A predictive model for taste taint accumulation in Recirculating Aquaculture Systems (RAS) farmed-fish – demonstrated with geosmin (GSM) and 2-methylisoborneol (MIB)

Priyantha I. Hathurusingha and Kenneth R. Davey

Ecological Modelling, 2014, vol. 291, issue C, 242-249

Abstract: The accumulation of “earthy” or “muddy” off-flavours due to taste taint accumulation as geosmin (GSM) or 2-methylisoborneol (MIB) in the flesh of fish from Recirculated Aquaculture Systems (RAS) is a major concern globally. To aid RAS farm management a time dependent concentration predictive model was developed. The model is a sum of two exponential terms with time that simulate simultaneous taint uptake and elimination. Illustrative simulations for RAS barramundi (Lates calcarifer) a premium fish grown at a water temperature of 28°C show that the threshold for consumer rejection of 0.70μgkg−1 MIB will be reached at 225 days. At a typical RAS harvest of 240 days the concentration of MIB is predicted to be four (4) times that for GSM. Because model predictions showed good agreement with independent data for both RAS barramundi and rainbow trout (Oncorhynchus mykiss) it was concluded the model was free of programming and computational errors and of a generalized form. Model simulations revealed a 5°C variance in RAS growth temperature did not meaningfully impact taint accumulation as either GSM or MIB. A major benefit to the RAS industry is that model simulations can be used to investigate a range of growth protocols in RAS farming to limit taint. An advantage is the model can be conveniently simulated in standard spread-sheeting tools.

Keywords: 2-Methylisoborneol (MIB); Geosmin (GSM); Recirculating Aquaculture System (RAS); Taste taint in fish; Taste taint prediction; Time dependent concentration modelling (search for similar items in EconPapers)
Date: 2014
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S030438001400386X
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:291:y:2014:i:c:p:242-249

DOI: 10.1016/j.ecolmodel.2014.08.009

Access Statistics for this article

Ecological Modelling is currently edited by Brian D. Fath

More articles in Ecological Modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().