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The kinetics and statistical analysis of crude oil (CO) degradation in CO-contaminated soil (COCS) using goat litter (GL) were investigated. The data obtained from the CO degradation process was fitted to the first- and second-order kinetic models. The effects of process parameters such as temperature and the initial CO concentrations on the CO degradation process were also investigated. The one-way ANOVA and Turkey’s post-hoc analysis were also used to study the statistical significance of the process parameters on the CO degradation process. The microbial count showed that the GL contained a total viable count (TVC), coliform, and mold counts of 2.6 × 107 CFUg−1, 2.6 × 107 CFUg−1, and 6.9 × 103 CFUg-1, respectively. The error and linear regression analysis between experimental and model-predicted values revealed that the first-order kinetic model gave a better explanation of the CO degradation process. The rejection of the null hypothesis was evident from one-way ANOVA and Turkey’s post-hoc analysis as the P values at a temperature of 30 °C and initial CO concentrations of 70 gL−1 and 90 gL−1 were less than the significant level of 0.05. Notable organic nutrients in the GL which were beneficial in the COCS treatment process as indicated by the Fourier-transform infrared spectrophotometer (FTIR) analysis were phosphorous and nitrogen. It may be concluded that GL could be used as an effective organic treatment for COCS at CO initial concentrations of 70 and 90 gL-1 and a temperature of 30 °C.

Kinetics and statistical analysis of the bio-stimulating effects of goat litter in crude oil biodegradation process