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This study proposes an innovative approach to estimate relative biological effectiveness (RBE) of fast neutrons using the Geant4 toolkit. The Geant4-DNA version cannot track heavy ions below 0.5 MeV/nucleon. In order to explore the impact of this issue, secondary particles are simulated instead of the primary low-energy neutrons. The Evaluated Nuclear Data File library is used to determine the cross sections for the elastic and inelastic interactions of neutrons with water and to find the contribution of each secondary particle spectrum. Two strategies are investigated in order to find the best possible approach and results. The first one takes into account only light particles, protons produced from elastic scattering, and α particles from inelastic scattering. Geantino particles are shot instead of heavy ions; hence all heavy ions are considered in the simulations, though their physical effects on DNA not. The second strategy takes into account all the heavy and light ions, although heavy ions cannot be tracked down to very low energies (E<0.5 MeV/nucleon). Our model is based on the combination of an atomic resolution DNA geometrical model and a Monte Carlo simulation toolkit for tracking particles. The atomic coordinates of the DNA double helix are extracted from the Protein Data Bank. Since secondary particle spectra are used instead of simulating the interaction of neutrons explicitly, this method reduces the computation times dramatically. Double-strand break induction is used as the end point for the estimation of the RBE of fast neutrons. ^{60}Co γ rays are used as the reference radiation quality. Both strategies succeed in reproducing the behavior of the RBE_{max} as a function of the incident neutron energy ranging from 0.1 to 14 MeV, including the position of its peak. A comparison of the behavior of the two strategies shows that for neutrons with energies less than 0.7 MeV, the effect of heavy ions would not be very significant, but above 0.7 MeV, heavy ions have an important role in neutron RBE.
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http://dx.doi.org/10.1103/PhysRevE.99.052404 | DOI Listing |
Int J Biol Macromol
September 2025
College of Materials Engineering, Fujian Agriculture and Forestry University, Fuzhou, 350002, China. Electronic address:
Lignin, a negatively charged, three-dimensional natural biopolymer, serves as an ideal support for metal catalysts due to its abundant functional groups and tunable chemical properties, which enable strong metal coordination and effective immobilization. Herein, we demonstrate a lignin-mediated Co/O co-doped AgS, symbolized as L-AgCoOS, bimetal oxysulfide catalyst via a facile hydrolysis method for the efficient reduction of toxic phenolic compounds (4-nitrophenol, 4-NP), organic dyes (methyl orange (MO), methylene blue (MB), rhodamine B (RhB), and heavy metal ions Cr(VI)) under dark conditions. Lignin, used to immobilize catalysts, also contributes to increasing the number of active catalytic sites and enhancing catalytic activity.
View Article and Find Full Text PDFChemosphere
September 2025
Department of Materials Design and Innovation, University at Buffalo, NY, 14260, USA. Electronic address:
Bioremediation offers a sustainable strategy for mitigating heavy metal contamination in soil, but is often constrained by slow removal kinetics, limited uptake efficiency, and high implementation costs. This study investigates dried mycelium membranes, rich in surface-bound proteins and high surface area, as a promising biosorbent for in situ Pb(II) remediation in urban soils. Untreated mycelium membranes buried in soil achieved Pb(II) removal efficiencies of ∼70 % and ∼40 % at initial lead soil concentrations of 100 mg/kg and 1500 mg/kg, respectively, within eight days.
View Article and Find Full Text PDFACS Synth Biol
September 2025
Engineering Research Center of Western Resource Innovation Medicine Green Manufacturing, Ministry of Education, School of Chemical Engineering, Northwest University, Xi'an 710127, China.
The environmental resistance exhibited by microorganisms is concerned with their ability to withstand and adapt to an array of detrimental environmental conditions, with their survival and reproductive success being threatened. Within the realm of biotechnology, which emphasizes stress resistance, a critical role in bacterial adaptive strategies to environmental fluctuations is assumed to be in the periplasmic space. An innovative methodology to augment bacterial tolerance to stress by employing a mucin-mimetic collagen analogue, designated as S1552 (which is secreted into the periplasmic compartment), is introduced by this investigation.
View Article and Find Full Text PDFJ Mol Model
September 2025
Department of Electronics and Communication Engineering, National Institute of Technology Patna, Patna, Bihar, India.
Context: This study investigates the radiation tolerance of a SiGe source vertical tunnel field effect transistor (VTFET) under heavy ion-induced single event effects (SEEs). Single event effects (SEEs) occur when high-energy particles interact with semiconductor devices, leading to unintended behavior. The effect of high energy ions on the VTFET is examined for various linear energy transfer (LET) values and at multiple ion hit locations.
View Article and Find Full Text PDFNanoscale Adv
August 2025
Institute of Ion Beam Physics and Materials Research, Helmholtz-Zentrum DresdenRossendorf 01328 Dresden Germany
Ion irradiation has routinely been used to create defects or even pattern two-dimensional (2D) materials. For efficient defect engineering, that is, choosing the proper ion fluence to achieve the desired concentration of defects, it is of paramount importance to know the probability of creating defects as a function of ion energy. Atomistic simulations of ion impacts on 2D targets can provide such information, especially for free-standing systems, but in the case of supported 2D materials, the substrate can strongly affect defect production.
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