Label-free laser spectroscopy for respiratory virus detection: A review.
J Biophotonics
; 15(10): e202200100, 2022 10.
Article
in English
| MEDLINE | ID: covidwho-1995543
ABSTRACT
Infectious diseases are among the most severe threats to modern society. Current methods of virus infection detection based on genome tests need reagents and specialized laboratories. The desired characteristics of new virus detection methods are noninvasiveness, simplicity of implementation, real-time, low cost and label-free detection. There are two groups of methods for molecular biomarkers' detection and analysis:
(i) a sample physical separation into individual molecular components and their identification, and (ii) sample content analysis by laser spectroscopy. Variations in the spectral data are typically minor. It requires the use of sophisticated analytical methods like machine learning. This review examines the current technological level of laser spectroscopy and machine learning methods in applications for virus infection detection.Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Spectrum Analysis, Raman
/
Lasers
Type of study:
Experimental Studies
/
Prognostic study
/
Qualitative research
/
Randomized controlled trials
Language:
English
Journal:
J Biophotonics
Journal subject:
Biophysics
Year:
2022
Document Type:
Article
Affiliation country:
Jbio.202200100
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