Self-mixing laser Doppler flow sensor: an optofluidic implementation

Nikolić, Milan, Hicks, Elaine, Lim, Yah Leng, Bertling, Karl and Rakić, Aleksandar (2013) Self-mixing laser Doppler flow sensor: an optofluidic implementation. Applied Optics, 52 33: 8128-8133. doi:10.1364/AO.52.008128

Author Nikolić, Milan
Hicks, Elaine
Lim, Yah Leng
Bertling, Karl
Rakić, Aleksandar
Title Self-mixing laser Doppler flow sensor: an optofluidic implementation
Journal name Applied Optics   Check publisher's open access policy
ISSN 1559-128X
Publication date 2013-11-18
Sub-type Article (original research)
DOI 10.1364/AO.52.008128
Volume 52
Issue 33
Start page 8128
End page 8133
Total pages 6
Place of publication Washington, DC, United States
Publisher Optical Society of America
Collection year 2014
Language eng
Formatted abstract
We present the miniaturization of self-mixing interferometry (SMI) into a microfluidic circuit using an optical fiber, forming an optofluidic device that can be used as a component in lab on a chip systems. We characterize the performance of the device as a fluid velocity (and hence flow) sensor, showing it to produce good accuracy and correlation with theory over a range of velocities from 0.5 to 60  mm/s and almost four decades of scatterer concentration. SMI in an optofluidic system has the advantage that only a single path to the optical inspection point is needed, as the laser source is also the receiver of light. In addition, the same system that is used for measuring fluid velocity can be used to measure other quantities such as particle size. The configuration presented is inherently easy to optically align due to the self-aligned property of SMI and divergent nature of light exiting the embedded optical fiber, providing for low-cost manufacturing.
Keyword Optical sensing and sensors
Laser sensors
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2014 Collection
School of Information Technology and Electrical Engineering Publications
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 12 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 15 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Sat, 16 Nov 2013, 08:26:55 EST by Karl Bertling on behalf of School of Information Technol and Elec Engineering