DocumentCode :
657052
Title :
MEMS based microstructure array design and its quantitative analysis of micropreconcentrator for cancer biomarker diagnosis
Author :
Kakita, Naoki ; Miyashita, Hiroaki ; Kishida, Satoru ; Sang-Seok Lee ; Jeong-O Lee
Author_Institution :
Grad. Sch. of Eng., Tottori Univ., Tottori, Japan
fYear :
2013
fDate :
3-6 Nov. 2013
Firstpage :
1
Lastpage :
4
Abstract :
We have proposed a high performance MEMS based microstructure array of micropreconcentrator (microPC) for breath diagnosis of cancer biomarkers. Moreover, we have reported in this paper for the first time the quantitative analysis results, which are used as evaluation criteria for determination of microstructure array performance. As a microstructure shape in microPC, we propose a flower leaf type shape. Owing to our new microstructure shape, biomarkers flow can be guided into microstructures and then contact area between biomarkers flow and microstructure surface can be maximized. The design parameters, such as shape, size and configuration of microstructures are studied and determined quantitatively by using particle adsorption model.
Keywords :
bioMEMS; cancer; gas sensors; patient diagnosis; MEMS based microstructure array design; breath diagnosis; cancer biomarker diagnosis; design parameters; flower leaf type shape; micropreconcentrator; microstructure configuration; microstructure shape; microstructure size; particle adsorption model; Adsorption; Arrays; Biological system modeling; Cancer; Micromechanical devices; Microstructure; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SENSORS, 2013 IEEE
Conference_Location :
Baltimore, MD
ISSN :
1930-0395
Type :
conf
DOI :
10.1109/ICSENS.2013.6688334
Filename :
6688334
Link To Document :
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