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    Rights statement: This is the author’s version of a work that was accepted for publication in Trends in Biotechnology. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Trends in Biotechnology, 36, 6, 2018 DOI: 10.1016/j.tibtech.2017.07.012

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Tracking the Penetration of Plasma Reactive Species in Tissue Models

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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<mark>Journal publication date</mark>06/2018
<mark>Journal</mark>Trends in Biotechnology
Issue number6
Volume36
Number of pages9
Pages (from-to)594-602
Publication StatusPublished
Early online date23/08/17
<mark>Original language</mark>English

Abstract

Electrically generated cold atmospheric plasma is being intensively researched for novel applications in biology and medicine. Significant attention is being given to reactive oxygen and nitrogen species (RONS), initially generated upon plasma–air interactions, and subsequently delivered to biological systems. Effects of plasma exposure are observed to millimeter depths within tissue. However, the exact nature of the initial plasma–tissue interactions remains unknown, including RONS speciation and delivery depth, or how plasma-derived RONS intervene in biological processes. Herein, we focus on current research using tissue and cell models to learn more about the plasma delivery of RONS into biological environments. We argue that this research is vital in underpinning the knowledge required to realize the full potential of plasma in biology and medicine.

Bibliographic note

This is the author’s version of a work that was accepted for publication in Trends in Biotechnology. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Trends in Biotechnology, 36, 6, 2018 DOI: 10.1016/j.tibtech.2017.07.012