Suppr超能文献

连续流动电吸附-微生物燃料电池系统,无需外部电源即可有效去除土霉素。

Continuous flow electrosorption-microbial fuel cell system for efficient removal of oxytetracycline without external electrical supply.

机构信息

State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, School of Environment, Northeast Normal University, Changchun 130117, China.

Institute of Environmental Sciences, Leiden University, Leiden, The Netherlands; National Institute of Public Health and the Environment (RIVM), Center for Safety of Substances and Products, Bilthoven, The Netherlands.

出版信息

Bioresour Technol. 2019 Oct;290:121751. doi: 10.1016/j.biortech.2019.121751. Epub 2019 Jul 3.

Abstract

The removal of antibiotics from wastewater has attracted much attention. In this research, an intimately coupled autarkical electrosorption (ES)-microbial fuel cell (MFC) system was developed for real-time removal of the antibiotic oxytetracycline (OTC) from wastewater. The removal efficiency was founded to be up to 98.8% at an OTC concentration of 2 mg/L with 3 g/L sodium acetate (NaAC) as co-substrate and 3 MFCs as power supply. The removal efficiencies increased in the ES unit and decreased in the MFC unit with increasing treating time. The adsorption of OTC on activated carbon fibers (ACFs) in the ES unit proceeds via chemical adsorption resulting from electrostatic attraction and cation exchange. The OTC degradation pathways in the MFC unit were proposed by identifying the intermediates with HPLC-MS/MS. The ACFs in the ES unit were proven to be recyclable and the coupled ES-MFC system is applicable for the removal of antibiotics from wastewater.

摘要

从废水中去除抗生素引起了广泛关注。在这项研究中,开发了一种紧密耦合的自供式电吸附(ES)-微生物燃料电池(MFC)系统,用于实时去除废水中的抗生素土霉素(OTC)。在 2mg/L 的 OTC 浓度下,以 3g/L 的乙酸钠(NaAC)为共底物和 3 个 MFC 作为电源,去除效率高达 98.8%。随着处理时间的增加,ES 单元的去除效率增加,而 MFC 单元的去除效率降低。ES 单元中活性炭纤维(ACFs)对 OTC 的吸附是通过静电吸引和阳离子交换产生的化学吸附进行的。通过 HPLC-MS/MS 鉴定中间产物,提出了 MFC 单元中 OTC 的降解途径。ES 单元中的 ACFs 被证明是可回收的,并且耦合的 ES-MFC 系统适用于从废水中去除抗生素。

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