Investigation on the correlation between changes in water and texture properties during the processing of surimi from golden pompano (Trachinotus ovatus).

Abstract

Water and texture properties are important indicators for evaluating surimi and surimi seafood quality. The present study assessed the impact of surimi processing on the water and texture properties and analyzed their correlations. The results showed that the moisture content exhibited significant positive correlations with T22 and A22 (P <0.05). However, water-holding capacity (WHC) revealed significant negative correlation with T21 and A22 (P <0.05). Moreover, correlations between water and texture properties were observed. Moisture content and A22 displayed significant negative correlation with hardness (P <0.05). WHC exhibited significant positive correlations with cohesiveness, springiness, and chewiness (P <0.05), whereas T21 exhibited significant negative correlation with those properties (P <0.05). Springiness is an important indicator for texture properties of surimi gel. T21 and WHC exhibited significant correlations with springiness (P <0.05). We used two equations to assess the relationship between springiness and T21 (y = 9.64 × x2 - 33.79 × x + 29.62, R2 = 0.995, P <0.05) and between springiness and WHC (y = 0.57+ 9.05/{1+e[-29.29 × ( x - 83.90)] }0.01 , R2 = 0.999, P <0.05), respectively. Verification experiments proved that these two regression equations could be used to predict the change law among feature indicators during the processing of surimi seafood. The present study finds an easy-to-control method to monitor the quality of surimi production and processing for all the stages, and provides ideas for quality design of surimi products. PRACTICAL APPLICATION: The quality of surimi seafood is affected by the process used for surimi production. Early detection of the material quality can efficiently prevent resource wastage. The feature indicators and their correlations help in easy-to-control of all surimi processing stages. Low-field nuclear magnetic resonance (LF-NMR) is a fast, nondestructive method for monitoring food real-time, but the instrument is expensive; whereas water-holding capacity and texture profile analysis (TPA) are traditional methods but time-consuming and material-consuming. Surimi enterprises or researchers choose the right methods based on their needs.