Now, spectra technology is widely used in the biomedicine research,so this study investigates variation of the
fluorescence spectra in different excitation wavelength, and the spectra of serum with different glucose concentration is
tested in the excitation wavelength of 240nm to 280nm. The experimental result shows that the correlation between the
serum fluorescence intensity and the excitation light is very close, when the excitation light is in the ultraviolet wave
band, the fluorescence of serum is intensive. There is a violent fluorescence emission wavelength, which is 300nm to
410nm, while the excitation wavelength ranges from 220nm to 290nm, and the peaks wavelength are 330nm and
370nm. From 240nm to 280nm, the serum fluorescence intensity increases synchronously with the glucose concentration,
and the relationship between the fluorescence peak wavelength and the glucose concentration is almost in line. In this
way the blood sugar concentration can be estimated by the fluorescence spectra peak wavelength when the excitation
wavelength is from 240nm to 280nm, which is effective. It provides experimental foundation for the wide use of spectra
technology in medical diagnose, and the effectiv method to test the blood sugar concentration.
The paper presents a novel fiber optic microbend sensor with intelligent self-healing function, which is based upon
the photocurable technology and the mode-coupling theory. In the research, a kind of photocurable material is developed
and injected into the flexible hollow-center fiber embodying the sensitive optic fiber. According to the theory of fiber
optic microbend sensors, the microbending mechanism causes part of the optical power to be radiated out of the fiber due
to the mode-coupling. Especially when the damage of the sensitive optic fiber occurs due to the extremely small bending
radius, the radiation power will increase rapidly. We use the radiation power as the curing light to initiate the
photopolymerization of the photocurable material surrounding the sensitive optic fiber. The scale and speed of the
photochemistry reaction mainly depend on the radiation power and the microbend degree. By this way, the photocurable
material can repair the damaged area in real time according to the damaged state. This paper describes the design and
performances of the intelligent self-healing fiber optic microbend sensor in detail. The experimental results reveal that
the sensor has the excellent sensing property and can adjust its repairing ability according to the damaged degree
automatically.
Traditional optical image processing system is mostly based on PC, and is restricted in many fields. A novel system of
optical image processing is advanced. It consists of two parts: image acquisition system and image processing system.
Image acquisition system is made up of FPGA, CMOS image sensor and image buffer memory. DSP is selected as the
key element of the image processing system. An extra image buffer memory and an image memory are also used.
Program of optical image processing is written into DSP. Images processed can also be transmitted to display interfaces,
such as LCD, TV, etc. The system can operate conveniently, smoothly and inerrably with high speed and precision.
In this paper, the kinetic equation of photo-initiated reaction was set up by measuring the photoinitiator absorbency
and the exposure time during the exposure process based on the spectroscopic analysis and reaction kinetics. And an
effective and convenient computation model for quantum yields of photoinitiators was established through further
analysis of the exposure process. The kinetics curve of photoinitiator 1173 (HMPP) was determined according to this
method. The results show that the reaction is consistent with the kinetic model established in this paper. And the
quantum yield is 2.4% at the main absorption peak (247nm).
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