1. Detection of fluorescence from a mixed specimen consisting of micro particles attached to different fluorescent substances using a light waveguide incorporated optical TAS
- Author
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Toshifumi Ohkubo, Nobuyuki Terada, and Yoshikazu Yoshida
- Subjects
010302 applied physics ,Materials science ,Micro particles ,business.industry ,02 engineering and technology ,021001 nanoscience & nanotechnology ,Condensed Matter Physics ,Chip ,01 natural sciences ,Signal ,Fluorescence ,Electronic, Optical and Magnetic Materials ,law.invention ,Hardware and Architecture ,law ,0103 physical sciences ,Optoelectronics ,Total analysis system ,Laser power scaling ,Electrical and Electronic Engineering ,0210 nano-technology ,business ,Waveguide ,Stationary noise - Abstract
A “ubiquitous human health care system” will require a monolithic optical total analysis system (TAS) consisting of waveguides and microfluidic channels based on a transparent resin chip. Together with the rapid development of the fluorescent marking method, fluorescence analysis by TAS of mixed-microparticle specimen attached to different fluorescent substances will be necessary. Towards realization of this, we here propose a novel method for using a part of the fluorescence acquired by irradiating microparticles with AC-modulated laser power as light dedicated to the discrimination of fluorescent substances. Since the light power for discrimination was extremely weak, we extracted effective signal components using a lock-in detection method. Then, by comparison with the signal of the original fluorescence, we could determine whether the fluorescence signal was from the microparticles attached to the fluorescent substance to be discriminated. Using a mixed specimen composed of microparticle-attached fluorescent substances with emission peaks of 520 nm and 600 nm, we found that 10% of the acquired fluorescence could successfully determine the specified fluorescent substance as a discrimination signal. The peak value of the discrimination signal was approximately double the amplitude of the stationary noise in the discrimination signal.
- Published
- 2019