Nanotechnology research: Faster, cheaper COVID tests

Date:
April 7, 2022
Source:
University of Georgia
Summary:
A nanotechnology research group entered the race to develop a
rapid test for COVID-19 in August 2020, running experiments on
a new sensor for an American manufacturing company. The group
tested nanotechnology-based optical sensors designed for COVID-19
detection and saw the potential for their home-grown technology.



FULL STORY ==========================================================================
A University of Georgia nanotechnology research groupentered the race to develop a rapid test for COVID-19 in August 2020, running experiments
on a new sensor for an American manufacturing company. The group, led
by Yiping Zhao and Ralph Tripp, tested nanotechnology-based optical
sensors designed for COVID-19 detection and saw the potential for their home-grown technology.


==========================================================================
In March 2022, the group filed a patent application and published
its first paper on rapid detection of COVID-19, using a localized
surface plasmon resonance (LSPR) virus sensor, developed based on human angiotensin-converting enzyme 2 protein (ACE2) functionalized silver nanotriangle arrays.

The sensor has high sensitivity and specificity to the spike protein
RBD of SARS-CoV-2 as well as human coronavirus NL63.

"Right now, we already have rapid antigen test kits available on the
market, though the big issue continues to be the high rate of false
positives, around 60%," said Yanjun Yang, doctoral student in the UGA
College of Engineering and lead author on the new paper.

"Our technology, also in a rapid kit but using a spectrometer to do the detection, is much more accurate." The swab-based rapid test developed
by the Zhao group uses a UV spectrometer for spike protein detection. The
test will cover all COVID-19 variants, as well as any future variants.

"The method we developed shall have a much better sensing performance
than the rapid test kits, very close to the PCR tests currently in use,"
said Zhao, Distinguished Research Professor in the Franklin College of
Arts and Sciences department of physics and astronomy. "The setup and
the operation of the sensor is very simple, and the test time essentially
will be less than 10 minutes." Zhao's lab is developing a detector based
on this work within $10 and the sensor will link to a smartphone app.

"The LSPR sensor has several advantages in rapid diagnostics of SARS-CoV-2 (CoV2). Highly sensitive, specific, and able to detect CoV2 at picomolar concentrations in saliva, it's rapidity at less than 20 minutes is as
good or better than current diagnostic platforms including RT-qPCR,
also known as the 'gold standard'," said Tripp, professor and GRA Chair
in Vaccine and Therapeutic Development in the College of Veterinary
Medicine department of infectious diseases and co-author on the study. "In addition, this method of detection is highly reproducible. This platform
is a significant leap forward in diagnostics." "Working with biologists
and developing this technology was a great experience," Yang said. "I've
only done research in the lab, so I never knew how to make something
become a product, so it's a really good opportunity to understand how
we can tie our work to the practical issues and make it commercialized."
The study is published in Sensors and Actuators B: Chemical

========================================================================== Story Source: Materials provided by University_of_Georgia. Original
written by Alan Flurry.

Note: Content may be edited for style and length.


========================================================================== Journal Reference:
1. Yanjun Yang, Jackelyn Murray, James Haverstick, Ralph A. Tripp,
Yiping
Zhao. Silver nanotriangle array based LSPR sensor for rapid
coronavirus detection. Sensors and Actuators B: Chemical, 2022;
359: 131604 DOI: 10.1016/j.snb.2022.131604 ==========================================================================

Link to news story: https://www.sciencedaily.com/releases/2022/04/220407121554.htm

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