Radiation Physics and Chemistry最新文献_第9页

Size-controlled Gd2O3 nanospheres reinforced B4C/HDPE nanocomposites for neutron and gamma-ray complex radiation shielding 控制尺寸的Gd2O3纳米球增强B4C/HDPE纳米复合材料用于中子和伽马射线复合辐射屏蔽

IF 2.8 3区物理与天体物理

Radiation Physics and Chemistry Pub Date : 2026-06-01 Epub Date: 2026-01-28 DOI: 10.1016/j.radphyschem.2026.113679

Zhipeng Huo , Yidong Lu , Jie Zhang , Guoqiang Zhong

{"title":"Size-controlled Gd2O3 nanospheres reinforced B4C/HDPE nanocomposites for neutron and gamma-ray complex radiation shielding","authors":"Zhipeng Huo , Yidong Lu , Jie Zhang , Guoqiang Zhong","doi":"10.1016/j.radphyschem.2026.113679","DOIUrl":"10.1016/j.radphyschem.2026.113679","url":null,"abstract":"<div><div>Gd<sub>2</sub>O<sub>3</sub> nanospheres with three controlled sizes were synthesized via a homogeneous precipitation method. Both synthesized and commercial Gd<sub>2</sub>O<sub>3</sub> fillers were employed as bifunctional neutron and gamma radiation absorbing agents to fabricate radiation shielding materials. FESEM confirmed the nanospherical morphology of synthesized Gd<sub>2</sub>O<sub>3</sub> fillers. HRTEM and SEAD indicate that all Gd<sub>2</sub>O<sub>3</sub> fillers are polycrystalline. HRTEM confirmed that the synthesized Gd<sub>2</sub>O<sub>3</sub> fillers have (321), (400), and (521) exposed crystal planes, while the commercial Gd<sub>2</sub>O<sub>3</sub> fillers have (222) exposed crystal planes, aligning with the corresponding XRD patterns. FESEM of fracture surfaces revealed a more uniform distribution of synthesized Gd<sub>2</sub>O<sub>3</sub> nanosphere fillers within the HDPE matrix compared to the irregularly shaped commercial Gd<sub>2</sub>O<sub>3</sub> fillers. The high specific surface area and superior dispersibility of synthesized Gd<sub>2</sub>O<sub>3</sub> fillers enhanced the overall performance of the nanocomposite. Notably, nanocomposites containing synthesized Gd<sub>2</sub>O<sub>3</sub>-Ⅱ nanospheres with an average size of 82.6 ± 14.2 nm achieved a neutron and gamma shielding rates of 99.3 % and 73.7 %, the <em>Σ</em>, <em>μ</em>, <em>μ</em><sub>m</sub>, HVL are 0.239 cm<sup>−1</sup>, 0.092 cm<sup>−1</sup>, 0.076 cm<sup>2</sup>/g, 7.57 cm, correspondingly, at a thickness of 15 cm, demonstrating its potential for high-performance radiation shielding applications. This study provides a novel strategy for designing lightweight, high-performance radiation shielding materials for nuclear facilities, aerospace applications, radioactive waste conditioning and relative fields.</div></div>","PeriodicalId":20861,"journal":{"name":"Radiation Physics and Chemistry","volume":"243 ","pages":"Article 113679"},"PeriodicalIF":2.8,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146072397","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}

引用次数: 0

Radionuclide adsorption and natural radioactivity in microplastics: An emerging toxicological hazard 微塑料中的放射性核素吸附和天然放射性：一种新出现的毒理学危害

IF 2.8 3区物理与天体物理

Radiation Physics and Chemistry Pub Date : 2026-06-01 Epub Date: 2026-01-31 DOI: 10.1016/j.radphyschem.2026.113677

