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Optimization of Enzymatic Deskinning of Squid Tentacles Using Response Surface Methodology and Measurement of Textural Properties

LUO Chunyan1, WANG Zhentao1, FU Pengcheng1, LOU Minjie1, CHEN Lingling1, FANG Xubo1,2, YUAN Gaofeng1,2, CHEN Xiao’e1,2,*   

  1. 1. School of Food and Pharmacy, Zhejiang Ocean University, Zhoushan 316022, China;
    2. Joint Key Laboratory of Zhejiang Province for the Research of Fishery Processing Technology, Zhoushan 316022, China
  • Online:2015-03-25 Published:2015-03-17
  • Contact: CHEN Xiao’e

Abstract:

Response surface methodology was used to optimize the enzymatic deskinning parameters for squid tentacles.
Dosidicus gigas feet were hydrolyzed by various proteases to select the optimum enzyme on the basis of whiteness and
raw material retention. Combination of single factor method and Box-Behnken design was used to investigate the effects
of important hydrolysis parameters on whiteness and raw material retention. Total volatile basic nitrogen (TVB-N), texture
and microstructure were measured to compare freshness and textual properties. The results indicated that the two regression
models developed in this study could better indicate the relationship between factor levels and response values, and the
optimum conditions for enzymatic deskinning were determined as follows: pancreatin dosage, 0.25%; solid-to-liquid ratio,
17:20 (g/mL); and hydrolysis time, 20 minutes. Under these conditions, whiteness and raw material retention rates were
63.95 ± 0.31 and (81.22 ± 0.28)%, respectively and TVB-N value was (27.60 ± 0.34) mg/100 g, with no significant changes
observed in textural properties or muscle fiber tissue. The TVB-N value of the deskinned sample was in line with the
requirement of GB 2733—2005 Hygienic Standard for Fresh and Frozen Marine Products of Animal Origin. The sample had
bright color and was springy with high raw material retention. The process could meet the requirement of actual production.

Key words: Dosidicus gigas tentacles, enzymatic deskinning, response surface methodology, texture characteristics

CLC Number: