张 苗, 木泰华. 预热处理对甘薯蛋白酶解特性的影响[J]. 农业工程学报, 2012, 28(25): 356-362.
    引用本文: 张 苗, 木泰华. 预热处理对甘薯蛋白酶解特性的影响[J]. 农业工程学报, 2012, 28(25): 356-362.
    Zhang Miao, Mu Taihua. Effects of pre-heating treatment on enzymolysis characteristics of sweet potato protein[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2012, 28(25): 356-362.
    Citation: Zhang Miao, Mu Taihua. Effects of pre-heating treatment on enzymolysis characteristics of sweet potato protein[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2012, 28(25): 356-362.

    预热处理对甘薯蛋白酶解特性的影响

    Effects of pre-heating treatment on enzymolysis characteristics of sweet potato protein

    • 摘要: 以碱性蛋白酶(Alcalase)为水解酶,研究了不同预热处理温度和时间对甘薯蛋白酶解特性的影响。采用单因素试验及响应面分析法,对Alcalase水解预热处理条件进行了研究,建立了水解度(DH)及三氯乙酸氮溶解指数(TCA-NSI)与预热处理的回归模型,分析了模型的有效性及因子间的交互作用。结果表明,预热处理对Alcalase酶解甘薯蛋白的DH和TCA-NSI的影响显著(P<0.05);甘薯蛋白预热处理的最优工艺参数为:温度92℃,时间13?min。在此条件下,DH与TCA-NSI分别为26.32%和84.33%。与直接酶解天然甘薯蛋白相比,在预热处理的最佳工艺条件下所得到的DH和TCA-NSI分别提高了15.89%和53.37%。

       

      Abstract: The effects of pre-heating temperature and time on enzymolysis characteristics of sweet potato protein by Alcalase was investigated. The single-factor experiments and response surface methodology (RSM) were applied to determine the pre-heating treatment parameters for the enzymatic hydrolysis by Alcalase. The regression models of the degree of hydrolysis (DH) and trichloroacetic acid-nitrogen solubility index (TCA-NSI) were established between impact factors and indexes. The validity of the models and interactions of impact factors were analyzed. The results showed that the effects of pre-heating treatment on DH and TCA-NSI of sweet potato protein was significant (P<0.05), and the optimum pre-heating treatment conditions were obtained as follows: temperature 92℃, time 13 min. Under the optimized conditions, DH and TCA-NSI were 26.32% and 84.33%, respectively. Compared with the direct hydrolysis of native sweet potato protein, DH and TCA-NSI under the optimum pre-heating treatment parameters showed increases of 15.89% and 53.37%, respectively.

       

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