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The article introduces a machine learning-based approach to enhance drug delivery to cancerous tissues via the human cardiovascular system. It addresses the need for improved drug transport in the presence of cardiovascular obstacles, such as foamy structures, which are implicated in cardiovascular diseases. By examining the impact of nanoparticles on drug transport and biomarkers like hydrogen peroxide, the study refines drug delivery strategies. The motivation is to understand how nanoparticles not only facilitate drug delivery to cancer cells but also mitigate hydrogen peroxide concentration in the blood. This study explores the interaction between nanoparticle behavior, hydrogen peroxide concentration, and drug delivery using machine learning techniques. The integration of modern-day approaches, mainly the Levenberg–Marquardt neural network (LM-NN), offers a healthy assessment of drug delivery systems. Blood flow is exhibited numerically as pulsatile flow in a parallel plate channel, incorporating the properties of foamy structures modeled as porous media. Nanostructures are treated as drug carriers by a concentration equation that considers diffusion, convection, and reaction dynamics in the blood flow. The investigation reveals that nanostructures serve a dual function by augmenting drug delivery to cancer cells and reducing hydrogen peroxide levels in the blood. Machine learning techniques, particularly the LM-NN, identify vital factors affecting drug delivery efficiency, offering insights into optimizing physiological parameters, drug properties, and patient-specific variables. This research presents a novel approach by integrating machine learning, specifically LM-NN, to optimize nanoparticle-mediated drug delivery. It exclusively combines modeling blood flow as pulsatile within a parallel plate channel with the contemplation of foamy structures as porous media. This dual-focus approach advances up-to-date methodologies by providing an inclusive understanding of the interplay between drug carriers and biomarkers, leading to potential enhancements in cancer treatment strategies.

The limitless possibilities of nanotechnology can be explained by the remarkable antimicrobial activity demonstrated by plant-derived biometallic nanoparticles, with a particular focus on their interactions with metal oxides. Plant-derived biomaterials and metal oxides work harmoniously to provide a new dimension in materials science that might lead to ground-breaking applications in environmental remediation and biomedicine. Using sophisticated analytical methods, including transmission electron microscopy, Fourier-transform infrared spectroscopy, and X-ray diffraction, this work consists of a systematic inquiry into the production and characterization of these biometallic nanoparticles. The results highlight the exact control over particle size, shape, and composition, highlighting how important these factors are in determining the resultant nanoparticles’ ability to fight microbes. One of the main themes involves antioxidant activity, as the biometallic nanoparticles made from plants have the natural capacity to scavenge free radicals, which enhances their antimicrobial effectiveness. The work carefully evaluates the processes behind this dual function, providing insight into the complex interactions between metal oxides and chemicals originating from plants. This study delves into possible uses in biological remediation, where the produced nanoparticles show promise in reducing environmental pollutants. It emphasizes how environmentally benign the suggested biometallic nanoparticles are, imagining a long-term strategy to mitigate microbial dangers and concurrently clean up contaminants in various ecosystems. An in-depth understanding of the complex interactions between biometallic nanoparticles generated from plants and metal oxides, as well as the various roles that these materials play in biological remediation and antimicrobial activity, is obtained. Thus, our review offers a paradigm change in the design and use of materials, opening up opportunities for further developments in nanotechnology.

This study investigated the effects of max-phase Ti₃SiC₂ and other nanoparticle reinforcements (graphene, CNTs, and SiN) on the mechanical and dynamic properties of friction stir processed (FSPed) AA5083 aluminum composites. Microstructural analysis revealed the impact of these reinforcements on grain size. Dynamic properties were assessed using a free vibration impact test, while mechanical properties were measured through a compression test. Most composites showed enhancements in damping ratio and natural frequency compared to the base alloy, with the Ti₃SiC₂ leading to a substantial increase in natural frequency. The AA5083/max phase Ti3SiC2 composite demonstrated the most significant improvements across nearly all properties, notably enhancing stiffness (+7.35% in E), strength (+25.36% in yield strength), and vibration resistance (+5.83% in fₙ), while significantly reducing damping (−62.76% in ζ). In contrast, the friction stirred AA5083 offered moderate enhancements in strength (+17.86% in yield strength) and a slight increase in natural frequency (+2.00%) but did not significantly improve stiffness and actually increased damping. The base alloy AA5083 served as the baseline for comparison, exhibiting the lowest performance in all categories. The findings highlight the potential of FSP and reinforcement, especially Ti3SiC2, for tailoring the properties of AA5083 for enhanced performance in various applications. These findings emphasize the significance of customizing the reinforcement material to attain the intended mechanical characteristics in AA5083 composites.

