Evidence map›Paper›PMID 39392314›Full record

ArticleChemSusChem2025

Aqueous-Based Assembly of Plant-Derived Proteins Yields a Crosslinker-Free Biodegradable Bioplastic Consistent with Green Chemistry Principles.

Amit Kumar Sarkar, Ziyu Yang, Tal Astruc, Nadav Amdursky

Abstract read
In one paragraph

Article in ChemSusChem, 2025. 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
  2. Review
  3. 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.

Amit Kumar SarkarSchulich Faculty of Chemistry, Technion-Israel Institute of Technology, Haifa, 3200003, Israel.ORCID 0000-0002-8262-7485
Ziyu YangSchulich Faculty of Chemistry, Technion-Israel Institute of Technology, Haifa, 3200003, Israel.
Tal AstrucSchulich Faculty of Chemistry, Technion-Israel Institute of Technology, Haifa, 3200003, Israel.
Nadav AmdurskySchulich Faculty of Chemistry, Technion-Israel Institute of Technology, Haifa, 3200003, Israel.ORCID 0000-0003-1543-5333

Funding

Ministry of Environmental Protection 221-5-1
6 · The paper itself

Abstract

Plastics are an indispensable part of modern life. Due to the harmful environmental consequences of petroleum-based plastic usage, there is an urgent need to replace them with biodegradable bioplastics that meet the sustainability standards required for a low environmental footprint. Here, we use plant-derived proteins to produce bioplastics. Since most plant-derived proteins are not water-soluble, there has always been a need to use acidic or basic solutions or organic solvents with plasticizers and crosslinkers to produce bioplastic. Here, we present a counterintuitive approach for using water-insoluble plant-derived soy and pea proteins to manufacture large-scale bioplastics using only water as a solvent without common plasticizers or crosslinkers. We show that bioplastics can form via a self-assembly process initiated by a small molecular initiator while maintaining favourable mechanical properties. The lack of crosslinking and the protein nature of the bioplastic leads to a rapid biodegradation process under various conditions. Overall, the approach we present is highly attractive in terms of cost and time, and most importantly, it obeys all the relevant principles of green chemistry in bioplastics production.

Indexed as

Biodegradable PlasticsGreen Chemistry TechnologyPlant ProteinsSoybean ProteinsWaterBiodegradable PlasticsPlant ProteinsSoybean ProteinsWaterBiodegradable plasticsBioplasticsGreen chemistryPlant-derived proteinsSustainable chemistry

Identifiers

PMID39392314
PMCPMC11884229

What OpenQuestion holds

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LicenceCC BY-NC
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.