Abstract

In this study, in order to determine the optimum formulation of Litopenaeus vannamei seafood sauce, Response Surface Methodology (RSM) was employed to investigate the effects of contents of thick broad-bean sauce, sweet soybean paste and Shacha sauce on the sensory quality. Statistical analysis of the results showed that the data were adequately fitted into a second-order polynomial model. The independent parameters of contents of thick broad-bean sauce, sweet soybean paste and the quadratics of contents of thick broad-bean sauce, sweet soybean paste and Shacha sauce significantly affected the sensory evaluation scores. Also the interactions between contents of thick broad-bean sauce and sweet soybean paste, sweet soybean paste and Shacha sauce had a significant effect on the sensory evaluation scores. The optimal conditions for higher sensory evaluation scores were thick broad-bean sauce 6.22%, sweet soybean paste 16.32% and Shacha sauce 10.10%. Under such conditions, the maximum predicted sensory evaluation score was 9.49; the prediction accuracy rate of model was up to 97.10%. These optimum conditions were used to evaluate the trail experiment and the maximum sensory evaluation score was recorded as 9.5±0.36.

Keywords:

Response surface methodology, seafood sauce, sensory evaluation,

References

1. Cao, B.Z., 2005. Discussion on the production technology of sweet soybean paste. China Brew., 148(7): 1-4.
   
2. Hu, S.S., J. Wang and J.F. Sun, 2012. Optimization of scallop sauce by response surface methodology. J. Chin. Inst. Food Sci. Technol., 12(10): 113-119.
   
3. Li, Y., F.J. Cui, Z.Q. Liu, Y. Xu and H. Zhao, 2007. Improvement of xylanase production by Penicillium oxalicum ZH-30 using response surface methodology. Enzyme Microb. Tech., 40(5): 1381-1388.
   CrossRef    
4. Liu, S.Q. and H. Lin, 2003. The preparation of shrimp brei with lower salinity by enzymolysis. Mar. Sci., 27(3): 57-60.
   
5. Liu, Z.W., X.H. Tan and S.G Yao, 2011. Technology present situation and development directions of pea sauce. China Condiment., 36(3): 13-16.
   
6. Mannan, S., A. Fakhru'l-Razi and M.Z. Alam, 2007. Optimization of process parameters for the bioconversion of activated sludge by Penicillium corylophilum, using response surface methodology. J. Environ. Sci., 19(1): 23-28.
   CrossRef    
7. Muralidhar, R.V., R.R. Chirurnamila, R. Marchant and P. Nigam, 2001. A response surface approach for the comparison of lipase production by Candida cylindracea using two different carbon sources. Biochem. Eng. J., 9(1): 17-23.
   CrossRef    
8. Qi, C.H., Y.X. Wang and W. Zhang, 2007. The technological conditions of preparation of shrimp sauce by enzymolysis. Food Sci. Technol., 32(4): 108-110.
   
9. Xu, X., Y.X. Gao, G.M. Liu, Q. Wang and J. Zhao, 2008. Optimization of supercritical carbon dioxide extraction of sea buckthorn (Hippophaeë thamnoides L.) oil using response surface methodology. LWT-Food Sci. Technol., 41(7): 1223-1231.
   

Competing interests

The authors have no competing interests.

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