Carbon nanotubes (CNTs) have received extensive attention due to their exceptional properties and wide range of applications. However, the agglomeration of CNTs in aqueous solutions and organic solvents significantly limits their large-scale application. In this study, the microscopic morphology and dispersion stability of the CNT suspensions were analyzed, and the most suitable surfactant in this study was selected. The preparation parameters of the CNT suspensions were optimized, and uniaxial compression tests were conducted on carbon nanotube concrete (CNTC) prepared using the optimized parameters. Scanning electron microscope analysis was used to investigate the improvement in the microstructure of the concrete by CNTs. Transmission electron microscope micrographs of the polyvinyl pyrrolidone (PVP)-CNT suspensions exhibited a uniformly distributed CNT cross-linked network. The absorbance reduction ratio of PVP-CNT suspensions after standing for 90 days was 13.75 and 22.41%, respectively. The absorbance reduction ratio of the suspensions first increased and then decreased with increasing dispersant ratio and ultrasonic dispersion time and increased with increasing ultrasonic power ratio. Compared with that of plain concrete, the uniaxial compressive strength of CNTC significantly improved, with a maximum increase of 18.15% when the content was 0.10%, and the failure mode exhibited typical shear failure characteristics. The optimized preparation parameters for the CNT suspensions were a PVP-to-multiwalled carbon nanotube mass ratio of 4:1, an ultrasonic dispersion time of 20 min, and an ultrasonic power of 60%. These optimized parameters are ideal choices for preparing CNT cement-based composite suspensions.

Based on magnetic fluids, new effective technical devices have been implemented, such as magnetic fluid bearings, seals, and dampers. The magnetic-viscous effect inherent to magnetic fluids can not only improve the properties of magnetic fluid units, but significantly complicate their operation after a long stop. This refers to the so-called «stop effect», which occurs due to an abnormally high limiting shear stress in a nanostructured liquid. The plastic properties of the magnetic fluid are experimentally studied depending on the following parameters: shear stress, temperature, structure formation time. The destruction of the nanostructure of the magnetic fluid begins after the shear stress exceeds a certain critical value. At stresses below the critical, but above the limiting shear stress, the displacement of the solid surface occurs by overcoming the boundary friction of the magnetic fluid on the solid surface. The experimentally established exponential course of the temperature dependence of the shear rate reflects the nature of the forces that determine the internal friction in the magnetic fluid.

By virtue of the abundant oxygen-functional groups, ultra-high specific surface area and superior mechanical properties, graphene oxide (GO) has been proven as one of the outstanding candidates in cement composites. Compared with the traditional cement pastes, the GO-reinforced cement composites exhibit benefits in pore structure, mechanical properties, and durability. In addition, the abundant oxygen-containing functional groups on GO can promote the hydration rate of cement and combine with hydration products to fill the pores. To further improve the performance of GO-reinforced cement composites and promote the application of composites in practical engineering, it is necessary to comprehensively understand the reinforcing mechanisms of GO on cement composites. In this work, the enhancement mechanisms of GO to improve hydration, nucleation effects, mechanical strengthening mechanisms, antiseepage mechanisms and pore-filling effects of GO are systematically revealed. The optimal dosage range of GO mixing in the current study is calculated by considering the factors of mechanical property and microscopic characterization, but the economic cost also needs to be considered in future development studies. This review will promote the application of the more cost-effective and high-performance GO-reinforced cement composites in practical construction engineering.

