Castillo Manuel Z, Payne Fred A, Hicks Clair L, Laencina José S, López María-Belén M
Department of Food Technology, University of Murcia, E-30071, Murcia, Spain.
J Dairy Res. 2003 Aug;70(3):335-48. doi: 10.1017/s0022029903006356.
A kinetic model was proposed for describing the curd assembly of skimmed goats' milk during enzymic coagulation. The enzymic coagulation of milk was monitored using an optical sensor that measured diffuse reflectance (light backscatter) at 880 nm. The appearance of a shoulder, at low temperatures and protein concentrations, in the diffuse reflectance ratio profile after the inflection point of the curve (Tmax) appeared to separate the aggregation and curd firming steps. The diffuse reflectance ratio profile after Tmax was attributed to the overlapping of casein micelles aggregation and curd firming reactions. The developed kinetic model combined a second order reaction model to describe aggregation reactions and a first order reaction model to describe firming processes reactions. A completely randomised block design with three replications was used to determine the effect of protein concentration and temperature on kinetic constants. Milk was adjusted to three levels of protein (30, 50 and 70 g/kg), and coagulated at five temperatures (20, 25, 30, 35 and 40 degrees C) to test a wide range of processing conditions. Data points from each profile after Tmax were fitted to the proposed model using non-linear regression. The average R2 and standard error of prediction (SEP) for 45 tests conducted were in the range of 0.9975 +/- 0.0027 and 0.0081 +/- 0.0037, respectively. A significant increase in characteristic times for aggregation (tau2) and curd firming processes (tau1) were found when temperature decreased or protein increased. Theoretical asymptotic value of reflectance ratio, R(infinity), increased with increasing level of protein and temperature (P < 0.05). The parameter beta1, which represented the fraction of diffuse reflectance ratio attributed to aggregation, decreased with increasing temperature and decreasing protein.
提出了一个动力学模型来描述脱脂山羊奶在酶促凝固过程中的凝乳聚集情况。使用光学传感器监测牛奶的酶促凝固过程,该传感器可测量880 nm处的漫反射率(光背散射)。在低温和低蛋白质浓度下,曲线拐点(Tmax)后的漫反射率比值曲线中出现的一个肩峰,似乎将聚集和凝乳硬化步骤区分开来。Tmax后的漫反射率比值曲线归因于酪蛋白胶束聚集和凝乳硬化反应的重叠。所建立的动力学模型结合了一个二阶反应模型来描述聚集反应,以及一个一阶反应模型来描述硬化过程反应。采用完全随机区组设计,重复三次,以确定蛋白质浓度和温度对动力学常数的影响。将牛奶调整到三种蛋白质水平(30、50和70 g/kg),并在五个温度(20、25、30、35和40℃)下进行凝固,以测试广泛的加工条件。使用非线性回归将Tmax后每个曲线的数据点拟合到所提出的模型中。45次测试的平均R2和预测标准误差(SEP)分别在0.9975±0.0027和0.0081±0.0037范围内。当温度降低或蛋白质含量增加时,聚集特征时间(tau2)和凝乳硬化过程特征时间(tau1)显著增加。反射率比值的理论渐近值R(∞) 随着蛋白质水平和温度的升高而增加(P < 0.05)。代表漫反射率比值中归因于聚集部分的参数beta1随着温度升高和蛋白质含量降低而降低。