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

作     者：D.Dimogianopoulos K.Grigorakis 

作者机构：University of West AtticaDepartment of Industrial Design and Production EngineeringAthens12244Greece Hellenic Center for Marine ResearchInstitute of Marine BiologyBiotechnology&AquacultureAnavyssosAttica19013Greece 

出 版 物：《Aquaculture and Fisheries》 (渔业学报（英文）)

年 卷 期：2023年第8卷第4期

页      面：422-430页

核心收录：

学科分类：090801[农学-水产养殖] 0908[农学-水产] 09[农学] 

基　　金：FutureEUAqua project(Future growth in sustainable,resilient and climate friendly organic and conventional European aquaculture)funded by European Union’s Horizon 2020 research and innovation program under grant agreement No 817737 The authors are particularly grateful to associates Mr.Emmanuel Tzevelekakis MSc who has been in charge for designing and building the Texture Evaluation device used for part of testing in this work and Dr.Panagiotis Christofilogiannis(AQUARK)for coordinating and providing the means for the Texture Evaluation device development 

主　　题：Texture assessment Freshness evaluation Sea bass Physics-based model Closed-form analytical solution 

摘      要：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.