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Kinetics and statistical analysis of the bio-stimulating effects of goat litter in crude oil biodegradation process
Beni-Suef University Journal of Basic and Applied Sciences ( IF 2.5 ) Pub Date : 2020-07-22 , DOI: 10.1186/s43088-020-00055-x
Kingsley Amechi Ani , Emmanuel Chibundo Chukwuma

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.

中文翻译:

山羊垫料在原油生物降解过程中生物刺激作用的动力学和统计分析

研究了使用山羊垃圾 (GL) 在 CO 污染土壤 (COCS) 中原油 (CO) 降解的动力学和统计分析。从 CO 降解过程中获得的数据适合一级和二级动力学模型。还研究了温度和初始 CO 浓度等工艺参数对 CO 降解过程的影响。还使用单向方差分析和土耳其的事后分析来研究工艺参数对 CO 降解过程的统计显着性。微生物计数显示 GL 包含的总活菌计数 (TVC)、大肠菌群和霉菌计数分别为 2.6 × 107 CFUg-1、2.6 × 107 CFUg-1 和 6.9 × 103 CFUg-1。实验值和模型预测值之间的误差和线性回归分析表明,一级动力学模型更好地解释了 CO 降解过程。从单向方差分析和土耳其的事后分析可以明显看出原假设的拒绝,因为在 30 °C 的温度和 70 gL-1 和 90 gL-1 的初始 CO2 浓度下的 P 值小于显着性水平0.05。如傅里叶变换红外分光光度计 (FTIR) 分析表明,GL 中对 COCS 处理过程有益的显着有机营养素是磷和氮。可以得出结论,在 CO 初始浓度为 70 和 90 gL-1 以及温度为 30 °C 时,GL 可用作 COCS 的有效有机处理。从单向方差分析和土耳其的事后分析可以明显看出原假设的拒绝,因为在 30 °C 的温度和 70 gL-1 和 90 gL-1 的初始 CO2 浓度下的 P 值小于显着性水平0.05。如傅里叶变换红外分光光度计 (FTIR) 分析表明,GL 中对 COCS 处理过程有益的显着有机营养素是磷和氮。可以得出结论,在 CO 初始浓度为 70 和 90 gL-1 以及温度为 30 °C 时,GL 可用作 COCS 的有效有机处理。从单向方差分析和土耳其的事后分析可以明显看出原假设的拒绝,因为在 30 °C 的温度和 70 gL-1 和 90 gL-1 的初始 CO2 浓度下的 P 值小于显着性水平0.05。如傅里叶变换红外分光光度计 (FTIR) 分析表明,GL 中对 COCS 处理过程有益的显着有机营养素是磷和氮。可以得出结论,在 CO 初始浓度为 70 和 90 gL-1 以及温度为 30 °C 时,GL 可用作 COCS 的有效有机处理。如傅里叶变换红外分光光度计 (FTIR) 分析表明,GL 中对 COCS 处理过程有益的显着有机营养素是磷和氮。可以得出结论,在 CO 初始浓度为 70 和 90 gL-1 以及温度为 30 °C 时,GL 可用作 COCS 的有效有机处理。如傅里叶变换红外分光光度计 (FTIR) 分析表明,GL 中对 COCS 处理过程有益的显着有机营养素是磷和氮。可以得出结论,在 CO 初始浓度为 70 和 90 gL-1 以及温度为 30 °C 时,GL 可用作 COCS 的有效有机处理。
更新日期:2020-07-22
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