Semiconducting metal oxides for gas sensor applications

Fernández, Aniceto López; Sakthivel, P.; Jesudurai, Joe

doi:10.1007/s10854-017-7924-0

Cited by 7 publications

(2 citation statements)

References 30 publications

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“…Very recently, nanostructured plate‐like copper oxide films prepared by successive ionic layer adsorption and reaction (SILAR) and doped with zinc were employed for monitoring hydration levels in a range of sweat concentrations. Upon Zn doping, substitution of zinc ions at copper sites released two electrons that elevated the charge carrier concentration and altered the resistivity of the CuO film [17]. The same SILAR fabricated CuO film was doped with artificial sweat in order to improve its sweat‐sensing behaviour.…”

Section: Metal Oxide Sensors In Health Monitoringmentioning

confidence: 99%

Expanding Horizons of Metal Oxide‐based Chemical and Electrochemical Sensors

2021

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Metal‐oxide (MOx) are widely used in electrical/electrochemical sensors owing to their quick‐response ability, High surface‐to‐volume ratio, matching lateral‐dimensions with surface‐charge zone and modifiable with dopants significantly enhances their sensing performance. Typically, MOx‐based sensors are used in gaseous‐analytes for monitoring environmental‐pollutants and gas‐leakage. Tuning the properties of nanostructured‐metal‐oxides advanced their applications beyond environmental‐monitoring. This review focuses on the emerging‐dimensions of MOx‐based sensors in hazard‐surveillance and risk‐investigation like in deployment to detect fire‐hazards, chemical‐warfare agents, oil‐spills and explosives. Recent advances of using MOx‐based sensors as electronic‐tongue and electronic‐nose for non‐invasive health monitoring and MOx‐based sensor mobile robots for remote surveillance is also discussed.

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Section: Metal Oxide Sensors In Health Monitoringmentioning

confidence: 99%

Expanding Horizons of Metal Oxide‐based Chemical and Electrochemical Sensors

2021

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“…The multivariate responses obtained by chemical sensor arrays require data processing to perform the fundamental tasks of compound identification (classification), concentration estimation (regression) and clustering of similar compounds (clustering). Although major advances over the last decade have shown that proper processing can improve the robustness of instruments [140], there is still a long way to go in terms of drift compensation, changes in the measurement environment or sampling conditions, sensor switching or calibration between devices and compensation of the response due to moisture or other interferences.…”

Section: Perspectivesmentioning

confidence: 99%