ArticleJournal of biomedical optics2022
Fluorescence signatures of SARS-CoV-2 spike S1 proteins and a human ACE-2: excitation-emission maps and fluorescence lifetimes.
Article in Journal of biomedical optics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Diagnostic accuracy of artificial intelligence-based multi-spectrum analysis for molecular fingerprint detection of SARS-CoV-2.Medicine · 2025Observational
- The SARS-CoV-2 specific IgG antibodies biophotonic sensor.Journal of biophotonics · 2023Article
- Cerebral microvascular complications associated with SARS-CoV-2 infection: How did it occur and how should it be treated?Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2022Review
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
significanceFast and reliable detection of infectious SARS-CoV-2 virus loads is an important issue. Fluorescence spectroscopy is a sensitive tool to do so in clean environments. This presumes a comprehensive knowledge of fluorescence data.
aimWe aim at providing fully featured information on wavelength and time-dependent data of the fluorescence of the SARS-CoV-2 spike protein S1 subunit, its receptor-binding domain (RBD), and the human angiotensin-converting enzyme 2, especially with respect to possible optical detection schemes. APPROACH: Spectrally resolved excitation-emission maps of the involved proteins and measurements of fluorescence lifetimes were recorded for excitations from 220 to 295 nm. The fluorescence decay times were extracted by using a biexponential kinetic approach. The binding process in the SARS-CoV-2 RBD was likewise examined for spectroscopic changes.
resultsDistinct spectral features for each protein are pointed out in relevant spectra extracted from the excitation-emission maps. We also identify minor spectroscopic changes under the binding process. The decay times in the biexponential model are found to be ( 2.0 ± 0.1 ) ns and ( 8.6 ± 1.4 ) ns.
conclusionsSpecific material data serve as an important background information for the design of optical detection and testing methods for SARS-CoV-2 loaded media.
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