Copper oxide nanoparticles (CuO NPs) have wide range of application in many fields of industry, agriculture, cosmetics, and health care with probable risk to human health. The present study was conducted to find the chronic toxicity of these nanoparticles in the vital organs. Male healthy Wister Albino rats were subjected on daily bases to 35 intraperitoneal administration of 25 nm CuO NPs (2 mg/kg). All animals were subjected to morphological, histological, histochemical, and ultrastructural examinations. Exposure to CuO NPs induced reduction in body weight gain, urine retention, back arching, and renal calculi formation. The renal tissues demonstrated tubular hydropic degeneration, glomerular hypercellularity, blood vessels congestion and dilatation, renal interstitial oedema, mitochondrial injury, and lysosomal hypertrophy. Conversely, the liver displayed hepatocyte insultation, sinusoidal dilatation, Kupffer cells hyperplasia, inflammatory cell infiltration, hepatocytes mitochondrial cristolysis, mitochondrial swelling, lysosomal hyperplasia, and nuclear alterations. Furthermore, the cardiac tissues demonstrated congestion, cardiocytes disarray, and disorganization. In addition, the neural tissue exhibited Purkinje cells degeneration and cerebral cortex spongiosis. The results suggest that CuO nanomaterials engage with the vital organs’ components, potentially leading to alterations that could affect the organs function. Further research is encouraged for better understanding the mechanisms involved in pathogenesis of CuO NPs.

Triboelectric nanogenerators (TENGs) have been developed as innovative devices for harvesting various forms of mechanical energy generated by our bodies and surroundings, which provide green and sustainable power for increasingly miniaturized and mobile electronics, especially wearables. In this article, the largest possible output energy per cycle of a TENG in the two basic working modes, namely, the vertical contact-separation (CS) mode and the contact-sliding (LS) mode, is analyzed and the energy collected by a capacitor is tested. It is found that more energy output and collected from a vertical CS mode TENG than that from a LS mode TENG with the same size and triboelectric layer materials when the size and displacement range of the TENG are suitable for a wearable energy harvesting device. In order to improve the energy output of a TENG, three methods have been proposed to increase its surface charge density, such as adding a BaTiO3 film or a polydimethylsiloxane (PDMS)-BaTiO3 composite film between the triboelectric layer and the metal electrode, and using a PDMS-BaTiO3 composite film as a negative triboelectric layer, and corresponding TENGs are fabricated for experimental testing. These measures have effectively enhanced the output of the TENGs.

This study presents a novel model for variable fluid properties of a ternary hybrid nanofluid with base fluid polymer suspended on a three-dimensional stretching sheet under the influence of magnetohydrodynamic forces. Viscosity and thermal conductivity are temperature-dependent. This model has potential for use in nanotechnology, particularly in the shaping and design of surfaces for devices that can stretch or contract, wrap, and paint. The nonlinear equations in charge of this physical problem are derived by using similarity transformations. The fluid behavior is examined using the Reynolds viscosity model. The coupled nonlinear governing equations and the necessary boundary conditions are solved using the shooting technique with RK-4. The numerical calculations, including velocity and temperature profiles, are presented graphically to give the results a physical interpretation. The table discusses skin friction and Nusselt numbers at various physical parameters. The study’s findings show that changing the stretching parameter causes a significant change in the flow characteristics. Particularly, the thickness of the boundary layer decreases as the volume fraction of nanoparticles rises. Furthermore, because temperature-dependent viscosity is taken into account, as the viscosity parameter increases, so does the temperature. Key results specify that the Nusselt number Nu{\rm{Nu}} increases with the increase in temperature-dependent viscosity α\alpha , while decreases with the increase in thermal conductivity ϵ\epsilon parameters. Impact of α\alpha shows more convective heat transfer. Greater values of ϵ\epsilon reduce the effectiveness of heat transfer.

