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上流速度和水力停留时间变化对处理商业洗衣废水的流化床反应器在与生活污水共消化中的分类和功能特征的影响。

The influence of upflow velocity and hydraulic retention time changes on taxonomic and functional characterization in Fluidized Bed Reactor treating commercial laundry wastewater in co-digestion with domestic sewage.

机构信息

Laboratory of Biological Processes, Department of Hydraulics and Sanitation, Engineering School of São Carlos - University of São Paulo (EESC - USP), Campus II, São Carlos, SP, CEP 13563-120, Brazil.

Microbial Resources Division, Research Center for Chemistry, Biology and Agriculture (CPQBA), Campinas University - UNICAMP, Campinas, São Paulo, 13148-218, Brazil.

出版信息

Biodegradation. 2020 Apr;31(1-2):73-89. doi: 10.1007/s10532-020-09895-x. Epub 2020 Apr 7.

Abstract

A large-scale (19.8L) Fluidized Bed Reactor (FBR) operated for 592 days was used to assess the removal performance of linear alkylbenzene sulfonate (LAS). Adjustments in hydraulic retention time (HRT) (18 and 30 h), ethanol (50, 100, 200 mg L) and linear alkylbenzene sulfonate (LAS) concentration (6.3-24.7 mg L) with taxonomic and functional characterization of biomass using Whole Genome Shotgun Metagenomic (WGSM) represented a major step forward for optimizing biological treatments of LAS. In addition, the variation of the upflow velocity (0.5, 0.7 and 0.9 cm s) was investigated, which is a parameter that had not yet been correlated with the possibilities of LAS removal in FBR. Lower Vup (0.5 cm s) allied to higher ethanol concentration (200 mg L) resulted in lower LAS removal (29%) with predominance of methanogenic archaea and genes related to methanogenesis, while higher Vup (0.9 cm s) led to aerobic organisms and oxidative phosphorylation genes. An intermediate Vup (0.7 cm s) and higher HRT (30 h) favored sulfate reducing bacteria and genes related to sulfur metabolism, which resulted in the highest LAS (83%) and COD (77%) removal efficiency.

摘要

使用一个大规模(19.8L)的流化床反应器(FBR)进行了 592 天的运行,以评估直链烷基苯磺酸盐(LAS)的去除性能。通过调整水力停留时间(HRT)(18 和 30 h)、乙醇(50、100、200 mg/L)和直链烷基苯磺酸盐(LAS)浓度(6.3-24.7 mg/L),并使用全基因组 shotgun 宏基因组学(WGSM)对生物量进行分类学和功能表征,这是优化 LAS 生物处理的重要一步。此外,还研究了上升流速(0.5、0.7 和 0.9 cm/s)的变化,这是一个尚未与 FBR 中 LAS 去除可能性相关联的参数。较低的上升流速(0.5 cm/s)和较高的乙醇浓度(200 mg/L)导致 LAS 去除率较低(29%),甲烷生成古菌和与甲烷生成相关的基因占优势,而较高的上升流速(0.9 cm/s)导致好氧生物和氧化磷酸化基因占优势。中等的上升流速(0.7 cm/s)和较高的 HRT(30 h)有利于硫酸盐还原菌和与硫代谢相关的基因,从而实现了最高的 LAS(83%)和 COD(77%)去除效率。

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