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- Resumen es exacto "In this Thesis, we investigate and analyze three techniques for the development of Lab-On-a-Chip (LoC) biosensing platforms. We present a technique that allows increasing the handling precision of reduced fluid volumes in electroosmotic transport applications and two biosensing capable optical detection techniques. These techniques directly intervene in the automation of processes for the quantification of a specific biological element or analyte using minimal amounts of fluids. The technological evolution of LoC platforms shows a constant increase in the required complexity both for the development of microfluidic transport systems, bio-receptors and transducer elements, as of the use of analysis and signal processing techniques. Regarding the area of species transport in microfluidic systems, this Thesis is aimed at the introduction of a numerical model, based on Laplace pressures, which explains the origin and dynamics of undesired adverse pressure gradients, that appear in electroosmotic transport applications, which can reduce and even cancel the flow with greater precision than that achieved by previous models based on hydrostatic pressure. This renders in a precision increase in the handling of reduced amounts of fluids in electroosmotic transport systems. Regarding the biosensing techniques that can be implemented in LoC platforms, in this Thesis, we make use of optics. Two approaches are developed, differentiated both theoretically and experimentally: (1) the use of a dual-geometry interferometric reference framework based on phase detection employing signal analysis through the use of synchrosqueezing transforms, and (2) the application of detection systems based on whispering-gallery modes optical microresonators (for short, WGM). Both methods are discussed in a general way using controlled experiments independent of the biological element nature. In this way, the presented analyzes highlight the pros and cons of both techniques and mark a milestone towards its future adaptation in LoC platforms."
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