3.8.4 CO2, NO2, SO2, OCS, N2O, O3 on metal surfaces

Koel, Bruce E.; Panja, Chameli; Kim, J.; Sámano, E. C.

doi:10.1007/11364856_3

Cited by 1 publication

(1 citation statement)

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“…The mixture contains methane at a partial pressure of 0.9 mPa, CO 2 at a partial pressure of 0.3 mPa and traces of benzene (its partial pressure is 1 Pa) at 200 K. The individual contribution of methane is beyond the detection limit, but that makes the problem easier to analyze. Compared to carbon-dioxide or higher hydrocarbons, methane has low desorption energy (Koel et al, 2006;Wetterer et al, 1998), it reaches very fast the equilibrium and the existence of any knee (for that combination of pressure/temperature) indicates the presence of impurities from natural gas, landfill gas or biogas. Based on Fig.…”

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confidence: 99%

Plasmonic sensors in multi-analyte environment: Rate constants and transient analysis

Jakšić

Randjelović

Jakšić

et al. 2014

Chemical Engineering Research and Design

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This paper investigates multicomponent gas adsorption at the active surface of plasmonic chemical sensors and shows that there are situations where transients in a single sensor element can be used for simultaneous detection of different gases in multicomponent mixtures. A general master equation set is provided, describing multicomponent adsorption. Analytical expressions for sorption rates are derived and high-accuracy simplified models are proposed. Expressions for adsorption rate constants and rates and for number of binding sites are proposed. The derived analytical model takes into account the adsorbate molecule size, distribution of binding sites as determined by the crystallographic structure of the sensor surface and multi-site adsorption. The model allows for the calculation and optimization of deterministic behavior of the system. It is shown that trace amounts of target gas species can be made detectable by adding controlled amounts of known carrier gas. Besides being applicable in plasmonic sensor design and optimization, the obtained results may be of importance in situations where fast and low-cost detection of trace amounts of gases is needed, including natural gas leakage in residential heating, radon outgassing in dwellings, environmental protection, homeland defense and hazardous materials management, greenhouse footprint investigations, etc. HIGHLIGHTS  general equation set for multicomponent monolayer gas adsorption is derived  analytical model of adsorption takes into account adsorbate molecule size  adsorption rate constants are modeled using chemical software and data mining  simultaneous plasmonic sensing of several gas species in mixture is considered

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confidence: 99%