2022
DOI: 10.3390/s22052038
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Detection of Airborne Nanoparticles through Enhanced Light Scattering Images

Abstract: A new method is proposed in this paper to detect airborne nanoparticles, detecting the light scattering caused by both the particle and the surrounding molecules, which can surpass the limitations of conventional laser optical methods while maintaining simplicity and cost-effectiveness. This method is derived from a mathematical analysis that describes the particle light scattering phenomenon more exactly by including the influence of light scattered from surrounding gas molecules. The analysis shows that it i… Show more

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Cited by 3 publications
(1 citation statement)
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“…In parallel with other methods, alternative platforms which seem to be far from most of the abovementioned limitations are the optical sensors. The variety of these techniques is very large but the most important ones are based on fluorescence or luminescence spectroscopy, dynamic/static scatterometry, surfaceenhanced Raman spectroscopy (SERS), laser heating of the atmosphere under study and tracking the changes of the optical features, plasmonic imaging, and optical fiber-based sensing [9][10][11]. Although each of these valuable approaches has its own advantages and has been able to increase hope in the possibility of HMNP detection, they have also some challenges to be implemented in practice.…”
Section: Introductionmentioning
confidence: 99%
“…In parallel with other methods, alternative platforms which seem to be far from most of the abovementioned limitations are the optical sensors. The variety of these techniques is very large but the most important ones are based on fluorescence or luminescence spectroscopy, dynamic/static scatterometry, surfaceenhanced Raman spectroscopy (SERS), laser heating of the atmosphere under study and tracking the changes of the optical features, plasmonic imaging, and optical fiber-based sensing [9][10][11]. Although each of these valuable approaches has its own advantages and has been able to increase hope in the possibility of HMNP detection, they have also some challenges to be implemented in practice.…”
Section: Introductionmentioning
confidence: 99%