System Maintenance Notice:
Single article purchases and IEEE account management are currently unavailable. We apologize for the inconvenience.
By Topic

Labelling of Biological Cells with Magnetic Particles in a Chaotic Microfluidic Mixer

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Zolgharni, M. ; Sch. of Eng. & Design, Brunei Univ., Uxbridge ; Azimi, S.M. ; Ayers, H. ; Balachandran, W.

The authors present a numerical study of chaotic mixing of super-paramagnetic microparticles into a biofluid in order to evaluate the efficiency of the mixer in labelling the target biological cells with particles. Lagrangian trajectories of the particles and bio-cells in the mixing domain were obtained and percentage of the cells being labelled in the mixing process was used as the primary index to quantitatively characterize the system. Moreover, largest Lyapunov exponent was computed as a supplemental index in order to examine the incident of chaos in the particles' motion in the mixer, and investigate the relationship between chaotic strength and labelling of cells. Both indices were calculated for a range of driving parameters and were shown to be highly dependent on the condition of the system. It was found that while in some ranges of operating conditions both indices were in good agreement, there are some ranges where they appeared to yield contradicting results. It is found that the optimum operating conditions of the system is obtained when the Strouhal number is about 0.4, which corresponds to the efficiency of about 70%.

Published in:

Nano/Micro Engineered and Molecular Systems, 2007. NEMS '07. 2nd IEEE International Conference on

Date of Conference:

16-19 Jan. 2007