Cancer and bacterial infections are projected to kill 18 million people worldwide annually by 2050. Fast and reliable diagnostics are essential for early and targeted treatments. Microfluidics is at the heart of the miniaturisatio...
Cancer and bacterial infections are projected to kill 18 million people worldwide annually by 2050. Fast and reliable diagnostics are essential for early and targeted treatments. Microfluidics is at the heart of the miniaturisation of diagnostics, enabling novel portable and low-cost point-of-care devices. Inertial particle microfluidics (IPMF) is a novel and competitive method with applications in cancer cell and bacteria separation. Yet, the physics behind IPMF is not well understood, making progress slow and costly. Novel design rules are in urgent need to avoid trial-and-error experiments. I will numerically investigate the underlying physical mechanisms and develop the first predictive toolkit for engineering applications of IPMF.
In particular, I will address five ambitious challenges in SIRIUS:
1. Develop an accurate numerical model for IPMF.
2. Understand the impact of particle softness.
3. Investigate the effect of finite particle concentration.
4. Improve the currently low separation efficiency of small particles.
5. Develop a toolkit to enable simulation-driven design.
These objectives are feasible through novel numerical approaches based on the lattice-Boltzmann method and state-of-the-art high-performance computing. SIRIUS will pursue an innovative simulation campaign, validated with existing experimental data, to generate both physical insight and scaling laws for simulation-driven design.
For the first time, SIRIUS will produce robust numerical methods for IPMF. My pioneering research will uncover the physics behind particle separation and culminate in a design toolkit for IPMF engineers. SIRIUS will fill a critical gap and open up an entirely new research field: Simulations for inertial particle microfluidics. Results of SIRIUS will be published as open-source codes, open-access articles, and open data. This will ultimately enable faster, less costly and more innovative research in the field of microfluidics for diagnostics.ver más
Seleccionando "Aceptar todas las cookies" acepta el uso de cookies para ayudarnos a brindarle una mejor experiencia de usuario y para analizar el uso del sitio web. Al hacer clic en "Ajustar tus preferencias" puede elegir qué cookies permitir. Solo las cookies esenciales son necesarias para el correcto funcionamiento de nuestro sitio web y no se pueden rechazar.
Cookie settings
Nuestro sitio web almacena cuatro tipos de cookies. En cualquier momento puede elegir qué cookies acepta y cuáles rechaza. Puede obtener más información sobre qué son las cookies y qué tipos de cookies almacenamos en nuestra Política de cookies.
Son necesarias por razones técnicas. Sin ellas, este sitio web podría no funcionar correctamente.
Son necesarias para una funcionalidad específica en el sitio web. Sin ellos, algunas características pueden estar deshabilitadas.
Nos permite analizar el uso del sitio web y mejorar la experiencia del visitante.
Nos permite personalizar su experiencia y enviarle contenido y ofertas relevantes, en este sitio web y en otros sitios web.