Paper
21 April 1999 Fiber optic evanescent wave spectroscopy (FEWS) for blood diagnosis: the use of polymer-coated AgClBr fibers and neural network analysis
Osnat Eytan, Edward Bormashenko, Roman Pogreb, Semion Sutovski, Irena Vaserman, Ben-Ami Sela, Abraham Katzir
Author Affiliations +
Proceedings Volume 3596, Specialty Fiber Optics for Medical Applications; (1999) https://doi.org/10.1117/12.346718
Event: BiOS '99 International Biomedical Optics Symposium, 1999, San Jose, CA, United States
Abstract
Infrared spectral analysis of human blood serum was carried out using FTIR-FEWS (Fourier Transform Infrared Fiberoptic Evanescent Wave Spectroscopy). The fiberoptic sensor elements were short (10.5 cm) lengths of unclad AgClBr fibers of diameter 0.9 mm. In order to protect the fibers from interaction with the blood serum we developed a dip coating technique, which made it possible to control the coating thickness. Three polymer materials were tested: polysulfone, polystyrene and room temperature vulcanized silicone elastomer. It was found that layers of thickness 2 - 3 micrometer provide chemical protection, while making it possible to carry out FEWS measurements. The measured spectra were analyzed by neural network analysis, to predict the concentrations of urea, uric acid, cholesterol, total protein and cretonne. The predicted concentrations were compared with the results obtained using standard chemical analysis of the blood (SMAC) and good correlation was observed, with errors of only few percent.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Osnat Eytan, Edward Bormashenko, Roman Pogreb, Semion Sutovski, Irena Vaserman, Ben-Ami Sela, and Abraham Katzir "Fiber optic evanescent wave spectroscopy (FEWS) for blood diagnosis: the use of polymer-coated AgClBr fibers and neural network analysis", Proc. SPIE 3596, Specialty Fiber Optics for Medical Applications, (21 April 1999); https://doi.org/10.1117/12.346718
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KEYWORDS
Blood

Chemical analysis

Optical fibers

Coating

Spectroscopy

Polymers

Neural networks

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