In order to address the increasing demand for real-time and pervasive monitoring of air quality and, in particular, of particulate matter, novel solid-state sensor technologies and compact instrumentation for dust detection have been recently proposed. Within the context of distributed dust monitoring in urban areas, we briefly review the most recent advances in miniaturized optical, mass-sensitive and capacitive approaches based on solid-state technologies for the detection of micrometric and nanometric airborne particles. Different application scenarios (spanning from dense wireless networks in smart-cities, composed of several fixed or mobile nodes, to pocket-sized personal dosimeters) are also discussed. New participatory and ubiquitous monitoring and mapping strategies are presented, being enabled by the embedment of these ultra-miniaturized sensors in handheld mobile devices, such as smartphones, already integrating several MEMS sensors.

Emerging miniaturized technologies for airborne particulate matter pervasive monitoring

CARMINATI, MARCO;FERRARI, GIORGIO;SAMPIETRO, MARCO
2017-01-01

Abstract

In order to address the increasing demand for real-time and pervasive monitoring of air quality and, in particular, of particulate matter, novel solid-state sensor technologies and compact instrumentation for dust detection have been recently proposed. Within the context of distributed dust monitoring in urban areas, we briefly review the most recent advances in miniaturized optical, mass-sensitive and capacitive approaches based on solid-state technologies for the detection of micrometric and nanometric airborne particles. Different application scenarios (spanning from dense wireless networks in smart-cities, composed of several fixed or mobile nodes, to pocket-sized personal dosimeters) are also discussed. New participatory and ubiquitous monitoring and mapping strategies are presented, being enabled by the embedment of these ultra-miniaturized sensors in handheld mobile devices, such as smartphones, already integrating several MEMS sensors.
2017
Air quality; Dust; High-resolution capacitance detection; Participatory sensing; Statistics and Probability; 3304; Condensed Matter Physics; Applied Mathematics
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1027904
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