Evidence map›Paper›PMID 39202917›Full record

ReviewMolecules (Basel, Switzerland)2024

Recent Advances in Food Waste Transformations into Essential Bioplastic Materials.

Abdulmoseen Segun Giwa, Ehtisham Shafique, Nasir Ali, Mohammadtaghi Vakili

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2024. 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
–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

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

4 authors.

Abdulmoseen Segun GiwaSchool of Civil and Environmental Engineering, Nanchang Institute of Science and Technology, Nanchang 330108, China.
Ehtisham ShafiqueDepartment of Biological and Health Sciences, Pak-Austria Fachhochschule: Institute of Applied Sciences and Technology, Khanpur Road Haripur 22621, Pakistan.ORCID 0009-0002-1262-4016
Nasir AliDepartment of Biological and Health Sciences, Pak-Austria Fachhochschule: Institute of Applied Sciences and Technology, Khanpur Road Haripur 22621, Pakistan.
Mohammadtaghi VakiliOrlen Unicre a.s., Revolǔcní 1521/84, 400 01 Ústí nad Labem, Czech Republic.ORCID 0000-0003-4978-6887

Funding

Start up funding (NGRCZX-22-03
6 · The paper itself

Abstract

Lignocellulose is a major biopolymer in plant biomass with a complex structure and composition. It consists of a significant amount of high molecular aromatic compounds, particularly vanillin, syringeal, ferulic acid, and muconic acid, that could be converted into intracellular metabolites such as polyhydroxyalkanoates (PHA) and hydroxybutyrate (PHB), a key component of bioplastic production. Several pre-treatment methods were utilized to release monosaccharides, which are the precursors of the relevant pathway. The consolidated bioprocessing of lignocellulose-capable microbes for biomass depolymerization was discussed in this study. Carbon can be stored in a variety of forms, including PHAs, PHBs, wax esters, and triacylglycerides. From a biotechnology standpoint, these compounds are quite adaptable due to their precursors' utilization of hydrogen energy. This study lays the groundwork for the idea of lignocellulose valorization into value-added products through several significant dominant pathways.

Indexed as

LigninBiomassBiopolymersFoodFood Loss and WastePolyhydroxyalkanoatesWaste ProductsBiopolymersFood Loss and WasteLigninlignocellulosePolyhydroxyalkanoatesWaste Productsbioplastics productionconsolidated bioprocessingkitchen wastelignocellulose depolymerizationpolyhydroxyalkanoates (PHA)renewable aromatics

Identifiers

PMID39202917
PMCPMC11357003

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.