Autor segons l'article: Vergara A; Llobet E
Departament: Enginyeria Electrònica, Elèctrica i Automàtica
Autor/s de la URV: Llobet Valero, Eduard
Paraules clau: Tunable sensors Sensor optimization Sensor array optimization Metal-oxide gas sensors Electronic-nose Active sensing
Resum: 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.
Àrees temàtiques: Neuroscience (miscellaneous) Biophysics Biomedical engineering
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
Adreça de correu electrònic de l'autor: eduard.llobet@urv.cat
Identificador de l'autor: 0000-0001-6164-4342
Data d'alta del registre: 2024-10-12
Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
Enllaç font original: https://www.frontiersin.org/journals/neuroengineering/articles/10.3389/fneng.2011.00019/full
Referència a l'article segons font original: Frontiers In Neuroengineering. (DECEMBER):
Referència 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 Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
DOI de l'article: 10.3389/fneng.2011.00019
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2011
Tipus de publicació: Journal Publications