Subtopic Deep Dive
Plasma-Generated Reactive Species in Biology
Research Guide
What is Plasma-Generated Reactive Species in Biology?
Plasma-Generated Reactive Species in Biology studies reactive oxygen and nitrogen species (RONS) like O3, OH•, NO, and H2O2 produced by non-thermal plasma-liquid interactions and their selective effects on biological systems.
Non-equilibrium atmospheric-pressure plasmas generate short-lived (OH•) and long-lived (H2O2, NO) RONS that interact with cells to induce apoptosis or sterilization (Lu et al., 2016; 1141 citations). Research shows Gram-positive and Gram-negative bacteria respond differently to these species due to cell wall variations (Mai-Prochnow et al., 2016; 672 citations). Over 10 key papers since 2010 document dose-response relationships and signaling pathway modulation.
Why It Matters
RONS from cold atmospheric plasma enable selective cancer cell killing without harming normal cells, as shown by plasma-activated medium down-regulating AKT kinase in glioblastoma (Tanaka et al., 2011; 343 citations). Bacterial inactivation varies by species sensitivity, supporting plasma for wound sterilization (Mai-Prochnow et al., 2016; 672 citations). These effects extend to dermatology applications like chronic wound healing and immunomodulation (Heinlin et al., 2010; 314 citations).
Key Research Challenges
RONS Generation Control
Precise control of short- vs. long-lived species like OH• and H2O2 remains difficult due to plasma-liquid interface dynamics (Attri et al., 2015; 489 citations). Lifetime prediction models need validation across devices (Reuter et al., 2018; 487 citations).
Selective Cytotoxicity Mechanisms
Differences in cancer vs. normal cell responses to RONS involve unclear signaling pathways like AKT and mitochondrial-nuclear cascades (Tanaka et al., 2011; 343 citations; Adachi et al., 2014; 328 citations).
Dose-Response Quantification
Establishing reproducible RONS doses for therapeutic effects is challenged by transport and biological variability (Lu et al., 2016; 1141 citations; Kalghatgi et al., 2011; 504 citations).
Essential Papers
Reactive species in non-equilibrium atmospheric-pressure plasmas: Generation, transport, and biological effects
Xinpei Lu, G V Naĭdis, Mounir Laroussi et al. · 2016 · Physics Reports · 1.1K citations
Gram positive and Gram negative bacteria differ in their sensitivity to cold plasma
Anne Mai‐Prochnow, Maryse Clauson, Jungmi Hong et al. · 2016 · Scientific Reports · 672 citations
Cold atmospheric plasma, a novel promising anti-cancer treatment modality
Dayun Yan, Jonathan H. Sherman, Michael Keidar · 2016 · Oncotarget · 514 citations
Over the past decade, cold atmospheric plasma (CAP), a near room temperature ionized gas has shown its promising application in cancer therapy. Two CAP devices, namely dielectric barrier discharge ...
Effects of Non-Thermal Plasma on Mammalian Cells
Sameer Kalghatgi, Crystal Kelly, Ekaterina Cerchar et al. · 2011 · PLoS ONE · 504 citations
Thermal plasmas and lasers have been widely used in medicine to cut, ablate and cauterize tissues through heating; in contrast, non-thermal plasma produces no heat, so its effects can be selective....
Generation mechanism of hydroxyl radical species and its lifetime prediction during the plasma-initiated ultraviolet (UV) photolysis
Pankaj Attri, Yong‐Hee Kim, Dae Hoon Park et al. · 2015 · Scientific Reports · 489 citations
The kINPen—a review on physics and chemistry of the atmospheric pressure plasma jet and its applications
Stephan Reuter, Thomas von Woedtke, Klaus‐Dieter Weltmann · 2018 · Journal of Physics D Applied Physics · 487 citations
ABSTRACT: The kINPen® plasma jet was developed from laboratory prototype to commercially available non-equilibrium cold plasma jet for various applications in materials research, surface treatment ...
The 2022 Plasma Roadmap: low temperature plasma science and technology
Igor Adamovich, Sumit Agarwal, Eduardo Ahedo et al. · 2022 · Journal of Physics D Applied Physics · 457 citations
Abstract The 2022 Roadmap is the next update in the series of Plasma Roadmaps published by Journal of Physics D with the intent to identify important outstanding challenges in the field of low-temp...
Reading Guide
Foundational Papers
Start with Kalghatgi et al. (2011; 504 citations) for non-thermal plasma effects on mammalian cells, then Tanaka et al. (2011; 343 citations) for selective glioblastoma killing via AKT, and Heinlin et al. (2010; 314 citations) for dermatology context.
