Computational analysis and design of microchambers for multianalyte aptamer-based biosensor applications

Psoma, Sotiria and Tourlidakis, Antonios (2020). Computational analysis and design of microchambers for multianalyte aptamer-based biosensor applications. In: 17th International Conference on Nanosciences and Nanotechnologies - NN20, 7-10 Jul 2020, Thessaloniki, Greece, p. 64.



This study presents different designs of microfluidic modelling and simulation of multianalyte microchambers for aptamer-based biosensor applications using fluorescence detection method. Each microchamber including the microchannels is the point of interest for the interactions with the target analyte and the optical detection. Their design and fluidic parameters are highly important for the performance of the biosensor by holding the immobilised aptamers onto their surfaces without leaching issues and with integration of the optical detection method by offering high sensitivity and repeatability. As a result, the shape, size and microchannel design and connections are vital parameters. In the present work, several combinations of different shapes of microchambers and microchannels are designed and simulated. Fluidic parameters such as average velocity, pressure, flow rates shear parameters are critically assessed at different cross-sections within the microchambers.
The rinsing behaviour with buffer solutions under certain pressure drops between the inlet and outlet microchannels are investigated. Another challenge in the design of the microfluidic unit of the multianalyte biosensor lies in the extraction of entrained air bubbles, which may be present after the filling process is completed, dramatically affecting the performance of the sensing element. Optimised design of the microchambers is selected based on optimal rinsing, minimum flow shear, avoidance of slow zones without reverse flows, relatively simple geometry, minimum static pressure drops and homogenous distribution of the different analyte targets. Steady and unsteady flow simulations were carried out using a commercial Computational Fluid Dynamics code and involved an extensive parametric analysis.

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