Evidence map›Paper›PMID 40383787›Full record

ArticleBMC microbiology2025

Optimization and characterization of polyhydroxybutyrate produced by Halomonas meridiana using orange peel waste.

Mahmoud H Hendy, Amr M Shehabeldine, Amr H Hashem, Ahmed F El-Sayed, Hussein H El-Sheikh

Abstract read
In one paragraph

Article in BMC microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

5 authors.

Mahmoud H HendyBotany and Microbiology Department, Faculty of Science, Al-Azhar University, Cairo, 11884, Egypt. mahmoud.hendy.1@azhar.edu.eg.
Amr M ShehabeldineBotany and Microbiology Department, Faculty of Science, Al-Azhar University, Cairo, 11884, Egypt. dramrshehab@azhar.edu.eg.
Amr H HashemBotany and Microbiology Department, Faculty of Science, Al-Azhar University, Cairo, 11884, Egypt.
Ahmed F El-SayedMicrobial Genetics Department, Biotechnology Research Institute, National Research Centre, Giza, Egypt.
Hussein H El-SheikhBotany and Microbiology Department, Faculty of Science, Al-Azhar University, Cairo, 11884, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The production of bioplastics from marine microorganisms is significantly relevant in the field of biotechnological applications for sustainable ecological management. Nevertheless, the expense associated with PHB production is substantial and regarded as the primary obstacle to its industrialization. In this study, orange peel waste served as a carbon source to enhance PHB production efficiency. Among the 15 strains evaluated, MH 96 was selected for PHB production due to its high salt tolerance and efficient utilization of orange peel as a substrate. The highest producing PHB strain MH96 was genetically identified using 16S rRNA sequencing as Halomonas meridiana and submitted in the GenBank under accession numbers PP826284. The optimal fermentation conditions were evaluated through single-factor optimization. Upon completion of the response surface optimization, the Plackett-Burman and Box-Behnken design experiments were conducted utilizing the outcomes of the single-factor optimization. The final parameters were the inoculum size of 1.74, (NH

Indexed as

Citrus sinensisHalomonasHydroxybutyratesPolyestersDNA, BacterialFermentationPhylogenyPolyhydroxybutyratesRNA, Ribosomal, 16SDNA, BacterialHydroxybutyratespoly-beta-hydroxybutyratePolyesterspolyhydroxybutyratePolyhydroxybutyratesRNA, Ribosomal, 16SHalomonas meridianaHalophilic bacteriaPolyhydroxybutyrateResponse surface optimization

Identifiers

PMID40383787
PMCPMC12087205

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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.