Akbar Abbasi , Mayeen Uddin Khandaker , Fatemeh Mirekhtiary

{"title":"Radionuclide adsorption and natural radioactivity in microplastics: An emerging toxicological hazard","authors":"Akbar Abbasi , Mayeen Uddin Khandaker , Fatemeh Mirekhtiary","doi":"10.1016/j.radphyschem.2026.113677","DOIUrl":"10.1016/j.radphyschem.2026.113677","url":null,"abstract":"<div><div>To unveil the natural radioactivity levels in various types of petrochemical-derived microplastics (MPs), a study was conducted using a gamma spectrometry system to measure <sup>226</sup>Ra, <sup>232</sup>Th, and <sup>40</sup>K in microplastics. The maximum value of all measured radionuclides was observed in polyethylene terephthalate (PET) microplastic samples. The measured activity concentrations ranged from values below the minimum detectable limit (MDA = 2 Bq·kg<sup>−1</sup>) up to 5.14 ± 0.11 Bq·kg<sup>−1</sup> for <sup>226</sup>Ra, from below the MDA (2.5 Bq·kg<sup>−1</sup>) up to 3.17 ± 0.04 Bq·kg<sup>−1</sup> for <sup>232</sup>Th, and from 15.18 ± 0.08 Bq·kg<sup>−1</sup> to 47.14 ± 1.85 Bq·kg<sup>−1</sup> for <sup>40</sup>K. The interactions between Uranium-232 (<sup>232</sup>U) and Cesium-137 (<sup>137</sup>Cs) with commonly used microplastics in the food industry have been explored in aqueous environments that mimic seawater and freshwater. Various physicochemical conditions, including temperature (T) and pH, were analyzed to determine the adsorption coefficient (K<sub>d</sub>). The experiments were performed at different pH levels (6, 8.5), and the adsorption efficiency was evaluated primarily as a function of temperature (20, 28, 35 °C). The highest K<sub>d</sub> for both uranium (0.284 ± 0.014 Bq kg<sup>−1</sup>) and Cesium (0.107 ± 0.009 Bq kg<sup>−1</sup>) was observed in freshwater at T = 20 °C, pH = 6, and T = 20 °C, pH = 8.5, respectively. This research demonstrated that the <sup>232</sup>U adsorption coefficient by PET was higher than that of <sup>137</sup>Cs in freshwater and seawater environments.</div></div>","PeriodicalId":20861,"journal":{"name":"Radiation Physics and Chemistry","volume":"243 ","pages":"Article 113677"},"PeriodicalIF":2.8,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146095726","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}

引用次数: 0

Artificial neural network (ANN) vs multilinear regression (MLR) models to predict naturally occurring radioactivity (NORM) in the gold mining area in eastern Sudan 人工神经网络（ANN）与多元线性回归（MLR）模型预测苏丹东部金矿区自然放射性（NORM）

IF 2.8 3区物理与天体物理

Radiation Physics and Chemistry Pub Date : 2026-06-01 Epub Date: 2026-01-22 DOI: 10.1016/j.radphyschem.2026.113656

Tahir E. Adreani , Ibrahim I. Suliman , Hajo Idriss , A. Sulieman , M. Alkhorayef , D. Bradley

{"title":"Artificial neural network (ANN) vs multilinear regression (MLR) models to predict naturally occurring radioactivity (NORM) in the gold mining area in eastern Sudan","authors":"Tahir E. Adreani , Ibrahim I. Suliman , Hajo Idriss , A. Sulieman , M. Alkhorayef , D. Bradley","doi":"10.1016/j.radphyschem.2026.113656","DOIUrl":"10.1016/j.radphyschem.2026.113656","url":null,"abstract":"<div><div>Artificial neural network (ANN) and multilinear regression (MLR) models are widely recognized for their effectiveness in predicting the dynamics of industrial and natural phenomena. In this study, both multiple regression and ANN were employed to forecast radioactivity levels in regions affected by gold mining in Eastern Sudan. We developed multi-regression and ANN models using Python scripts in a Linux environment. The results were tested and validated against background radiation measurements in an area with naturally occurring radioactive materials (NORM) in Eastern Sudan. These findings were compared with the activity concentrations of the soil samples measured using high-purity germanium (HPGe) gamma spectrometry. The study revealed that The ANN model demonstrated superior predictive capabilities for <sup>226</sup>Ra and <sup>232</sup>Th activity concentrations compared to MLR, owing to ANN's ability to model nonlinear relationships in environmental radioactivity data. Although the multilinear regression performed better at <sup>40</sup>K because of its linear soil dependency, the ANN achieved higher correlation coefficients overall. These results confirm that ANN-based methodologies can effectively predict radionuclide distributions and improve environmental radiation assessment.</div></div>","PeriodicalId":20861,"journal":{"name":"Radiation Physics and Chemistry","volume":"243 ","pages":"Article 113656"},"PeriodicalIF":2.8,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146033171","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}

