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Effective algorithmic operational framework for fish texture evaluation in industry:Achieving maturity

Aquaculture and Fisheries 2023年第4期8卷 422-430页

作者： D.Dimogianopoulos K.Grigorakis University of West Attica Department of Industrial Design and Production EngineeringAthens12244Greece Hellenic Center for Marine Research Institute of Marine BiologyBiotechnology&AquacultureAnavyssosAttica19013Greece

Reliable,nondestructive fish freshness evaluation applicable during fish commercialization has been continuously pursued by scientists and *** into account that fish texture is primarily affected even at early stages of post-mortem storage,a relevant nondestructive testing framework for rapid textural assessment of fish freshness was developed in the ***,an algorithm operating within the aforementioned framework and optimized for use in industrial environments is *** bass(Dicentrarchus labrax)both freshly killed and stored on ice for 6 days have been used for comparative *** fish is part of a system,which is vibrationtested via a new testing protocol designed for easy implementation and robustness to *** the same time,a new closed-form analytical expression for the system response to the specific testing is computed and used along with experimental data,for obtaining specific mechanical(thus muscle-structural)characteristics of fish *** computation is designed to only require readily available routines found in most relevant *** algorithmic operational framework has been used in two different test setups(a custom-built test rig and a prototype device),with results following remarkably similar trends,clearly discriminating different textural(thus freshness)characteristics,and consequently validating the proposed approach.

关键词： texture assessment Freshness evaluation Sea bass Physics-based model Closed-form analytical solution

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