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Fish processing conditions have a great impact on finalproducts, and they are mostly associated with changes of chemicalcomposition and the degradation of muscle proteins(Aussanasuwannakul et al., 2010; Cheng, Sun, Han, & Zeng,2014). Postharvest handling of fish affects the functional propertiesof proteins and sensory quality, such as loss of protein solubility,emulsifying capacity, water-binding capacity, thaw drip, and texturescores (Hong et al., 2013; Mohan, Ramachandran, & Sankar,2006).The freezing of fish products is a common practice to extendthe shelf-life of foods, and the effect of frozen storage on theshelf-life of these products, and on the techno-functional properties(Liu, Liang, Xia, Regenstein, & Zhou, 2013; Sanchez-Valencia,Sanchez-Alonso, Martinez, & Careche, 2014), has been widelyreported. There are important changes related to ice crystals duringfrozen storage, as well as functional and enzymatic changes ofprotein structure; changes in functionality during frozen storage,such as increase in shear resistance of muscle, protein extractability,solubility and viscosity (Sanchez-Valencia et al., 2014) andprotein denaturation (Saeed & Howell, 2002), have been attributedto conformational transitions of proteins, together with atransfer of myofibrillar water to larger spatial domains in themuscle (Sanchez-Valencia et al., 2014) and also to the intermolecularaggregation of proteins (Saeed & Howell, 2002). Dueto the action of enzymes present in fish products, ammonia,formaldehyde and trimethylamine nitrogen (TMA-N) are producedas a result of the degradation of trimethylamine-N-oxide(TMAO) inducing protein aggregation, thus reducing protein abilityto bind water (Emire & Gebremariam, 2010; Tahergorabi &Jaczynski, 2011), and producing changes in protein, causing softness,spoilage and quality degradation (Tahergorabi & Jaczynski,2011). In order to evaluate and quantify these chemical, biochemicaland physical changes during frozen fish storage, quality indicatorshave been employed, such as basic volatile spoilage compounds(ammonia (NH3), dimethylamine (DMA) and trimethylamine(TMA), collectively known as total volatile basic nitrogen (TVB-N)(Emire & Gebremariam, 2010; Hong et al., 2013; Jeyasanta,Prakash, Carol, & Patterson, 2013; Lakshmisha, Ravishankar,Ninan, Mohan, & Gopal, 2008). Similarly, texture profile analysis(TPA) of fish flesh (Coppes-Petricorena, 2011), measured by rheologicaland instrumental techniques, and organoleptic/sensoryassessment, using trained panels (Isaksson, Swensen, Taylor,Fjaera, & Skjervold, 2002; Wu, Sun, & He, 2014), were also used.However, it has been proved that textural measurement by instrumentalanalysis methods is better and more precise by reason ofreducing the variation during measurements arising from humanfactors (Cheng et al., 2014).These quality indicators change over time, and therefore can becaptured in mathematical models containing characteristic kineticparameters, to improve understanding, prediction, and control(van Boekel, 2008) and, thus, can be used by the industry to predictand control quality changes and the shelf-life of foods.The objective of this study was to evaluate and quantify proteinand textural changes during frozen storage of Atlantic salmon(Salmo salar) fillets at different frozen storage temperatures(268 K, 264 K, 260 K and 255 K) and modeling thesemathematically.
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