Carbon nanotubes (CNTs) are one-dimensional nanomaterials exhibiting specialized structures and exceptional mechanical, electrical, and chemical properties. CNTs find application in the fabrication of composite materials, material modification, and hydrogen storage. However, their widespread adoption in material modification is challenging due to their expensive manufacturing and proclivity toward agglomeration. This review expounds the evolution and future directions of in situ growth of CNTs on fly ash substrates through chemical vapor deposition or microwave heating methods. The unique structure and composition of fly ash engenders low-carbon and environmentally friendly properties while facilitating the self-growth of CNTs on its substrate. This paper delves into the characteristics and growth mechanism of the in situ-grown CNTs, with an analysis of mechanical properties, wave absorption, friction, applications, and innovations of fly ash in situ-grown CNTs as modifiers, adsorbents, and additives. The prepared fly ash in situ-grown CNTs have various advantages such as better dispersion properties, lower carbon emissions, and reduced preparation cost, enhancing their applicability in material modification and creation.

Co-curing bonding is more efficient than co-bonding and secondary bonding for structural component assembly. This work used novel covered laminas with co-cured joining techniques (CL-CCT) to create carbon fibre-reinforced polymer (CFRP) composite adhesive-bonded joints. Additionally, the researchers evaluated how multi-walled carbon nanotubes (MWCNTs) affect the bending and dynamic properties of CFRP composite joints. The researchers added various weights of MWCNTs to the covered laminas along with co-cured CFRP adhesive-bonded joints. The study revealed that epoxy and 0.25 wt% MWCNT adhesive produced the strongest and most flexible joints. These joints were 118 and 15% stronger than joints made from pure epoxy CL-CC CFRP, respectively. Compared to pure epoxy CC-CFRP composite joints, the strength of CL-CC CFRP composite joints with 0.25 wt% MWCNTs increased by 374 and 109%, respectively. Interestingly, MWCNTs with a wt% of 1.25 had the greatest natural frequency in all three vibration modes, which are 19, 19, and 13% higher than that of the pure epoxy CL-CC CFRP composite joint. There are 28, 30, and 24% more natural frequencies in 1.25 wt% MWCNT-based CL-CC CFRP composite joints than those in pure epoxy-based joints in all three modes. Analysis of variance was employed for statistical investigation. Optimization and prediction were done using an artificial neural network and the Levenberg–Marquardt technique.

The heat transfer characteristics of an unsteady magnetohydrodynamic flow through non-conducting infinite vertical parallel plates are presented in this investigation. The flow is subjected to an induced magnetic field, and the base fluid water contains carbon nanotubes (CNTs), in particular multi-wall carbon nanotubes, to present the behaviour of the nanofluid. The aim is to examine the effect of the applied magnetization and CNT concentration on the heat transport performance of the system. However, suitable transformation rules are adopted for the re-designing of the proposed design model into its non-dimensional form. This transformed system is then solved analytically following the standard transformations. The influence of key parameters, including the Hartmann number (Ha), the angle of inclination of the magnetic field, thermal buoyancy, heat source, and the concentration of CNTs in the nanofluid, on the flow phenomena is analysed. The consequences reveal that the occurrence of the inclined magnetic field affects the flow and heat transfer characteristics significantly. Additionally, the introduction of CNTs to the nanofluid enhances the heat transfer performance due to their unique thermal properties. The study demonstrates that enhanced Ha and CNT concentration augments the heat transfer rate.

The rising demand for ultra-high-performance concrete (UHPC) necessitates innovations in sustainable materials. This study explores the substitution of ordinary Portland cement (OPC) with thermally and mechanically activated nano-kaolin in varying proportions from 0.5 to 0.25%. A uniform quantity of double-hooked end steel fibers was added to all the mixes. Activated nano-kaolin variants showed significant enhancement in UHPC properties. Specifically, UHPC with 0.20% thermally activated kaolin (B3-TAK-20) exhibited a 21.6% increase in compressive strength and a 25.5% increase in modulus of elasticity at 90 days, with the modulus of rupture doubling compared to the reference mix. These improvements are attributed to the amorphous nature of thermally activated nano-kaolin, resulting in a denser concrete matrix and reduced porosity. Beyond the optimal 0.20% kaolin replacement, an increase to 0.25% diminished compressive strength. Durability tests showed enhanced acid resistance, with only a 6.7% mass loss for the thermally activated nano-kaolin mix and a consistent reduction in water absorption by 14.4% as kaolin proportions increased from 0.5 to 0.25%. The study also noted a decrease in water absorption by 22.9 and 12.3% at 56 and 90 days, respectively, indicating the thermally activated nano-kaolin’s enhanced performance. This research underscores the potential of activated kaolin as a viable alternative to OPC, paving the way for more sustainable UHPC production.

