Unknown

Dataset Information

0

A tunable high-pass filter for simple and inexpensive size-segregation of sub-10-nm nanoparticles.


ABSTRACT: Recent advanced in the fields of nanotechnology and atmospheric sciences underline the increasing need for sizing sub-10-nm aerosol particles in a simple yet efficient way. In this article, we develop, experimentally test and model the performance of a High-Pass Electrical Mobility Filter (HP-EMF) that can be used for sizing nanoparticles suspended in gaseous media. Experimental measurements of the penetration of nanoparticles having diameters down to ca 1nm through the HP-EMF are compared with predictions by an analytic, a semi-empirical and a numerical model. The results show that the HP-EMF effectively filters nanoparticles below a threshold diameter with an extremely high level of sizing performance, while it is easier to use compared to existing nanoparticle sizing techniques through design simplifications. What is more, the HP-EMF is an inexpensive and compact tool, making it an enabling technology for a variety of applications ranging from nanomaterial synthesis to distributed monitoring of atmospheric nanoparticles.

SUBMITTER: Surawski NC 

PROVIDER: S-EPMC5406831 | biostudies-other | 2017 Apr

REPOSITORIES: biostudies-other

altmetric image

Publications

A tunable high-pass filter for simple and inexpensive size-segregation of sub-10-nm nanoparticles.

Surawski N C NC   Bezantakos S S   Barmpounis K K   Dallaston M C MC   Schmidt-Ott A A   Biskos G G  

Scientific reports 20170427


Recent advanced in the fields of nanotechnology and atmospheric sciences underline the increasing need for sizing sub-10-nm aerosol particles in a simple yet efficient way. In this article, we develop, experimentally test and model the performance of a High-Pass Electrical Mobility Filter (HP-EMF) that can be used for sizing nanoparticles suspended in gaseous media. Experimental measurements of the penetration of nanoparticles having diameters down to ca 1nm through the HP-EMF are compared with  ...[more]

Similar Datasets

| S-EPMC2700907 | biostudies-other
| S-EPMC2715369 | biostudies-literature
| S-EPMC9119032 | biostudies-literature
| S-EPMC3912943 | biostudies-literature
| S-EPMC5848075 | biostudies-literature
| S-EPMC3105591 | biostudies-literature
| S-EPMC6744495 | biostudies-literature
| S-EPMC3910633 | biostudies-literature
| S-EPMC8433410 | biostudies-literature