Diagnostic Raman spectroscopy offers a rapid approach for pathogen detection and phenotypic antimicrobial susceptibility testing. Following isolation, two common bloodstream infection bacteria, Escherichia coli and Staphylococcus aureus, were treated with appropriate antibiotic concentrations and analyzed using On-Chip Raman spectroscopy. Using photonic data analysis, the spectral signals are translated into antibiograms.
We developed a simple and convenient magnetic bead-based sample preparation scheme for enabling a Raman spectroscopic differentiation of severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) positive and negative samples. By utilizing the angiotensin-converting enzyme 2 (ACE2) receptor protein as selective recognition element, we avoid having to identify the virus species based on its specific Raman signature. Instead we only need to verify the presence of the virus, which is significantly less difficult. For quantitative evaluation of the spectra, we calculated the Pearson coefficient and the Normalized Cross Correlation coefficient.
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