Sniffer worm, C. elegans, as a toxicity evaluation model organism with sensing and locomotion abilities.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2023
Historique:
received: 14 02 2023
accepted: 19 07 2023
medline: 4 8 2023
pubmed: 2 8 2023
entrez: 2 8 2023
Statut: epublish

Résumé

Additive manufacturing, or 3D printing, has revolutionized the way we create objects. However, its layer-by-layer process may lead to an increased incidence of local defects compared to traditional casting-based methods. Factors such as light intensity, depth of light penetration, component inhomogeneity, and fluctuations in nozzle temperature all contribute to defect formations. These defective regions can become sources of toxic component leakage, but pinpointing their locations in 3D printed materials remains a challenge. Traditional toxicological assessments rely on the extraction and subsequent exposure of living organisms to these harmful agents, thus only offering a passive detection approach. Therefore, the development of an active system to both identify and locate sources of toxicity is essential in the realm of 3D printing technologies. Herein, we introduce the use of the nematode model organism, Caenorhabditis elegans (C. elegans), for toxicity evaluation. C. elegans exhibits distinctive 'sensing' and 'locomotion' capabilities that enable it to actively navigate toward safe zones while steering clear of hazardous areas. This active behavior sets C. elegans apart from other aquatic and animal models, making it an exceptional choice for immediate and precise identification and localization of toxicity sources in 3D printed materials.

Identifiants

pubmed: 37531332
doi: 10.1371/journal.pone.0289493
pii: PONE-D-23-04286
pmc: PMC10395899
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0289493

Informations de copyright

Copyright: © 2023 Kim et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Jun Sung Kim (JS)

Department of Chemistry KAIST, Daejeon, Republic of Korea.

Sang-Kyu Park (SK)

Department of Medical Biotechnology, College of Medical Science, Soonchunhyang University, Asan, Chungnam, Korea.

Haeshin Lee (H)

Department of Chemistry KAIST, Daejeon, Republic of Korea.

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Classifications MeSH