Atmospheric pressure plasmas are widely used for nitrogen fixation processes to produce ammonia NH3 or nitrogen oxides NOx, including, for example, nitrite NO2− or nitrate NO3−. Small‐scale atmospheric pressure plasma jets (APPJs) can provide the production of these species on demand at the site of consumption. The species of interest are generated by the plasma and can be dissolved in liquids, for example, to use them. In this work, liquid treatments were performed by an APPJ operated in a He––– gas composition to investigate the influence of the gas composition on the production of hydrogen peroxide , and . A validation of two diagnostics showed that the spectrophotometric approach using ammonium metavanadate was interfered by other species when was added to the system. Thus, electrochemical sensing of was performed. The concentrations of and were measured by commercially available test kits based on the o‐phythalaldehyde method and the Griess reagent, respectively. At low admixtures, the dominant species was with a maximum concentration of 0.9 mM, while became dominant at admixtures of 0.5% and higher with concentrations of up to 1.5 mM. was also present in the system and could be measured at low concentrations of less than 0.2 mM in the liquid. By varying the treatment distance and the gas flow rate, insights into the transport phenomena of the species and their dissolution into the liquid could be gained. Low‐frequency pulsing of the radio frequency (RF) jet led to an accumulating effect on , a reduced production of and a switch from ‐dominated production to ‐dominated production.
{"title":"Nitrogen fixation and H202H2O2 ${{rm{H}}}_{2}{{rm{O}}}_{2}$ production by an atmospheric pressure plasma jet operated in He–H20–N2–O2 gas mixtures","authors":"Steffen Schüttler, Jannis Kaufmann, Judith Golda","doi":"10.1002/ppap.202300233","DOIUrl":"https://doi.org/10.1002/ppap.202300233","url":null,"abstract":"Atmospheric pressure plasmas are widely used for nitrogen fixation processes to produce ammonia NH3 or nitrogen oxides NO<jats:italic>x</jats:italic>, including, for example, nitrite NO2− or nitrate NO3−. Small‐scale atmospheric pressure plasma jets (APPJs) can provide the production of these species on demand at the site of consumption. The species of interest are generated by the plasma and can be dissolved in liquids, for example, to use them. In this work, liquid treatments were performed by an APPJ operated in a He––– gas composition to investigate the influence of the gas composition on the production of hydrogen peroxide , and . A validation of two diagnostics showed that the spectrophotometric approach using ammonium metavanadate was interfered by other species when was added to the system. Thus, electrochemical sensing of was performed. The concentrations of and were measured by commercially available test kits based on the o‐phythalaldehyde method and the Griess reagent, respectively. At low admixtures, the dominant species was with a maximum concentration of 0.9 mM, while became dominant at admixtures of 0.5% and higher with concentrations of up to 1.5 mM. was also present in the system and could be measured at low concentrations of less than 0.2 mM in the liquid. By varying the treatment distance and the gas flow rate, insights into the transport phenomena of the species and their dissolution into the liquid could be gained. Low‐frequency pulsing of the radio frequency (RF) jet led to an accumulating effect on , a reduced production of and a switch from ‐dominated production to ‐dominated production.","PeriodicalId":20135,"journal":{"name":"Plasma Processes and Polymers","volume":"2 1","pages":""},"PeriodicalIF":3.5,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140826927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chao‐Jun Chen, Yi‐Nong Li, Hong‐Li Wang, Ke Lu, Zhi Zheng, Hao Yuan, Jian‐Ping Liang, Wen‐Chun Wang, Li‐Ping Han, De‐Zheng Yang
The efficient removal of low‐concentration endocrine disruptors is crucial for the protection of the aquatic environment. In this study, porous polymer adsorbent materials were modified by nanosecond pulsed discharge plasma to achieve efficient adsorption of low‐concentration bisphenol A (BPA). The removal efficiency of BPA reached 99% after 10 min of plasma modification at a pulse peak voltage of 28 kV, which increased by 25.8% compared to the raw materials. This enhancement was attributed to the increase of active sites and oxygen‐containing functional groups. The adsorption behaviors of the porous polymer materials were primarily dominated by monolayer chemisorption. Subsequently, comparative experiments further verified the high‐efficiency adsorption performance of porous polymer materials after plasma treatment.
