is missed.
The technique was pioneered by NYU-Poly MP3L post-doctoral researchers, graduate and undergraduate students, along with Stephen Holler, NYU-Poly alum and now an assistant professor of physics at Fordham University. A technology entrepreneur, Holler founded NovaWave Technologies, a chemical sensor company, at one of NYU-Poly's business incubators. Thermo Fisher Scientific, one of the world's leading providers of scientific and laboratory equipment, acquired NovaWave in 2010. Other authors of the paper are Venkata Dantham, NYU-Poly postdoctoral fellow; Vasily Kolchenko, now professor at New York City College of Technology's Department of Biological Sciences; and Zhenmao Wan, currently a graduate student in the Department of Physics at Hunter College of CUNY.
This research was originally supported by provost seed funds from the New York University (NYU) School of Arts and Sciences, in a grant jointly awarded to Arnold and NYU Professor of Physics David Grier. The National Science Foundation provided additional funding.
Story Source:
Materials provided by Polytechnic Institute of New York University. Note: Content may be edited for style and length.
Journal Reference:
- V. R. Dantham, S. Holler, V. Kolchenko, Z. Wan, S. Arnold. Taking whispering gallery-mode single virus detection and sizing to the limit. Applied Physics Letters, 2012; 101 (4): 043704 DOI: 10.1063/1.4739473
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