Literature DB >> 11827354

Sludge population optimisation: a new dimension for the control of biological wastewater treatment systems.

Zhiguo Yuan1, Linda L Blackall.   

Abstract

The activated sludge comprises a complex microbiological community. The structure (what types of microorganisms are present) and function (what can the organisms do and at what rates) of this community are determined by external physico-chemical features and by the influent to the sewage treatment plant. The external features we can manipulate but rarely the influent. Conventional control and operational strategies optimise activated sludge processes more as a chemical system than as a biological one. While optimising the process in a short time period, these strategies may deteriorate the long-term performance of the process due to their potentially adverse impact on the microbial properties. Through briefly reviewing the evidence available in the literature that plant design and operation affect both the structure and function of the microbial community in activated sludge, we propose to add sludge population optimisation as a new dimension to the control of biological wastewater treatment systems. We stress that optimising the microbial community structure and property should be an explicit aim for the design and operation of a treatment plant. The major limitations to sludge population optimisation revolve around inadequate microbiological data, specifically community structure, function and kinetic data. However, molecular microbiological methods that strive to provide that data are being developed rapidly. The combination of these methods with the conventional approaches for kinetic study is briefly discussed. The most pressing research questions pertaining to sludge population optimisation are outlined.

Entities:  

Mesh:

Substances:

Year:  2002        PMID: 11827354     DOI: 10.1016/s0043-1354(01)00230-5

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  7 in total

1.  Transcription levels (amoA mRNA-based) and population dominance (amoA gene-based) of ammonia-oxidizing bacteria.

Authors:  David H-W Kuo; Kevin G Robinson; Alice C Layton; Arthur J Meyers; Gary S Sayler
Journal:  J Ind Microbiol Biotechnol       Date:  2010-05-04       Impact factor: 3.346

2.  The effects of organic carbon, ammoniacal-nitrogen, and oxygen partial pressure on the stratification of membrane-aerated biofilms.

Authors:  Timothy M LaPara; Alina C Cole; John W Shanahan; Michael J Semmens
Journal:  J Ind Microbiol Biotechnol       Date:  2005-11-15       Impact factor: 3.346

3.  Detection of Bacillus and Stenotrophomonas species growing in an organic acid and endocrine-disrupting chemical-rich environment of distillery spent wash and its phytotoxicity.

Authors:  Ram Chandra; Vineet Kumar
Journal:  Environ Monit Assess       Date:  2016-12-20       Impact factor: 2.513

4.  Effect of free ammonia inhibition on NOB activity in high nitrifying performance of sludge.

Authors:  Fan Zhang; Hong Yang; Jiawei Wang; Ziqi Liu; Qingkun Guan
Journal:  RSC Adv       Date:  2018-09-13       Impact factor: 4.036

Review 5.  Behavior of lipids in biological wastewater treatment processes.

Authors:  K B Chipasa; K Medrzycka
Journal:  J Ind Microbiol Biotechnol       Date:  2006-02-21       Impact factor: 3.346

6.  Power analysis for real-time PCR quantification of genes in activated sludge and analysis of the variability introduced by DNA extraction.

Authors:  Hebe M Dionisi; Gerda Harms; Alice C Layton; Igrid R Gregory; Jack Parker; Shawn A Hawkins; Kevin G Robinson; Gary S Sayler
Journal:  Appl Environ Microbiol       Date:  2003-11       Impact factor: 4.792

7.  The choice of PCR primers has great impact on assessments of bacterial community diversity and dynamics in a wastewater treatment plant.

Authors:  Nils Johan Fredriksson; Malte Hermansson; Britt-Marie Wilén
Journal:  PLoS One       Date:  2013-10-01       Impact factor: 3.240

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.