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Fungal dynamics during anaerobic digestion of sewage sludge combined with food waste at high organic loading rates in immersed membrane bioreactors

descriptionPublicationkeyboard_double_arrow_right Article , Journal 01 Sep 2021Publisher:Elsevier BVJournal:Bioresource Technology, volume 335, page 125,296 (issn: 0960-8524,

Authors: Sanjeev Kumar Awasthi; Mohammad J. Taherzadeh; Huimin Liu; Steven Wainaina; Tao Liu; Zengqiang Zhang; Shiyi Qin; +5 Authors

doi: 10.1016/j.biortech.2021.125296

pmid: 34022478

Fungal dynamics during anaerobic digestion of sewage sludge combined with food waste at high organic loading rates in immersed membrane bioreactors

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Abstract

In this study, the influence of distinct hydraulic retention times (HRT) and organic loading rates (OLRs) on fungal dynamics during food waste anaerobic digestion in immersed membrane-based bio-reactors (iMBR) were investigated. The organic loading rate 4-8 g VS/L/d (R1) and 6-10 g VS/L/d (R2) were set in two iMBR. T1 (1d), T2 (15d) and T3 (34d) samples collected from each bioreactor were analyzed fungal community by using 18s rDNA. In R2, T2 had the most abundant Ascomycota, Basidiomycota, Chytridiomycota and Mucoromycota. As for R1, T3 also had the richest Cryptomycota except above four kinds of fungi. Subsequently, the Principal Component Analysis (PCA) and Non-Metric Multi-Dimensional Scaling (NMDS) indicated that fungal diversity was varied among the all three phases (T1, T2, and T3) and each treatment (R1 and R2). Finally, the results showed that different OLRs and HRT have significantly influenced the fungal community.

Related Organizations

Virginia Tech College of Natural Resources and Environment
United States
University of Borås
Sweden
North University of China
China (People's Republic of)
Virginia Tech College of Natural Resources and Environment
United States

Keywords

Sewage, Fungi, Refuse Disposal, Bioreactors, Food, Anaerobiosis, Methane

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	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	30
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