| Table 2:Magnitude of the slope for data shown in Fig. 3(a), regressed to a linear model for t(v1−1+v2−1) < 8 h/cm3. For each system, the KI concentration was 0.10 mol/L. Also shown are the values for the formation factor F used to produce the solid curves Fig. 3(b). The uncertainties shown are the estimated from standard deviations reported by the regression software, with a corresponding coverage factor of k = 1. | |||
|---|---|---|---|
| Counter Solution | concentration (mol/L) | |Slope| (cm3/h) | F |
| K2CO3 | 0.0769 | 0.1581±0.0014 | 11.7 |
| H2SO4 | 0.0859 | 0.1688±0.0075 | 9.6 |
| MgSO4 | 0.1660 | 0.1867±0.0022 | 13.5 |
| KCl | 0.1000 | 0.1978±0.0029 | 11.4 |
| NaCl | 0.1000 | 0.2120±0.0024 | 11.8 |
| KOH | 0.0879 | 0.2333±0.0034 | 11.2 |
| CaCl2 | 0.0731 | 0.2801±0.0089 | 12.8 |
The relative concentration differences Δ/Δ0 are shown in Figs. 3, and the analyses of the data are divided between the "short" time and the "long" time results. In Fig. 3(a), a linear model is regressed to the data for which t(v1−1+v2−1) < 8 h/cm3. The results from the linear regression analyses are shown in Table 2, and the corresponding lines are shown in Fig. 3(a). The uncertainties reported are the estimated standard deviations reported by the regression software, and have the corresponding coverage factor [42] k = 1. Based on these results, the CaCl2/KI system and the K2CO3/KI system represent the extrema, and are shown in Fig. 3(b) over a longer time, along with the KCl/KI system as an example of nearly ideal behavior.
The results from the linear regression given in Table 2 give an indication of the effect speciation can have on the observed diffusion coefficient. The magnitude of the slopes shown in the table varies by nearly a factor of two. This contrasts the previous 20 % change in the slopes due to changes in concentration.
![]() | ![]() |