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表面活性剂对柠檬酸杆菌 SA01 降解菲的代谢动力学的影响。

Effect of surfactant on phenanthrene metabolic kinetics by Citrobacter sp. SA01.

机构信息

Department of Environmental Science, Zhejiang University, Hangzhou 310058, China; Zhejiang Provincial Key Laboratory of Organic Pollution Process Control, Hangzhou 310058, China; Zhejiang Yuying College, Hangzhou 310018, China.

Department of Environmental Science, Zhejiang University, Hangzhou 310058, China; Zhejiang Provincial Key Laboratory of Organic Pollution Process Control, Hangzhou 310058, China.

出版信息

J Environ Sci (China). 2014 Nov 1;26(11):2298-306. doi: 10.1016/j.jes.2014.09.015. Epub 2014 Sep 23.

Abstract

To attain a better understanding of the effects of surfactants on the metabolic kinetics of hydrophobic organic compounds, the biodegradation of phenanthrene by Citrobacter sp. SA01 was investigated in a batch experiment containing Tween 80, sodium dodecyl benzene sulfonate and liquid mineral salt medium. The Monod model was modified to effectively describe the partition, phenanthrene biodegradation and biopolymer production. The results showed that Tween 80 and sodium dodecyl benzene sulfonate (each at 50mg/L) enhanced phenanthrene metabolism and poly-β-hydroxybutyrate production as indicated by the increasing amounts of intermediates (by 17.2% to 47.9%), and percentages of poly-β-hydroxybutyrate (by 107.3% and 33.1%) within the cell dry weight when compared to their absence. The modified Monod model was capable of predicting microbial growth, phenanthrene depletion and biopolymer production. Furthermore, the Monod kinetic coefficients were largely determined by the surfactant-enhanced partition, suggesting that partitioning is a critical process in surfactant-enhanced bioremediation of hydrophobic organic compounds.

摘要

为了更好地了解表面活性剂对疏水性有机化合物代谢动力学的影响,在含有吐温 80、十二烷基苯磺酸钠和液体矿物盐培养基的分批实验中研究了柠檬酸杆菌 SA01 对菲的生物降解。对 Monod 模型进行了修正,以有效地描述分配、菲的生物降解和生物聚合物的生产。结果表明,吐温 80 和十二烷基苯磺酸钠(各 50mg/L)促进了菲的代谢和聚-β-羟基丁酸酯的生产,这表现为中间产物(增加了 17.2%至 47.9%)和细胞干重内聚-β-羟基丁酸酯的百分比(增加了 107.3%和 33.1%)比它们不存在时有所增加。修正后的 Monod 模型能够预测微生物生长、菲的消耗和生物聚合物的生产。此外,Monod 动力学系数主要由表面活性剂增强的分配决定,这表明分配是表面活性剂增强疏水性有机化合物生物修复的关键过程。

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