In the design and optimization of nanofluids, it is crucial to investigate and characterize the thermal conductivity enhancement mechanisms and their influencing factors. Although the effect of the “liquid film” on the thermal conductivity of the solid–liquid interface in nanofluids has been extensively studied, most of the research in this area has examined metal–water nanofluids or Ar-based nanofluids. In this work, non-equilibrium molecular dynamics is utilized to explore the mechanism of thermal conductivity enhancement in TiO2–water nanofluids. It is noted that a distinct interfacial layer is formed within 5 Å from the nanoparticle surface. As the nanoparticle size increases, the number density also increases, resulting in a corresponding increase in the thermal conductivity. Moreover, adding 1% TiO2 nanoparticles to water leads to an increase in thermal conductivity of 1.5–3%. Notably, the interfacial layer thickness remains relatively constant with the change in temperature. The Materials Studio analysis results indicated that the water molecule will have stable chemisorption on the titanium dioxide surface with an adsorption energy of approximately −0.96 eV. The findings of this study offer new insights and useful information to support the selection of nanomaterials for the preparation of convective systems.

Under the turbulence of global change, the production of boards has been influenced by the rising demand and price of wood-based materials. To improve the structural performance of boards, reinforcement materials have been added, such as nanoparticles. The purpose of this review is to explore the application of nanomaterials, including nano-SiO2, nano-Al2O3, nano-ZnO, nano-Fe2O3, nano-cellulose, nano-lignin, and nano-chitosan, to evaluate the physical and mechanical properties of particleboards. These nanoparticles have demonstrated their ability to reduce formaldehyde emissions, enhance the dimensional stability, bending strength, bending stiffness, fire resistance, and resistance to thermal conductivity in board production. For example, the addition of nano-SiO2, known for its hydrophilicity, attracts and holds water molecules and acts as a thermal barrier due to its high melting point and low thermal conductivity. In contrast, nano-Al2O3 is known for its high compressive strength (up to 3 GPa), hardness strength (9 Mohs scale), and high thermal conductivity, which helps to dissipate heat more effectively. This comprehensive evaluation brings together recent advances in producing particleboards and medium density fiberboard reinforced with nanoparticles, which are essential for future research and industry applications. The study emphasizes how innovative nanoparticles can contribute to sustainable urban development and construction practices, reduce deforestation, preserve natural habitats, and provide affordable housing. The research indicates that nanoparticle boards meet (e.g., nanoclay and nanoalumina panels) and in some cases exceed the minimum requirement for general-purpose panels set standards such as the ANSI/A208.1-1999, including water absorption of 8%, thickness swelling of 3% and EN 312 for the bending strength (15–16 MPa) and bending stiffness (2.2–2.4 GPa) for P4 and P6 boards, respectively. These results support the transformative power of nanomaterials in promoting a more sustainable and future solution for boards in the building construction industry.

The use of plant extracts as potent reducing agents for the environmentally friendly production of nanoparticles (NPs) has recently attracted the interest of scientists. NPs have received high attention because of their novel properties. The aim of the present study is to biosynthesize zinc oxide nanoparticles (ZnO NPs) using Raphanus sativus and study their effect as antibacterial, anticancer, antiviral, and antidiabetic, agents, NLRP3 inflammasome inhibitors, and inducers of phagocytosis and autophagy. The antibacterial, anticancer, and antiviral activities of ZnO NPs were investigated using different assays: well diffusion assay, MTT assay, reverse transcription polymerase chain reaction, reactive oxygen species generation, and apoptosis assay. Meanwhile, immunofluorescent assay, enzyme-linked immunosorbent assay, and flow cytometry were used for detection of autophagy and phagocytosis. Docking was also achieved to study their binding mode as well as affinity within the target enzymes (glucosamine-6-phosphate synthase) (PDB:1MOQ) active site, estrogen receptor (PDB:3ERT) active site, and tubulin receptor (PDB:4O2B) active site. The results demonstrated that the ZnO NPs have an inhibitory role against bacteria and the proliferation of lung cancer cells (A549). IC50 was 22.78 µg/mL for A549 cells. For MCF-10, was 272.24 µg/mL, antiviral activity against influenza virus, and antidiabetic agent. Conversely, the results showed the ability of ZnO NPs to reduce inflammasome activity via induction of autophagy. The study’s findings show that R. sativus can be easily and effectively used to synthesize ZnO NPs, and they also highlight the ZnO NPs’ considerable potential as antibacterial, antiviral, anticancer, NLRP3 inflammasome inhibitor, antidiabetic agent, and phagocytosis and autophagy inducer. Based on our findings, the green synthesized ZnO NPs could be used as promising therapeutic agents for biomedical applications.

