Author:
Berlo K.,Xia W.,Zwillich F.,Gibbons E.,Gaudiuso R.,Ewusi-Annan E.,Chiklis G. R.,Melikechi N.
Abstract
AbstractAs 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.
Funder
Canada Foundation for Innovation
Clinical Service Research and Development of the Veterans Affairs Office of Research and Development
NIH
Publisher
Springer Science and Business Media LLC
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