{"title":"Nanosecond pulsed discharge plasma modified porous polymer adsorbent materials for efficient removal of low‐concentration bisphenol A in liquid","authors":"Chao‐Jun Chen, Yi‐Nong Li, Hong‐Li Wang, Ke Lu, Zhi Zheng, Hao Yuan, Jian‐Ping Liang, Wen‐Chun Wang, Li‐Ping Han, De‐Zheng Yang","doi":"10.1002/ppap.202400021","DOIUrl":"https://doi.org/10.1002/ppap.202400021","url":null,"abstract":"The efficient removal of low‐concentration endocrine disruptors is crucial for the protection of the aquatic environment. In this study, porous polymer adsorbent materials were modified by nanosecond pulsed discharge plasma to achieve efficient adsorption of low‐concentration bisphenol A (BPA). The removal efficiency of BPA reached 99% after 10 min of plasma modification at a pulse peak voltage of 28 kV, which increased by 25.8% compared to the raw materials. This enhancement was attributed to the increase of active sites and oxygen‐containing functional groups. The adsorption behaviors of the porous polymer materials were primarily dominated by monolayer chemisorption. Subsequently, comparative experiments further verified the high‐efficiency adsorption performance of porous polymer materials after plasma treatment.","PeriodicalId":20135,"journal":{"name":"Plasma Processes and Polymers","volume":"86 1","pages":""},"PeriodicalIF":3.5,"publicationDate":"2024-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140827065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study employs X‐ray photoelectron spectroscopy (XPS), thickness measurements, permeation analysis and laser scanning microscopy to analyse the stretch tolerance in dependence of the chemical composition and deposition rates of plasma‐enhanced chemical vapour deposition coatings. SiOx and SiOCH coatings are deposited on polyethylene terephthalate film using a full factorial study design of three parameters (monomer/oxygen mass flow and pulse duration). They exhibit distinct differences, with the monomer mass flow emerging as a critical factor influencing deposition rates and stretch tolerance. SiOCH coatings demonstrate faster growth rates due to higher monomer flow. SiOx coatings exhibit superior barrier performance. Stretch tolerance does not solely correlate with atomic composition, since a SiOx coating with higher‐than‐predicted stretch tolerance was observed.
本研究采用 X 射线光电子能谱 (XPS)、厚度测量、渗透分析和激光扫描显微镜来分析等离子体增强化学气相沉积涂层的拉伸耐受性与化学成分和沉积速率的关系。通过对三个参数（单体/氧气质量流量和脉冲持续时间）进行全因子研究设计，在聚对苯二甲酸乙二醇酯薄膜上沉积了 SiOx 和 SiOCH 涂层。它们表现出明显的差异，其中单体质量流量是影响沉积速率和拉伸耐受性的关键因素。由于单体流量较高，SiOCH 涂层的生长速度更快。SiOx 涂层则表现出更优异的阻隔性能。拉伸耐受性并不完全与原子成分相关，因为观察到一种氧化硅涂层的拉伸耐受性高于预测值。
{"title":"Stretch‐tolerant PECVD gas barrier coatings for sustainable flexible packaging","authors":"Philipp Alizadeh, Jonas Franke, Rainer Dahlmann","doi":"10.1002/ppap.202400018","DOIUrl":"https://doi.org/10.1002/ppap.202400018","url":null,"abstract":"This study employs X‐ray photoelectron spectroscopy (XPS), thickness measurements, permeation analysis and laser scanning microscopy to analyse the stretch tolerance in dependence of the chemical composition and deposition rates of plasma‐enhanced chemical vapour deposition coatings. SiO<jats:sub><jats:italic>x</jats:italic></jats:sub> and SiOCH coatings are deposited on polyethylene terephthalate film using a full factorial study design of three parameters (monomer/oxygen mass flow and pulse duration). They exhibit distinct differences, with the monomer mass flow emerging as a critical factor influencing deposition rates and stretch tolerance. SiOCH coatings demonstrate faster growth rates due to higher monomer flow. SiO<jats:sub><jats:italic>x</jats:italic></jats:sub> coatings exhibit superior barrier performance. Stretch tolerance does not solely correlate with atomic composition, since a SiO<jats:sub><jats:italic>x</jats:italic></jats:sub> coating with higher‐than‐predicted stretch tolerance was observed.","PeriodicalId":20135,"journal":{"name":"Plasma Processes and Polymers","volume":"49 1","pages":""},"PeriodicalIF":3.5,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140630673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dhanuja N. Abeysingha, Shifa Dinesh, M. S. Roopesh, Thomas D. Warkentin, Malinda S. Thilakarathna
Cold plasma enhances various biological processes in plants. This study assessed the impact of cold plasma seed treatments on nodulation, root, and shoot growth in pea and lentil under controlled environmental conditions. Seeds were treated with cold plasma generated by a dielectric barrier discharge (DBD) and a pin electrode reactor (PER), with three different exposure durations (3, 6, and 12 min). At 4 weeks, notable enhancements were observed in nodule number and dry weight, root dry weight, length, volume, surface area, and shoot dry weight. The 3‐ and 6‐min exposure using the DBD and the 3‐min exposure using the PER system demonstrated the most significant increases or upward trends in these traits, highlighting the intricate nature of seed–plasma interactions.
