Suppr超能文献

低温苯酚降解微生物制剂:构建与作用机制。

Low-temperature phenol-degrading microbial agent: construction and mechanism.

机构信息

Key Laboratory of Industrial Ecology and Environmental Engineering (MOE), School of Environmental Science and Technology, Dalian University of Technology, Linggong Road 2, Dalian, 116024, People's Republic of China.

出版信息

Arch Microbiol. 2023 Apr 15;205(5):193. doi: 10.1007/s00203-023-03532-w.

Abstract

In this study, three cold-tolerant phenol-degrading strains, Pseudomonas veronii Ju-A1 (Ju-A1), Leifsonia naganoensis Ju-A4 (Ju-A4), and Rhodococcus qingshengii Ju-A6 (Ju-A6), were isolated. All three strains can produce cis, cis-muconic acid by ortho-cleavage of catechol at 12 ℃. Response surface methodology (RSM) was used to optimize the proportional composition of low-temperature phenol-degrading microbiota. Degradation of phenol below 160 mg L by low-temperature phenol-degrading microbiota followed first-order degradation kinetics. When the phenol concentration was greater than 200 mg L, the overall degradation trend was in accordance with the modified Gompertz model. The experiments showed that the microbial agent (three strains of low-temperature phenol-degrading bacteria were fermented separately and constructed in the optimal ratio) could completely degrade 200 mg L phenol within 36 h. The above construction method is more advantageous in bio-enhanced treatment of actual wastewater. Through the construction of microbial agents to enhance the degradation effect of phenol, it provides a feasible scheme for the biodegradation of phenol wastewater at low temperature and shows good application potential.

摘要

在本研究中,分离到了三株耐冷苯酚降解菌株,分别为假单胞菌(Ju-A1)、藤黄微球菌(Ju-A4)和红球菌(Ju-A6)。这三株菌在 12℃下均可通过邻位裂解儿茶酚产 cis, cis-粘康酸。利用响应面法(RSM)对低温苯酚降解菌群的比例组成进行了优化。低温苯酚降解菌群在 160mg/L 以下的苯酚降解遵循一级降解动力学。当苯酚浓度大于 200mg/L 时,整体降解趋势符合修正的 Gompertz 模型。实验表明,微生物制剂(三株低温苯酚降解菌分别发酵并按最佳比例构建)可在 36h 内完全降解 200mg/L 的苯酚。上述构建方法在实际废水的生物强化处理中更具优势。通过构建微生物制剂来增强苯酚的降解效果,为低温条件下苯酚废水的生物降解提供了一种可行的方案,具有良好的应用潜力。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验