This work compiles the largest database of tracer diffusion coefficients $\left(D_{12}\right)$ containing 6180 experimental points from 331 non-polar and weakly polar liquid and supercritical systems. Then, the Tracer Liu − Silva − Macedo (TLSM) model and its 1-parameter correlations (TLSM_d and TLSM_en) are evaluated using this database, taking into account the importance of phenomenological and reliable equations for $D_{12}$ estimation. The TLSM model achieves good results with absolute average relative deviations (AARD) of 16.84 % while TLSM_d and TLSM_en show better performance with AARD of 4.53 % and 4.55 %, respectively. All properties and parameters needed for $D_{12}$ estimation are compiled in Appendix. For comparison, the models of Wilke-Chang and Reddy-Doraiswamy, and the correlations of Magalhães et al. (LJ-1) and Dymond-Hildebrand-Batschinsky (DHB) are also assessed.

这项工作汇编了最大的示踪剂扩散系数数据库 $\left(d_{12}\right)$包含来自331个非极性和弱极性液体和超临界系统的6180个实验点。然后，使用该数据库评估Tracer Liu-Silva-Macedo（TLSM）模型及其1参数相关性（TLSM _d和TLSM _en），并考虑了现象学和可靠方程对于$d_{12}$估计。TLSM模型以16.84％的绝对平均相对偏差（AARD）取得了良好的结果，而TLSM _d和TLSM _en分别以4.53％和4.55％的AARD表现出更好的性能。所需的所有属性和参数$d_{12}$估算见附录。为了比较，Wilke-Chang和Reddy-Doraiswamy的模型以及Magalhães等人的相关性。（LJ-1）和Dymond-Hildebrand-Batschinsky（DHB）也进行了评估。