TY - JOUR
T1 - Blood diagnostics using fiberoptic evanescent wave spectroscopy and neural networks analysis
AU - Gotshal, Yaron
AU - Simhi, Ronit
AU - Sela, Ben Ami
AU - Katzir, Abraham
N1 - Funding Information:
The authors wish to thank F. Moser for helpful discussions, A. Levite for help in producing the fibers, A. Yekuel and A. Gur for their technical assistance, and the Israeli Ministry of Science and Arts and the Commission of the European Communities for partial support of this work.
PY - 1997/8
Y1 - 1997/8
N2 - A spectral analysis of human blood serum was undertaken by fiberoptic evanescent wave spectroscopy (FEWS) using a Fourier transform infrared (FTIR) spectrometer. The blood serum samples were introduced into a special cell designed for FEWS of liquids, with an IR transmitting silver halide fiber as the sensing element. The spectra were analyzed by models of neural networks (NN), and the concentrations of protein, cholesterol and uric acid in human blood serum were obtained. Our results are in agreement with those obtained by ordinary chemical enzymatic methods and multivariate calibration methods. The estimated prediction errors obtained (in percent of the average value) were 4.7% for total protein, 22% for cholesterol and 35% for uric acid. This method can be used for in-situ real-time blood analysis.
AB - A spectral analysis of human blood serum was undertaken by fiberoptic evanescent wave spectroscopy (FEWS) using a Fourier transform infrared (FTIR) spectrometer. The blood serum samples were introduced into a special cell designed for FEWS of liquids, with an IR transmitting silver halide fiber as the sensing element. The spectra were analyzed by models of neural networks (NN), and the concentrations of protein, cholesterol and uric acid in human blood serum were obtained. Our results are in agreement with those obtained by ordinary chemical enzymatic methods and multivariate calibration methods. The estimated prediction errors obtained (in percent of the average value) were 4.7% for total protein, 22% for cholesterol and 35% for uric acid. This method can be used for in-situ real-time blood analysis.
KW - Blood analysis
KW - FEWS
KW - Neural network
KW - Silver halide
UR - http://www.scopus.com/inward/record.url?scp=0031197264&partnerID=8YFLogxK
U2 - 10.1016/S0925-4005(97)80331-0
DO - 10.1016/S0925-4005(97)80331-0
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AN - SCOPUS:0031197264
SN - 0925-4005
VL - 42
SP - 157
EP - 161
JO - Sensors and Actuators, B: Chemical
JF - Sensors and Actuators, B: Chemical
IS - 3 B
ER -