Evidence map›Paper›PMID 34829082›Full record

ArticleFoods (Basel, Switzerland)2021

Mathematical Modelling of Canola Oil Biodegradation and Optimisation of Biosurfactant Production by an Antarctic Bacterial Consortium Using Response Surface Methodology.

Khadijah Nabilah Mohd Zahri, Khalilah Abdul Khalil, Claudio Gomez-Fuentes, Azham Zulkharnain, Suriana Sabri, Peter Convey, Sooa Lim, Siti Aqlima Ahmad

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2021. 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. 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

8 authors.

Khadijah Nabilah Mohd ZahriDepartment of Biochemistry, Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia.
Khalilah Abdul KhalilSchool of Biology, Faculty of Applied Sciences, Universiti Teknologi MARA, Section 2, Shah Alam 45000, Selangor, Malaysia.
Claudio Gomez-FuentesDepartment of Chemical Engineering, Universidad de Magallanes, Avda. Bulnes 01855, Punta Arenas, Chile.ORCID 0000-0001-9060-7727
Azham ZulkharnainDepartment of Bioscience and Engineering, College of Systems Engineering and Science, Shibaura Institute of Technology, 307 Fukasaku, Minuma-ku, Saitama 337-8570, Japan.ORCID 0000-0001-9173-8171
Suriana SabriDepartment of Microbiology, Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia.ORCID 0000-0003-4027-5730
Peter ConveyBritish Antarctic Survey, NERC, High Cross, Madingley Road, Cambridge CB3 0ET, UK.ORCID 0000-0001-8497-9903
Sooa LimDepartment of Pharmaceutical Engineering, Hoseo University, Asan-si 31499, Chungnam, Korea.
Siti Aqlima AhmadDepartment of Biochemistry, Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia.ORCID 0000-0002-7625-3704

Funding

Centro de Investigacion y Monitoreo Ambiental Antàrctico CIMAAKorea government (MSIT) National Research Foundation of Korea (NRF) grant (No. 2021R1G1A1010154)Natural Environment Research Council BAS 'Biodiversity, Evolution and Adaptation' Team.Sultan Mizan Antarctic Research Foundation (YPASM) YPASM Smart Partnership Initiative (6300247)Universiti Putra Malaysia GPM‒2018/9660000, GPM‒2019/9678900
6 · The paper itself

Abstract

An Antarctic soil bacterial consortium (reference BS14) was confirmed to biodegrade canola oil, and kinetic studies on this biodegradation were carried out. The purpose of this study was to examine the ability of BS14 to produce biosurfactants during the biodegradation of canola oil. Secondary mathematical equations were chosen for kinetic analyses (Monod, Haldane, Teissier-Edwards, Aiba and Yano models). At the same time, biosurfactant production was confirmed through a preliminary screening test and further optimised using response surface methodology (RSM). Mathematical modelling demonstrated that the best-fitting model was the Haldane model for both waste (WCO) and pure canola oil (PCO) degradation. Kinetic parameters including the maximum degradation rate (

Indexed as

Antarctic bacteriabiosurfactantcanola oilcentral composite designdegradationkinetic modelling

Identifiers

PMID34829082
PMCPMC8621366

What OpenQuestion holds

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LicenceCC BY
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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.