Biomedical engineering advances最新文献_第2页

Lubrication to reduce tissue shear loading - effects on comfort perception and tissue damage when wearing a facemask 润滑以减少组织剪切负荷-对舒适度的影响和戴口罩时的组织损伤

Biomedical engineering advances Pub Date : 2026-06-01 Epub Date: 2026-01-15 DOI: 10.1016/j.bea.2026.100208

Urvi Sonawane , Jack Hayes , Mary J. Morrell , Marc A. Masen

{"title":"Lubrication to reduce tissue shear loading - effects on comfort perception and tissue damage when wearing a facemask","authors":"Urvi Sonawane , Jack Hayes , Mary J. Morrell , Marc A. Masen","doi":"10.1016/j.bea.2026.100208","DOIUrl":"10.1016/j.bea.2026.100208","url":null,"abstract":"<div><div>Patients with respiratory disease often require breathing support delivered via a nasal or facemask. The use of such a mask causes continued loading of the skin which can result in discomfort or skin injury, which may lead to low adherence to treatment. It is hypothesised that lubricating the mask-skin interface will reduce shear stress, thus reducing the load on the skin. The aim of this study was to determine whether the application of a novel lubricant to the mask improved discomfort and/or skin injury measured using three outcomes: subjective comfort, erythema, and the presence of epidermal interleukins.</div><div>Ten healthy participants were randomised to wear a lubricated or unlubricated facemask for one hour. Each participant switched over after a one-hour washout period. Subjective comfort was measured using visual analogue scales. Erythema was quantified from facial photographs and interleukins were obtained using tape stripping and ELISA assay analysis. Results show that the subjective comfort significantly improved after one hour with the application of a novel lubricant, compared to no lubrication (p=0.015), however erythema and interleukins were not significantly different. As comfort perception may affect adherence, this novel lubricant may be beneficial in the clinical care of those needing to wear facemasks.</div></div>","PeriodicalId":72384,"journal":{"name":"Biomedical engineering advances","volume":"11 ","pages":"Article 100208"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146037922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

OMG-RL: Offline Model-based Guided Reward Learning for heparin treatment OMG-RL：基于离线模型的肝素治疗引导奖励学习

Biomedical engineering advances Pub Date : 2025-11-01 Epub Date: 2025-10-21 DOI: 10.1016/j.bea.2025.100198

Yooseok Lim , Sujee Lee

{"title":"OMG-RL: Offline Model-based Guided Reward Learning for heparin treatment","authors":"Yooseok Lim , Sujee Lee","doi":"10.1016/j.bea.2025.100198","DOIUrl":"10.1016/j.bea.2025.100198","url":null,"abstract":"<div><div>Accurate medication dosing plays a critical role in the therapeutic process. Recent studies have investigated the application of Reinforcement Learning (RL) to optimize administration strategies. In RL, the definition of a reward function is indispensable; however, reliance on a limited set of explicitly defined rewards fails to capture the heterogeneity of clinical characteristics across patients. Moreover, the wide range of medications used in practice makes it impractical to design a dedicated reward function for each drug. To address this challenge, we propose learning a reward network that reflects clinicians’ therapeutic intentions, moving beyond predefined reward functions. In this study, we introduce Offline Model-based Guided Reward Learning (OMG-RL), an offline Inverse Reinforcement Learning (IRL) method. By incorporating a dynamic model into sample-based Maximum Entropy IRL, the method learns a parametrized reward network from offline data, enhancing the agent’s policy. We validate OMG-RL on the clinically significant heparin dosing task. Our results demonstrate that the agent is positively reinforced not only in terms of the recovered reward but also in activated partial thromboplastin time (aPTT), a key laboratory test for monitoring heparin effects. These findings suggest that the OMG-RL effectively captures clinicians’ therapeutic intentions. More broadly, our approach provides a general framework for RL-based medication dosing.</div></div>","PeriodicalId":72384,"journal":{"name":"Biomedical engineering advances","volume":"10 ","pages":"Article 100198"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145416039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Development of Architected Materials for External Breast Prostheses 乳房外部假体结构材料的研究进展

Biomedical engineering advances Pub Date : 2025-11-01 Epub Date: 2025-04-27 DOI: 10.1016/j.bea.2025.100168

