Reported in the Oct. 29 issue of Optics Express, due out Monday, the Cornell team showcases a new design for a "lab-on-a-chip" structure that provides the ability to move or sort particles using light. In addition to the advance in telecom and datacom applications this brings, the new architecture also lends itself to applications in biodetection, including the sorting of viruses and protein recognition.
This novel architecture, created by lead researcher Michal Lipson and her group and David Erickson and his group, is made up of a field of solid core waveguides. The waveguides are fabricated from SU-8, a material whose mechanical hardness and chemical resistance make it a source for use in lab-on-chip analysis systems. The waveguides used in the device achieve a much more efficient sorting process, which enables trapping and sorting much smaller spheres with much lower intensities than what has been previously reported. By integrating these waveguides on a chip, a massive parallel sorting system may be created. This sorting system would allow for hundreds of measurements in parallel on a 1x1 cm chip, introducing a portable system that provides greater efficiency and lower cost than the current methodologies.
This is the first demonstration of complete integration of planar optical waveguides with microfluidic ones.
This integrated system allows researchers to use light to control the movement of particles in a pressure-driven flow.
The planar optofluidic architecture developed represents a simple yet functional optical manipulation system for lab-on-chip applications.
The use of planar photonic structures in microfluidic devices removes the need for table-top free-space optics, potentially reducing costs and increasing platform portability.
Such a system could find application in high-stability particle trapping and sorting, but also in biodetection by exploiting the strong light interaction between the particle and the evanescent field.
Colleen Morrison | EurekAlert!
New NASA study improves search for habitable worlds
20.10.2017 | NASA/Goddard Space Flight Center
Physics boosts artificial intelligence methods
19.10.2017 | California Institute of Technology
17.10.2017 | Event News
10.10.2017 | Event News
10.10.2017 | Event News
20.10.2017 | Information Technology
20.10.2017 | Materials Sciences
20.10.2017 | Interdisciplinary Research