{"title":"The effect of cold plasma seed treatments on nodulation and plant growth in pea (Pisum sativum) and lentil (Lens culinaris)","authors":"Dhanuja N. Abeysingha, Shifa Dinesh, M. S. Roopesh, Thomas D. Warkentin, Malinda S. Thilakarathna","doi":"10.1002/ppap.202400015","DOIUrl":"https://doi.org/10.1002/ppap.202400015","url":null,"abstract":"Cold plasma enhances various biological processes in plants. This study assessed the impact of cold plasma seed treatments on nodulation, root, and shoot growth in pea and lentil under controlled environmental conditions. Seeds were treated with cold plasma generated by a dielectric barrier discharge (DBD) and a pin electrode reactor (PER), with three different exposure durations (3, 6, and 12 min). At 4 weeks, notable enhancements were observed in nodule number and dry weight, root dry weight, length, volume, surface area, and shoot dry weight. The 3‐ and 6‐min exposure using the DBD and the 3‐min exposure using the PER system demonstrated the most significant increases or upward trends in these traits, highlighting the intricate nature of seed–plasma interactions.","PeriodicalId":20135,"journal":{"name":"Plasma Processes and Polymers","volume":"2 1","pages":""},"PeriodicalIF":3.5,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140611841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Plasma medicine has attracted tremendous interest in a variety of medical conditions, ranging from wound healing to antimicrobial applications, even in cancer treatment, through the interactions of cold atmospheric plasma (CAP) and various biological tissues directly or indirectly. The underlying mechanisms of CAP treatment are still poorly understood although the oxidative effects of CAP with amino acids, peptides, and proteins have been explored experimentally. In this study, machine learning (ML) technology is introduced to efficiently unveil the interaction mechanisms of amino acids and reactive oxygen species (ROS) in seconds based on the data obtained from the reactive molecular dynamics (MD) simulations, which are performed to probe the interaction of five types of amino acids with various ROS on the timescale of hundreds of picoseconds but with the huge computational load of several days. The oxidative reactions typically start with H‐abstraction, and the details of the breaking and formation of chemical bonds are revealed; the modification types, such as nitrosylation, hydroxylation, and carbonylation, can be observed. The dose effects of ROS are also investigated by varying the number of ROS in the simulation box, indicating agreement with the experimental observation. To overcome the limits of timescales and the size of molecular systems in reactive MD simulations, a deep neural network (DNN) with five hidden layers is constructed according to the reaction data and employed to predict the type of oxidative modification and the probability of occurrence only in seconds as the dose of ROS varies. The well‐trained DNN can effectively and accurately predict the oxidative processes and productions, which greatly improves the computational efficiency by almost ten orders of magnitude compared with the reactive MD simulation. This study shows the great potential of ML technology to efficiently unveil the underpinning mechanisms in plasma medicine based on the data from reactive MD simulations or experimental measurements.
