Nano Trends Pub Date : 2025-10-04 DOI: 10.1016/j.nwnano.2025.100155

Sasmita Samal , Sanam Priya Sahoo , Biswajeet Acharya

{"title":"Nanotechnology-Driven cardiac tissue engineering and 3D bioprinting: Mechanistic insights into myocardial repair and regeneration","authors":"Sasmita Samal , Sanam Priya Sahoo , Biswajeet Acharya","doi":"10.1016/j.nwnano.2025.100155","DOIUrl":"10.1016/j.nwnano.2025.100155","url":null,"abstract":"<div><div>Ischemic heart disease is the leading cause of death worldwide, largely due to the limited regenerative capacity of the myocardium after infarction. Conventional treatments alleviate symptoms but cannot restore functional cardiac tissue. Recent advances in nanotechnology and 3D bioprinting offer transformative strategies for cardiac regeneration. Nanostructured biomaterials, oxygen-generating nanoparticles, and nanoformulated growth factors enhance angiogenesis, paracrine signaling, and cell survival, while bioprinting provides patient-specific constructs with precise cellular and matrix organization. This review highlights how nanoengineered hydrogels, exosome-loaded scaffolds, and conductive composites improve vascularization, alignment, and contractility. We emphasize the novelty of integrating nanotechnology with 3D bioprinting to replicate native myocardial microarchitecture and function, a critical step toward clinically relevant cardiac constructs. Despite encouraging preclinical results, barriers remain, including vascularization, immune compatibility, and mechanical integration. Addressing these challenges will be key to translating biofabricated therapies into practice.</div></div>","PeriodicalId":100942,"journal":{"name":"Nano Trends","volume":"12 ","pages":"Article 100155"},"PeriodicalIF":0.0,"publicationDate":"2025-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145268757","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

Recent advances in two-dimensional MXene membranes for emerging nanofiltration applications: A review

Nano Trends Pub Date : 2025-09-28 DOI: 10.1016/j.nwnano.2025.100154

Fakhri A. Anwar , Widda Rahmah , Grandprix T.M. Kadja

引用次数: 0

Transfer learning-based modeling of synthesis-particle size relationships in metal-organic frameworks 基于迁移学习的金属-有机框架合成-粒度关系建模

Nano Trends Pub Date : 2025-09-25 DOI: 10.1016/j.nwnano.2025.100153

Yuncheng Du

{"title":"Transfer learning-based modeling of synthesis-particle size relationships in metal-organic frameworks","authors":"Yuncheng Du","doi":"10.1016/j.nwnano.2025.100153","DOIUrl":"10.1016/j.nwnano.2025.100153","url":null,"abstract":"<div><div>Metal–organic frameworks (MOFs) are promising materials for applications such as gas storage and drug delivery, where their performance is strongly affected by morphology such as particle size. However, the relationships between synthesis conditions and the resulting particle size are complex and remain poorly understood. This work develops a transfer learning-based modeling framework to quantitatively predict how synthesis parameters affect the particle size of zeolitic imidazolate framework-8 (ZIF-8). Using an extreme gradient boosting algorithm (XGBoost), we first build a baseline predictive model trained on a combined dataset of literature and in-house experimental data. To improve performance, we explore transfer learning that pretrains a model on literature data to fix structural hyperparameters such as the number of trees and then fine-tune decision splits with a weighting scheme to emphasize in-house data. To further address data scarcity, we adopt synthetic data augmentation through local interpolation in synthesis parameter space. New data are generated by interpolating between nearby in-house synthesis conditions, preserving the physical meaning of augmented samples. Our results show that transfer learning and data augmentation significantly improve model accuracy and interpretability. This work demonstrates the potential of transfer learning to bridge heterogeneous data sources and accelerate data-driven materials synthesis optimization.</div></div>","PeriodicalId":100942,"journal":{"name":"Nano Trends","volume":"12 ","pages":"Article 100153"},"PeriodicalIF":0.0,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145222291","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

Investigation of functionalized magnetite nanoparticles with trioctylamine adsorbent for the removal of iridium (IV) from acidic media 三辛胺吸附剂功能化磁铁矿纳米颗粒去除酸性介质中铱的研究

Nano Trends Pub Date : 2025-09-19 DOI: 10.1016/j.nwnano.2025.100148

Saba Basiri , Hossein Sid Kalal , Seyed Mohammad Ghoreshi , Kamal Saberyan , Ali Mahvashian

