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在移动床生物膜反应器中进行生物膜演化的形态图像分析及定量分析。

Morphological image analysis of biofilm evolution with quantitative analysis in a moving bed biofilm reactor.

机构信息

School of Environmental and Municipal Engineering, Qingdao University of Technology, Fushun Road 11, Qingdao 266033, China.

School of Environmental and Municipal Engineering, Qingdao University of Technology, Fushun Road 11, Qingdao 266033, China.

出版信息

Sci Total Environ. 2023 Jan 15;856(Pt 2):159199. doi: 10.1016/j.scitotenv.2022.159199. Epub 2022 Oct 2.

Abstract

The quantitative analysis of biomass is essential for the research and application of moving bed biofilm reactors (MBBRs). However, the difficulty in measuring the attached growing biomass hinders the quantitative analysis of biofilm processes. In this study, a pilot-scale MBBR system was established to investigate biofilm evolution. The quantity of active heterotrophic and autotrophic biomass was measured throughout the entire culturing process. The total active biomass reached 250 mg COD/m when the biofilm attachment and detachment were balanced, and the corresponding autotrophic biomass contributes to as high as 17 % of the total biomass. Furthermore, quantitative image analysis was performed to obtain the thickness and morphological data of the biofilm evolution. Multivariate regression models were constructed based on the morphological data, which provided satisfactory prediction accuracy for the biofilm thickness and maturation. The most suitable carrier spots for biomass quantification and biofilm maturation were suggested. This work provided the life-cycle information of biofilm quantity and morphology of the MBBR, which contributes to the quantitative understanding of biofilm evolution at MBBRs.

摘要

生物量的定量分析对于移动床生物膜反应器(MBBR)的研究和应用至关重要。然而,附着生长生物量的测量难度阻碍了生物膜过程的定量分析。本研究建立了中试规模的 MBBR 系统来研究生物膜的演变。在整个培养过程中测量了活性异养和自养生物量的数量。当生物膜附着和脱落达到平衡时,总活性生物量达到 250mg COD/m,相应的自养生物量占总生物量的 17%。此外,进行了定量图像分析以获得生物膜演变的厚度和形态数据。基于形态数据构建了多元回归模型,为生物膜厚度和成熟度的预测提供了令人满意的准确性。提出了最适合生物量定量和生物膜成熟的载体点。这项工作提供了 MBBR 中生物膜数量和形态的生命周期信息,有助于定量理解 MBBR 中的生物膜演变。

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