Plasmofluidic Microlenses for Exosome Sorting - Scientific Reports
Yanik Receives National Science Foundation CAREER Award
We introduced a subwavelength thick (<200 nm) Optofluidic PlasmonIC (OPtIC) microlens that effortlessly achieves objective-free focusing and self-alignment of opposing optical scattering and fluidic drag forces for selective separation of exosome size bioparticles. Our optofluidic microlens provides a self-collimating mechanism for particle trajectories with a spatial dispersion that is inherently minimized by the optical gradient and radial fluidic drag forces working together to align the particles along the optical axis. We demonstrate that this facile platform facilitates complete separation of small size bioparticles (i.e., exosomes) from a heterogenous mixture through negative depletion and provides a robust selective separation capability for same size nanoparticles based on their differences in chemical composition.
Full Article: Plasmofluidic Microlenses for Label-Free Optical Sorting of Exosomes, Scientific Reports, June 2019,
Undergraduate Research Team Wins Dean’s Award
by KARYN SKEMP
… Like electrons and photons, a phonon is a quasiparticle, a particle derived from collective vibrations of atoms in solids. The ability to control electrons and photons led to major breakthroughs, including inventions such as the transistor, computer, camera, laser, and fiber optics. Yanik and others believe that the ability to control and manipulate phonons in artificially created phononic materials could lead to similar revolutionary breakthroughs.
“The idea behind my research is to use phononic metamaterials to push the boundaries of today’s acousto-microfluidic technologies beyond conventional standing-wave devices,” said Yanik, who laid the theoretical and experimental framework for the proposed research through a prior NSF award and has demonstrated practical uses of phononic metamaterials in microfluidics for the first time…
Full Article: BSOE News, January 24 2019,
Optical Cell Sorting - The Scientist
Congratulations to Ali Aljuraidan (Crown), Aditya Gumparthi (Crown) , Eduardo Hirata (Crown) !! for winning Dean’s Undergraduate Research Award!!
Project Description: Current diagnostic systems require trained personnel, expensive equipment, and a large area, making them infeasible. Our project solves the multi-level problem through automation and miniaturization of components responsible of functionalizing a microfluidic chip. This is done by providing a unified platform capable of functionalization and surface acoustic wave (SAW) particle separation. The platform is capable of completely autonomous operation and requires very little training to operate attributed by its user-friendly interface.
More: 2018 Winner: Automatized Surface Functionalization for Diagnostic System, June 2018,
Science AAAS Highlight
by RACHEL BERKOWITZ
… A new wave of label-free methods is offering researchers ways to identify subgroups of cells in live cultures and to home in on the most pertinent populations. Still, many label-free methods rely on only one cell characteristic or are hobbled by their low throughput. To overcome these limitations, researchers are devising tools that rapidly pump high volumes of cells through tiny microfluidic channels etched into a chip and combine the novel use of optics with new image-processing tools.
Full Article: Optical Cell Sorting, The Scientist, December 2017,
Novel biosensor technology could allow rapid detection of Ebola virus
by MARK I. STOCKMAN
Measuring minute amounts of chemical and biological objects in the environment and in living organisms is one of the most common and important tasks in chemistry, biology, medicine, environmental monitoring, transportation, homeland security, and defense. Although the existing methods of sensing and detection are numerous and powerful, they are not without shortcomings: insufficient sensitivity; long detection times; necessity for enzymatic, fluorescent, or radioactive labeling; high costs, and so on. Optical spectroscopic methods have the advantage of being fast, noncontact, and relatively inexpensive, but they are not necessarily sensitive enough.
Full Article: Nanoplasmonic sensing and detection, Science, Vol. 348, pp. 287-288,
by TIM STEPHENS
In 2010, Ahmet Ali Yanik published his first paper on the rapid detection of Ebola virus using new biosensor technology he and colleagues at Boston University had invented. But he found there was little interest at the time in developing the technology further.
"People told me that there wasn't any profit in it because this disease only affects people in the developing world," Yanik said.