{"title":"Investigation of functionalized magnetite nanoparticles with trioctylamine adsorbent for the removal of iridium (IV) from acidic media","authors":"Saba Basiri , Hossein Sid Kalal , Seyed Mohammad Ghoreshi , Kamal Saberyan , Ali Mahvashian","doi":"10.1016/j.nwnano.2025.100148","DOIUrl":"10.1016/j.nwnano.2025.100148","url":null,"abstract":"<div><div>This research entailed the manufacture of TOA (Trioctylamine)-functionalized magnetite nanoparticles by the co-precipitation technique. The crystallographic and chemical properties of the new adsorbent were analyzed using X-ray diffraction (XRD) and Fourier-transform infrared spectroscopy (FT-IR). The magnetic nanoparticles were assessed as a new solid-phase adsorbent for removing Iridium (IV) ions from acid solutions. Batch studies were performed to investigate the influence of initial pH, adsorbent concentration, initial Ir (IV) concentration, and shaking duration on the adsorption efficiency of Ir (IV), as well as the desorption of Ir (IV) and interfering ions. The ideal conditions identified were pH: 1.0, adsorbent dosage: 300 mgL<sup>-1</sup>, Ir (IV) concentration: 10 mgL<sup>-1</sup>, and contact time: 20 min. The non-linear isotherm and kinetic analyses demonstrated that the Toth model and the model with pseudo-second-order well characterize the adsorption data. The maximum adsorption capacity was determined to be 23.94 mgg<sup>-1</sup>. Thermodynamic investigations have shown that the adsorption process of Ir (IV) is spontaneous, endothermic, and proceeds via a mixed mechanism in which physisorption predominates with a chemisorption contribution. The determined activation energy was 55.40 kJmol<sup>−1</sup>. The maximum Ir (IV) desorption value of 82.0 percent was attained with 1.0 M ammonium acetate as the desorbing agent. According to the current work, magnetite nanoparticles functionalized with TOA may be employed as a possible Ir (IV) adsorbent.</div></div>","PeriodicalId":100942,"journal":{"name":"Nano Trends","volume":"12 ","pages":"Article 100148"},"PeriodicalIF":0.0,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145159972","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

Nanomaterials for the remediation of microplastics in wastewater 纳米材料用于废水中微塑料的修复

Nano Trends Pub Date : 2025-09-17 DOI: 10.1016/j.nwnano.2025.100152

Anish Kumar Sharma , Heena Choudhary , Priyanka Chauhan , Jaysmita Chaliha

{"title":"Nanomaterials for the remediation of microplastics in wastewater","authors":"Anish Kumar Sharma , Heena Choudhary , Priyanka Chauhan , Jaysmita Chaliha","doi":"10.1016/j.nwnano.2025.100152","DOIUrl":"10.1016/j.nwnano.2025.100152","url":null,"abstract":"<div><div>The extensive and expansive use of plastic has caused the incorporation of microplastics into soil and water. Due to their persistence and nearly indestructible nature, microplastics in wastewater pose an environmental crisis and a potential risk to ecosystems as well as human health. Recent advances in nanotechnology have produced a range of tailored nanomaterials that present powerful new strategies for capturing and breaking down microplastic particles. Distinguished by their high surface area, customizable surface chemistry, and synergistic adsorption and degradation mechanisms, nanomaterials offer favourable solutions for microplastic remediation through adsorption, photocatalysis and membrane filtration. The efficiency of these methods depends on several factors, such as the type of microplastic, water chemistry, and surface interactions. This review explores the application and mechanisms of various classes of nanomaterials, underlining their benefits and drawbacks for microplastic remediation. The integration of nanotechnology into wastewater treatment systems presents a promising approach toward efficient, scalable, and sustainable microplastic removal, promoting cleaner aquatic conditions and improved ecosystem health.</div></div>","PeriodicalId":100942,"journal":{"name":"Nano Trends","volume":"12 ","pages":"Article 100152"},"PeriodicalIF":0.0,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145121064","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

Laccaic acid-doped polypyrrole incorporated nanofibrous mats for potential application in tissue engineering 漆酸掺杂聚吡咯纳米纤维垫在组织工程中的潜在应用

Nano Trends Pub Date : 2025-09-13 DOI: 10.1016/j.nwnano.2025.100151

Debasree Roy , Adrija Ghosh , Debashmita Mandal , Subhajit Ghosh , Arpita Adhikari , Sangeeta Dutta , Subhayan Das , Ipsita Chakraborty , Rajen Haldar , Arghya Adhikary , Sriparna De , Tapas Kumar Ghosh , Dipankar Chattopadhyay

