Publications by authors named "M Puig-Vidal"

Article Synopsis
  • - Recent research focused on self-powered devices highlights their potential benefits for the Internet of Things, particularly in reducing costs, minimizing power use, and lessening environmental effects.
  • - A study investigates a wireless sensor node that combines a thermoelectric generator to power itself and measure temperature gradients, specifically for improving server load management in data centers.
  • - The proposed system effectively utilizes a maximum power point tracking algorithm, achieving accurate temperature gradient measurements with a maximum error of just 0.14 °C and an energy efficiency exceeding 92% when temperatures are above 13 °C.
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Considerable efforts are made to develop Point-of-Care (POC) diagnostic tests. POC devices have the potential to match or surpass conventional systems regarding time, accuracy, and cost, and they are significantly easier to operate by or close to the patient. This strongly depends on the availability of miniaturized measurement equipment able to provide a fast and sensitive response.

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In this work, we present a self-powered electronic reader (e-reader) for point-of-care diagnostics based on the use of a fuel cell (FC) which works as a power source and as a sensor. The self-powered e-reader extracts the energy from the FC to supply the electronic components concomitantly, while performing the detection of the fuel concentration. The designed electronics rely on straightforward standards for low power consumption, resulting in a robust and low power device without needing an external power source.

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Here we devise a multiprobe electrical measurement system based on quartz tuning forks (QTFs) and metallic tips capable of having full 3D control over the position of the probes. The system is based on the use of bent tungsten tips that are placed in mechanical contact (glue-free solution) with a QTF sensor. Shear forces acting in the probe are measured to control the tip-sample distance in the Z direction.

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The quantitative measurement of biomolecular interactions is of great interest in molecular biology. Atomic force microscopy (AFM) has proved its capacity to act as a biosensor and determine the affinity between biomolecules of interest. Nevertheless, the detection scheme presents certain limitations when it comes to developing a compact biosensor.

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