Sensitive photonic system to measure oxidative potential of airborne nanoparticles and ROS levels in exhaled air

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State: Public
Version: Final published version
Serval ID
serval:BIB_A4206687F497
Type
Inproceedings: an article in a conference proceedings.
Collection
Publications
Institution
Title
Sensitive photonic system to measure oxidative potential of airborne nanoparticles and ROS levels in exhaled air
Title of the conference
Eurosensors 2015, XXIX ed., Freiburg, Germany, September 6-9, 2015
Author(s)
Laulagnet Alexis, Sauvain Jean-Jacques, Concha-Lozano Nicolas, Riediker Michael, Suarez Guillaume
ISBN
1877-7058
Publication state
Published
Issued date
2015
Peer-reviewed
Oui
Volume
120
Series
Procedia Engineering
Pages
632-636
Language
english
Abstract
A photonic system has been developed that enables sensitive quantitative determination of reactive oxygen species (ROS) - mainly hydrogen peroxide (H2O2) - in aerosol samples such as airborne nanoparticles and exhaled air from patients. The detection principle relies on the amplification of the absorbance under multiple scattering conditions due to optical path lengthening [1] and [2]. In this study, the presence of cellulose membrane that acts as random medium into the glass optical cell considerably improved the sensitivity of the detection based on colorimetric FOX assay (FeII/orange xylenol). Despite the loss of assay volume (cellulose occupies 75% of cell volume) the limit of detection is enhanced by one order of magnitude reaching the value of 9 nM (H2O2 equivalents). Spectral analysis is performed automatically with a periodicity of 5 to 15 s, giving rise to real-time ROS measurements. Moreover, the elution of air sample into the collection chamber via a micro-diffuser (impinger) enables quantitative determination of ROS contained in or generated from airborne samples. As proof-of-concept the photonic ROS detection system was used in the determination of both ROS generated from traffic pollution and ROS contained in the exhaled breath as lung inflammation biomarkers.
Keywords
Nanoparticles , Biosensing Techniques , Reactive Oxygen Species , Hydrogen Peroxide ,
Open Access
Yes
Create date
28/01/2016 18:09
Last modification date
20/08/2019 16:09
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