{"title":"Laccaic acid-doped polypyrrole incorporated nanofibrous mats for potential application in tissue engineering","authors":"Debasree Roy , Adrija Ghosh , Debashmita Mandal , Subhajit Ghosh , Arpita Adhikari , Sangeeta Dutta , Subhayan Das , Ipsita Chakraborty , Rajen Haldar , Arghya Adhikary , Sriparna De , Tapas Kumar Ghosh , Dipankar Chattopadhyay","doi":"10.1016/j.nwnano.2025.100151","DOIUrl":"10.1016/j.nwnano.2025.100151","url":null,"abstract":"<div><div>Conductive polymers demonstrate good electrical conductivity, rendering them suitable as bioactive scaffolds for tissue regeneration; their intrinsic conductive properties enable the stimulation of cells or tissues cultured upon them through electrical signals. Nonetheless, the employment of toxic acids for the doping process of conducting polymers may constrain their applicability within the biomedical domain. Laccaic acid extract, obtained from solid shellac, was utilized for the green synthesis of polypyrrole (LAC@PPy). The synthesized nanostructured polymer was subsequently incorporated into electrospun nanofibrous mats composed of polyvinyl alcohol and glycolic acid (S3). The engineered scaffolds underwent thorough physico-chemical characterization, and their biocompatibility was meticulously evaluated. It was observed that the incorporation of LAC@PPy endowed the nanofibers with antimicrobial characteristics. The hemocompatibility analysis indicated that S3 did not induce any significant damage to red blood cells and facilitated a substantial degree of blood clotting. The scaffolds exhibited high biocompatibility towards WI-38 and L929 cell lines, promoting rapid cell proliferation, as corroborated by Phalloidin-DAPI staining and scanning electron microscopy (SEM) micrographs respectively. These results were further substantiated by the α-tubulin positive cytoskeleton staining assay. In conclusion, the S3 matrix serves as an artificial extracellular matrix, providing a conducive environment that is beneficial for cell adhesion and growth.</div></div>","PeriodicalId":100942,"journal":{"name":"Nano Trends","volume":"12 ","pages":"Article 100151"},"PeriodicalIF":0.0,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145121062","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 machine learning technique for computational analysis of EMHD ternary nanofluid with heat generation: Al2O3+CuO+TiO2/water Al2O3+CuO+TiO2/water三元产热EMHD纳米流体计算分析的机器学习技术

Nano Trends Pub Date : 2025-09-13 DOI: 10.1016/j.nwnano.2025.100150

Raja Shekar Pemmaraju, Jithender Reddy Gurejala, Siva Nageswara Rao Thottempudi

{"title":"A machine learning technique for computational analysis of EMHD ternary nanofluid with heat generation: Al2O3+CuO+TiO2/water","authors":"Raja Shekar Pemmaraju, Jithender Reddy Gurejala, Siva Nageswara Rao Thottempudi","doi":"10.1016/j.nwnano.2025.100150","DOIUrl":"10.1016/j.nwnano.2025.100150","url":null,"abstract":"<div><div>In order to model ternary nano fluid EMHD flow with internal heat generation, we present a machine learning approach. In this case, traditional numerical methods are often computationally difficult to apply on such complex systems. Ternary nanofluids enhance the efficiency of solar thermal systems by a large margin compared to single or binary nanofluids because of the significant enhancement of heat transport in ternary nanofluids. Similarity transformations are applied to the governing PDEs that are solved with the MATLAB bvp4c solver. Effects of key factors on flow and thermal behaviour are identified by the use of numerical simulations; effects of friction factor and Nusselt number are checked by means of tabular and graphical data.</div><div>The trained machine learning model estimates parameters of temperature, velocity, and heat transport more accurately than the traditional techniques. The model fits numerical simulations efficiently by taking into account magnetic field effects and heat generation. In terms of prediction, justification, and optimisation, Artificial Neural Networks (ANNs) perform better than conventional regression approaches. Exactness and generalisation are guaranteed by using 80 % of the bvp4c-generated data for training and 20 % for testing. Regression analysis (for both temperature and velocity) reveals a low mean squared error (MSE ∼ 10<sup>−5</sup>) and a closely perfect correlation coefficient (<em>R</em> = 1). Strong agreement across all data subsets is shown by regression graphs and error histogram. A potential paradigm for improving thermal system design in industrial, aerospace, and energy applications is presented by this AI-CFD integration.</div></div>","PeriodicalId":100942,"journal":{"name":"Nano Trends","volume":"12 ","pages":"Article 100150"},"PeriodicalIF":0.0,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145121063","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

Synthesis and evaluation of PEG derivatized nanostructures as potential delivery carrier for hydrophobic drugs 聚乙二醇衍生纳米结构作为疏水药物潜在递送载体的合成与评价

Nano Trends Pub Date : 2025-09-11 DOI: 10.1016/j.nwnano.2025.100149

Sunaina Chaurasiya , Vigram Muneeswaran M , Ashok Kumar Jangid , Kanakaraju Medicherla , Deep Pooja , Hitesh Kulhari

