Evidence map›Paper›PMID 37580714›Full record

ArticleMicrobial cell factories2023

Rhizopus stolonifer biomass catalytic transesterification capability: optimization of cultivation conditions.

Nadeem I Elhussieny, Heba A El-Refai, Sayeda S Mohamed, Yousseria M Shetaia, Hala A Amin, Gerd Klöck

Abstract read
In one paragraph

Article in Microbial cell factories, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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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.

Nadeem I ElhussienyDepartment of Life Science and Chemistry, Constructor University, Campus Ring 1, 28759, Bremen, Germany. nelhussieny@constructor.university.
Heba A El-RefaiDepartment of Chemistry of Natural and Microbial Products, National Research Centre, Cairo, 12622, Egypt.
Sayeda S MohamedDepartment of Chemistry of Natural and Microbial Products, National Research Centre, Cairo, 12622, Egypt.
Yousseria M ShetaiaDepartment of Microbiology, Ain Shams University, Abbassia, Cairo, 11566, Egypt.
Hala A AminDepartment of Chemistry of Natural and Microbial Products, National Research Centre, Cairo, 12622, Egypt.
Gerd KlöckInstitute of Environmental Biology and Biotechnology, University of Applied Sciences, 28199, Bremen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUsing fungal biomass for biocatalysis is a potential solution for the expensive cost of the use o enzymes. Production of fungal biomass with effective activity requires optimizing the cultivation conditions.

resultsRhizopus stolonifer biomass was optimized for transesterification and hydrolysis of waste frying oil (WFO). Growth and biomass lipolytic activities of R. stolonifer improved under shaking conditions compared to static conditions, and 200 rpm was optimum. As biomass lipase and transesterification activities inducer, olive oil was superior to soybean, rapeseed, and waste frying oils. Biomass produced in culture media containing fishmeal as an N-source feedstock had higher lipolytic capabilities than corn-steep liquor and urea. Plackett Burman screening of 9 factors showed that pH (5-9), fishmeal (0.25-1.7%, w/v), and KH

conclusionOptimized culture conditions improved the whole cell transesterification capability of Rhizopus stolonifer biomass in terms of fatty acid methyl ester (FAME) concentration by 67.65% to a final FAME concentration of 85.5%, w/w.

Indexed as

Fatty AcidsRhizopusBiofuelsBiomassEsterificationLipaseBiofuelsFatty AcidsLipaseBiocatalysisBiodieselFungal biomassRhizopusTransesterificationTriglyceridesWhole-cell

Identifiers

PMID37580714
PMCPMC10424374

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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.