We accept with hesitation the authors’ explanation regarding the “pseudo-second-order” term, which is identical to the one by Ho.(7) Following such a train of thought, the process described by eq 3 which runs toward AS₂, should be of first-order with respect to C_A and of pseudo-second-order with respect to C_AS. Equations 6 and 7 are nonlinear, and likewise, nonlinear is the transformation from eq 6 into eq 7. From the mathematical point of view, eq 6 is an explicit form of the hyperbolic function, and eq 7 is an implicit one. To treat eq 6 as either a linear or a linearized form is a misunderstanding of the concept. The term “linearization” refers to the local approximation of functions with the aid of the Taylor series taking into account both; a constant term and a linear one. The derivation of the Blanchard equation is not attainable with assumptions (i), (ii), and (iii) in place. The falsification of the R² value stems from the calculation of this quantity done on the basis of the points in the t/q vs t coordinate system, and the resulting straight line adjusted to fit them. The likelihood of a wrong choice of the approximating function would be much lower, however, if the values of k and q_e—determined on the basis of the graphical method—were to be plugged into eq 6, and then the value of R² was calculated. Thus, with only a slight modification of the algorithm this would be enough to get more-reliable results. A frequent cause for additional falsification of R² values also may be present if one takes into account too many points laying close to the equilibrium state. A spurious R² value may also be obtained for a data set, if the range of change in q is too small. The suggestion, which may be worth considering, is to assess the quality of fit of the approximating function to kinetic data, based on changes in standardized residual (eq 13), as the function of time. Alternative evaluation methods exist as well. But first and foremost, one needs to pay attention to the quality of experimental data. The authors declare no competing financial interest. K.A.S.: Retired. The authors declare no competing financial interest.
^#K.A.S.: Retired. This article references 7 other publications.

中文翻译：

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评《伪二阶吸附动力学模型的错误应用：忽略假设和虚假相关性》

我们犹豫地接受作者对“伪二阶”项的解释，这与何的相同。 (7) 按照这样的思路，方程 3 描述的过程向 AS ₂运行，应该是关于C _A的一阶和关于C _AS的伪二阶. 方程6和方程7是非线性的，同样，非线性是方程6到方程7的变换。从数学的角度来看，方程6是双曲函数的显式形式，方程7是隐式的。将 eq 6 视为线性或线性化形式是对该概念的误解。术语“线性化”是指在泰勒级数的帮助下对函数的局部逼近，同时考虑到两者；一个常数项和一个线性项。在假设 (i)、(ii) 和 (iii) 到位的情况下，无法推导出 Blanchard 方程。R ²值的造假源于根据t / q vs t中的点计算该量坐标系，然后调整生成的直线以适合它们。然而，如果将基于图形方法确定的k和q _e的值插入方程 6，然后将R ²的值插入到近似函数中，错误选择近似函数的可能性会低得多被计算。因此，只需对算法稍作修改，就足以获得更可靠的结果。如果考虑到接近平衡状态的点太多，则也可能存在导致R ²值进一步伪造的常见原因。甲伪- [R ²也可以被用于数据组获得的值，如果变化的范围内的q太小了。可能值得考虑的建议是，根据作为时间函数的标准化残差（方程 13）的变化，评估近似函数与动力学数据的拟合质量。也存在替代评估方法。但首先需要注意的是实验数据的质量。作者声明没有竞争性经济利益。卡斯：退休了。作者声明没有竞争性经济利益。
^# KAS：退休了。本文引用了 7 篇其他出版物。