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椰壳纤维上向填充床生物滴滤塔中aspergillus tritici 对甲苯蒸气的生物降解作用。

Biodegradation of toluene vapor in coir based upflow packed bed reactor by Trichoderma asperellum isolate.

机构信息

Department of Biotechnology, Karpaga Vinayaga College of Engineering and Technology, Chennai, 603 308, India.

Department of Biotechnology, St Joseph's College of Engineering, Chennai, 600 119, India.

出版信息

Environ Sci Pollut Res Int. 2016 Mar;23(5):4129-37. doi: 10.1007/s11356-015-4550-3. Epub 2015 Apr 24.

DOI:10.1007/s11356-015-4550-3
PMID:25903193
Abstract

In the present study, a new biofiltration system involving a selective microbial strain isolated from aerated municipal sewage water attached with coir as packing material was developed for toluene degradation. The selected fungal isolate was identified as Trichoderma asperellum by 16S ribosomal RNA (16S rRNA) sequencing method, and pylogenetic tree was constructed using BLASTn search. Effect of various factors on growth and toluene degradation by newly isolated T. asperellum was studied in batch studies, and the optimum conditions were found to be pH 7.0, temperature 30 °C, and initial toluene concentration 1.5 (v/v)%. Continuous removal of gaseous toluene was monitored in upflow packed bed reactor (UFPBR) using T. asperellum. Effect of various parameters like column height, flow rate, and the inlet toluene concentration were studied to evaluate the performance of the biofilter. The maximum elimination capacity (257 g m(-3) h(-1)) was obtained with the packing height of 100 cm with the empty bed residence time of 5 min. Under these optimum conditions, the T. asperellum showed better toluene removal efficiency. Kinetic models have been developed for toluene degradation by T. asperellum using macrokinetic approach of the plug flow model incorporated with Monod model.

摘要

在本研究中,开发了一种新的生物过滤系统,涉及从充气城市污水中分离出的选择性微生物菌株,该菌株附着在椰子纤维作为填充材料上,用于甲苯降解。通过 16S 核糖体 RNA(16S rRNA)测序方法鉴定所选真菌分离物为asperellum,并用 BLASTn 搜索构建系统发育树。在分批研究中研究了各种因素对新分离的asperellumum 的生长和甲苯降解的影响,并找到了最佳条件为 pH 7.0、温度 30°C 和初始甲苯浓度 1.5(v/v)%。使用asperellumum 在上升填充床反应器(UFPBR)中连续去除气态甲苯。研究了各种参数的影响,如柱高、流速和入口甲苯浓度,以评估生物过滤器的性能。在填充高度为 100cm 且空床停留时间为 5min 的条件下,获得了最大去除容量(257 g m(-3) h(-1))。在这些最佳条件下,asperellumum 显示出更好的甲苯去除效率。使用塞流模型的宏观动力学方法结合 Monod 模型,开发了用于甲苯降解的 asperellumum 的动力学模型。

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