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Plasma Treatment of Dental Cavities: A Feasibility Study

Sladek, R.E.J., Stoffels, E., Walraven, R., Tielbeek, P.J.A., Koolhoven, R.A.·2004·IEEE Transactions on Plasma Science

Abstract

Much effort is invested in the development of tissue-saving methods in dentistry. Cleaning and sterilization of infected tissue in a dental cavity or in a root channel can be accomplished using mechanical or laser techniques. However, with both approaches, heating and destruction of healthy tissue can occur. Recently, a nonthermal atmospheric plasma (plasma needle) has been developed. In this work, the interactions of this plasma with dental tissue is studied, and its capability of bacterial inactivation is tested. A plasma needle is an efficient source of various radicals, which are capable of bacterial decontamination; however, it operates at room temperature and thus, does not cause bulk destruction of the tissue. Plasma treatment is potentially a novel tissue-saving technique, allowing irregular structures and narrow channels within the diseased tooth to be cleaned.

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Metadata

Authors
Sladek, R. E. J., Stoffels, E., Walraven, R., Tielbeek, P. J. A., & Koolhoven, R. A.
Venue
IEEE Transactions on Plasma Science
Published
2004-08
Volume
32
Issue
4
Pages
1540-1543
ISSN
0093-3813 (ISSN-L)
OpenAlex
W2134231339
Cited by
253
References
0
FWCI
6.95
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Plasma Treatment of Dental Cavities: A Feasibility Study. https://app.cochat.ai/papers/10.1109/tps.2004.832636
The paper
Sladek, R. E. J., Stoffels, E., Walraven, R., Tielbeek, P. J. A., & Koolhoven, R. A. (2004). Plasma Treatment of Dental Cavities: A Feasibility Study. IEEE Transactions on Plasma Science. https://doi.org/10.1109/tps.2004.832636

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.