Sibo Zhang , Jennifer Xue , Xiao Yu , Yunlan Zhang

{"title":"Development of Architected Materials for External Breast Prostheses","authors":"Sibo Zhang , Jennifer Xue , Xiao Yu , Yunlan Zhang","doi":"10.1016/j.bea.2025.100168","DOIUrl":"10.1016/j.bea.2025.100168","url":null,"abstract":"<div><div>Breast cancer remains the most prevalent cancer among women, with mastectomy often performed as a standard treatment or preventive measure. Post-surgery, breast prostheses are essential for restoring appearance, balance, and confidence. However, conventional silicone external prostheses often fall short in addressing key challenges such as comfort, weight, heat management, and personalization. This study presents a new design framework for External Breast Prostheses (EBPs) utilizing gyroid-based architected materials fabricated through additive manufacturing. By mimicking the density, thermal conductivity, and mechanical properties of natural breast tissue, the proposed design achieves advancements in realism and functionality. Tailored gyroid unit cell geometries enable precise control over weight distribution, thermal regulation, and stiffness, aligning with the properties of natural tissue. Guided by numerical simulations and validated through experimental testing, this approach produces a lightweight, breathable, and realistic prosthesis that can enhance comfort and functionality. This approach highlights the transformative potential of advanced imaging and 3D printing technologies in creating customizable, high-performance solutions to improve the quality of life for breast cancer patients.</div></div>","PeriodicalId":72384,"journal":{"name":"Biomedical engineering advances","volume":"10 ","pages":"Article 100168"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144272191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","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 based radiomics analysis of SPECT images in predicting neuroendocrine tumors 基于机器学习的SPECT图像放射组学分析预测神经内分泌肿瘤

Biomedical engineering advances Pub Date : 2025-11-01 Epub Date: 2025-10-20 DOI: 10.1016/j.bea.2025.100197

Mehdi Ghazizadeh , Mahasti Amoui , Mohammad Reza Deevband , Kamran Aryana , Farivash Karamian , Abolhasan Divband , Zahra Mahboubi-Fooladi , Alireza Montazerabadi , Esmail Jafari , Alireza Zirak , Meysam Tavakoli

{"title":"Machine learning based radiomics analysis of SPECT images in predicting neuroendocrine tumors","authors":"Mehdi Ghazizadeh , Mahasti Amoui , Mohammad Reza Deevband , Kamran Aryana , Farivash Karamian , Abolhasan Divband , Zahra Mahboubi-Fooladi , Alireza Montazerabadi , Esmail Jafari , Alireza Zirak , Meysam Tavakoli","doi":"10.1016/j.bea.2025.100197","DOIUrl":"10.1016/j.bea.2025.100197","url":null,"abstract":"<div><h3>Purpose</h3><div>Over the past few decades, the prevalence of neuroendocrine tumors (NETs) has significantly increased. Current pathological assessment methods often rely on invasive procedures. This study aims to develop machine learning (ML)-based radiomics models using SPECT images to predict grade 1 and 2 NETs and assess the Ki-67 index, particularly in cases with grade discrepancy.</div></div><div><h3>Materials and Methods</h3><div>We developed a retrospective research involving 144 patients with pathologically confirmed NETs collected from five nuclear medicine centers. The dataset included patients with available Ki-67 index values and those exhibiting discrepancies between their Ki-67 index and tumor grade (i.e., low Ki-67 index and intermediate grade). Radiomic features were extracted from SPECT images, and feature selection was performed using the Least Absolute Shrinkage and Selection Operator (LASSO) method. Radiomic signature models were then constructed using a decision tree classifier.</div></div><div><h3>Results</h3><div>The prediction of tumor grade in absence of Ki-67 index resulted in area under the curve (AUC) of 0.83, in the presence of Ki-67 index with discrepancy an AUC of 0.86, and in presence of Ki-67 index without discrepancy an AUC of 0.99.</div></div><div><h3>Conclusion</h3><div>The proposed radiomics model based on SPECT images, and machine learning can effectively predict and assess classification of NET grade. Although Ki-67 has been highly recommended as a strong predictive feature in previous studies, our findings suggest that its predictive value diminishes in cases with grade discrepancies, such as low Ki-67 index paired with intermediate grade.</div></div>","PeriodicalId":72384,"journal":{"name":"Biomedical engineering advances","volume":"10 ","pages":"Article 100197"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145416038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhanced multiclass blood cell classification using contourlet transform and metaheuristic-optimized deep features with clustering-based decision making 使用contourlet变换和基于聚类决策的元启发式优化深度特征增强多类血细胞分类

Biomedical engineering advances Pub Date : 2025-11-01 Epub Date: 2025-11-19 DOI: 10.1016/j.bea.2025.100202

