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Author Živanić, M.; Espona‐Noguera, A.; Lin, A.; Canal, C. url  doi
openurl 
  Title Current State of Cold Atmospheric Plasma and Cancer‐Immunity Cycle: Therapeutic Relevance and Overcoming Clinical Limitations Using Hydrogels Type A1 Journal article
  Year 2023 Publication Advanced Science Abbreviated Journal Adv Sci  
  Volume Issue (up) Pages 2205803  
  Keywords A1 Journal article; Engineering sciences. Technology; Plasma Lab for Applications in Sustainability and Medicine – Antwerp (PLASMANT)  
  Abstract Cold atmospheric plasma (CAP) is a partially ionized gas that gains attention

as a well-tolerated cancer treatment that can enhance anti-tumor immune

responses, which are important for durable therapeutic effects. This review

offers a comprehensive and critical summary on the current understanding of

mechanisms in which CAP can assist anti-tumor immunity: induction of

immunogenic cell death, oxidative post-translational modifications of the

tumor and its microenvironment, epigenetic regulation of aberrant gene

expression, and enhancement of immune cell functions. This should provide

a rationale for the effective and meaningful clinical implementation of CAP. As

discussed here, despite its potential, CAP faces different clinical limitations

associated with the current CAP treatment modalities: direct exposure of

cancerous cells to plasma, and indirect treatment through injection of

plasma-treated liquids in the tumor. To this end, a novel modality is proposed:

plasma-treated hydrogels (PTHs) that can not only help overcome some of the

clinical limitations but also offer a convenient platform for combining CAP

with existing drugs to improve therapeutic responses and contribute to the

clinical translation of CAP. Finally, by integrating expertise in biomaterials and

plasma medicine, practical considerations and prospective for the

development of PTHs are offered.
 
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Wos 000918224200001 Publication Date 2023-01-20  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2198-3844 ISBN Additional Links UA library record; WoS full record; WoS citing articles  
  Impact Factor 15.1 Times cited Open Access OpenAccess  
  Notes European Research Council, 714793 ; Fonds Wetenschappelijk Onderzoek, 12S9221N G044420N ; Ministerio de Economía y Competitividad, PID2019‐103892RB‐I00/AEI/10.13039/501100011033 ; Approved Most recent IF: 15.1; 2023 IF: 9.034  
  Call Number PLASMANT @ plasmant @c:irua:193166 Serial 7238  
Permanent link to this record
 

 
Author Cioni, M.; Delle Piane, M.; Polino, D.; Rapetti, D.; Crippa, M.; Arslan Irmak, E.; Van Aert, S.; Bals, S.; Pavan, G.M. url  doi
openurl 
  Title Sampling real-time atomic dynamics in metal nanoparticles by combining experiments, simulations, and machine learning Type A1 Journal article
  Year 2024 Publication Advanced Science Abbreviated Journal  
  Volume Issue (up) Pages 1-13  
  Keywords A1 Journal article; Engineering sciences. Technology; Electron microscopy for materials research (EMAT)  
  Abstract Even at low temperatures, metal nanoparticles (NPs) possess atomic dynamics that are key for their properties but challenging to elucidate. Recent experimental advances allow obtaining atomic-resolution snapshots of the NPs in realistic regimes, but data acquisition limitations hinder the experimental reconstruction of the atomic dynamics present within them. Molecular simulations have the advantage that these allow directly tracking the motion of atoms over time. However, these typically start from ideal/perfect NP structures and, suffering from sampling limits, provide results that are often dependent on the initial/putative structure and remain purely indicative. Here, by combining state-of-the-art experimental and computational approaches, how it is possible to tackle the limitations of both approaches and resolve the atomistic dynamics present in metal NPs in realistic conditions is demonstrated. Annular dark-field scanning transmission electron microscopy enables the acquisition of ten high-resolution images of an Au NP at intervals of 0.6 s. These are used to reconstruct atomistic 3D models of the real NP used to run ten independent molecular dynamics simulations. Machine learning analyses of the simulation trajectories allow resolving the real-time atomic dynamics present within the NP. This provides a robust combined experimental/computational approach to characterize the structural dynamics of metal NPs in realistic conditions. Experimental and computational techniques are bridged to unveil atomic dynamics in gold nanoparticles (NPs), using annular dark-field scanning transmission electron microscopy and molecular dynamics simulations informed by machine learning. The approach provides unprecedented insights into the real-time structural behaviors of NPs, merging state-of-the-art techniques to accurately characterize their dynamics under realistic conditions. image  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Wos 001206888000001 Publication Date 2024-04-24  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2198-3844 ISBN Additional Links UA library record; WoS full record  
  Impact Factor 15.1 Times cited Open Access  
  Notes This work was supported by the funding received by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement no. 818776- DYNAPOL, no. 770887 PICOMETRICS and no. 815128 REALNANO). The authors also acknowledge the computational resources provided by the Swiss National Supercomputing Center (CSCS), by CINECA, and the Research Foundation Flanders (FWO, Belgium) G.0346.21N. Approved Most recent IF: 15.1; 2024 IF: 9.034  
  Call Number UA @ admin @ c:irua:205442 Serial 9171  
Permanent link to this record
 

