TAP-2: An interrogative kinetics approach

Gleaves, John; Yablonskii, G. S.; Phanawadee, Phungphai; Schuurman, Y.

doi:10.1016/s0926-860x(97)00124-5

Cited by 336 publications

(338 citation statements)

References 23 publications

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“…TAP has been utilised for the detailed kinetic characterization of various heterogeneous catalysts in the gas phase and has been applied to study a wide range of reactions and catalysts (Gleaves et al, 1988(Gleaves et al, , 1997(Gleaves et al, and 2010Pérez -Ramírez and Kondratenko, 2007), including diffusivity studies (Nijhuis et al, 1997 andDelgado et al, 2004;Colaris et al, 2002;van Veen et al, 2003) in a range of porous materials (Li et al, 2007). More recently, TAP has also been utilised to study intact monoliths (Gleaves et al, 2010;Kumar et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

Using temporal analysis of products and flux response technology to determine diffusion coefficients in catalytic monoliths

Maguire

Sasegbon

Abdelkader

et al. 2013

Chemical Engineering Science

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Section: Introductionmentioning

confidence: 99%

Using temporal analysis of products and flux response technology to determine diffusion coefficients in catalytic monoliths

Maguire

Sasegbon

Abdelkader

et al. 2013

Chemical Engineering Science

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“…The interactions of N 2 O and NO with Fe-containing ZSM-5 and the surface species were investigated by multipulse, pumpprobe, and temperature-programmed desorption (TPD) in vacuum experiments using a TAP-2 setup [24]. It consists of four main parts: a gas mixing station, a microreactor with four high-speed pulse valves, a vacuum system, and a mass spectrometer.…”

Section: Temporal Analysis Of Productsmentioning

confidence: 99%

“…The TAP multifunctional reactor [24] is a suitable technique to dose precisely reactants, to minimize homogeneous gasphase reactions due to the Knudsen diffusion regime, and to dehydroxylate the catalyst under vacuum. Hydroxylation is well known to affect the ZSM-5 activity for N 2 O decomposition [17,25,26] rendering more difficult mechanistic observations, which can be minimized in the TAP reactor under vacuum and at small amounts of reactants.…”

Section: Introductionmentioning

confidence: 99%

N₂O Decomposition over Fe‐ZSM‐5 Studied by Transient Techniques

et al. 2009

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The observed rate increase is assigned to a slow accumulation on the surface of NO x,ads species formed from N 2 O and participating as co-catalyst in the N 2 O decomposition. The NO x,ads species accelerates the atomic oxygen recombination/ desorption, which is the rate-determining step of N 2 O decomposition. The formation and accumulation of NO x,ads species during N 2 O interaction with the catalyst was confirmed by TAP studies. The amount of NO x,ads was found to depend on the number of N 2 O pulses injected into the TAP reactor. In the presence of adsorbed NO x on the catalyst surface (NO x,ads ) the desorption of dioxygen is facilitated. This results in a shift of the oxygen desorption temperature from 744 K to considerably lower temperatures of 580 K in TPD experiments. Pulses of gaseous NO had a similar effect leading to the formation NO x,ads , thus facilitating the oxygen recombination/desorption.

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“…Throughout this paper, typical experimental data from a Temporal Analysis of Products (TAP) setup are used for illustration purposes (Gleaves et al, 1988(Gleaves et al, , 1997Yablonsky et al, 2003). The latter contains a tubular reactor (length typically 3 cm, diameter 5 mm) loaded with a fixed bed of solid catalyst and/or inert particles.…”

Section: Experimental Time Seriesmentioning

confidence: 99%

Second-order statistical regression and conditioning of replicate transient kinetic data

Roelant¹,

Constales²,

Keer³

et al. 2008

Chemical Engineering Science

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A new method has been developed to estimate physico-chemical parameters from transient kinetic data: second-order statistical regression (SOSR). It allows to account for heteroskedasticity and nonwhiteness of the noise in the time series measured. SOSR makes use of replicates to estimate the second-order statistics, i.e. the autocovariance pattern of the noise. A sample principal noise component analysis of the experimental time series allows nonlinear least-squares (NLSQ) regression of the latter. The method has been validated by regression of artificially generated experimental data and the results have been compared with those obtained with direct NLSQ regression. The SOSR has also been applied to the irreversible adsorption of oxygen on a reduced vanadia/silica catalyst and the interaction of propane with a copper/ceria catalyst, as studied with a Temporal Analysis of Products (TAP) setup. In general, compared with those obtained with direct NLSQ regression, the parameter estimates and their confidence intervals are more accurate.

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TAP-2: An interrogative kinetics approach

Cited by 336 publications

References 23 publications

Using temporal analysis of products and flux response technology to determine diffusion coefficients in catalytic monoliths

Using temporal analysis of products and flux response technology to determine diffusion coefficients in catalytic monoliths

N₂O Decomposition over Fe‐ZSM‐5 Studied by Transient Techniques

Second-order statistical regression and conditioning of replicate transient kinetic data

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TAP-2: An interrogative kinetics approach

Cited by 336 publications

References 23 publications

Using temporal analysis of products and flux response technology to determine diffusion coefficients in catalytic monoliths

Using temporal analysis of products and flux response technology to determine diffusion coefficients in catalytic monoliths

N2O Decomposition over Fe‐ZSM‐5 Studied by Transient Techniques

Second-order statistical regression and conditioning of replicate transient kinetic data

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Product

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N₂O Decomposition over Fe‐ZSM‐5 Studied by Transient Techniques