Literature DB >> 24176501

Activated sludge characterization through microscopy: a review on quantitative image analysis and chemometric techniques.

Daniela P Mesquita1, A Luís Amaral, Eugénio C Ferreira.   

Abstract

In wastewater treatment processes, and particularly in activated sludge systems, efficiency is quite dependent on the operating conditions, and a number of problems may arise due to sludge structure and proliferation of specific microorganisms. In fact, bacterial communities and protozoa identification by microscopy inspection is already routinely employed in a considerable number of cases. Furthermore, quantitative image analysis techniques have been increasingly used throughout the years for the assessment of aggregates and filamentous bacteria properties. These procedures are able to provide an ever growing amount of data for wastewater treatment processes in which chemometric techniques can be a valuable tool. However, the determination of microbial communities' properties remains a current challenge in spite of the great diversity of microscopy techniques applied. In this review, activated sludge characterization is discussed highlighting the aggregates structure and filamentous bacteria determination by image analysis on bright-field, phase-contrast, and fluorescence microscopy. An in-depth analysis is performed to summarize the many new findings that have been obtained, and future developments for these biological processes are further discussed.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Activated sludge; Aggregates; Chemometric techniques; Filaments; Image analysis; Morphology

Mesh:

Substances:

Year:  2013        PMID: 24176501     DOI: 10.1016/j.aca.2013.09.016

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  6 in total

1.  Use of chemometric analyses to assess biological wastewater treatment plants by protozoa and metazoa monitoring.

Authors:  A Luís Amaral; Cristiano S Leal; A Isabel Vaz; J Carvalho Vieira; Andreia C Quinteiro; M Lourdes Costa; L Miguel Castro
Journal:  Environ Monit Assess       Date:  2018-08-02       Impact factor: 2.513

2.  Quantitative image analysis of polyhydroxyalkanoates inclusions from microbial mixed cultures under different SBR operation strategies.

Authors:  António L Amaral; Hugo Abreu; Cristiano Leal; Daniela P Mesquita; Luís M Castro; Eugénio C Ferreira
Journal:  Environ Sci Pollut Res Int       Date:  2017-05-12       Impact factor: 4.223

3.  Clue Cells and Pseudo Clue Cells in Different Morphotypes of Bacterial Vaginosis.

Authors:  Alexander Swidsinski; Vera Loening-Baucke; Sonja Swidsinski; Jack D Sobel; Yvonne Dörffel; Alexander Guschin
Journal:  Front Cell Infect Microbiol       Date:  2022-05-27       Impact factor: 6.073

4.  Developing and Integrating Advanced Movement Features Improves Automated Classification of Ciliate Species.

Authors:  Ali Soleymani; Frank Pennekamp; Owen L Petchey; Robert Weibel
Journal:  PLoS One       Date:  2015-12-17       Impact factor: 3.240

5.  Rapid Enrichment and Isolation of Polyphosphate-Accumulating Organisms Through 4'6-Diamidino-2-Phenylindole (DAPI) Staining With Fluorescence-Activated Cell Sorting (FACS).

Authors:  Mia Terashima; Yoichi Kamagata; Souichiro Kato
Journal:  Front Microbiol       Date:  2020-04-30       Impact factor: 5.640

6.  New framework for automated article selection applied to a literature review of Enhanced Biological Phosphorus Removal.

Authors:  Minh Nguyen Quang; Tim Rogers; Jan Hofman; Ana B Lanham
Journal:  PLoS One       Date:  2019-05-09       Impact factor: 3.240

  6 in total

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