Most patients are at advanced stages when they are diagnosed with hepatocellular carcinoma, leading to poor prognosis and a low 5-year survival rate. Serological markers, ultrasound, computed tomography, magnetic resonance imaging, positron emission tomography, and liver biopsy are the common clinical diagnostic techniques for liver cancer. Effective interventions in the early stage will be beneficial to improve the prognosis of liver cancer patients and reduce the global burden. Therefore, it is urgent to develop new diagnostic methods to improve the diagnosis and management of liver cancer. Nanotechnology has become a new frontier subject in medical detection along with the application of nanomaterials in the manufacture of drug carriers, diagnostic tools, and therapeutic devices. Many studies have shown that nanoparticles (NPs) can be applied to the clinical diagnosis of liver cancer in combination with existing technologies, providing a new method for the early diagnosis of liver cancer. In this review, we elaborate on the theoretical basis and characteristics of NPs in the diagnosis of liver cancer, and the research progress and prospects of NPs in the diagnosis of liver cancer are summarized.

Geopolymer mortar can be used as an environmentally friendly sustainable construction material for the repair and strengthening of already-existing structures with the utilization of various recycled materials, such as fly ash, slag powder, etc. With mature application of fibers and nanoparticles in construction materials, nano-SiO2 (NS) and polyvinyl alcohol (PVA) fibers have been utilized to enhance the properties of geopolymer mortar, which has a major impact on the rheological properties of geopolymer mortar. The rheological property tests of geopolymer mortar were carried out in this study, and three indices including dynamic yield stress, static yield stress, and plastic viscosity were studied as rheological parameters. The results of the study were used to establish the relationships between PVA fiber content as well as NS content and rheological parameters. The results showed that a tendency of first decreasing and then increasing was observed in the rheological parameters with the addition of NS content from 0 to 2.5%. Compared with the geopolymer mortar without NS addition, the dynamic yield stress, static yield stress, and the plastic viscosity increased by 22.6, 12.4, and 22.9%, respectively, when NS content was 2.5%. The results showed that the rheological parameters of geopolymer mortar increased linearly with the increment in PVA fiber content which was less than 1.2%. In comparison to the geopolymer mortar without PVA fibers, the dynamic yield stress, static yield stress, and plastic viscosity increased by 65, 56, and 161%, respectively, as the PVA fiber content was 1.2%.

