Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 1 de 1
Filter
Add more filters










Database
Language
Publication year range
1.
Sci Rep ; 12(1): 1614, 2022 01 31.
Article in English | MEDLINE | ID: mdl-35102204

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.


Subject(s)
COVID-19/blood , COVID-19/diagnosis , Immunity , Lasers , Pandemics , SARS-CoV-2/immunology , Spectrophotometry, Atomic/methods , Barium/analysis , COVID-19/epidemiology , COVID-19/virology , Data Accuracy , Discriminant Analysis , False Negative Reactions , False Positive Reactions , Humans , Machine Learning , Reverse Transcriptase Polymerase Chain Reaction/methods , SARS-CoV-2/genetics , Sensitivity and Specificity , Zinc/analysis
SELECTION OF CITATIONS
SEARCH DETAIL
...