{"title":"Unveiling the interaction mechanisms of cold atmospheric plasma and amino acids by machine learning","authors":"Zhao‐Nan Chai, Xu‐Cheng Wang, Maksudbek Yusupov, Yuan‐Tao Zhang","doi":"10.1002/ppap.202300230","DOIUrl":"https://doi.org/10.1002/ppap.202300230","url":null,"abstract":"Plasma medicine has attracted tremendous interest in a variety of medical conditions, ranging from wound healing to antimicrobial applications, even in cancer treatment, through the interactions of cold atmospheric plasma (CAP) and various biological tissues directly or indirectly. The underlying mechanisms of CAP treatment are still poorly understood although the oxidative effects of CAP with amino acids, peptides, and proteins have been explored experimentally. In this study, machine learning (ML) technology is introduced to efficiently unveil the interaction mechanisms of amino acids and reactive oxygen species (ROS) in seconds based on the data obtained from the reactive molecular dynamics (MD) simulations, which are performed to probe the interaction of five types of amino acids with various ROS on the timescale of hundreds of picoseconds but with the huge computational load of several days. The oxidative reactions typically start with H‐abstraction, and the details of the breaking and formation of chemical bonds are revealed; the modification types, such as nitrosylation, hydroxylation, and carbonylation, can be observed. The dose effects of ROS are also investigated by varying the number of ROS in the simulation box, indicating agreement with the experimental observation. To overcome the limits of timescales and the size of molecular systems in reactive MD simulations, a deep neural network (DNN) with five hidden layers is constructed according to the reaction data and employed to predict the type of oxidative modification and the probability of occurrence only in seconds as the dose of ROS varies. The well‐trained DNN can effectively and accurately predict the oxidative processes and productions, which greatly improves the computational efficiency by almost ten orders of magnitude compared with the reactive MD simulation. This study shows the great potential of ML technology to efficiently unveil the underpinning mechanisms in plasma medicine based on the data from reactive MD simulations or experimental measurements.","PeriodicalId":20135,"journal":{"name":"Plasma Processes and Polymers","volume":"26 1","pages":""},"PeriodicalIF":3.5,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140585897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xuming Zhang, Yun Shan, Zhi Sun, Hua Pan, Liancheng Zhang, Zuchao Zhu, Fada Feng, Jingyi Han, Kai Li
Plasma‐induced CO2 hydrogenation process has received much attention, while the related plasma chemistry has not been profoundly explored. Herein, electron‐induced and thermochemical effects on CO2 hydrogenation in a dielectric barrier discharge reactor were investigated. The temperatures for the discharge pattern transition for CO2/H2, CO2/H2/N2, CO2/H2/Ar, and CO2/H2/He mixtures were 623, 623, 600, and 600 K, respectively. CO2 conversion was controlled by electron‐induced reactions and was sensitive to discharge pattern and electron density but not electron energy. In contrast, product formation was governed by the thermo‐induced chemistry. These results are useful for a better understanding of plasma‐induced CO2 hydrogenation.
{"title":"Mechanism of plasma chemistry in CO2 hydrogenation using a dielectric barrier discharge reactor","authors":"Xuming Zhang, Yun Shan, Zhi Sun, Hua Pan, Liancheng Zhang, Zuchao Zhu, Fada Feng, Jingyi Han, Kai Li","doi":"10.1002/ppap.202300215","DOIUrl":"https://doi.org/10.1002/ppap.202300215","url":null,"abstract":"Plasma‐induced CO<jats:sub>2</jats:sub> hydrogenation process has received much attention, while the related plasma chemistry has not been profoundly explored. Herein, electron‐induced and thermochemical effects on CO<jats:sub>2</jats:sub> hydrogenation in a dielectric barrier discharge reactor were investigated. The temperatures for the discharge pattern transition for CO<jats:sub>2</jats:sub>/H<jats:sub>2</jats:sub>, CO<jats:sub>2</jats:sub>/H<jats:sub>2</jats:sub>/N<jats:sub>2</jats:sub>, CO<jats:sub>2</jats:sub>/H<jats:sub>2</jats:sub>/Ar, and CO<jats:sub>2</jats:sub>/H<jats:sub>2</jats:sub>/He mixtures were 623, 623, 600, and 600 K, respectively. CO<jats:sub>2</jats:sub> conversion was controlled by electron‐induced reactions and was sensitive to discharge pattern and electron density but not electron energy. In contrast, product formation was governed by the thermo‐induced chemistry. These results are useful for a better understanding of plasma‐induced CO<jats:sub>2</jats:sub> hydrogenation.","PeriodicalId":20135,"journal":{"name":"Plasma Processes and Polymers","volume":"44 1","pages":""},"PeriodicalIF":3.5,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140585506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Plasma catalytic CO2 hydrogenation to methanol over MnOx/ZrO2 catalyst was investigated in this work. A boosted methanol yield of 4.6 mg/h was obtained over MnOx/ZrO2 catalyst, while it was only 0.0 and 0.7 mg/h for ZrO2 and MnOx catalyst, respectively. The interaction between MnOx and ZrO2 was responsible for the enhanced methanol yield. It resulted in sufficient oxygen vacancy. The in situ DRIFT spectra was conducted to reveal the plasma catalytic CO2 hydrogenation to methanol reaction mechanism and the key intermediates of HCOO and CH3O species were determined. The sufficient oxygen vacancy promoted the formation of the key intermediates, especially the CH3O species.
