2016
DOI: 10.1063/1.4972299
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Invited Article: Real-time sensing of flowing nanoparticles with electro-opto-mechanics

Abstract: High-Q optical resonators allow label-free detection of individual nanoparticles through perturbation of optical signatures but have practical limitations due to reliance on random diffusion to deliver particles to the sensing region. We have recently developed microfluidic optomechanical resonators that allow detection of free-flowing particles in fluid media with near perfect detection efficiency, without requiring labeling, binding, or direct access to the optical mode. Rapid detection of single particles i… Show more

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Cited by 15 publications
(19 citation statements)
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“…It is seen that the major effect of the dye results in changing the intensity of the resonant dips, i.e., is related to losses. One of the exciting applications of hollow BMRs for sensing explores their optomechanical properties [80][81][82][83]. As an example, Fig.…”
Section: Bmr Sensorsmentioning
confidence: 99%
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“…It is seen that the major effect of the dye results in changing the intensity of the resonant dips, i.e., is related to losses. One of the exciting applications of hollow BMRs for sensing explores their optomechanical properties [80][81][82][83]. As an example, Fig.…”
Section: Bmr Sensorsmentioning
confidence: 99%
“…22(a) shows a hollow electro-opto-mechanical BMR demonstrated in Refs. [80,81] enabling real-time detection of mechanical properties of microparticles flowing in liquid inside the BMR. The outer and inner diameters of BMR used in Ref.…”
Section: Bmr Sensorsmentioning
confidence: 99%
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“…Previously, we have demonstrated opto-mechanofluidic resonators (OMFRs) as a microfluidic sensor for measurements on bulk fluids 5,20,22 and for determining the properties of individual microparticles 21 at extremely high speeds 23 . An example OMFR vibrational mode is illustrated in Fig.…”
mentioning
confidence: 99%
“…1(c)) [15]. Previously, sensing of fluid density and speed of sound [16,17], fluid viscosity [23], and flowing particles [15,24] have been demonstrated using this platform. A recent report [24] showed particle detection rate of exceeding 50,000 particles-per-second, without any binding, labeling, or reliance on random diffusion.…”
mentioning
confidence: 99%