Detection of C-reactive protein based on measurement of Brownian motion by micro-particle-tracking-velocimetry

Y. J. Fan, Chiajui Hsu, Chengpang Liu, Tzuheng Wu, Horn Jiunn Sheen, Shyhfeng Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

A novel bio-sensing technique based on Brownian motion change with use of a micro-particle-tracking-velocimetry (micro-PTV) has been successfully developed to measure the antigen-antibody interactions. The rapid interaction between antigen, C-reactive protein (CRP), and the nanobeads conjugated with antibody, anti-CRP, enabled the real-time detection of CRP to be easily carried out. During the binding process of nanobeads to CRP, the mean value of the beads diameter increased so that the Brownian velocity decreased with increasing time. Moreover, higher CRP concentration led to lower Brownian velocity of the nanobead at equilibrium state. Furthermore, the sensitivity was raised when the smaller nanobeads were used.

Original languageEnglish
Title of host publicationMEMS 2008 Tucson - 21st IEEE International Conference on Micro Electro Mechanical Systems
Pages192-195
Number of pages4
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event21st IEEE International Conference on Micro Electro Mechanical Systems, MEMS 2008 Tucson - Tucson, AZ, United States
Duration: Jan 13 2008Jan 17 2008

Publication series

NameProceedings of the IEEE International Conference on Micro Electro Mechanical Systems (MEMS)
ISSN (Print)1084-6999

Conference

Conference21st IEEE International Conference on Micro Electro Mechanical Systems, MEMS 2008 Tucson
Country/TerritoryUnited States
CityTucson, AZ
Period1/13/081/17/08

ASJC Scopus subject areas

  • Mechanical Engineering
  • Electrical and Electronic Engineering
  • Control and Systems Engineering

Fingerprint

Dive into the research topics of 'Detection of C-reactive protein based on measurement of Brownian motion by micro-particle-tracking-velocimetry'. Together they form a unique fingerprint.

Cite this