引用次数: 0

Artificial neural network optimization of radiation-induced graft polymerization for heavy metal adsorbents 重金属吸附剂辐射接枝聚合的人工神经网络优化

IF 2.8 3区物理与天体物理

Radiation Physics and Chemistry Pub Date : 2026-06-01 Epub Date: 2026-02-10 DOI: 10.1016/j.radphyschem.2026.113712

John Paolo L. Lazarte, Jordan F. Madrid, John Andrew A. Luna, Patrick Jay E. Cabalar

{"title":"Artificial neural network optimization of radiation-induced graft polymerization for heavy metal adsorbents","authors":"John Paolo L. Lazarte, Jordan F. Madrid, John Andrew A. Luna, Patrick Jay E. Cabalar","doi":"10.1016/j.radphyschem.2026.113712","DOIUrl":"10.1016/j.radphyschem.2026.113712","url":null,"abstract":"<div><div>Degree of grafting is an important performance indicator when developing heavy metal adsorbents through radiation-induced graft polymerization (RIGP). In this study, artificial neural network (ANN) models were developed to predict the degree of grafting using monomer concentration, surfactant/monomer ratio, absorbed dose, dose rate, and grafting time. A total of 1820 observations from experiments on electron beam RIGP of glycidyl methacrylate (GMA) onto polypropylene nonwoven fabric (PP NWF) at 40 °C were used, 70% of which were randomly selected for training, 15% for validation, and another 15% for testing. The performance of each model was measured and compared with each other using the R value and mean squared error (MSE). Based on the R and MSE values obtained, using all the five parameters as predictors is still more effective than individually using the parameters. The optimized ANN model based on the five input parameters as predictors has an MSE value of 239.3584, which translates to 66 to 86% reduction in prediction error compared to single-parameter models. Aside from degree of grafting prediction, the ANN model provides significant insight into the relative impacts of each input parameter. The three most impactful parameters based on the optimized ANN are: monomer concentration – 29%, absorbed dose – 23%, and grafting time – 22%. Hence, developing adsorbents based on RIGP should focus on optimizing the combination of all five parameters, with strong consideration on these three parameters. Kinetic and diffusion studies are thus recommended to deepen understanding and arrive at a theoretical model for degree of grafting prediction.</div></div>","PeriodicalId":20861,"journal":{"name":"Radiation Physics and Chemistry","volume":"243 ","pages":"Article 113712"},"PeriodicalIF":2.8,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146152629","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}

引用次数: 0

Machine learning-driven prediction of gamma-ray shielding performance in TeO2−Bi2O3−ZnO−BaF2 glasses 玻璃中伽马射线屏蔽性能的机器学习驱动预测

IF 2.8 3区物理与天体物理

Radiation Physics and Chemistry Pub Date : 2026-06-01 Epub Date: 2026-01-01 DOI: 10.1016/j.radphyschem.2025.113586

