Cargando…
A Hyphenated Preconcentrator-Infrared-Hollow-Waveguide Sensor System for N(2)O Sensing
Following the Kyoto protocol, all signatory countries must provide an annual inventory of greenhouse-gas emission including N(2)O. This fact associated with the wide variety of sources for N(2)O emissions requires appropriate sensor technologies facilitating in-situ monitoring, compact dimensions, e...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5897552/ https://www.ncbi.nlm.nih.gov/pubmed/29650982 http://dx.doi.org/10.1038/s41598-018-23961-8 |
Sumario: | Following the Kyoto protocol, all signatory countries must provide an annual inventory of greenhouse-gas emission including N(2)O. This fact associated with the wide variety of sources for N(2)O emissions requires appropriate sensor technologies facilitating in-situ monitoring, compact dimensions, ease of operation, and sufficient sensitivity for addressing such emission scenarios. In this contribution, we therefore describe an innovative portable mid-infrared chemical sensor system for quantifying gaseous N(2)O via coupling a substrate-integrated hollow waveguide (iHWG) simultaneously serving as highly miniaturized mid-infrared photon conduit and gas cell to a custom-made preconcentrator. N(2)O was collected onto a solid sorbent material packed into the preconcentrator unit, and then released via thermal desorption into the iHWG-MIR sensor utilizing a compact Fourier transform infrared (FTIR) spectrometer for molecularly selective spectroscopic detection with a limit of detection (LOD) at 5 ppbv. Highlighting the device flexibility in terms of sampling time, flow-rate, and iHWG design facilitates tailoring the developed preconcentrator-iHWG device towards a wide variety of application scenarios ranging from soil and aquatic emission monitoring and drone- or unmanned aerial vehicle (UAV)-mounted monitoring systems to clinical/medical analysis scenarios. |
---|