• Low-cost, accurate COVID-19 antibody det

    From ScienceDaily@1337:3/111 to All on Wed Aug 19 21:30:32 2020
    Low-cost, accurate COVID-19 antibody detection platform
    Portable imager could massively increase testing across nation by end of
    2020

    Date:
    August 19, 2020
    Source:
    University of California - Irvine
    Summary:
    A robust, low-cost imaging platform utilizing lab-on-a-chip
    technology may be available for rapid coronavirus diagnostic and
    antibody testing throughout the nation by the end of the year.



    FULL STORY ==========================================================================
    A robust, low-cost imaging platform utilizing lab-on-a-chip technology
    created by University of California, Irvine scientists may be available
    for rapid coronavirus diagnostic and antibody testing throughout the
    nation by the end of the year.


    ==========================================================================
    The UCI system can go a long way toward the deployment of a vaccine for
    COVID- 19 and toward reopening the economy, as both require widespread
    testing for the virus and its antibodies. So far, antibody testing in the
    U.S. has been too inaccurate or expensive to reach the necessary numbers.

    But UCI investigators Weian Zhao, Per Niklas Hedde, Enrico Gratton and
    Philip Felgner believe that their new technology can help accelerate
    the testing process quickly and affordably. Their discovery appears
    in the journal Lab on a Chip, which is published by the Royal Society
    of Chemistry.

    "We need to test millions of people a day, and we're very far from
    that," said Hedde, a project scientist in pharmaceutical sciences and
    the study's lead author. "This accurate testing platform enables public
    health officers to implement individualized mitigation strategies
    that are needed to safely reopen the country and economy." How it
    works Using blood from a finger prick, the UCI test probes hundreds
    of antibody responses to 14 respiratory viruses, including SARS-CoV-2,
    in a mere two to four hours. Identifying responses to viral infections
    with symptoms similar to those of COVID-19 will keep hospitals clear of patients with standard colds and flus.



    ==========================================================================
    The results are printed on a low-cost imaging platform. The TinyArray
    imager combines a 3D-printed prototype with an off-the-shelf LED
    and a small 5- megapixel camera to find markers for many antibodies simultaneously. This ensures accuracy equal to that of expensive imaging systems but makes the platform portable enough to deploy anywhere --
    at a cost of only $200.

    The same device can also process the results of commonly used nose swab
    tests for SARS-CoV-2 so that patients can be tested for COVID-19 and
    its antibodies on a single platform.

    Currently, most antibody tests only check for one or two antigens,
    the foreign substances that cause the body to produce antibodies.

    "A month or two ago, testing was kind of regarded as the Wild West,"
    said Zhao, a professor of pharmaceutical sciences, adding that most
    SARS-CoV-2 antibody tests are "just not accurate." Systems that test
    for the full range of antibodies necessary for reliable results require
    imaging machines that cost $10,000 to $100,000 and are too bulky for
    widespread use. Areas without the resources to acquire one of these
    machines have to send their samples to external labs for testing,
    meaning that results take days instead of hours.



    ==========================================================================
    Big impact Large-scale testing will determine what percentage of the
    population had COVID- 19 but never showed symptoms, which will have a
    big impact on public health and reopening decisions.

    "What if it turns out that a larger percentage of the people in a
    community have already contracted the virus?" Zhao said. "This means
    you are closer to accomplishing herd immunity." And understanding what antibodies are produced and how long they last will be key in developing
    an effective vaccine and administering the right dosage. This may be
    critical for years to come if the virus mutates, requiring updates much
    like yearly flu vaccinations.

    The UCI team has already completed 5,000 tests in Orange County, and the
    final goal is to test 20,000 samples per unit a day. The researchers
    are partnering with UCI startups Velox Biosystems Inc. and Nanommune
    Inc. to scale up production. They expect that the TinyArray imager will
    be ready to deploy across the U.S. by the end of 2020 and are working
    with scientists in Uruguay, Russia and Thailand to develop similar
    systems for their nations.

    "This would be great for a low-income country," Hedde said. "Because the device's materials are cheap and easy to obtain, the platform is easy
    to manufacture and use in low-resource areas, making testing accessible
    on a world scale." Aarti Jain, Rie Nakajima, Rafael Ramiro de Assis,
    Trevor Pearce, Algis Jasinskas and Saahir Khan of UCI along with Timothy
    Abram and Melody Toosky of Velox Biosystems participated in the study,
    which was supported by the National Institutes of Health (grants P41
    GM103540 and R01 AI117061) and a UCI CRAFT- COVID grant.


    ========================================================================== Story Source: Materials provided by
    University_of_California_-_Irvine. Note: Content may be edited for style
    and length.


    ========================================================================== Journal Reference:
    1. Per Niklas Hedde, Timothy J. Abram, Aarti Jain, Rie Nakajima, Rafael
    Ramiro de Assis, Trevor Pearce, Algis Jasinskas, Melody N. Toosky,
    Saahir Khan, Philip L. Felgner, Enrico Gratton, Weian Zhao. A
    modular microarray imaging system for highly specific COVID-19
    antibody testing. Lab on a Chip, 2020; DOI: 10.1039/D0LC00547A ==========================================================================

    Link to news story: https://www.sciencedaily.com/releases/2020/08/200819155718.htm

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