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采用定量图像分析和化学计量技术评估有氧颗粒污泥系统中药物活性化合物的存在情况。

Assessment of an aerobic granular sludge system in the presence of pharmaceutically active compounds by quantitative image analysis and chemometric techniques.

机构信息

CEB - Centre of Biological Engineering, Universidade do Minho, Campus de Gualtar, 4710-057, Braga, Portugal.

CEB - Centre of Biological Engineering, Universidade do Minho, Campus de Gualtar, 4710-057, Braga, Portugal; CRETUS Institute, Department of Chemical Engineering, Universidade de Santiago de Compostela, E-15705, Santiago de Compostela, Spain.

出版信息

J Environ Manage. 2021 Jul 1;289:112474. doi: 10.1016/j.jenvman.2021.112474. Epub 2021 Apr 5.

Abstract

In this study, a sequencing batch reactor (SBR) with aerobic granular sludge (AGS) was operated with synthetic wastewater containing environmental relevant concentrations of 17β-estradiol (E2), 17α-ethinylestradiol (EE2) and sulfamethoxazole (SMX). Despite the presence of the studied PhAC, the granular fraction clearly predominated (TSS/TSS ranging from 0.82 to 0.98) throughout the monitoring period, presenting aggregates with high organic fraction (VSS/TSS above 0.83) and good settling characteristics (SVI ranging from 15 to 39 mL/gTSS). A principal component analysis (PCA) with quantitative image analysis (QIA) based data allowed to distinguish the different operational periods, namely with mature granules (CONT), and the E2, EE2, and SMX feeding periods. It further revealed a positive relationship between the biomass density, sludge settling ability, overall and granular biomass contents, granulation properties, granular biomass fraction and large granules fraction and size. Moreover, a discriminant analysis (DA) allowed to successfully discriminate not only the different operational periods, mainly by using the floccular apparent density, granular stratification and contents data, but also the PhAC presence in samples. The filamentous bacteria contents, sludge settling properties, settling properties stability and granular stratification, structure and contents parameters were found to be crucial for that purpose.

摘要

在这项研究中,采用好氧颗粒污泥(AGS)的序批式反应器(SBR)以含有环境相关浓度的 17β-雌二醇(E2)、17α-乙炔基雌二醇(EE2)和磺胺甲恶唑(SMX)的合成废水为处理对象。尽管存在研究的 PhAC,但在整个监测期间,颗粒部分明显占主导地位(TSS/TSS 从 0.82 到 0.98),具有高有机部分(VSS/TSS 高于 0.83)和良好沉降特性的聚集体(SVI 从 15 到 39 mL/gTSS)。基于定量图像分析(QIA)数据的主成分分析(PCA)允许区分不同的操作阶段,即成熟颗粒(CONT)和 E2、EE2 和 SMX 进料阶段。它进一步揭示了生物量密度、污泥沉降能力、总生物量和颗粒生物量含量、颗粒化特性、颗粒生物量分数和大颗粒分数和大小之间的正相关关系。此外,判别分析(DA)不仅允许成功区分不同的操作阶段,主要是通过使用絮体表观密度、颗粒分层和含量数据,而且还允许区分样品中 PhAC 的存在。丝状菌含量、污泥沉降性能、沉降性能稳定性和颗粒分层、结构和含量参数对于实现这一目标至关重要。

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