title: Comparison of static and dynamic respirometry for the determination of stoichiometric and kinetic parameters of a nitrifying process.
abstract: Respirometry consists in the measurement of the biological oxygen consumption rate under well-defined conditions and has been used for the characterization of countless biological processes. In the field of biotechnology and applied microbiology, several respirometry methods are commonly used for the determination of process parameters. Dynamic and static respirometry, which are based on oxygen measurements with or without continuous aeration, respectively, are the methods most commonly used. Additionally to several respirometry methods, different methods have also been developed to retrieve process parameters from respirometric data. Among them, methods based on model fitting and methods based on the injection of substrate pulse at increasing concentration are commonly used. An important question is then; what respirometry and data interpretation methods should be preferably used? So far, and despite a growing interest for respirometry, relatively little attention has been paid on the comparison between the different methods available. In this work, both static and dynamic respirometry methods and both interpretation methods; model fitting and pulses of increasing concentration, were compared to characterize an autotrophic nitrification process. A total of 60 respirometry experiments were done and exhaustively analysed, including sensitivity and error analyses. According to the results obtained, the substrate affinity constant (K S ) was better determined by static respirometry with pulses of increasing concentration and the maximum oxygen uptake rate (OUR ex.max ) was better determined by dynamic respirometry coupled to fitting procedure. The best method for combined K S and OUR ex.max determination was static respirometry with pulses of increasing concentration.
authors.affiliation: Departamento de Biotecnología y Bioingeniería, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional Cinvestav, Av. IPN 2508, San Pedro Zacatenco, 07360 Mexico City, Mexico. rocioramirezvargas@gmail.com
authors.forename: R
authors.initials: R
authors.lastname: Ramirez-Vargas
authors.forename: A
authors.initials: A
authors.lastname: Ordaz
authors.forename: M
authors.initials: M
authors.lastname: Carrión
authors.forename: I Y
authors.initials: IY
authors.lastname: Hernández-Paniagua
authors.forename: F
authors.initials: F
authors.lastname: Thalasso
mesh_terms: D019149:Bioreactors / Q000382:microbiology; D052918:Environmental Restoration and Remediation / Q000379:methods*; D007700:Kinetics; D058465:Nitrification; D010101:Oxygen Consumption