Autofluorescence of blood and its application in biomedical and clinical research.

Autor: Shrirao AB; Department of Biomedical Engineering, Rutgers University, Piscataway, New Jersey, USA., Schloss RS; Department of Biomedical Engineering, Rutgers University, Piscataway, New Jersey, USA., Fritz Z; Department of Biomedical Engineering, Rutgers University, Piscataway, New Jersey, USA., Shrirao MV; Department of pathology, Government Medical College, Nagpur, India., Rosen R; Robert Wood Johnson Medical School, Rutgers University, Piscataway, New Jersey, USA., Yarmush ML; Department of Biomedical Engineering, Rutgers University, Piscataway, New Jersey, USA.
Jazyk: angličtina
Zdroj: Biotechnology and bioengineering [Biotechnol Bioeng] 2021 Dec; Vol. 118 (12), pp. 4550-4576. Date of Electronic Publication: 2021 Sep 14.
DOI: 10.1002/bit.27933
Abstrakt: Autofluorescence of blood has been explored as a label free approach for detection of cell types, as well as for diagnosis and detection of infection, cancer, and other diseases. Although blood autofluorescence is used to indicate the presence of several physiological abnormalities with high sensitivity, it often lacks disease specificity due to use of a limited number of fluorophores in the detection of several abnormal conditions. In addition, the measurement of autofluorescence is sensitive to the type of sample, sample preparation, and spectroscopy method used for the measurement. Therefore, while current blood autofluorescence detection approaches may not be suitable for primary clinical diagnosis, it certainly has tremendous potential in developing methods for large scale screening that can identify high risk groups for further diagnosis using highly specific diagnostic tests. This review discusses the source of blood autofluorescence, the role of spectroscopy methods, and various applications that have used autofluorescence of blood, to explore the potential of blood autofluorescence in biomedical research and clinical applications.
(© 2021 Wiley Periodicals LLC.)
Databáze: MEDLINE
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