Frédéric Lochon
University of Bordeaux
19 Papers
105 Citations
Frédéric Lochon is an academic researcher from University of Bordeaux. The author has contributed to research in topics: Sensitivity (control systems) & Coating. The author has an hindex of 5, co-authored 19 publications.
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Papers
Chemical sensing: millimeter size resonant microcantilever performance
TL;DR: In this paper, a mass sensitive gas sensor for the detection of volatile organic compounds (VOC) has been developed based on the use of a resonant cantilever, where analyte gases are absorbed by a sensitive layer, and the resulting mass change of the system implies the cantilevers resonant frequency decreases.
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An alternative solution to improve sensitivity of resonant microcantilever chemical sensors: comparison between using high-order modes and reducing dimensions
TL;DR: In this paper, the authors demonstrated that the theoretical performance of the resonant microcantilever chemical sensor is essentially due to the resonance value and not due to mode order.
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Effect of Coating Viscoelasticity on Quality Factor and Limit of Detection of Microcantilever Chemical Sensors
TL;DR: In this article, an analytical expression is obtained for the quality factor, which accounts for viscoelastic losses in the coating, and an optimum coating thickness exists that will maximize the signal-to-noise ratio and, thus, minimize the sensor limit of detection.
Silicon made resonant microcantilever: Dependence of the chemical sensing performances on the sensitive coating thickness
TL;DR: In this paper, a gas sensor based on the use of a resonating microcantilever has been realized by using a polymer sensitive coating, which has been deduced that the sensitivity is enhanced when the resonant frequency or the sensitive coating thickness are increased.
A microcantilever chemical sensors optimization by taking into account losses
TL;DR: In this article, an approach that takes into account the different types of losses is provided to specify appropriate values of microcantilever aspect ratios (length to thickness, width to thickness).