A new transient predictive model to quantify taint as either geosmin (GSM) and 2-methylisoborneol (MIB) in Rainbow Trout (Oncorhynchus mykiss) farmed in Recirculating Aquaculture Systems (RAS)

Abstract

Taint, as off-flavour, accumulation in fish as either geosmin (GSM) or 2-methylisoborneol (MIB) is a major concern globally in fish farmed in Recirculated Aquaculture Systems (RAS), especially in European farmed rainbow trout (Oncorhynchus mykiss). To aid farm management in RAS growth protocols a new transient (unsteady-state) predictive model for taint was developed. The approach is based on conservation of mass and energy and established thermodynamics. The model is the sum of two exponential terms with growth-time that simulate both taint uptake (through gills) and elimination (through gills, growth dilution, and metabolic-transformations). The model was simulated with growth water concentrations of GSM and MIB for the typical growth period of 9 months and gave good agreement with independent data. It is concluded the model is therefore free of computational and programing errors. It is planned the model be used to develop specific growth protocols to minimize taint development in fish in RAS systems.