Articles producció científica> Enginyeria Electrònica, Elèctrica i Automàtica

Sensor selection and chemo-sensory optimization: Toward an adaptable chemo-sensory system

  • Datos identificativos

    Identificador: imarina:5608942
    Handle: https://hdl.handle.net/20.500.11797/imarina5608942
    Autores:
    Vergara ALlobet E
    Resumen:
    Over the past two decades, despite the tremendous research effort performed on chemical sensors and machine olfaction to develop micro-sensory systems that will accomplish the growing existent needs in personal health (implantable sensors), environment monitoring (widely distributed sensor networks), and security/threat detection (chemo/bio warfare agents), simple, low-cost molecular sensing platforms capable of long-term autonomous operation remain beyond the current state-of-the-art of chemical sensing. A fundamental issue within this context is that most of the chemical sensors depend on interactions between the targeted species and the surfaces functionalized with receptors that bind the target species selectively, and that these binding events are coupled with transduction processes that begin to change when they are exposed to the messy world of real samples. With the advent of fundamental breakthroughs at the intersection of materials science, micro/nano-technology, and signal processing, hybrid chemo-sensory systems have incorporated tunable, optimizable operating parameters, through which changes in the response characteristics can be modeled and compensated as the environmental conditions or application needs change. The objective of this article, in this context, is to bring together the key advances at the device, data processing, and system levels that enable chemo-sensory systems to adapt in response to their environments. Accordingly, in this review we will feature the research effort made by selected experts on chemical sensing and information theory, whose work has been devoted to develop strategies that provide tunability and adaptability to single sensor devices or sensory array systems. Particularly, we consider sensor-array selection, modulation of

  • Otros:

    Autor según el artículo: Vergara A; Llobet E
    Departamento: Enginyeria Electrònica, Elèctrica i Automàtica
    Autor/es de la URV: Llobet Valero, Eduard
    Palabras clave: Tunable sensors Sensor optimization Sensor array optimization Metal-oxide gas sensors Electronic-nose Active sensing
    Resumen: Over the past two decades, despite the tremendous research effort performed on chemical sensors and machine olfaction to develop micro-sensory systems that will accomplish the growing existent needs in personal health (implantable sensors), environment monitoring (widely distributed sensor networks), and security/threat detection (chemo/bio warfare agents), simple, low-cost molecular sensing platforms capable of long-term autonomous operation remain beyond the current state-of-the-art of chemical sensing. A fundamental issue within this context is that most of the chemical sensors depend on interactions between the targeted species and the surfaces functionalized with receptors that bind the target species selectively, and that these binding events are coupled with transduction processes that begin to change when they are exposed to the messy world of real samples. With the advent of fundamental breakthroughs at the intersection of materials science, micro/nano-technology, and signal processing, hybrid chemo-sensory systems have incorporated tunable, optimizable operating parameters, through which changes in the response characteristics can be modeled and compensated as the environmental conditions or application needs change. The objective of this article, in this context, is to bring together the key advances at the device, data processing, and system levels that enable chemo-sensory systems to adapt in response to their environments. Accordingly, in this review we will feature the research effort made by selected experts on chemical sensing and information theory, whose work has been devoted to develop strategies that provide tunability and adaptability to single sensor devices or sensory array systems. Particularly, we consider sensor-array selection, modulation of internal sensing parameters, and active sensing. The article ends with some conclusions drawn from the results presented and a visionary look toward the future in terms of how the field may evolve. © 2011 Vergara and Llobet.
    Áreas temáticas: Neuroscience (miscellaneous) Biophysics Biomedical engineering
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Direcció de correo del autor: eduard.llobet@urv.cat
    Identificador del autor: 0000-0001-6164-4342
    Fecha de alta del registro: 2024-10-12
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    Referencia al articulo segun fuente origial: Frontiers In Neuroengineering. (DECEMBER):
    Referencia de l'ítem segons les normes APA: Vergara A; Llobet E (2011). Sensor selection and chemo-sensory optimization: Toward an adaptable chemo-sensory system. Frontiers In Neuroengineering, (DECEMBER), -. DOI: 10.3389/fneng.2011.00019
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2011
    Tipo de publicación: Journal Publications

  • Palabras clave:

    Biomedical Engineering,Biophysics,Neuroscience (Miscellaneous)
    Tunable sensors
    Sensor optimization
    Sensor array optimization
    Metal-oxide gas sensors
    Electronic-nose
    Active sensing
    Neuroscience (miscellaneous)
    Biophysics
    Biomedical engineering

  • Documentos:

    DocumentPrincipal

  • Cerca a google

    Search to google scholar