Evidence map›Paper›PMID 41658151›Full record

ArticleACS omega2026

Unraveling Sterilization Effects on Konjac Glucomannan: Insights into a Natural Biopolymer for Biomedical Applications.

Mariah Zajankauskas Orçati, Mariana Agostini de Moraes, Marisa Masumi Beppu

Abstract read
In one paragraph

Article in ACS omega, 2026. 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

3 authors.

Mariah Zajankauskas OrçatiSchool of Chemical Engineering, Department of Materials and Bioprocess Engineering, University of Campinas, Campinas, SP 13083-852, Brazil.ORCID https://orcid.org/0000-0001-6234-9185
Mariana Agostini de MoraesSchool of Chemical Engineering, Department of Materials and Bioprocess Engineering, University of Campinas, Campinas, SP 13083-852, Brazil.ORCID https://orcid.org/0000-0002-2586-6834
Marisa Masumi BeppuSchool of Chemical Engineering, Department of Materials and Bioprocess Engineering, University of Campinas, Campinas, SP 13083-852, Brazil.ORCID https://orcid.org/0000-0001-6519-6970

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sterilization is essential for ensuring the safety and biocompatibility of biomaterials intended for biomedical use. However, their sensitivity to sterilization methods requires careful evaluation of potential impacts on structural and functional integrity. Biopolymers such as konjac glucomannan (KGM) have emerged as promising candidates for wound healing and tissue engineering due to their favorable physicochemical properties along with improved thermal resistance and adequate mechanical properties. In this study, KGM-based films were developed and subjected to different sterilization and disinfection protocolsincluding autoclaving, ethylene oxide (EtO), γ irradiation, UV radiation, and 70% ethanoland were evaluated on their physical, chemical, mechanical, and biological properties by scanning electron microscopy (SEM), Fourier-transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), thermogravimetric analysis (TGA), mechanical analyses and in vitro cytotoxicity. The results showed that γ and UV irradiation induced the most pronounced changes in film properties, whereas autoclaving and EtO better preserved the materials' integrity. Additionally, 70% ethanol demonstrated satisfactory performance as a disinfectant. These findings underscore the importance of selecting appropriate sterilization methods to ensure the efficacy and functionality of KGM-based biomaterials.

Identifiers

PMID41658151
PMCPMC12878443

What OpenQuestion holds

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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.