YanBang Tang

{"title":"Machine learning-driven prediction of gamma-ray shielding performance in TeO2−Bi2O3−ZnO−BaF2 glasses","authors":"YanBang Tang","doi":"10.1016/j.radphyschem.2025.113586","DOIUrl":"10.1016/j.radphyschem.2025.113586","url":null,"abstract":"<div><div>The development of non-toxic, high-performance radiation shielding materials is critical for applications in nuclear energy and medical physics. This study focuses on the <span><math><mrow><mn>65</mn><mi>T</mi><mi>e</mi><msub><mi>O</mi><mn>2</mn></msub><mo>−</mo><mn>15</mn><mi>B</mi><msub><mi>i</mi><mn>2</mn></msub><msub><mi>O</mi><mn>3</mn></msub><mo>−</mo><mrow><mo>(</mo><mrow><mn>20</mn><mo>−</mo><mi>x</mi></mrow><mo>)</mo></mrow><mi>Z</mi><mi>n</mi><mi>O</mi><mo>−</mo><mi>x</mi><mi>B</mi><mi>a</mi><msub><mi>F</mi><mn>2</mn></msub></mrow></math></span> (where <span><math><mrow><mi>x</mi></mrow></math></span> = 0 to 20) glass system, a promising lead-free candidate. A comprehensive dataset comprising 3066 data points for the mass attenuation coefficient (μ/ρ) across a wide energy spectrum (0.001 MeV–100,000 MeV) was systematically generated using the established XCOM photon cross-section database. To develop a predictive model for this complex, non-linear relationship, we constructed and evaluated a comprehensive suite of over 40 distinct machine learning (ML) regression algorithms. Subsequently, an advanced Automated Machine Learning (AutoML) framework, AutoGluon, was employed to perform automated model selection, hyperparameter optimization, and ensembling. The results demonstrate that tree-based ensemble models exhibit superior predictive capabilities. The final optimized AutoML model achieved better performance on an unseen test set, with a coefficient of determination (R<sup>2</sup>) of 0.9999, a root mean square error (RMSE) of 27.8791 cm<sup>2</sup>/g, and a mean absolute error (MAE) of 9.7983 cm<sup>2</sup>/g. This high-fidelity model serves as a digital twin for the glass system, enabling rapid, cost-effective prediction of shielding properties and accelerating the design and discovery of novel radiation shielding materials.</div></div>","PeriodicalId":20861,"journal":{"name":"Radiation Physics and Chemistry","volume":"243 ","pages":"Article 113586"},"PeriodicalIF":2.8,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145894098","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}

引用次数: 0

Enhancing jawless VMAT plan quality for hypofractionated left breast cancer with the avoidance structure tool 利用回避结构工具提高左乳腺癌低分形无颌VMAT计划质量

IF 2.8 3区物理与天体物理

Radiation Physics and Chemistry Pub Date : 2026-06-01 Epub Date: 2025-12-19 DOI: 10.1016/j.radphyschem.2025.113464

J.H.M. Castelo , D.C.T. Menezes , G.R. Bittencourt , L.A.R. da Rosa , D.A.B. Bonifacio

{"title":"Enhancing jawless VMAT plan quality for hypofractionated left breast cancer with the avoidance structure tool","authors":"J.H.M. Castelo , D.C.T. Menezes , G.R. Bittencourt , L.A.R. da Rosa , D.A.B. Bonifacio","doi":"10.1016/j.radphyschem.2025.113464","DOIUrl":"10.1016/j.radphyschem.2025.113464","url":null,"abstract":"<div><h3>Introduction</h3><div>The Avoidance Structure (AvS) tool shields a structure by maintaining the multileaf collimator leaves over the structure's projection in the beam's eye view. In this work, we tested the dosimetric impact of using part of the outlines of the heart and lungs as avoidance structure when creating knowledge-based left breast volumetric modulated arc therapy treatment plans.</div></div><div><h3>Methods</h3><div>Dose-volume histogram estimates were calculated using a RapidPlan model for 30 patients who received whole breast radiation therapy in five fractions. Then, two sets of plans were generated for a Halcyon v2 linear accelerator by alternating the use of the AvS tool. Dose metrics for both procedures were compared.</div></div><div><h3>Results</h3><div>Coverage on the target volume remained similar regardless of the use of AvS. The mean absorbed dose received by the heart, as well as the relative volumes receiving 1.5, 3.5 and 7.8 Gy, decreased with effect sizes (ESZ) 0.98, 1.43, and 0.63 respectively. Homolateral lung volumes receiving 1.5 and 3.5 Gy were also lowered using AvS. However, the dose received by 0.03 cc of the contralateral breast increased with an ESZ of 0.52.</div></div><div><h3>Conclusions</h3><div>Except for the contralateral breast, the AvS tool improved DVH metrics for organs at risk without compromising target coverage or worsening hotspots.</div></div>","PeriodicalId":20861,"journal":{"name":"Radiation Physics and Chemistry","volume":"243 ","pages":"Article 113464"},"PeriodicalIF":2.8,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145784685","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}

