## 3 Results
### Nitrogen Adsorption Isotherms
\begin{table}
\begin{tabular}{l l l l} \hline
**Treatment** & **Regression Equation** & **R\({}^{2}\)** & **\(\chi^{2}\)** \\ \hline \multicolumn{4}{c}{**Langmuir-4**} \\ \hline Soil & y = 10.154 + 0.0015x & 0.8848 * & 0.273 \\ CLB & y = 29.157 + 0.0007x & 0.8928 ** & 0.023 \\ B1 & y = 12.981 + 0.0009x & 0.3966 ** & 0.595 \\ B2 & y = 12.762 + 0.0012x & 0.8200 * & 0.210 \\ B3 & y = 15.063 + 0.0009x & 0.2374 ** & 0.849 \\ \hline \multicolumn{4}{c}{**Freundlich**} \\ \hline Soil & y = 0.414 + 1.337x & 0.9932 ** & 9.45 \(\times\) 10\({}^{-4}\) \\ CLB & y = 1.392 + 1.054x & 0.9990 ** & 1.12 \(\times\) 10\({}^{-4}\) \\ B1 & y = 0.779 + 1.188x & 0.9844 ** & 1.85 \(\times\) 10\({}^{-3}\) \\ B2 & y = 0.722 + 1.225x & 0.9963 ** & 4.13 \(\times\) 10\({}^{-4}\) \\ B3 & y = 0.888 + 1.166x & 0.9773 ** & 2.77 \(\times\) 10\({}^{-3}\) \\ \hline \multicolumn{4}{c}{**Temkin**} \\ \hline Soil & y = \(-\)11411 + 2820.63x & 0.8989 ** & 870.84 \\ CLB & y = \(-\)8756 + 2724.17x & 0.8929 ** & 1427.34 \\ B1 & y = \(-\)10303 + 2630.85x & 0.9666 ** & 253.64 \\ B2 & y = \(-\)10699 + 2738.67x & 0.9161 ** & 847.66 \\ B3 & y = \(-\)10253 + 2689.34x & 0.9648 ** & 192.75 \\ \hline \end{tabular} Note: ** significant at P = 0.01, * significant at P = 0.05, ** not significant at P = 0.05.  
\end{table} 
Table 11: Regression equations, Coefficient of determination (R\({}^{2}\)), and Chi-square analysis (\(\chi^{2}\)) for the fit of the Langmuir type 1, 2, and 3 isotherms to the nitrogen adsorption data of the treatments. \begin{table}
\begin{tabular}{l l l l} \hline
**Treatment** & **Regression Equation** & **R\({}^{2}\)** & **\(\chi^{2}\)** \\ \hline \multicolumn{4}{c}{**Langmuir-1**} \\ \hline Soil & y = 0.101 - 0.0002x & 0.7476 * & \(2.71\times 10^{-3}\) \\ CLB & y = 0.034 - 0.00002x & 0.8722 * & \(2.77\times 10^{-5}\) \\ B1 & y = 0.079 - 0.0001x & 0.2879 ** & \(3.88\times 10^{-3}\) \\ B2 & y = 0.079 - 0.0001x & 0.7506 * & \(1.20\times 10^{-3}\) \\ B3 & y = 0.068 - 0.0001x & 0.1152 ** & \(4.14\times 10^{-3}\) \\ \hline \multicolumn{4}{c}{**Langmuir-2**} \\ \hline Soil & y = \(-\)0.00023 + 0.111x & 0.9720 ** & \(4.17\times 10^{-5}\) \\ CLB & y = \(-\)0.0002 + 0.034x & 0.9997 ** & \(3.65\times 10^{-7}\) \\ B1 & y = \(-\)0.00016 + 0.090x & 0.9661 ** & \(5.76\times 10^{-5}\) \\ B2 & y = \(-\)0.00014 + 0.085x & 0.9934 ** & \(1.35\times 10^{-5}\) \\ B3 & y = \(-\)0.00014 + 0.079x & 0.9461 ** & \(7.06\times 10^{-5}\) \\ \hline \multicolumn{4}{c}{**Langmuir-3**} \\ \hline Soil & y = \(-\)5825.393 + 596.686x & 0.8848 * & 5726 \\ CLB & y = \(-\)40678.00 + 1404.194x & 0.8928 ** & 655 \\ B1 & y = \(-\)6716.326 + 613.878x & 0.3966 ** & 2001 \\ B2 & y = \(-\)8864.319 + 724.346x & 0.8200 * & 873 \\ B3 & y = \(-\)5918.898 + 502.169x & 0.2374 ** & 2434 \\ \hline \end{tabular} Note: ** significant at P = 0.01, * significant at P = 0.05, ** not significant at P = 0.05.  
\end{table} 
Table 12: Regression equations, Coefficient of determination (R\({}^{2}\)), and Chi-square analysis (\(\chi^{2}\)) for the fit of the Langmuir type 4, Freundlich, and Temkin isotherms to the nitrogen adsorption data of the treatments. Higher K\({}_{\text{F}}\) values of CLB, B1, B2, and B3 (Table 13) indicate that the CLB has higher N adsorption capacity than soil alone. This is possible because of higher CEC of the CLB (Table 2).