Optical chromatographic sample separation of hydrodynamically focused mixtures

التفاصيل البيبلوغرافية
العنوان: Optical chromatographic sample separation of hydrodynamically focused mixtures
المؤلفون: Sean J. Hart, Alex Terray, Colin G. Hebert
المصدر: Biomicrofluidics. 8(6)
سنة النشر: 2014
مصطلحات موضوعية: Fluid Flow and Transfer Processes, Materials science, Chromatography, Microfluidics, Dispersity, Biomedical Engineering, Condensed Matter Physics, Laser, law.invention, Physics::Fluid Dynamics, chemistry.chemical_compound, Colloid and Surface Chemistry, chemistry, law, Drag, Particle, General Materials Science, Polystyrene, Two-phase flow, Particle size, Regular Articles
الوصف: Optical chromatography relies on the balance between the opposing optical and fluid drag forces acting on a particle. A typical configuration involves a loosely focused laser directly counter to the flow of particle-laden fluid passing through a microfluidic device. This equilibrium depends on the intrinsic properties of the particle, including size, shape, and refractive index. As such, uniquely fine separations are possible using this technique. Here, we demonstrate how matching the diameter of a microfluidic flow channel to that of the focusing laser in concert with a unique microfluidic platform can be used as a method to fractionate closely related particles in a mixed sample. This microfluidic network allows for a monodisperse sample of both polystyrene and poly(methyl methacrylate) spheres to be injected, hydrodynamically focused, and completely separated. To test the limit of separation, a mixed polystyrene sample containing two particles varying in diameter by less than 0.5 μm was run in the system. The analysis of the resulting separation sets the framework for continued work to perform ultra-fine separations.
تدمد: 1932-1058
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70e8a4a79bc76b53a03d25e44f16f57d
https://pubmed.ncbi.nlm.nih.gov/25553179
Rights: OPEN
رقم الانضمام: edsair.doi.dedup.....70e8a4a79bc76b53a03d25e44f16f57d
قاعدة البيانات: OpenAIRE