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therebyanchoring it to the alumina support. Goldwas loaded onto the supports as described
elsewhere [14].
2.3.Catalyst testingconditions
Catalyst testing forglycerol oxidationwasperformedat 90 C(with temperatureoptimisedat
60and90 C)andoxygenpressurekeptat8.5barusingaglass-linedParrreactor (model4563),
in batchmode under agitationwith stirrer speed kept constant at 1000 rpm, using 0.5 g of
catalyst for 10 g of glycerol dissolved in 90 g of de-ionizedwater. To this solution, NaOH
pelletswere added such that themole ratio of glycerol to the basewas always 1:2. In-depth
details areprovidedelsewhere [14].
2.4.Catalyst characterisation
2.4.1.High resolution transmission electronmicroscopy (HRTEM)
HRTEManalysiswasconductedonafieldemissionmicroscope, the JEM2100Felectronmicro-
scope from JEOL Ltd., fittedwith energy-dispersive X-ray spectroscopy (EDX), wavelength
dispersive spectroscopy (WDS)andelectronbeambackscattereddiffraction (EBSD)operating
on Oxford Instruments software. The instrument was operated at an accelerating electron
beamof 200kVand images captured in thebright fieldmode.TheNano-measurer 1.2 ‘Scion
Imager’ softwarewasused forparticle sizeanalysis.
2.4.2.Temperatureprogrammeddesorption (TPD)
Theacidityofthematerialswasqualitativelymeasuredbytemperatureprogrammeddesorption
(TPD)ofNH3onamicromeriticsautomatedcatalyst characterisationsystem:modelAutoChem
II2920chemisorptionanalyser.NH3-TPDstudieswereperformedbyloading0.25gcatalyst ina
U-tube reactor and cleaning the sample in a gas stream of helium at 120 C for an hour at a
ramping rateof 10 Cmin 1 to removemoistureandother adsorbedspecies.Amixtureof 10%
NH3balanced inHewas flushedover the sample isothermally at 120 C.After adsorptionwas
achieved at 120 C, the NH3 desorption measurements ensued at 120 C using the thermo-
conductivitydetector (TCD)anddatacollectedupto500 Catarampingrateof15 Cmin 1.
2.5.Modelsandcomputationalmethods
2.5.1.Kinetic parameter estimation
The regression analysis of the experimental datawas performed by use of Easy Regression
Analysis (ERA 3.0) software [15, 16]. The software uses the sum of the square of residual
deviations as the objective function. All the kinetic parameters were estimated at a 95%
confidence limitusingamodifiedadaptive randomsearchalgorithm.
2.5.2.DFTmethodology
Unlessotherwisestated,allelectronicenergiesofreactants,productsandtransitionstateswere
determined by density functional theory (DFT) using the DMol3 code [17, 18] within the
Oxidation of Glycerol to Lactic Acid by Gold on Acidified Alumina: A Kinetic and DFT Case Study
http://dx.doi.org/10.5772/intechopen.70485 115
zurück zum
Buch Advanced Chemical Kinetics"
Advanced Chemical Kinetics
- Titel
- Advanced Chemical Kinetics
- Autor
- Muhammad Akhyar Farrukh
- Herausgeber
- InTech
- Ort
- Rijeka
- Datum
- 2018
- Sprache
- englisch
- Lizenz
- CC BY 4.0
- ISBN
- 978-953-51-3816-7
- Abmessungen
- 18.0 x 26.0 cm
- Seiten
- 226
- Schlagwörter
- Engineering and Technology, Chemistry, Physical Chemistry, Chemical Kinetics
- Kategorien
- Naturwissenschaften Chemie