The limitations of traditional drug therapy have driven the creation and development of novel cell membrane-coated nanoparticle (CMNP) platforms. Since the introduction of the CMNP concept and method in 2011, an increasing number of studies focusing on this field have been widely conducted. Despite the growing body of literature, comprehensive bibliometric analysis in this field is still lacking. This study conducted a bibliometric analysis of CMNP-related publications sourced from the Web of Science Core Collection database, covering the period from January 1, 2011, to December 31, 2023. The analysis included co-authorships, co-citations, and co-occurrences of countries, institutions, authors, references, and keywords. Visualized tools such as Citespace, VOSviewer, and R Package Bibliometrix were employed to present the data. A total of 780 studies were included, with China contributing the highest number of publications (75.64%, n = 590). The number of annual publications increased consistently from 2011 to 2023, indicating a growing global interest in the CMNP field. Prof. Liangfang Zhang from the United States is recognized as the founder and leading figure in this area. The top three academic journals in this field, based on publication volume, are ACS Nano (32 publications, IF 2022 = 17.1), ACS Applied Materials Interfaces (32 publications, IF 2022 = 9.5), and Advanced Functional Materials (31 publications, IF 2022 = 19) among 185 scholarly journals. Reference and keyword analysis revealed that erythrocytes and macrophage membranes are significant research hotspots. The primary diseases targeted by CMNP research are cancer and pulmonary inflammation. In addition, CMNPs are frequently studied in conjunction with photothermal and photodynamic therapy. Furthermore, this study also summarized the timelines for various cell membrane coating methods and the three-step preparation process for CMNP. This comprehensive bibliometric analysis provides valuable insights to guide future research in the CMNP field, highlighting the importance of clinical application. Research on cell membrane-coated nanomaterials, particularly those related to cancer and pulmonary inflammation, is expected to remain a focal point. In addition, there is a need for the further development of other potential cell membrane-coated nanomaterials. This bibliometric analysis serves as a resource for researchers to quickly and comprehensively understand the current hotspots and emerging frontiers in this field.

The COVID-19 pandemic strongly stimulated research on anti-SARS-CoV-2 virus treatments. The present study reviews a nanotechnology approach to this task, i.e., in other terms, a nanomedicine approach. Nanotechnology aims to create nanostructures or nanoparticles, also called nanoformulations, for targeted delivery of drugs, as well as improved drug release control. This approach is particularly promising to enhance the antiviral effect of natural pro-drugs. Here, we review several nanoformulations developed for the targeted delivery of medications against SARS-CoV-2. We draw special attention to repurposing strategies for known antiviral and natural therapies. Also, functionalized nanoparticles with specific targeting moieties and functional groups were discussed. The summary could motivate researchers to pursue more studies in this exciting area by seeking nanotechnology-based, cutting-edge, tailored delivery strategies for the SARS-CoV-2 virus.

Graphical illustration of various strategies of nanoscale engineering boosting charge separation in semiconductor photocatalysts for photocatalytic hydrogen production.

The penta-hybrid nanofluid is a nanofluid that contains five different types of nanoparticles. It can achieve higher heat transfer rates than conventional hybrid nanofluids due to the synergistic effects of the nanoparticles. It also has more diverse physical and thermal properties, which make it more adaptable for various applications. Therefore, this research examines the influence of localized magnetic fields on the vortex dynamics in a penta-hybrid nanofluidic flow in a vertical cavity with an aspect ratio of 1:10, driven by a top and bottom lid moving in the opposite direction. The stream-vorticity formulation is used to solve the dimensionless governing partial differential equation. A confined magnetic field in the form of horizontal and vertical strips has been applied instead of a uniform magnetic field throughout the flow domain, which is more realistic. Moreover, MATLAB codes developed by the authors are used to investigate how these parameters affect the flow and thermal properties of the nanofluids. The results suggest that magnetic fields have an impact on how stress, flow patterns, and temperature are distributed. Moreover, the presence of a magnetic field influences the spacing of isotherms, indicating a more even temperature distribution. It has also been observed that stress distribution is affected by the magnetic field, with higher stress levels near walls and regions with velocity-induced stress. However, in certain areas, the magnetic field can decrease shear stress depending on its strength and orientation. These study findings have implications for designing and operating nanofluidic devices. For instance, utilizing a magnetic field can help regulate flow patterns, temperature distribution, and stress distribution within nanofluidic channels. This capability could prove beneficial for a range of applications, such as cell separation, drug delivery, and nanofluidic heat exchange systems.

The alloys composed of magnesium (Mg) are deemed appropriate materials for utilization in the automotive, aerospace, and medical sectors due to their exceptionally high specific strength and density. Due to the strengthening mechanisms and superior mechanical properties, Mg–Gd systems pique the interest of researchers. The property enhancement is enabled by the formation of nano-scale stable (β) and metastable (β′) precipitates in the Mg–Gd system. Additionally, the concentration of the various alloying elements significantly influences the formation of the nano-level precipitates. This article presents an overview of the Mg–Gd system, focusing on its microstructure, mechanical properties, and corrosion behavior. In addition, the variety of manufacturing processes utilized to fabricate the Mg–Gd system is also discussed. Enhanced mechanical properties were attained through the combination of casting/deformation methods and various heat treatment techniques. The mechanical and corrosion behaviors have been extensively discussed, in connection to the effects of the second phase/precipitates. This article provides an overview of recent developments pertaining to Mg–Gd alloy and extrapolates potential future developments.

