Evidence map›Paper›PMID 24113894›Full record

ArticleJournal of industrial microbiology & biotechnology2013

Implementation of the sludge biotic index in a petrochemical WWTP in Brazil: improving operational control with traditional methods.

Ana Lusia Leal, Marina Schmidt Dalzochio, Tatiane Strogulski Flores, Aline Scherer de Alves, Julio Cesar Macedo, Victor Hugo Valiati

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Article in Journal of industrial microbiology & biotechnology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ana Lusia LealSuperintendence for the Treatment of Wastewater, Companhia Riograndense de Saneamento (SITEL/CORSAN), BR 386, km 419, Via 3, Polo Petroquímico do Sul, Bairro Bom Jardim, Triunfo, RS, CEP 95.583-000, Brazil, lusiacorte@gmail.com.
Marina Schmidt Dalzochio
Tatiane Strogulski Flores
Aline Scherer de Alves
Julio Cesar Macedo
Victor Hugo Valiati

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbiological analysis of activated sludge is an important tool for monitoring wastewater treatment plants (WWTP). The utilization of the sludge biotic index (SBI) provides helpful information in examining the quality of biological treatment process and has been tested for several different systems. Although its utilization has been increasing, it is still not widespread, especially in Brazil. Also, its applicability has been considered limited for some particular systems. Thus, it becomes important to evaluate the relations among operational and biological parameters of each WWTP in order to characterize the system and its variations. In this work, microscopic analysis were performed once a week for 1 year (n = 54) and the results were compared to the physicochemical, operational parameters and efficiency of the plant along the period. The four seasons were comprised and analyzed, as we cannot neglect the influence of environmental changes in this subtropical region. Not only had we found a strong influence of the evaluated parameters on the structure of the biological community but there is also a good correspondence of SBI with the performance of the WWTP. More importantly, including microscopic analysis in the operational routine made it possible to notice even the slightest changes in the biological community that were not enough to diminish the SBI classification of the sludge, but were satisfactorily informative to show in advance to operators when to take corrective actions about an increase of COD and BOD in the influent and when it was necessary to discard the exceeding sludge.

Indexed as

BiotaWater PurificationBrazilEnvironmental MonitoringSewageWaste Disposal, FluidSewage

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.