A Bio-chip for Continuous Bio-particle Sorting, Trapping, Concentrating and Detecting Based on 3D Dielectrophoretic Field and Its Application

碩士 === 國立成功大學 === 醫學工程研究所碩博士班 === 95 === Separation of the microorganism and sorting their individual population from mixture sample was very important in the biomedical application. In this research, we develop an AC dielectrophoretic (DEP) bio-chip that integrated high throughput bacteria sorting,...

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Bibliographic Details
Main Authors: I-Fang Cheng, 鄭宜肪
Other Authors: Hsien-Chang Chang
Format: Others
Language:en_US
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/25751906115325377031
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Summary:碩士 === 國立成功大學 === 醫學工程研究所碩博士班 === 95 === Separation of the microorganism and sorting their individual population from mixture sample was very important in the biomedical application. In this research, we develop an AC dielectrophoretic (DEP) bio-chip that integrated high throughput bacteria sorting, trapping, concentrating and detecting in continuous flow. A dual-layers dielectrophoresis (DEP) chip with these functions can be fabricated by standard lithography technique and UV bonding method. The 3D chip was constructed by two face to face electrode chips at top and bottom of microfluidic channel. The specific dielectrophoretic force can be induced by different dielectric properties of particles. We have separated different sizes of latex particles successfully based on their different magnitudes of negative DEP (nDEP) force and we also have sorted E. faecium from diluted whole blood cells and trapped E. faecium. Mixture of E. coli Nissle 1917 and Lactobacillus can be sorted and concentrated in this chip based on their different dielectric properties, and detected the fingerprints by surface enhanced Raman scattering (SERS). We have got well Raman signal during our DEP concentrator procedure. Consequently, About 80 % sorting and trapping efficiency was calculated. When the bacteria concentration was 107 CFU/ml, about 500 particles per second can be sorted and trapped. The particle concentration of the milk sample also can be roughly calculated through trapping area of the captured image. According to the results, this chip can be promoted to be a lab-on-a-chip in the future.