{"title":"Plasma catalytic CO2 hydrogenation to methanol: The interaction between MnOx and ZrO2","authors":"Xuming Zhang, Yun Shan, Zhi Sun, Hua Pan, Yuzhen Jin, Zuchao Zhu, Liancheng Zhang, Wenhao Lin, Zhengbo Dai, Zhengang Lou, Huaming Li, Kai Li","doi":"10.1002/ppap.202400037","DOIUrl":"https://doi.org/10.1002/ppap.202400037","url":null,"abstract":"Plasma catalytic CO<jats:sub>2</jats:sub> hydrogenation to methanol over MnO<jats:sub>x</jats:sub>/ZrO<jats:sub>2</jats:sub> catalyst was investigated in this work. A boosted methanol yield of 4.6 mg/h was obtained over MnO<jats:sub>x</jats:sub>/ZrO<jats:sub>2</jats:sub> catalyst, while it was only 0.0 and 0.7 mg/h for ZrO<jats:sub>2</jats:sub> and MnO<jats:sub>x</jats:sub> catalyst, respectively. The interaction between MnO<jats:sub>x</jats:sub> and ZrO<jats:sub>2</jats:sub> was responsible for the enhanced methanol yield. It resulted in sufficient oxygen vacancy. The in situ DRIFT spectra was conducted to reveal the plasma catalytic CO<jats:sub>2</jats:sub> hydrogenation to methanol reaction mechanism and the key intermediates of HCOO and CH<jats:sub>3</jats:sub>O species were determined. The sufficient oxygen vacancy promoted the formation of the key intermediates, especially the CH<jats:sub>3</jats:sub>O species.","PeriodicalId":20135,"journal":{"name":"Plasma Processes and Polymers","volume":"43 1","pages":""},"PeriodicalIF":3.5,"publicationDate":"2024-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140585618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper establishes a fully self‐consistent coupled model of fluid and external circuits. The Kirchhoff equation, the charge conservation equation, and Poisson equation are coupled via boundary conditions and integrated into the fluid model for iterative parameter solution. On the basis of this model, we investigate the influence of impedance matching on single‐frequency capacitively coupled plasma characteristics under different parameters and topological structures. The findings suggest that after several iterations the matching parameters converge. Using different initial circuit parameters, the adjustable capacitance and inductance are eventually adjusted to approximately equal values, resulting in the same optimal matching state, whereas diverse discharge parameters led to different outcomes. Under fixed parameters for two topologies, the power absorption efficiency increases, and the reflection coefficient approaches zero, and the best matching is found. This model can be extended to different fluid programs to investigate the impact of complex external circuits with impedance matching network on plasma discharge while simultaneously seeking best impedance matching.
