A measurement method of glucose concentration based on fiber-optic surface plasmon resonance (FO-SPR) is proposed to achieve online, real-time detection of human blood glucose concentration. The end-reflection structure of FO-SPR sensor was simulated and the impact of different parameters on sensor performance was analyzed. Then the FO-SPR sensor was manufactured according to the optimized parameters. A glucose concentration measurement system with SPR sensor was set up. Glucose solutions with different concentrations were measured and the experiment results showed that the correlation coefficient of fitting curve between the glucose concentration and resonance wavelength was above 0.95 at the human blood glucose range of 0~200mg/dL. The measurement repeatability was also proved to be able to meet the requirements of blood glucose concentration detection in clinics.
To realize the online, rapid distinguishing of different petrol in transportation pipelines, a method based on fiber-optic surface plasmon resonance (FO-SPR) sensor is proposed. The calculation and simulation of FO-SPR end-reflection
structure were carried out through fiber theoretical model and SPR principle. The impact of different parameters on
sensor performance was analyzed. According to the optimized structure parameters, the FO-SPR sensor was
manufactured. A wavelength modulation optical measurement system with FO-SPR sensor was established. Sample
petrol of 90#, 93# and 97# and their mixture were measured. Different types of petrol were distinguished through the
changes of the resonance wavelength. The experiment results showed that the measurement method could distinguish different petrol and had a good degree of distinction and repeatability. It lays the foundation for the identification of mixed product oil in transportation pipelines.
Minimally-invasive blood glucose monitoring is a very efficient and important way to control blood glucose level of
diabetes. An implantable fiber-optic surface plasmon resonance sensor for minimally-invasive blood glucose monitoring
is presented. As the fiber-optic SPR sensor is sensitive to temperature and moreover the human body temperature drift
plays a great effect on measurement results when the sensor is implanted in human body, long period fiber grating (LPFG)
is utilized for temperature compensation to improve measurement accuracy. The fiber-optic surface plasmon resonance
sensor is theoretically analyzed and the parameters such as the length of sensor, diameter of fiber, thickness of Chrome
and gold are calculated and simulated. The parameters of LPFG is analyzed and simulated, such as length, period and
modulation depth. The structural parameters of the sensor are optimized through the calculation and simulation.
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