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首页> 外文期刊>Journal of food engineering >Use of response surface methodology to optimise the hydrolysis of whey protein isolate in a tangential flow filter membrane reactor
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Use of response surface methodology to optimise the hydrolysis of whey protein isolate in a tangential flow filter membrane reactor

机译:使用响应表面方法优化切向流滤膜反应器中乳清蛋白分离物的水解

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Response surface methodology (RSM) was used to investigate the effects of substrate concentration (S), enzyme concentration (E) and initial permeate flow rate, (J_i), on permeate flux behaviour in a 10 kDa nominal molecular weight cut-off (NMWCO) tangential flow filter (TFF) enzyme membrane reactor (EMR) during 3 h hydrolysis of whey protein isolate (WPI) using Protease N Amano (IUB 3.4.24.28, Bacillus subtilis) at pH 7.0 and 45℃. The average residual permeate flow rate (J_(residual)), residual enzyme activity (A_(residual)) and product recovered in permeate designated as apparent sieving (S_(apparent)) were monitored. The quadratic model regression equations obtained revealed that all the three factors had significant but dissimilar influences on permeate flux behaviour. J_(residual), S_(apparent) and A_(residual) increased with increasing E, A_(residual) decreased with increasing J_i and there was substrate inhibition at low E. The optimised factors were S = 4.72% (w/v), E = 0.055% (w/v; hence E/S ≈ 1% w/w) and J_i = 6.91 mL/min (approximately 0.7% reactor volume per minute). The optimised values were 87.24%, 52.37% and 35.08% for J_(residual), A_(residual) and S_(apparent), respectively. The actual values for the responses agreed well with the predicted values implying that RSM is suitable for EMR optimisation. Covariance values showed that J_(residual) and S_(apparent) increased concomitantly while A_(residual) decreased with increasing S_(apparent) and J_(residual).
机译:响应面方法(RSM)用于研究底物浓度(S),酶浓度(E)和初始透过液流速(J_i)对10 kDa标称分子量截留值(NMWCO)的透过量行为的影响)使用蛋白酶N Amano(IUB 3.4.24.28,枯草芽孢杆菌)在pH 7.0和45℃下3小时水解乳清蛋白分离物(WPI)的过程中,切向流过滤器(TFF)酶膜反应器(EMR)。监测平均残留渗透物流速(J_(残留)),残留酶活性(A_(残留))和在指定为表观筛分的渗透物中回收的产物(S_(表观))。所获得的二次模型回归方程表明,所有三个因素对渗透通量行为都有显着但不同的影响。 J_(残基),S_(表观)和A_(残基)随E的增加而增加,A_(残基)随J_i的增加而降低,并且在低E下存在底物抑制。优化因子为S = 4.72%(w / v), E = 0.055%(w / v;因此,E /S≈1%w / w),J 1 = 6.91mL / min(每分钟约0.7%反应器体积)。 J_(残基),A_(残基)和S_(表观)的最佳值分别为87.24%,52.37%和35.08%。响应的实际值与预测值非常吻合,这表明RSM适用于EMR优化。协方差值表明,随着S_(表观)和J_(残值)的增加,J_(残差)和S_(表观)随之增加,而A_(残差)则降低。

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