Asymptotic Observers and Integer Programming for Functional Classification of a Microbial Community in a Chemostat

摘要

From genetic sequencing, dry biomass, and metabolites measurements, the assignment of functions to the species present in chemostat experiments was solved by merging chemostat modelling and quadratic mixed integer programming. The method was tested on a nitrification bioprocess where two functions are known to drive the system. Sensitivity of the method, its advantages, and limitations are discussed.