Omid Eslamifar , Mohammadreza Soltani , Seyed Mohammad Jalal Rastegr Fatemi

{"title":"Enhanced multiclass blood cell classification using contourlet transform and metaheuristic-optimized deep features with clustering-based decision making","authors":"Omid Eslamifar , Mohammadreza Soltani , Seyed Mohammad Jalal Rastegr Fatemi","doi":"10.1016/j.bea.2025.100202","DOIUrl":"10.1016/j.bea.2025.100202","url":null,"abstract":"<div><div>Accurate classification of white blood cells (WBCs) is critical for the diagnosis of hematological disorders. This paper presents a novel hybrid framework that integrates multi-scale feature extraction, deep learning, metaheuristic optimization, and clustering-based decision making for robust multiclass WBC classification. The proposed method first employs the contourlet transform to decompose microscopic blood smear images, effectively capturing intricate contour and directional edge information in the frequency domain. These features are then sequentially processed by a recurrent neural network (RNN) to model hierarchical dependencies. To enhance discriminative power and reduce computational complexity, the African Vulture Optimization Algorithm (AVOA) is leveraged for optimal feature selection. Finally, a fuzzy clustering-based decision strategy is introduced to refine the classification of five WBC subtypes: lymphocytes, monocytes, eosinophils, basophils, and neutrophils. The framework emphasizes not only high accuracy but also operational efficiency, addressing key requirements for clinical deployment. Experimental evaluation on the Jiangxi Tecom dataset demonstrates superior performance over baseline models, with significant improvements in precision, recall, and F1-score across most cell types. Despite the inherent class imbalance for basophils, the model maintains viable performance, with augmentation techniques identified for future enhancement. The study's primary contribution lies in the unified integration of Contourlet-based feature extraction with deep sequential learning and metaheuristic-driven feature selection, offering a promising computer-aided diagnostic tool for automated hematological analysis.</div></div>","PeriodicalId":72384,"journal":{"name":"Biomedical engineering advances","volume":"10 ","pages":"Article 100202"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145683692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Transverse impacts on long bones: A systematic study 对长骨的横向影响：一项系统研究

Biomedical engineering advances Pub Date : 2025-11-01 Epub Date: 2025-10-30 DOI: 10.1016/j.bea.2025.100200

Omid Ghafari , Reza Hedayati , Mojtaba Sadighi , Taha Goudarzi

{"title":"Transverse impacts on long bones: A systematic study","authors":"Omid Ghafari , Reza Hedayati , Mojtaba Sadighi , Taha Goudarzi","doi":"10.1016/j.bea.2025.100200","DOIUrl":"10.1016/j.bea.2025.100200","url":null,"abstract":"<div><h3>Background and Objective</h3><div>Despite advancements in modeling bone impact behavior, gaps remain in integrating soft tissue effects and developing comprehensive material models for low-velocity impacts. This study addresses these gaps by developing and validating a finite element model in LS-DYNA to predict bone response under low-velocity transverse impacts—common in daily injuries, sports accidents, and falls.</div></div><div><h3>Methods</h3><div>The model incorporates key parameters such as soft tissue presence, impact velocity, impactor geometry and size, impact direction and angle, impact location, and boundary conditions, and extends its applicability to human model and shin-to-shin impacts trauma.</div></div><div><h3>Results</h3><div>Results closely matched experimental data, confirming model accuracy. Soft tissue prolonged impact duration (250 %) and reduced peak acceleration (61 %), making posterior impacts less damaging, while lateral impacts posed the highest fracture risk. Velocity influenced injury severity more than mass, with higher speeds increasing acceleration and damage. Smaller-diameter impactors reduced acceleration by 38 %. Moreover, conical impactors caused the most severe fractures, absorbing 90 % of impact energy. Boundary conditions played a crucial role, as impact near the constrained points absorbed 80 % of impact energy, leading to localized fractures, while central impacts absorbed only 30-50 %. Among all impact angles, the 90-degree impact maximized energy absorption (66 %).</div></div><div><h3>Conclusions</h3><div>The results of this research highlight the model’s relevance for protective gear design, injury prevention, and rehabilitation research. These findings advance finite element modeling and improve fracture risk assessment in various impact conditions.</div></div>","PeriodicalId":72384,"journal":{"name":"Biomedical engineering advances","volume":"10 ","pages":"Article 100200"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145464936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Biomedical applications of advanced textiles: From wound healing to wearable health monitoring systems 先进纺织品的生物医学应用：从伤口愈合到可穿戴健康监测系统

