Evidence map›Paper›PMID 31691030›Full record

ArticleJournal of industrial microbiology & biotechnology2020

INDISIM-Denitrification, an individual-based model for study the denitrification process.

Pablo Araujo-Granda, Anna Gras, Marta Ginovart, Vincent Moulton

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of industrial microbiology & biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. High Cell Density Cultivation ofFrontiers in bioengineering and biotechnology · 2022
    Article
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

4 authors.

Pablo Araujo-GrandaChemical Engineering Faculty, Universidad Central del Ecuador, Ciudad Universitaria, Ritter y Bolivia, 17-01-3972, Quito, Ecuador. pablo@araujo.ec.ORCID http://orcid.org/0000-0002-8323-4827
Anna GrasDepartment of Agri-Food Engineering and Biotechnology, Universitat Politècnica de Catalunya, Edifici D4, Esteve Terradas 8, Castelldefels, 08860, Barcelona, Spain.
Marta GinovartDepartment of Mathematics, Universitat Politècnica de Catalunya, Edifici D4, Esteve Terradas 8, Castelldefels, 08860, Barcelona, Spain.
Vincent MoultonSchool of Computing Sciences, University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, UK.

Funding

Ecuador National Secretary of Higher Education, Science, Technology and Innovation (SENESCYT) Convocatoria Abierta 2011Plan Nacional I+D+i Ministerio Español de Educación y Ciencia CGL2010-20160Plan Nacional I+D+i Ministerio Español de Educación y Ciencia MICINNUniversidad Central del Ecuador Proyecto de Investigación No. 26
6 · The paper itself

Abstract

Denitrification is one of the key processes of the global nitrogen (N) cycle driven by bacteria. It has been widely known for more than 100 years as a process by which the biogeochemical N-cycle is balanced. To study this process, we develop an individual-based model called INDISIM-Denitrification. The model embeds a thermodynamic model for bacterial yield prediction inside the individual-based model INDISIM and is designed to simulate in aerobic and anaerobic conditions the cell growth kinetics of denitrifying bacteria. INDISIM-Denitrification simulates a bioreactor that contains a culture medium with succinate as a carbon source, ammonium as nitrogen source and various electron acceptors. To implement INDISIM-Denitrification, the individual-based model INDISIM was used to give sub-models for nutrient uptake, stirring and reproduction cycle. Using a thermodynamic approach, the denitrification pathway, cellular maintenance and individual mass degradation were modeled using microbial metabolic reactions. These equations are the basis of the sub-models for metabolic maintenance, individual mass synthesis and reducing internal cytotoxic products. The model was implemented in the open-access platform NetLogo. INDISIM-Denitrification is validated using a set of experimental data of two denitrifying bacteria in two different experimental conditions. This provides an interactive tool to study the denitrification process carried out by any denitrifying bacterium since INDISIM-Denitrification allows changes in the microbial empirical formula and in the energy-transfer-efficiency used to represent the metabolic pathways involved in the denitrification process. The simulator can be obtained from the authors on request.

Indexed as

DenitrificationAmmonium CompoundsBacteriaBioreactorsCarbonNitrogenThermodynamicsAmmonium CompoundsCarbonNitrogenBacterial yield predictionDenitrificationINDISIMIndividual-based modelNetLogoThermodynamic electron equivalent model

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.