Author, as appears in the article.: Vergara A; Llobet E
Department: Enginyeria Electrònica, Elèctrica i Automàtica
URV's Author/s: Llobet Valero, Eduard / VERGARA TINOCO, ALEXANDER
Keywords: 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
Abstract: 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.
Thematic Areas: Neuroscience (miscellaneous) Biophysics Biomedical engineering
licence for use: https://creativecommons.org/licenses/by/3.0/es/
Author's mail: eduard.llobet@urv.cat
Author identifier: 0000-0001-6164-4342
Record's date: 2023-02-19
Papper version: info:eu-repo/semantics/publishedVersion
Papper original source: Frontiers In Neuroengineering. (JANUARY):
APA: Vergara A; Llobet E (2012). Sensor selection and chemo-sensory optimization: Toward an adaptable chemo-sensory system. Frontiers In Neuroengineering, (JANUARY), -
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Entity: Universitat Rovira i Virgili
Journal publication year: 2012
Publication Type: Journal Publications
Repositori URV