Biomedical engineering advances Pub Date : 2025-11-01 Epub Date: 2025-10-31 DOI: 10.1016/j.bea.2025.100199

Md. Riad Hossen , Mohammad Samiul Alam , Sabbir Hasan , Md. Iqbal Hossain

{"title":"Biomedical applications of advanced textiles: From wound healing to wearable health monitoring systems","authors":"Md. Riad Hossen , Mohammad Samiul Alam , Sabbir Hasan , Md. Iqbal Hossain","doi":"10.1016/j.bea.2025.100199","DOIUrl":"10.1016/j.bea.2025.100199","url":null,"abstract":"<div><div>The blending of textile engineering with biomedical science has led to some pretty amazing textiles that are changing the game in healthcare. These innovative materials combine flexibility, breathability, and the ability to adapt structurally, along with biological and electronic features, which opens up new possibilities for things like wound care and health monitoring devices we can wear. Some recent breakthroughs include scaffolds made from silk fibroin, nanofiber dressings made through electrospinning, and multifunctional hydrogel systems that not only help speed up tissue healing but also offer antimicrobial protection. At the same time, there’s been progress with textile-based biosensors and self-powered wearables that continually track vital signs and biochemical indicators, which is a big step forward for personalized medicine and looking after patients remotely. Still, it’s not all smooth sailing; issues like scaling up production, making sure these products last, complying with regulations, and securing data are significant obstacles that need to be tackled before we can fully integrate these biomedical textiles into everyday healthcare practices.</div></div>","PeriodicalId":72384,"journal":{"name":"Biomedical engineering advances","volume":"10 ","pages":"Article 100199"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145464935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A systematic review of automated temporal bone segmentation methods 自动颞骨分割方法的系统综述

Biomedical engineering advances Pub Date : 2025-11-01 Epub Date: 2025-09-20 DOI: 10.1016/j.bea.2025.100195

Weijing Li , Sudanthi Wijewickrema , Jan Margeta , Reda Kamraoui , Raabid Hussain , Jean-Marc Gerard

{"title":"A systematic review of automated temporal bone segmentation methods","authors":"Weijing Li , Sudanthi Wijewickrema , Jan Margeta , Reda Kamraoui , Raabid Hussain , Jean-Marc Gerard","doi":"10.1016/j.bea.2025.100195","DOIUrl":"10.1016/j.bea.2025.100195","url":null,"abstract":"<div><div>The temporal bone is a complex anatomical structure crucial for otologic and neurotologic procedures. Accurate segmentation of the temporal bone from computed tomography (CT) and magnetic resonance imaging (MRI) is essential for surgical planning, pathology assessment, and computational modeling. Manual segmentation is time-consuming and subject to inter-observer variability, necessitating the development of automated methods. This systematic review aims to analyze the current state of automated temporal bone segmentation techniques and their performance. A comprehensive search was conducted across PubMed, IEEE Xplore for articles published from 2004 to 2024. A total of 419 articles were reviewed, from which 34 were selected for this study. Among the identified studies, deep learning, particularly convolutional neural networks (CNNs) and U-Net variants, emerged as the dominant approach, consistently outperforming SSM and atlas-based methods. Deep learning models achieved the highest Dice Similarity Coefficient (DSC) and the lowest Hausdorff Distance (HD). Deep learning-based approaches improved automated temporal bone segmentation, with strong performance in segmenting larger structures such as the labyrinth, with Dice score over 0.86. However, the segmentation of smaller anatomical structures, such as stapes and chorda tympani, remains a challenge.</div></div>","PeriodicalId":72384,"journal":{"name":"Biomedical engineering advances","volume":"10 ","pages":"Article 100195"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145219108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The influence of countermovement depth on joint coordination and ground reaction force waveform in countermovement jump 反动作深度对反动作跳跃关节配合及地面反作用力波形的影响

Biomedical engineering advances Pub Date : 2025-11-01 Epub Date: 2025-08-21 DOI: 10.1016/j.bea.2025.100190

