ABSTRACT The poultry meat industry faces significant safety challenges from Campylobacter spp and Salmonella spp contaminations. This research proposes plasma‐functionalized water (PFW) to control these pathogens, aligning with the processing practices and speeds in high‐throughput poultry‐processing chains. Plasma‐generation time, water volume, and contact time are key plasma process parameters controlling the antimicrobial efficacy and chemical profile of PFW. Campylobacter spp and Salmonella spp are reduced below microbial detection limits and lose total metabolic activity. In the presence of poultry meat residues, extension of contact time is required to improve bacterial inactivation. PFW can retain its antimicrobial potential at scalding temperatures. PFW is proposed to flexibly sustain microbial safety in different critical poultry processing chain stages like washing and scalding.
ABSTRACT This study introduces plasma‐triggered liposomal cargo release as a promising new approach for externally activatable drug delivery systems (DDS). The metal complex [Pt(1 S ,2 S ‐diaminocyclohexane)(4,7‐dimethoxy‐1,10‐phenanthroline)] 2+ ( 1 ) was encapsulated into L‐α‐phosphatidylcholine liposomes. Liposomal formulations of 1 were treated with a microscale atmospheric pressure plasma jet (cold atmospheric plasma, CAP), and cargo release was monitored with inductively coupled plasma optical emission spectroscopy (ICP‐OES). Moreover, the cytotoxic activity of 1 and its liposomal formulation treated with CAP for different times was analyzed via cell viability assays and calibrated to control experiments. Liposomal encapsulation enhances cytotoxicity and protects the metal complex from plasma‐induced decomposition, thereby offering a novel, enhanced DDS that overcomes the limited penetration depth of plasma‐generated short‐lived RONS as a direct antiproliferative modality.
Hydrogen peroxide formation in gas-liquid discharge plasma is usually associated with the recombination of plasma-generated hydroxyl radicals (center dot OH). Although alcohols are commonly regarded as center dot OH scavengers and are therefore expected to inhibit peroxide formation, their effects in plasma-liquid environments remain poorly understood. Here, methanol was used as a model alcohol to study alcohol-regulated H2O2 formation in an O2-containing bubble plasma system. Low methanol volume fractions markedly enhanced H2O2 accumulation, whereas excessive methanol caused early saturation and reduced sustained peroxide production. H2O2 formation also showed a non-monotonic dependence on O2 fraction, indicating the need to balance methanol content and O2 availability. OES, electron-density analysis, and ESR measurements revealed that alcohols regulate plasma-induced H2O2 formation by coupling plasma excitation with liquid-phase radical chemistry, rather than simply acting as hydroxyl radical scavengers.
ABSTRACT Reducing electricity demand without externally dosed oxidants is essential for resource‐efficient plasma water treatment. We developed an energy‐aware framework integrating machine‐learning prediction, SHAP interpretation, and multi‐objective optimization. Using 716 records from 24 studies, nine algorithms were evaluated for degradation and energy efficiency. CatBoost performed best, achieving test‐set R 2 values of 0.9089 and 0.9407, respectively. SHAP identified treatment time and voltage as the dominant predictors of degradation and energy efficiency, revealing their trade‐off. For trimethoprim in deionized water, CatBoost models coupled with NSGA‐II identified energy‐oriented, balanced, and high‐degradation operating windows. Three Pareto conditions were experimentally validated, with errors below 5% and 9%, respectively. The framework avoids external oxidants, although mineralization, toxicity, off‐gas emissions, and life‐cycle impacts require assessment in future studies.
ABSTRACT An approach for connecting optical emission spectra (OES), collisional–radiative (C–R) model, and plasma reaction kinetics simulation is established to understand the plasma chemistry in atmospheric air DBD plasma. The correlation between the reduced electric field ( E/N ) and the vibrational distribution of N 2 ( C 3 Π) is established with C–R model. The E/N is then inferred from OES of the N 2 second positive system, and the electron energy distribution (EEDF) is estimated accordingly to enable plasma reaction kinetics simulation. The results show that the agreement between measured OES and C–R model prediction is better than that in Boltzmann fitting. The plasma kinetic simulation based on the derived EEDF also yields a nice agreement for experiment and simulation in trend of NO x concentration.
