About: Effects of inlet/outlet configurations on the electrostatic capture of airborne nanoparticles and viruses

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About: Effects of inlet/outlet configurations on the electrostatic capture of airborne nanoparticles and viruses Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Effects of inlet/outlet configurations on the electrostatic capture of airborne nanoparticles and viruses
Creator	Akin, Demir Bashir, Rashid Jang, Jaesung
Source	PMC
abstract	Motivated by capture and detection of airborne biological agents in real time with a cantilever biosensor without introducing the agents into liquids, we present the effects of inlet/outlet configurations of a homemade particle collector on the electrostatic capture of airborne 100 nm diameter nanoparticles under swirling gas flows. This particle collector has three different inlet/outlet configurations: forward inlet/outlet (FO), backward inlet/outlet (BO) and straight inlet/outlet (SO) configurations. We also present the electrostatic capture of Vaccinia viruses using the same particle collector and compare these virus measurements with the nanoparticle cases. The most particles were collected in the FO configuration. The numbers of particles captured in the BO and SO configurations were close within their standard deviations. For all the three configurations tested, the number of particles captured in the center electrode C was much smaller than those captured in the other electrodes at a flow rate of 1.1 l min(−1) and an applied potential of 2 kV. Using a commercial CFD code FLUENT, we also simulated the effects of the three inlet/outlet configurations on the particle capture in terms of particle trajectories, velocities and travel times. This simulation was in a good agreement with measurements that the FO configuration is the most favorable to particle capture among the tested configurations at a flow rate of 1.1 l min(−1). The effects of particle diameters on the capture will also be discussed. This collector can be used for real-time monitoring of bioaerosols along with cantilever biosensors.
has issue date	2008-05-19(xsd:dateTime)
bibo:doi	10.1088/0957-0233/19/6/065204
bibo:pmid	32288327
has license	no-cc
sha1sum (hex)	325acd23f530a5dfbfd5a2c7918149286e7f5bf2
schema:url	https://doi.org/10.1088/0957-0233/19/6/065204
resource representing a document's title	Effects of inlet/outlet configurations on the electrostatic capture of airborne nanoparticles and viruses
has PubMed Central identifier	PMC7115746
has PubMed identifier	32288327
schema:publication	Meas Sci Technol
resource representing a document's body	covid:325acd23f530a5dfbfd5a2c7918149286e7f5bf2#body_text
is schema:about of	named entity 'configurations' named entity 'configurations' named entity 'nanoparticles' named entity 'electrodes' named entity 'collector' named entity 'cases' named entity 'biosensors' named entity 'captured' named entity 'capture' named entity 'electrostatic' named entity 'DETECTION' named entity 'PRESENT' named entity 'SMALLER' named entity 'ELECTROSTATIC' covid:arg/325acd23f530a5dfbfd5a2c7918149286e7f5bf2 named entity 'particle' named entity 'trajectories' named entity 'capture' named entity 'capture' named entity 'nanoparticle' named entity 'close' named entity 'standard deviations' named entity 'particle' named entity 'CFD' named entity 'real time' named entity 'flow rate' named entity 'monitoring' named entity 'airborne' named entity 'bioaerosols' named entity 'CFD' named entity 'electrostatic' named entity 'standard deviations' named entity 'electrostatic' named entity '1.1' named entity 'Vaccinia' named entity 'flow rate' named entity 'introducing' named entity '1.1' named entity 'nanoparticle' named entity 'flow rate' named entity 'cantilever' named entity 'This' named entity 'particle' named entity 'terms' named entity 'cantilever' named entity 'biological agents' named entity 'biosensors' named entity 'COLLECTED' named entity 'FLOWS' named entity 'BIOSENSORS' named entity 'MUCH' named entity 'EFFECTS' named entity 'BACKWARD' named entity 'USING' named entity 'ELECTRODE' named entity 'electrodes' named entity 'viruses' named entity 'viruses' named entity 'NUMBER OF' named entity 'LIQUIDS' named entity 'VIRUSES' named entity 'CONFIGURATION' named entity 'TIMES' named entity 'DEVIATIONS' named entity 'THEIR' named entity 'THESE' named entity '921' named entity 'STANDARD' named entity 'VIRUS' named entity 'NUMBERS' named entity 'INLET' named entity 'USED' named entity 'PARTICLE' named entity 'BIOSENSOR' named entity 'POTENTIAL' named entity 'COMPARE' named entity 'CAPTURE' named entity 'CODE' named entity 'REAL-TIME'

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