Literature DB >> 25496940

Understanding the impact of influent nitrogen concentration on granule size and microbial community in a granule-based enhanced biological phosphorus removal system.

Jinte Zou1, Yongmei Li2, Lili Zhang1, Ruyi Wang1, Jing Sun1.   

Abstract

To better understand the effect of influent nitrogen concentration on granule size and microbial community in a granule-based enhanced biological phosphorus removal system, three influent nitrogen concentrations were tested while carbon concentration was an unlimited factor. The results show that although ammonium and phosphate were well removed in the tested nitrogen concentration range (20-50 mg L(-1)), granule size, the amount of phosphate accumulating organisms (PAOs) and microbial activity were affected significantly. A possible mechanism for the effect of influent nitrogen concentration on granule size is proposed based on the experimental results. The increase in proteins/polysaccharides ratio caused by high influent nitrogen concentration plays a crucial role in granule breakage. The small granule size then weakens simultaneous nitrification-denitrification, which further causes higher nitrate concentration in the effluent and lower amount of PAOs in sludge. Consequently, phosphate concentration in the anaerobic phase decreases, which plays the secondary role in granule breakage.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Enhanced biological phosphorus removal (EBPR); Granule size; Influent nitrogen concentration; Microbial community; Proteins/polysaccharides (PN/PS) ratio

Mesh:

Substances:

Year:  2014        PMID: 25496940     DOI: 10.1016/j.biortech.2014.11.093

Source DB:  PubMed          Journal:  Bioresour Technol        ISSN: 0960-8524            Impact factor:   9.642


  2 in total

1.  Microbial Population Dynamics and Ecosystem Functions of Anoxic/Aerobic Granular Sludge in Sequencing Batch Reactors Operated at Different Organic Loading Rates.

Authors:  Enikö Szabó; Raquel Liébana; Malte Hermansson; Oskar Modin; Frank Persson; Britt-Marie Wilén
Journal:  Front Microbiol       Date:  2017-05-01       Impact factor: 5.640

2.  Particle morphomics by high-throughput dynamic image analysis.

Authors:  Youmin Sun; Zhengqing Cai; Jie Fu
Journal:  Sci Rep       Date:  2019-07-03       Impact factor: 4.379

  2 in total

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