Population balance modeling of the conidial aggregation of Aspergillus niger.
Numerous biotechnological production processes are based on the submerse cultivation of filamentous fungi. Process design, however, is often hampered by the complex growth pattern of these organisms. In the morphologic development of coagulating filamentous fungi, like Aspergillus niger, conidial aggregation is the first step of filamentous morphogenesis. For a proper description of this phenomenon it is necessary to characterize conidial populations. Kinetic studies performed with an in-line particle size analyzer suggested that two distinct aggregation steps have to be considered. The first step of conidial aggregation starts immediately after inoculation. Both the rate constants of formation and disintegration of aggregates have been determined by measuring the concentration of conidia at the beginning of the cultivation and the concentration of particles at steady state during the first hours of cultivation. In contrast to the first aggregation step, where the collision of conidia is presumed to be responsible for the process, the second aggregation step is thought to be initiated by germination of conidia. Growing hyphae provide additional surface for the attachment of non- germinated conidia, which leads to a strong decrease in particle concentration. The specific hyphal length growth rate and the ratio of particle concentration to the growing adhesion hyphal surface are decisive matters of the second aggregation step. Both aggregation steps can be described by population dynamics and simulated using the program package PARSIVAL (PARticle SIze eVALution) for the treatment of general particle population balances.
Lin
P-J
PJ
Institute of Biochemical Engineering, Technische Universität Braunschweig, Gaussstrasse 17, 38106 Braunschweig, Germany.
Grimm
L H
LH
Wulkow
M
M
Hempel
D C
DC
Krull
R
R
D001234:Aspergillus niger / Q000502:physiology*; D019149:Bioreactors / Q000382:microbiology; D025301:Hyphae / Q000502:physiology; D007218:Industrial Microbiology / Q000379:methods; D008954:Models, Biological; D013172:Spores, Fungal / Q000378:metabolism*