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固定化硫杆菌对硫化氢的脱除研究
引用本文:程蓉,魏永臣,张永奎,黄亚洁.固定化硫杆菌对硫化氢的脱除研究[J].四川大学学报(工程科学版),2011,43(2):166-171.
作者姓名:程蓉  魏永臣  张永奎  黄亚洁
作者单位:四川大学,化学工程学院,四川,成都,610065
摘    要:筛选驯化得到一株具有较高脱硫活性的嗜中性硫杆菌,建立以木屑为固定化载体的生物反应器,研究其处理H2S废气的效果.实验表明,木屑是固定床生物反应器中的良好吸附载体.当通气速率范围为6~18 L·h-1,反应器可达到一个临界进气负荷并获得530 g·m-3·h-1的最大脱除负荷(脱除率为80%);而在21~36 L·h-1的高气速下,则无明显的进气负荷临界点.对于SO42-生成情况的实验研究发现,进气硫负荷一定时,SO42-浓度随通气速率升高而提高;通气速率一定,进气硫负荷在小于450 g·m-3·h-1的范围内时,S042-牛成浓度较高;而在大于450 g·m-3·h-1的较高范围,SO42-生成浓度低,H2S被大量氧化为S0,是单质硫回收的较优范围.利用Michaelis-Menten方程,建立脱除H2S的宏观动力学模型,并利用非线性拟合进行动力学预测,预测结果与实验数据的相似度R2均在0.95以上.

关 键 词:脱硫  H2S  生物反应器  木屑
收稿时间:2/1/2010 2:39:34 PM
修稿时间:5/4/2010 3:32:20 PM

Removal of hydrogen sulfide by immobilized Thiobacillus sp.
chengrong,Zhang Yongkui and.Removal of hydrogen sulfide by immobilized Thiobacillus sp.[J].Journal of Sichuan University (Engineering Science Edition),2011,43(2):166-171.
Authors:chengrong  Zhang Yongkui and
Affiliation:Sichuan University,
Abstract:A type of bioreactor using wood sawdust as solid support inoculated with Thiobacillus sp. was developed for the removal of H2S in waste gases. The bacteria were isolated from a hot spring in Sichuan province. The results showed that wood sawdust provided high bacteria adsorption capacity. The maximum removal capacity was 530 g·m-3·h-1 (removal efficiency of 80 %) for gas flow rates in the low rage of 6~18 L·h-1. However, in the high gas flow rates of 21~36 L·h-1, there was no evident critical point of inlet S-loading. The effect on the production of SO42- was also studied. The concentration of SO42- was increased as gas flow rate increasing at the constant inlet S-loading. And when the gas flow rate was constant, the concentration of SO42- was high at low inlet S-loading (<450 g·m-3·h-1). On the contrary, if the inlet S-loading was higher than 450 g·m-3·h-1, the production rate of SO42- was extremely low and the conversion products were mainly sulfur. Thus the range is helpful to recover elementary sulfur. The removal rate of H2S in the bioreactor was modelled using a modified Michaelis-Menten type model. Good non-linear regression coefficients of R2 (>0.95) between experimental data and the predicted curves were found.
Keywords:Desulfurization  Hydrogen sulphide  Bioreactors  Wood sawdust
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