Mona Makita, Shinichi Kawamoto, Momoko Nagai-Tanima, Tomoki Aoyama

{"title":"The influence of countermovement depth on joint coordination and ground reaction force waveform in countermovement jump","authors":"Mona Makita, Shinichi Kawamoto, Momoko Nagai-Tanima, Tomoki Aoyama","doi":"10.1016/j.bea.2025.100190","DOIUrl":"10.1016/j.bea.2025.100190","url":null,"abstract":"<div><div>The ground reaction force (GRF) waveform during countermovement jumps (CMJs) is considered to reflect neuromuscular coordination strategies; yet the biomechanical mechanisms distinguishing unimodal from bimodal patterns remain unclear. This study investigated the influence of countermovement depth and velocity on GRF waveform shape and examined their relationship with joint moments and work. Twenty-six healthy young women (age: 22.1 ± 1.1 years; height: 160.8 ± 4.0 cm; body weight: 53.5 ± 5.6 kg) performed CMJs, and GRF waveforms were categorised as unimodal and bimodal patterns. Jump-related variables, joint moments, and work were analysed. Analysis of covariance (ANCOVA) was conducted using countermovement depth as a covariate, and correlation analyses examined the associations between depth and biomechanical parameters. Compared with the unimodal group, the bimodal group exhibited a significantly greater countermovement depth, with no significant difference in countermovement velocity. Before adjustment, knee joint work and ankle joint moments differed significantly between groups; however, these differences were no longer evident after adjusting for countermovement depth, indicating that it was a confounding factor. Correlation analyses demonstrated that a greater countermovement was associated with increased hip and knee joint work and reduced ankle joint contribution. These findings indicate that GRF waveform shape in CMJ is determined primarily by countermovement depth rather than velocity. The unimodal pattern reflected ankle-dominant simultaneous output, whereas the bimodal pattern reflected proximal joint-dominant sequential output. This study highlights the role of joint-specific coordination strategies and offers insight for developing individualised training and rehabilitation approaches.</div></div>","PeriodicalId":72384,"journal":{"name":"Biomedical engineering advances","volume":"10 ","pages":"Article 100190"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144892233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Remineralization of demineralized teeth enamel with nHAp and nHAp-NaF-PEO nanocomposite nHAp和nHAp- naf - peo纳米复合材料对脱矿牙釉质的再矿化作用

Biomedical engineering advances Pub Date : 2025-11-01 Epub Date: 2025-09-05 DOI: 10.1016/j.bea.2025.100192

Nazifa Zaman Khan , S. Manjura Hoque , Harinarayan Das , Arup Kumar , Rafiqul Islam , Mozammal Hossain

{"title":"Remineralization of demineralized teeth enamel with nHAp and nHAp-NaF-PEO nanocomposite","authors":"Nazifa Zaman Khan , S. Manjura Hoque , Harinarayan Das , Arup Kumar , Rafiqul Islam , Mozammal Hossain","doi":"10.1016/j.bea.2025.100192","DOIUrl":"10.1016/j.bea.2025.100192","url":null,"abstract":"<div><div>Teeth enamel, composed of calcium and phosphorus, becomes demineralized in contact with beverages and food. The essential component of teeth, enamel, can be remineralized with the use of nano-hydroxyapatite (nHAp) alone or in a solution consisting of nHAp, sodium fluoride (NaF), and polyethylene oxide (PEO) nanocomposite. We divided ten sound-extracted teeth into two groups: Group A consisted of three teeth treated with nHAp colloids, while Group B consisted of seven teeth treated with nHAp-NaF-PEO nanocomposite in solution. We demineralized the teeth of both groups by soaking them in various pH-adjusted demineralizing agents for different periods. We analyzed the morphology and composition of the demineralized teeth by the scanning electron microscope (SEM) and energy-dispersive X-ray spectroscopy (EDAX). The teeth specimens were brushed two times/day for about 2 minutes each, with a 12-hours interval between brushing sessions, to remineralize them over four weeks. Periodically, the enamel specimens were placed in distilled water and maintained at 37° C in the CO<sub>2</sub> incubator. We analyzed the morphology and composition of the remineralized teeth by SEM and EDAX. The results show that the surface morphology produced by the nHAp-NaF-PEO nanocomposite solution was quite similar to the baseline enamel morphology. We observed an increase in mineral content, namely the Ca/P ratio, in the nHAp-NaF- PEO nanocomposite solution. The nHAp-NaF-PEO nanocomposite solution aids the remineralization of the decayed teeth more effectively than nHAp singly and heals carious lesions. Both nHAp and nHAp-NaF-PEO heals the morphology of carious teeth.</div></div>","PeriodicalId":72384,"journal":{"name":"Biomedical engineering advances","volume":"10 ","pages":"Article 100192"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145095285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0