引用次数: 0

The combined effect of nitric acid and hydrocarbon diluent on the radiolytic transformations of tributyl phosphate 硝酸和碳氢稀释剂对磷酸三丁酯辐射分解转化的联合影响

IF 2.8 3区物理与天体物理

Radiation Physics and Chemistry Pub Date : 2026-06-01 Epub Date: 2026-02-05 DOI: 10.1016/j.radphyschem.2026.113660

A.V. Ponomarev, M.M. Belova

引用次数: 0

Dynamics of neutron-induced water radiolysis in high-temperature, high-pressure water relevant to PWR primary coolant 与压水堆主冷剂有关的高温高压水中中子诱导水辐射分解动力学

IF 2.8 3区物理与天体物理

Radiation Physics and Chemistry Pub Date : 2026-06-01 Epub Date: 2026-01-22 DOI: 10.1016/j.radphyschem.2026.113661

Hui-Chao Li , Dan-Dan Su , Xiao-Bin Li , Jun-Liang Guo , Feng-Chen Li , Shu-Qi Meng

{"title":"Dynamics of neutron-induced water radiolysis in high-temperature, high-pressure water relevant to PWR primary coolant","authors":"Hui-Chao Li , Dan-Dan Su , Xiao-Bin Li , Jun-Liang Guo , Feng-Chen Li , Shu-Qi Meng","doi":"10.1016/j.radphyschem.2026.113661","DOIUrl":"10.1016/j.radphyschem.2026.113661","url":null,"abstract":"<div><div>In pressurized water reactors (PWRs), neutron-induced water radiolysis is a key factor in accelerating the oxidation of zirconium alloy cladding. In this study, the neutron-induced water radiolysis process from 1 keV to 5 MeV at 573 K and 15.5 MPa was simulated using the reactive force field molecular dynamics (ReaxFF-MD) method. The results show that the <em>G</em>-values of molecular products (H<sub>2</sub>, H<sub>2</sub>O<sub>2</sub>) decrease with increasing neutron energy, while the <em>G</em>-value of free radicals (•OH, H•) increase, demonstrating the linear energy transfer (LET) effect. The analysis of the microscopic mechanism reveals that low-energy primary knock-on atoms (PKAs) forms a dense track, and the <em>G</em>-value evolution follows a delayed-onset rapid growth pattern. Medium energy PKAs trigger a compression-rebound effect, and forms a transition track. High-energy PKAs penetrate in an inefficient energy-transfer mode with dispersed energy, and the <em>G</em>-value rapidly reaches the peak and then decreases. This study elucidates the intrinsic mechanism of the LET effect from the atomic scale, and provides a theoretical basis for the study of zirconium alloy oxidation and the construction of material damage model.</div></div>","PeriodicalId":20861,"journal":{"name":"Radiation Physics and Chemistry","volume":"243 ","pages":"Article 113661"},"PeriodicalIF":2.8,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146033170","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}

引用次数: 0

Gamma irradiation-induced enhancement of agar-based bioplastics incorporating poly(lactic acid) and poly(butylene adipate-co-terephthalate) γ射线辐照增强聚乳酸和聚己二酸丁二醇-对苯二甲酸酯的琼脂基生物塑料

IF 2.8 3区物理与天体物理

Radiation Physics and Chemistry Pub Date : 2026-06-01 Epub Date: 2026-01-30 DOI: 10.1016/j.radphyschem.2026.113673

Angelica Isabella Christian , Farah Nurlidar , Dien Puji Rahayu , Ade Lestari Yunus , Tita Puspitasari , Yudi Nugraha Thaha , Lutviasari Nuraini , Rossy Choreun Nissa , Yeyen Nurhamiyah

