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Comparing different methods for estimating kinetic parameters of whey protein heat-induced denaturation in infant milk formulas

机译:比较不同方法估算乳清浆乳乳蛋白热诱导的变性的动力学参数

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摘要

Modeling the heat-induced denaturation of milk proteins is a relevant issue because of heating processes in the manufacturing of several dairy products. In this study, four different parameter estimation methods were evaluated to estimate the kinetic parameters of the heat-induced protein denaturation of beta-lactoglobulin (beta-LG) and lactoferrin (LF) in infant milk formulas (IMF). The methods were: a two-step method, nonlinear least-squares (NLS), one-step linearized, and weighted least-squares (WLS). The WLS was the best alternative, avoiding biases observed when applying other methods besides producing consistently low residuals. Using the second proposed weight function, the WLS produced sum of squared errors and mean absolute percentage errors with average values of respectively 0.18 and 12.3% versus 0.27 and 13.3% considering all methods. However, the WLS requires good initial guesses for parameters, and previous knowledge of sampling and residuals variance. Those can be provided by previously performing the two-step and NLS methods, respectively.
机译:由于在制造几种乳制品中的加热过程,建模乳化蛋白的热诱导的变性是一个相关问题。在该研究中,评估了四种不同的参数估计方法,以估计婴儿乳蛋白(IMF)中β-乳蛋白(β-Lg)和乳铁蛋白(Lactoferrin(LF)的热诱导蛋白质变性的动力学参数。方法是:两步法,非线性最小二乘(NLS),一步线性化和加权最小二乘(WLS)。 WLS是最佳替代方案,避免在施加其他方法后观察到的偏差,除了产生始终如一的低残留物。使用第二所提出的重量函数,WLS产生平方误差和平均值分别为0.18和12.3%的平均值与0.27和13.3%的绝对百分比误差。但是,WLS需要对参数的良好初始猜测,以及对采样和残差方差的先前知识。可以通过先前执行两步和NLS方法来提供那些。

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