Articles producció científica> Enginyeria Electrònica, Elèctrica i Automàtica

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

  • Datos identificativos

    Identificador: imarina:9285156
    Autores:
    Vergara ALlobet E
    Resumen:
    Over the past two decades, despite the tremendous research 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- and 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 s
  • Otros:

    Autor según el artículo: Vergara A; Llobet E
    Departamento: Enginyeria Electrònica, Elèctrica i Automàtica
    Autor/es de la URV: Llobet Valero, Eduard / VERGARA TINOCO, ALEXANDER
    Palabras clave: Tunable sensors Temperature dependence Technology Sensor-array optimization Sensor optimization Sensor Semiconductor Review Quantitative analysis Process optimization Probability Power spectrum Oxygen Oxidation Odor Micro hotplate gas sensor Methanol Metal-oxide gas sensors Metal oxide Machine learning Gas sensor Ethylene Electronic nose Conductance Classification Chemosensor Chemical sensor Alcohol Active sensing Acetone
    Resumen: Over the past two decades, despite the tremendous research 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- and 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. © 2012 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: 2023-02-19
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    Enlace a la fuente original: https://www.frontiersin.org/articles/10.3389/fneng.2011.00019/full
    Referencia al articulo segun fuente origial: Frontiers In Neuroengineering. (JANUARY):
    Referencia de l'ítem segons les normes APA: Vergara A; Llobet E (2012). Sensor selection and chemo-sensory optimization: Toward an adaptable chemo-sensory system. Frontiers In Neuroengineering, (JANUARY), -
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    DOI del artículo: 10.3389/fneng.2011.00019
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2012
    Tipo de publicación: Journal Publications
  • Palabras clave:

    Biomedical Engineering,Biophysics,Neuroscience (Miscellaneous)
    Tunable sensors
    Temperature dependence
    Technology
    Sensor-array optimization
    Sensor optimization
    Sensor
    Semiconductor
    Review
    Quantitative analysis
    Process optimization
    Probability
    Power spectrum
    Oxygen
    Oxidation
    Odor
    Micro hotplate gas sensor
    Methanol
    Metal-oxide gas sensors
    Metal oxide
    Machine learning
    Gas sensor
    Ethylene
    Electronic nose
    Conductance
    Classification
    Chemosensor
    Chemical sensor
    Alcohol
    Active sensing
    Acetone
    Neuroscience (miscellaneous)
    Biophysics
    Biomedical engineering
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