Sniffer Worm, C. elegans, as a Toxicity Evaluation Model Organism with Sensing and Locomotion Abilities
The probability of objects fabricated by three-dimensional (3D) printing exhibiting local defects is higher than that detected in products of conventional casting-based manufacturing. Multistep layer-by-layer procedures in additive manufacturing are the main reason. Light intensity and/or penetration depth, inhomogeneity of components, and variations in nozzle temperature are factors that create local defects. Defect regions are sources of toxic component release, but methods to identify them in printed materials have not been reported. Existing assays for evaluating material toxicity are based on extraction, and these toxicological assays use living creatures to passively detect harmful agents in extracted solutions. Thus, the development of an active system for identifying sites of toxicity sources is a critical and urgent issue in 3D printing technologies. Herein, we introduce an animal model system, C. elegans, for toxicity evaluation. C. elegans crawls toward safe regions but avoids toxically dangerous areas. The ‘sensing’ and ‘locomotion’ abilities of C. elegans are unparalleled among existing underwater and animal models, providing immediate indications to help find toxicity source sites.
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Posted 28 Dec, 2020
Received 12 Jan, 2021
On 01 Jan, 2021
On 01 Jan, 2021
On 01 Jan, 2021
On 01 Jan, 2021
On 01 Jan, 2021
On 01 Jan, 2021
Invitations sent on 29 Dec, 2020
On 29 Dec, 2020
On 23 Dec, 2020
On 23 Dec, 2020
On 14 Dec, 2020
Sniffer Worm, C. elegans, as a Toxicity Evaluation Model Organism with Sensing and Locomotion Abilities
Posted 28 Dec, 2020
Received 12 Jan, 2021
On 01 Jan, 2021
On 01 Jan, 2021
On 01 Jan, 2021
On 01 Jan, 2021
On 01 Jan, 2021
On 01 Jan, 2021
Invitations sent on 29 Dec, 2020
On 29 Dec, 2020
On 23 Dec, 2020
On 23 Dec, 2020
On 14 Dec, 2020
The probability of objects fabricated by three-dimensional (3D) printing exhibiting local defects is higher than that detected in products of conventional casting-based manufacturing. Multistep layer-by-layer procedures in additive manufacturing are the main reason. Light intensity and/or penetration depth, inhomogeneity of components, and variations in nozzle temperature are factors that create local defects. Defect regions are sources of toxic component release, but methods to identify them in printed materials have not been reported. Existing assays for evaluating material toxicity are based on extraction, and these toxicological assays use living creatures to passively detect harmful agents in extracted solutions. Thus, the development of an active system for identifying sites of toxicity sources is a critical and urgent issue in 3D printing technologies. Herein, we introduce an animal model system, C. elegans, for toxicity evaluation. C. elegans crawls toward safe regions but avoids toxically dangerous areas. The ‘sensing’ and ‘locomotion’ abilities of C. elegans are unparalleled among existing underwater and animal models, providing immediate indications to help find toxicity source sites.
Figure 1
Figure 2
Figure 3
Figure 4