4.7 Article

Biotransformation of tetracycline by a novel bacterial strain Stenotrophomonas maltophilia DT1

期刊

JOURNAL OF HAZARDOUS MATERIALS
卷 318, 期 -, 页码 125-133

出版社

ELSEVIER
DOI: 10.1016/j.jhazmat.2016.06.053

关键词

Tetracycline; Biotransformation; Hydrolysis; Stenotrophomonas maltophilia; Transformation products

资金

  1. Natural Science Foundation of China [41373083]
  2. US National Science Foundation [CBET-1351676]
  3. Div Of Chem, Bioeng, Env, & Transp Sys
  4. Directorate For Engineering [1351676] Funding Source: National Science Foundation

向作者/读者索取更多资源

Although several abiotic processes have been reported that can transform antibiotics, little is known about whether and how microbiological processes may degrade antibiotics in the environment. This work isolated one tetracycline degrading bacterial strain, Stenotrophomonas maltophilia strain DT1, and characterized the biotransformation of tetracycline by DT1 under various environmental conditions. The biotransformation rate was the highest when the initial pH was 9 and the reaction temperature was at 30 degrees C, and can be described using the Michaelis-Menten model under different initial tetracycline concentrations. When additional substrate was present, the substrate that caused increased biomass resulted in a decreased biotransformation rate of tetracycline. According to disk diffusion tests, the biotransformation products of tetracycline had lower antibiotic potency than the parent compound. Six possible biotransformation products were identified, and a potential biotransformation pathway was proposed that included sequential removal of N-methyl, carbonyl, and amine function groups. Results from this study can lead to better estimation of the fate and transport of antibiotics in the environment and has the potential to be utilized in designing engineering processes to remove tetracycline from water and soil. (C) 2016 Elsevier B.V. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据