This study comprised a literature review of predictive and rapid diagnostic technologies for the seafood industry. Predictive technologies are becoming well established in the food industry to deal with issues of safety, spoilage and shelf-life. The Seafood Shelf-life and Safety Predictor (SSSP), available as freeware, is most commonly used for seafoods throughout the globe.

However, information on specific spoilage organisms (SSO) under Australian conditions is lacking and it is therefore not clear which particular organisms, conditions or compositional characteristics are critical to minimise spoilage losses. The use of the concept of icedays (equivalent days in ice) for expressing transit periods, shelf-lives and storage periods could greatly improve communication and understanding along the production chain and the use of the Quality Index, which is consistent with icedays, similarly could improve understanding and aid in troubleshooting.