Evidence map›Paper›PMID 40215087›Full record

ArticleChemistry (Weinheim an der Bergstrasse, Germany)2025

Biodegradable Gel Blends with Enhanced Sensing Capabilities: SIO₂-Based Innovations for Sustainable and Eco-Friendly Packaging.

Miroslawa Prochon, Oleksandra Dzeikala, Szymon Szczepanik, Natalia Sędzikowska

Abstract read
In one paragraph

Article in Chemistry (Weinheim an der Bergstrasse, Germany), 2025. 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

4 authors.

Miroslawa ProchonInstitute of Polymer and Dye Technology, Faculty of Chemistry, Lodz University of Technology, Stefanowskiego 16, Lodz, 90-537, Poland.ORCID https://orcid.org/0000-0002-5309-160X
Oleksandra DzeikalaInstitute of Polymer and Dye Technology, Faculty of Chemistry, Lodz University of Technology, Stefanowskiego 16, Lodz, 90-537, Poland.ORCID https://orcid.org/0000-0002-1429-2599
Szymon SzczepanikInstitute of Polymer and Dye Technology, Faculty of Chemistry, Lodz University of Technology, Stefanowskiego 16, Lodz, 90-537, Poland.ORCID https://orcid.org/0000-0002-3979-5168
Natalia SędzikowskaInstitute of Polymer and Dye Technology, Faculty of Chemistry, Lodz University of Technology, Stefanowskiego 16, Lodz, 90-537, Poland.

Funding

Narodowe Centrum Nauki NCN, Krakow, Poland 4.0 2020/04/X/ST5/00869
6 · The paper itself

Abstract

Biopolymer blends (GGs) derived from renewable plant or animal-based raw materials, hold significant potential for competing in the packaging industry by offering environmentally biodegradable and bioresorbable alternatives. One of the main challenges lies in optimizing the mechanical properties to enhance stress transfer between active additives and the gelatin matrices reinforced with modified SiO₂ compounds. In this study, a 5 °C increase in the glass transition temperature and a fourfold improvement in tensile strength (reaching 12 MPa) were achieved by incorporating hydrophilic SiO₂ nanoclay. Ion distribution maps visualized the interactions between silicon derivatives and polypeptide domains within the gel matrix, revealing increased stability attributed to ions such as Si+, SiO+, SiH+, and SiHO+. The absence of heavy metals in the blends underscores their potential as environmentally friendly and sustainable packaging solutions, with promising applications in sectors such as medical packaging.

Indexed as

bioplasticsgelatin blendsGG75‐PVAhydrophilic bentonitenanoclay

Identifiers

PMID40215087
PMCPMC12144889

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.