 
Author Ying, J.; Lenaerts, S.; Symes, M.D.; Yang, X.-Y. url  doi
openurl 
  Title Hierarchical design in nanoporous metals Type A1 Journal article
  Year 2022 Publication Advanced Science Abbreviated Journal Adv Sci  
  Volume 9 Issue (up) 27 Pages 2106117-2106120  
  Keywords A1 Journal article; Engineering sciences. Technology; Sustainable Energy, Air and Water Technology (DuEL)  
  Abstract Hierarchically porous metals possess intriguing high accessibility of matter molecules and unique continuous metallic frameworks, as well as a high level of exposed active atoms. High rates of diffusion and fast energy transfer have been important and challenging goals of hierarchical design and porosity control with nanostructured metals. This review aims to summarize recent important progress toward the development of hierarchically porous metals, with special emphasis on synthetic strategies, hierarchical design in structure-function and corresponding applications. The current challenges and future prospects in this field are also discussed.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Wos 000831201000001 Publication Date 2022-07-28  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2198-3844 ISBN Additional Links UA library record; WoS full record; WoS citing articles  
  Impact Factor 15.1 Times cited Open Access OpenAccess  
  Notes Approved Most recent IF: 15.1  
  Call Number UA @ admin @ c:irua:189646 Serial 7170  
Permanent link to this record
 

 
Author Lin, A.; Gorbanev, Y.; De Backer, J.; Van Loenhout, J.; Van Boxem, W.; Lemière, F.; Cos, P.; Dewilde, S.; Smits, E.; Bogaerts, A. pdf  url
doi  openurl
  Title Non‐Thermal Plasma as a Unique Delivery System of Short‐Lived Reactive Oxygen and Nitrogen Species for Immunogenic Cell Death in Melanoma Cells Type A1 Journal article
  Year 2019 Publication Advanced Science Abbreviated Journal Adv Sci  
  Volume 6 Issue (up) 6 Pages 1802062  
  Keywords A1 Journal article; Engineering sciences. Technology; Plasma Lab for Applications in Sustainability and Medicine – Antwerp (PLASMANT); Center for Oncological Research (CORE)  
  Abstract  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Wos 000462613100001 Publication Date 2019-01-29  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2198-3844 ISBN Additional Links UA library record; WoS full record; WoS citing articles  
  Impact Factor 9.034 Times cited 39 Open Access OpenAccess  
  Notes This study was funded in part by the Flanders Research Foundation (grant no. 12S9218N) and the European Marie Sklodowska-Curie Individual Fellowship within Horizon2020 (LTPAM) grant no. 743151). The microsecond-pulsed power supply was purchased following discussions with the C. & J. Nyheim Plasma Institute at Drexel University. The authors would like to thank Dr. Erik Fransen for his expertise and guidance with the statistical models and analysis used here. The authors would also like to thank Dr. Sander Bekeschus of the Leibniz Institute for Plasma Science and Technology for the discussions at conferences and workshops. A.L. contributed to the design and carrying out of all experiments. A.L. also wrote the manuscript. Y.G. contributed to the design and carrying out of experiments involving chemical measurements. Y.G. also contributed to writing the chemical portions of the manuscript. J.D.B. contributed to the design and carrying out of in vivo experiments. J.D.B. also contributed to writing the portions of the manuscript involving animal experiments and care. J.V.L. contributed to the optimization of the calreticulin protocol used in the experiments. W.V.B. contributed to optimization of colorimetric assays used in the experiments. F.L. contributed to mass spectrometry measurements. P.C., S.D., E.S., and A.B. provided workspace, equipment, and valuable discussions for the project. All authors participated in the review of the manuscript.; Flanders Research Foundation, 12S9218N ; European Marie Sklodowska-Curie Individual Fellowship within Horizon2020, 743151 ; Approved Most recent IF: 9.034  
  Call Number PLASMANT @ plasmant @UA @ admin @ c:irua:156548 Serial 5165  
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