Laser induced breakdown spectroscopy for the rapid detection of SARS-CoV-2 immune response in plasma

K. Berlo; W. Xia; F. Zwillich; E. Gibbons; R. Gaudiuso; E. Ewusi-Annan; G. R. Chiklis; N. Melikechi

doi:10.1038/s41598-022-05509-z

Laser induced breakdown spectroscopy for the rapid detection of SARS-CoV-2 immune response in plasma

K. Berlo, W. Xia, F. Zwillich, E. Gibbons, R. Gaudiuso, E. Ewusi-Annan, G. R. Chiklis, N. Melikechi

Research output: Contribution to journal › Article › peer-review

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Abstract

As the SARS-CoV-2 pandemic persists, methods that can quickly and reliably confirm infection and immune status is extremely urgently and critically needed. In this contribution we show that combining laser induced breakdown spectroscopy (LIBS) with machine learning can distinguish plasma of donors who previously tested positive for SARS-CoV-2 by RT-PCR from those who did not, with up to 95% accuracy. The samples were also analyzed by LIBS-ICP-MS in tandem mode, implicating a depletion of Zn and Ba in samples of SARS-CoV-2 positive subjects that inversely correlate with CN lines in the LIBS spectra.

Original language	English (US)
Article number	1614
Journal	Scientific Reports
Volume	12
Issue number	1
DOIs	https://doi.org/10.1038/s41598-022-05509-z
State	Published - Dec 2022

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title = "Laser induced breakdown spectroscopy for the rapid detection of SARS-CoV-2 immune response in plasma",

abstract = "As the SARS-CoV-2 pandemic persists, methods that can quickly and reliably confirm infection and immune status is extremely urgently and critically needed. In this contribution we show that combining laser induced breakdown spectroscopy (LIBS) with machine learning can distinguish plasma of donors who previously tested positive for SARS-CoV-2 by RT-PCR from those who did not, with up to 95% accuracy. The samples were also analyzed by LIBS-ICP-MS in tandem mode, implicating a depletion of Zn and Ba in samples of SARS-CoV-2 positive subjects that inversely correlate with CN lines in the LIBS spectra.",

author = "K. Berlo and W. Xia and F. Zwillich and E. Gibbons and R. Gaudiuso and E. Ewusi-Annan and Chiklis, {G. R.} and N. Melikechi",

note = "Funding Information: KB was supported by a Wares Innovation Award, the LIBS instrument at McGill University was purchased through a Canada Foundation for Innovation JELF Grant (33815). WX is supported by the award COVID19-8900-06 from the Clinical Service Research and Development of the Veterans Affairs Office of Research and Development (WX) and RF1AG063913 from the NIH (WX). Publisher Copyright: {\textcopyright} 2022, The Author(s).",

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AU - Berlo, K.

AU - Xia, W.

AU - Zwillich, F.

AU - Gibbons, E.

AU - Gaudiuso, R.

AU - Ewusi-Annan, E.

AU - Chiklis, G. R.

AU - Melikechi, N.

N1 - Funding Information: KB was supported by a Wares Innovation Award, the LIBS instrument at McGill University was purchased through a Canada Foundation for Innovation JELF Grant (33815). WX is supported by the award COVID19-8900-06 from the Clinical Service Research and Development of the Veterans Affairs Office of Research and Development (WX) and RF1AG063913 from the NIH (WX). Publisher Copyright: © 2022, The Author(s).

PY - 2022/12

Y1 - 2022/12

N2 - As the SARS-CoV-2 pandemic persists, methods that can quickly and reliably confirm infection and immune status is extremely urgently and critically needed. In this contribution we show that combining laser induced breakdown spectroscopy (LIBS) with machine learning can distinguish plasma of donors who previously tested positive for SARS-CoV-2 by RT-PCR from those who did not, with up to 95% accuracy. The samples were also analyzed by LIBS-ICP-MS in tandem mode, implicating a depletion of Zn and Ba in samples of SARS-CoV-2 positive subjects that inversely correlate with CN lines in the LIBS spectra.

AB - As the SARS-CoV-2 pandemic persists, methods that can quickly and reliably confirm infection and immune status is extremely urgently and critically needed. In this contribution we show that combining laser induced breakdown spectroscopy (LIBS) with machine learning can distinguish plasma of donors who previously tested positive for SARS-CoV-2 by RT-PCR from those who did not, with up to 95% accuracy. The samples were also analyzed by LIBS-ICP-MS in tandem mode, implicating a depletion of Zn and Ba in samples of SARS-CoV-2 positive subjects that inversely correlate with CN lines in the LIBS spectra.

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Laser induced breakdown spectroscopy for the rapid detection of SARS-CoV-2 immune response in plasma

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