{"title":"Synthesis and evaluation of PEG derivatized nanostructures as potential delivery carrier for hydrophobic drugs","authors":"Sunaina Chaurasiya , Vigram Muneeswaran M , Ashok Kumar Jangid , Kanakaraju Medicherla , Deep Pooja , Hitesh Kulhari","doi":"10.1016/j.nwnano.2025.100149","DOIUrl":"10.1016/j.nwnano.2025.100149","url":null,"abstract":"<div><div>Dendrimers are three-dimensional, monodispersed polymers with diverse biological properties. In this study, a novel dendritic nanostructure was synthesized using trimesic acid (TMA) as the core molecule and poly(ethylene glycol) (PEG<sub>2000</sub>) as the branching units. The coupling of PEG<sub>2000</sub> with TMA was achieved through the formation of ester bonds between the carboxylic groups of TMA and the hydroxyl groups of PEG. The successful formation of the dendritic nanostructure was confirmed using FTIR and proton NMR spectroscopy. The encapsulation of the poorly water-soluble anticancer drug paclitaxel (PTX) into the dendritic nanostructure was also validated through FTIR and <sup>1</sup>HNMR analysis. The PTX-loaded TMA-PEG nanostructure was further characterized using DLS, TEM, DSC, and XRD techniques. <em>In vitro</em> drug release studies in different physiological buffers demonstrated the release profile of PTX from the nanostructures. Haemolytic toxicity studies revealed that both blank dendritic structures and PTX-loaded formulations exhibited no toxicity toward human red blood cells, indicating excellent biocompatibility. Furthermore, <em>in vitro</em> cell viability assays against A549 (human lung cancer) and MCF7 (human breast cancer) cell lines showed dose- and time-dependent cytotoxic effects. Importantly, the PTX-loaded TMA-PEG nanostructure demonstrated significantly higher cytotoxicity compared to free PTX. Thus, the developed dendritic nanostructure shows promise as an efficient drug delivery system for hydrophobic anticancer drugs like paclitaxel, offering improved efficacy and biocompatibility.</div></div>","PeriodicalId":100942,"journal":{"name":"Nano Trends","volume":"12 ","pages":"Article 100149"},"PeriodicalIF":0.0,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145108743","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

Synthesis of fluorescent carbon nanoparticles using sustainable waste glycerol and its application as efficient sensor for picric acid detection 利用可持续废甘油合成荧光碳纳米颗粒及其在苦味酸检测中的应用

Nano Trends Pub Date : 2025-09-01 DOI: 10.1016/j.nwnano.2025.100146

Debreeshi Poddar , Bilipang Mahilary , Khemnath Patir , Sanjay Basumatary

引用次数: 0

Stimuli-responsive nanomaterials for the precision delivery of mRNA cancer vaccines 用于精确递送mRNA癌症疫苗的刺激反应纳米材料

Nano Trends Pub Date : 2025-09-01 DOI: 10.1016/j.nwnano.2025.100147

Ruby Srivastava

{"title":"Stimuli-responsive nanomaterials for the precision delivery of mRNA cancer vaccines","authors":"Ruby Srivastava","doi":"10.1016/j.nwnano.2025.100147","DOIUrl":"10.1016/j.nwnano.2025.100147","url":null,"abstract":"<div><div>mRNA vaccines have emerged as a transformative platform for cancer immunotherapy, offering rapid design, scalable production, and the capacity to encode multiple tumor antigens. By delivering mRNA directly or via <em>ex vivo</em> transfected dendritic cells (DCs), these vaccines induce potent polyclonal immune responses and bypass HLA restrictions, enabling broad applicability across diverse patient populations. A central challenge remains the efficient and tumor-specific delivery of mRNA. Advanced nanocarriers have improved mRNA stability, cellular uptake, and antigen expression, while stimuli-responsive nanomaterials add precision by enabling controlled release triggered by tumor-specific cues. This approach minimizes systemic toxicity and enhances therapeutic efficacy. Preclinical studies consistently demonstrate strong antitumor responses, and early clinical efforts increasingly focus on cancer-associated antigen (CAA) vaccines and DC-based strategies. Future development must focus on optimizing delivery platforms for safety, efficiency, and large-scale manufacturing, while systematically identifying tumor-specific antigens and neoantigens for personalized vaccines. Combining mRNA vaccines with immune checkpoint inhibitors, cytokine therapies, or adoptive cell therapies may further overcome immunosuppressive tumor microenvironments (TME) and amplify clinical benefit. In parallel, standardized immunomonitoring and long-term evaluation of immune responses are essential for successful translation. Addressing these scientific and manufacturing challenges will accelerate the integration of stimuli-responsive nanomaterials into mRNA vaccine platforms, paving the way for next-generation cancer immunotherapies with greater precision, potency, and accessibility.</div></div>","PeriodicalId":100942,"journal":{"name":"Nano Trends","volume":"11 ","pages":"Article 100147"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145059979","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

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