Evidence map›Paper›PMID 36646861›Full record

ArticleWorld journal of microbiology & biotechnology2023

Kinetic characterization of a new phenol degrading Acinetobacter towneri strain isolated from landfill leachate treating bioreactor.

Szabolcs Szilveszter, Dezső-Róbert Fikó, István Máthé, Tamás Felföldi, Botond Ráduly

Abstract read
In one paragraph

Article in World journal of microbiology & biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Szabolcs SzilveszterDepartment of Bioengineering, Sapientia Hungarian University of Transylvania, P-ța Libertății 1, 530104, Miercurea Ciuc, Jud. HR, Romania.
Dezső-Róbert FikóDepartment of Bioengineering, Sapientia Hungarian University of Transylvania, P-ța Libertății 1, 530104, Miercurea Ciuc, Jud. HR, Romania.
István MáthéDepartment of Bioengineering, Sapientia Hungarian University of Transylvania, P-ța Libertății 1, 530104, Miercurea Ciuc, Jud. HR, Romania.
Tamás FelföldiDepartment of Microbiology, Eötvös Loránd University, Pázmány Péter stny. 1/C, Budapest, 1117, Hungary.ORCID http://orcid.org/0000-0003-2009-2478
Botond RádulyDepartment of Bioengineering, Sapientia Hungarian University of Transylvania, P-ța Libertății 1, 530104, Miercurea Ciuc, Jud. HR, Romania. radulybotond@uni.sapientia.ro.

Funding

Romanian National Authority for Scientific Research CNCS-UEFISCDI PN-II-RU-TE-2012-3-0319Sapientia Foundation - Institute for Scientific Research 13/24/17.05.2017
6 · The paper itself

Abstract

The objective of this study was to establish and to mathematically describe the phenol degrading properties of a new Acinetobacter towneri CFII-87 strain, isolated from a bioreactor treating landfill leachate. For this purpose, the biokinetic parameters of phenol biodegradation at various initial phenol concentrations of the A. towneri CFII-87 strain have been experimentally measured, and four different mathematical inhibition models (Haldane, Yano, Aiba and Edwards models) have been used to simulate the substrate-inhibited phenol degradation process. The results of the batch biodegradation experiments show that the new A. towneri CFII-87 strain grows on and metabolizes phenol up to 1000 mg/L concentration, manifests significant substrate inhibition and lag time only at concentrations above 800 mg/L phenol, and has a maximum growth rate at 300 mg/L initial phenol concentration. The comparison of the model predictions with the experimental phenol and biomass data revealed that the Haldane, Aiba and Edwards models can be used with success to describe the phenol biodegradation process by A. towneri CFII-87, while the Yano model, especially at higher initial phenol concentrations, fails to describe the process. The best performing inhibition model was the Edwards model, presenting correlation coefficients of R

Indexed as

PhenolWater Pollutants, ChemicalAcinetobacterBiodegradation, EnvironmentalBioreactorsKineticsPhenolsPhenolPhenolsWater Pollutants, ChemicalAcinetobacter towneriDegradation kineticsMathematical modellingPhenol biodegradationSubstrate inhibition model

Identifiers

PMID36646861
PMCPMC9842574

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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.