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Modeling of an Inverted Drift Tube for Improved Mobility Analysis of Aerosol Particles.
Nahin, Minal; Oberreit, Derek; Fukushima, Nobuhiko; Larriba-Andaluz, Carlos.
Afiliação
  • Nahin M; Integrated Nanosystems Development Institute(INDI), IUPUI, Department of Mechanical Engineering, Indianapolis, IN, 46106, USA.
  • Oberreit D; Kanomax FMT Inc., St. Paul, MN, 55110, USA.
  • Fukushima N; Kanomax Japan Inc., Shimizu, Suita-shi, Osaka, 565-0805, Japan.
  • Larriba-Andaluz C; Integrated Nanosystems Development Institute(INDI), IUPUI, Department of Mechanical Engineering, Indianapolis, IN, 46106, USA. clarriba@iupui.edu.
Sci Rep ; 7(1): 6456, 2017 07 25.
Article em En | MEDLINE | ID: mdl-28744005
ABSTRACT
A new mobility particle analyzer, which has been termed Inverted Drift Tube, has been modeled analytically as well as numerically and proven to be a very capable instrument. The basis for the new design have been the shortcomings of the previous ion mobility spectrometers, in particular (a) diffusional broadening which leads to degradation of instrument resolution and (b) inadequate low and fixed resolution (not mobility dependent) for large sizes. To overcome the diffusional broadening and have a mobility based resolution, the IDT uses two varying controllable opposite forces, a flow of gas with velocity v gas , and a linearly increasing electric field that opposes the movement. A new parameter, the separation ratio Λ = v drift /v gas , is employed to determine the best possible separation for a given set of nanoparticles. Due to the system's need to operate at room pressure, two methods of capturing the ions at the end of the drift tube have been developed, Intermittent Push Flow for a large range of mobilities, and Nearly-Stopping Potential Separation, with very high separation but limited only to a narrow mobility range. A chromatography existing concept of resolving power is used to differentiate between peak resolution in the IDT and acceptable separation between similar mobility sizes.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2017 Tipo de documento: Article