{"title":"Impedance matching design of capacitively coupled plasma with fluid and external circuit coupled model","authors":"Lifen Zhao, Shimin Yu, Yu Wang, Zili Chen, Xiangmei Liu, Hongyu Wang, Wei Jiang, Ya Zhang","doi":"10.1002/ppap.202400017","DOIUrl":"https://doi.org/10.1002/ppap.202400017","url":null,"abstract":"This paper establishes a fully self‐consistent coupled model of fluid and external circuits. The Kirchhoff equation, the charge conservation equation, and Poisson equation are coupled via boundary conditions and integrated into the fluid model for iterative parameter solution. On the basis of this model, we investigate the influence of impedance matching on single‐frequency capacitively coupled plasma characteristics under different parameters and topological structures. The findings suggest that after several iterations the matching parameters converge. Using different initial circuit parameters, the adjustable capacitance and inductance are eventually adjusted to approximately equal values, resulting in the same optimal matching state, whereas diverse discharge parameters led to different outcomes. Under fixed parameters for two topologies, the power absorption efficiency increases, and the reflection coefficient approaches zero, and the best matching is found. This model can be extended to different fluid programs to investigate the impact of complex external circuits with impedance matching network on plasma discharge while simultaneously seeking best impedance matching.","PeriodicalId":20135,"journal":{"name":"Plasma Processes and Polymers","volume":"25 1","pages":""},"PeriodicalIF":3.5,"publicationDate":"2024-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140585732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Large language models (LLM) such as ChatGPT and others may change the way we do research. These systems serve as a tool for literature searches, data analysis and performing programming tasks. But what are the potentials of LLMs and their shortcomings, especially regarding the very interdisciplinary plasma research?
{"title":"Large language models for plasma research : Curse or blessing?","authors":"Achim von Keudell","doi":"10.1002/ppap.202400066","DOIUrl":"https://doi.org/10.1002/ppap.202400066","url":null,"abstract":"Large language models (LLM) such as ChatGPT and others may change the way we do research. These systems serve as a tool for literature searches, data analysis and performing programming tasks. But what are the potentials of LLMs and their shortcomings, especially regarding the very interdisciplinary plasma research?","PeriodicalId":20135,"journal":{"name":"Plasma Processes and Polymers","volume":"16 1","pages":""},"PeriodicalIF":3.5,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140585616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A solution combustion synthesis (SCS) process to prepare nickel catalyst over bentonite (NiO/Ben) is reported. Compared to the traditional impregnation method, NiO/ben produced by SCS has smaller nickel particle size and higher dispersion. With a metal loading of 20 wt%, the afforded NiO/Ben demonstrates excellent catalytic activity for CO2 methanation in a dielectric barrier discharge reactor. In certain discharge conditions (H2:CO2 ratio of 5 in feed gas, discharge input power of 45 W, and gas hourly space velocity of 11 320 h−1), CO2 conversion and CH4 selectivity are as high as 55.8% and 84.6%, respectively. Under the conditions of plasma configuration, the strong interaction between the nickel species and the support plays an important role in the CO2 methanation process.
{"title":"Plasma‐catalytic CO2 methanation over NiO/bentonite catalysts prepared by solution combustion synthesis","authors":"Shouxian Tang, Shiji Qin, Zhengduo Wang, Lijun Sang, Jiushan Cheng, Zhongwei Liu","doi":"10.1002/ppap.202400001","DOIUrl":"https://doi.org/10.1002/ppap.202400001","url":null,"abstract":"A solution combustion synthesis (SCS) process to prepare nickel catalyst over bentonite (NiO/Ben) is reported. Compared to the traditional impregnation method, NiO/ben produced by SCS has smaller nickel particle size and higher dispersion. With a metal loading of 20 wt%, the afforded NiO/Ben demonstrates excellent catalytic activity for CO<jats:sub>2</jats:sub> methanation in a dielectric barrier discharge reactor. In certain discharge conditions (H<jats:sub>2</jats:sub>:CO<jats:sub>2</jats:sub> ratio of 5 in feed gas, discharge input power of 45 W, and gas hourly space velocity of 11 320 h<jats:sup>−</jats:sup><jats:sup>1</jats:sup>), CO<jats:sub>2</jats:sub> conversion and CH<jats:sub>4</jats:sub> selectivity are as high as 55.8% and 84.6%, respectively. Under the conditions of plasma configuration, the strong interaction between the nickel species and the support plays an important role in the CO<jats:sub>2</jats:sub> methanation process.","PeriodicalId":20135,"journal":{"name":"Plasma Processes and Polymers","volume":"12 1","pages":""},"PeriodicalIF":3.5,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140585614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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