|Book Series (74)||
|Biochemistry, molecular biology, gene technology||105|
|Domestic and nutritional science||39|
|Environmental research, ecology and landscape conservation||125|
|ISBN-13 (Hard Copy)||9783736970540|
|Place of Dissertation||Braunschweig|
Industrial chemistry and chemical engineering
Mechanical and process engineering
|Keywords||Acetate oxidation, Bioelectrochemical system, Chemical Engineering, Catalyst, CO oxidation, Concentration pulse method, Cyclic voltammetry, Differential electrochemical mass spectrometry, Dynamic methods, Electrochemical impedance spectroscopy, Electrochemistry, Energy conversion, Frequency response analysis, Geobacter sulfurreducens, Glycerol oxidation, Heterogeneous catalysis, High pressure liquid chromatography, In-situ techniques, Macrokinetics, Mass transfer, Methanol oxidation, Microbial fuel cell, Modelling, Non-turnover-CV, Parameter identification, Platinum, Quantitative analysis, Reaction kinetics, Ruthenium, Simulation, Technical electrode, Turnover-CV|
|URL to External Homepage||https://www.tu-braunschweig.de/ines|
Electrochemical energy conversion technologies are often seen as key components for the transition to an economy that is powered by renewable energy sources. Knowledge-based design and systematic improvement of electrochemical processes is only possible if the underlying reaction kinetics are well understood.
This work is based on the hypothesis that a combination of dynamic electrochemical methods, in-operando techniques, and simulations is a feasible and advantageous way towards the determination of electrochemical reaction kinetics. To demonstrate advantages of such a combined approach, four model systems are studied. Differential electrochemical mass spectrometry (DEMS) data and electrochemical data is used to parameterise physical models of the CO and methanol electrooxidation. The second part covers bioelectrochemical reactions. The first DEMS results on acetate oxidation in electrochemically active biofilms are presented, and storage mechanisms for charge as well as substrate are quantified. Furthermore, conversion pathways and rate constants in bioelectrochemical glycerol oxidation are investigated. In conclusion, it is demonstrated that the identification of electrochemical macrokinetics benefits significantly from the application of dynamic techniques, concentration measurements, physical simulation models.