title: Ramified Challenges: Monitoring and Modeling of Hairy Root Growth in Bioprocesses--A Review.
abstract: The review presents a comprehensive overview on available solutions for the monitoring and modeling of various aspects of hairy root growth processes. Several online and offline measurement principles get explained exemplary and are being compared. It was found that no direct online measurement principle for hairy root biomass in submerged and solid-state culturing environment is available. However, certain indirect methods involving one or more measurement values have been developed for biomonitoring of hairy roots especially in bioreactors. In the field of modeling of hairy root growth processes, four independent architectures (continuous models, metabolic flux analysis, agent-based models, and artificial neural networks) are described and compared including literature references. The discussion is structured into microscopic model approaches, addressing only certain aspects of growth, and macroscopic model approaches, describing the hairy root network as a whole. An agent-based macroscopic model based on phenomenological data acquired with systematic imaging of hairy roots on culture dishes together with a 3D visualization of simulation results is presented in detail.
authors: Institute of Food Technology and Bioprocess Engineering, Technische Universität Dresden, Bergstrasse 120, 01069, Dresden, Germany, felix.lenk@tu-dresden.de.
authors: Felix
authors: F
authors: Lenk
authors: Thomas
authors: T
authors: Bley
mesh_terms: D027461:Beta vulgaris / Q000254:growth & development; D018533:Biomass; D019149:Bioreactors; D001709:Biotechnology / Q000379:methods*; D003198:Computer Simulation; D021621:Imaging, Three-Dimensional; D008962:Models, Theoretical; D016571:Neural Networks, Computer; D018521:Plant Physiological Phenomena; D018517:Plant Roots / Q000254:growth & development*