{"title":"Gamma irradiation-induced enhancement of agar-based bioplastics incorporating poly(lactic acid) and poly(butylene adipate-co-terephthalate)","authors":"Angelica Isabella Christian , Farah Nurlidar , Dien Puji Rahayu , Ade Lestari Yunus , Tita Puspitasari , Yudi Nugraha Thaha , Lutviasari Nuraini , Rossy Choreun Nissa , Yeyen Nurhamiyah","doi":"10.1016/j.radphyschem.2026.113673","DOIUrl":"10.1016/j.radphyschem.2026.113673","url":null,"abstract":"<div><div>This study explores the fabrication of biodegradable bioplastics based on agar, poly(lactic acid) (PLA), and poly(butylene adipate-co-terephthalate) (PBAT), enhanced through cobalt-60 gamma irradiation to improve their mechanical, thermal, and degradation behavior. A range of irradiation doses (0–50 kGy) was applied to evaluate the effects of crosslinking and chain scission on material performance. The tensile strength showed a marked improvement, increasing from 2.72 ± 1.94 MPa (0 kGy) to 6.01 ± 0.92 MPa at 30 kGy, indicating enhanced mechanical integrity due to effective crosslinking. In parallel, water absorption decreased dramatically from 83.03% to 15.22%, reflecting a significant reduction in hydrophilicity. At higher doses, degradation processes became more prominent, as evidenced by increased melt flow rate and biodegradability. These findings demonstrate that controlled gamma irradiation is an effective approach to fine-tune the performance and environmental responsiveness of agar-based bioplastics, making them more suitable for sustainable packaging and related applications.</div></div>","PeriodicalId":20861,"journal":{"name":"Radiation Physics and Chemistry","volume":"243 ","pages":"Article 113673"},"PeriodicalIF":2.8,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146089320","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}

引用次数: 0

Assessment of the impact of the irradiation process on the final properties of radiation-resistant polypropylene materials used for medical devices 辐照过程对医疗器械用抗辐射聚丙烯材料最终性能影响的评估

IF 2.8 3区物理与天体物理

Radiation Physics and Chemistry Pub Date : 2026-06-01 Epub Date: 2026-01-20 DOI: 10.1016/j.radphyschem.2026.113612

Flavie Petros , Hélène Garay , Aurélie Taguet , Belkacem Otazaghine , Rodolphe Sonnier , Nicolas Ludwig , Abbas Nasreddine , Florent Kuntz , Yves Bayon , Sophie Rouif

{"title":"Assessment of the impact of the irradiation process on the final properties of radiation-resistant polypropylene materials used for medical devices","authors":"Flavie Petros , Hélène Garay , Aurélie Taguet , Belkacem Otazaghine , Rodolphe Sonnier , Nicolas Ludwig , Abbas Nasreddine , Florent Kuntz , Yves Bayon , Sophie Rouif","doi":"10.1016/j.radphyschem.2026.113612","DOIUrl":"10.1016/j.radphyschem.2026.113612","url":null,"abstract":"<div><div>The global demand for sterile medical devices is increasing due to technological advancements and growing health care needs. Although Electron beam (EB) and X-ray have existed for a long time, they have been less utilized compared to other sterilization methods such as ethylene oxide and Gamma irradiation. Currently, their application is developing, offering new possibilities in response to a rapidly expanding sterilization market. This study assesses the impact of these irradiation techniques on polypropylene (PP) materials used in medical devices, focusing on their mechanical properties, structural changes, and color stability. PP is known for its sensitivity to irradiation, which makes the evaluation of its properties under different irradiation conditions particularly relevant. Three different PP grades, with varying radiotolerance claims, were exposed to controlled irradiation doses (30, 45, and 85 kGy). Analyses including electron spin resonance (ESR), rheology, tensile testing and colorimetry were carried out. They were also employed in conjunction with principal component analysis (PCA). The results allowed to evaluate irradiation-induced modification. Results indicate that Gamma irradiation induces the most significant degradation due to its low dose rate, leading to increased chain scission and oxidation effects. E-beam irradiation has the least impact, while X-ray effects are generally lower to Gamma irradiation at equivalent doses. The study highlights the importance of selecting appropriate PP formulations to ensure optimal post-irradiation performance, particularly in the context of transitioning from traditional sterilization methods to E-beam or emerging X-ray technology.</div></div>","PeriodicalId":20861,"journal":{"name":"Radiation Physics and Chemistry","volume":"243 ","pages":"Article 113612"},"PeriodicalIF":2.8,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146014448","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}

引用次数: 0