Recent Advances
Study Adamovich et al. (2022; 457 citations) for LTP roadmap challenges, Reuter et al. (2018; 487 citations) on kINPen chemistry, and Yan et al. (2016; 514 citations) on anti-cancer applications.
Core Methods
RONS detection via spectroscopy/chemical probes; plasma devices include DBD, jets (kINPen); biological assays measure apoptosis, AKT signaling, bacterial viability (Lu et al., 2016; Attri et al., 2015).
How PapersFlow Helps You Research Plasma-Generated Reactive Species in Biology
Discover & Search
Research Agent uses searchPapers and exaSearch to find Lu et al. (2016) on RONS generation, then citationGraph reveals 50+ downstream papers on biological effects, while findSimilarPapers identifies related works like Attri et al. (2015).
Analyze & Verify
Analysis Agent applies readPaperContent to extract RONS yield data from Tanaka et al. (2011), verifies dose-responses with runPythonAnalysis for statistical modeling (NumPy/pandas), and uses verifyResponse (CoVe) with GRADE grading to confirm selectivity claims against contradictions in Mai-Prochnow et al. (2016).
Synthesize & Write
Synthesis Agent detects gaps in RONS signaling pathways across papers, flags contradictions in bacterial sensitivity; Writing Agent uses latexEditText, latexSyncCitations for 20+ references, and latexCompile to generate review sections with exportMermaid diagrams of apoptotic cascades.
Use Cases
"Plot H2O2 concentration vs. cancer cell death from plasma papers"
Research Agent → searchPapers → Analysis Agent → runPythonAnalysis (pandas/matplotlib extracts and plots dose-response data from Adachi et al. 2014 and Kalghatgi et al. 2011) → researcher gets publication-ready figure with stats.
"Write LaTeX review on RONS selectivity in plasma medicine"
Synthesis Agent → gap detection → Writing Agent → latexEditText + latexSyncCitations (Lu et al. 2016 et al.) + latexCompile → researcher gets compiled PDF with citations and RONS mechanism diagram.
"Find code for plasma RONS simulation models"
Research Agent → citationGraph on Attri et al. 2015 → Code Discovery (paperExtractUrls → paperFindGithubRepo → githubRepoInspect) → researcher gets verified GitHub repos with hydroxyl radical lifetime scripts.
Automated Workflows
Deep Research workflow scans 50+ papers via searchPapers on 'plasma RONS biology', structures reports with RONS types, biological effects, and GRADE-verified claims from Lu et al. (2016). DeepScan applies 7-step analysis with CoVe checkpoints to verify selectivity in Tanaka et al. (2011). Theorizer generates hypotheses on RONS signaling from Adachi et al. (2014) and Kalghatgi et al. (2011).
Frequently Asked Questions
What defines plasma-generated reactive species in biology?
Short- and long-lived RONS (O3, OH•, NO, H2O2) from non-thermal plasma-liquid interactions that selectively affect cells via dose-dependent cytotoxicity (Lu et al., 2016).
What are key methods for RONS generation?
Dielectric barrier discharge, plasma jets like kINPen, and plasma-activated medium produce RONS; UV photolysis predicts OH• lifetimes (Attri et al., 2015; Reuter et al., 2018).
What are the most cited papers?
Lu et al. (2016, 1141 citations) on RONS generation/transport; Mai-Prochnow et al. (2016, 672 citations) on bacterial sensitivity; Kalghatgi et al. (2011, 504 citations) on mammalian cells.
What are open problems?
Quantifying RONS doses for reproducibility, elucidating pathway selectivity, and scaling devices for clinical use (Adamovich et al., 2022; Lu et al., 2016).
Research Plasma Applications and Diagnostics with AI
PapersFlow provides specialized AI tools for Medicine researchers. Here are the most relevant for this topic:
Systematic Review
AI-powered evidence synthesis with documented search strategies
AI Literature Review
Automate paper discovery and synthesis across 474M+ papers
Find Disagreement
Discover conflicting findings and counter-evidence
Paper Summarizer
Get structured summaries of any paper in seconds
See how researchers in Health & Medicine use PapersFlow
Field-specific workflows, example queries, and use cases.
Start Researching Plasma-Generated Reactive Species in Biology with AI
Search 474M+ papers, run AI-powered literature reviews, and write with integrated citations — all in one workspace.
See how PapersFlow works for Medicine researchers