Biological ion channels play an important role in living processes, such as maintaining osmotic pressure, signal transduction, and transmitting nerve impulses, and can selectively regulate the transmembrane transport of substances. Inspired by the structure and function of biological ion channels, researchers have prepared a variety of biomimetic nanochannels using advanced nanofabrication techniques to study the mechanism of ion transport in the nanoconfined space. In this study, we mainly introduce the current materials and preparation methods of nanochannels; compare the advantages and disadvantages of the current mainstream theoretical models and simulation software; clarify the influence of confinement effect and surface interface effect on the hydrogen bond structure characteristics and phase transition behavior of confined water in graphene nanochannels, revealing the driving effect of separation pressure in nanochannels on water transport, the micromechanical nature of the water flow boundary slip of nanochannels, and the dominant micromechanical mechanism behind the confined mass transfer phenomenon of nanochannels at different scales; and expound the regulation of nanomaterials based on ionic bond modification and the influence of ion transport properties in industrial desalination, energy enrichment, and detection. The future applications of nanochannel bionic design and regulation, ion-exchange filtration membranes, and ultra-high-speed water transport mechanisms are prospected.

The augmentation of the epoxy (EP) resin surface to advance flashover performance has become a pivotal point of global interest. This research introduces a novel surface modification method and its mechanism for insulation materials. The research follows an electron cyclotron resonance ion implantation system to subject the surface of EP insulation to ion beams with diverse energies, i.e., 6, 10, 20, 40, 50, and 60 keV for a consistent time of 300 s at an angle of 90°. The experimental phase includes the DC flashover examination under negative polarity. Besides, the simulation phase includes the Monte Carlo model constructed using SRIM software to examine the range and distribution of bombarded ions in the targeted insulation. Results reveal that the flashover properties are affected by the surface potential, surface conductivity, trap distribution, water contact angle, and elemental composition. Likewise, based on the outcomes and theoretical point of view, it is revealed that the bombardment of energetic ions enhances the trap depth, assisting in a reduction in surface conductivity, confining the surface charge movements, and extensively suppressing the secondary electron emission yield. Also, the enhanced trap depth induces homo-charge formation near triple junctions. Synergistically, the factors contribute to high flashover voltages.

Gold nanoclusters (AuNCs), with sizes below 2 nm, have emerged as remarkable nanomaterials exhibiting unique optical, electronic, and chemical properties. Their ultra-small size imparts advantageous characteristics, including high surface area, tunable fluorescence, and excellent biocompatibility, making AuNCs highly promising for diverse applications. This article explores recent advancements in leveraging AuNCs to address critical challenges in clean energy storage and environmental remediation. For energy storage, AuNCs boost the performance of Li-based batteries by facilitating rapid electron transfer kinetics and limiting polysulfide shuttling. The review delves into mechanistic insights governing AuNC–hydrogen interactions, various synthetic approaches for tailoring AuNCs, and their emerging applications as advanced electrodes, efficient catalysts, and conductive additives enabling improved charge storage capabilities. Additionally, using plasmonic effects and hot carrier generation induced by AuNCs shows tremendous potential in photocatalytic water splitting for clean hydrogen fuel production. For environmental applications, AuNCs enable the degradation of persistent organic pollutants, heavy metal ion detection at part-per-trillion levels, and solar-driven water purification, relying on plasmon-enhanced hot carrier processes. However, the long-term ecological impacts of AuNCs remain unclear. This study thus underscores the need for further toxicological assessments and life cycle analyses to promote sustainable AuNC-based technologies through responsible research and innovation. Overall, it highlights the versatile applicability of AuNCs in addressing critical energy and environmental challenges.

Harnessing green hydrogen production from natural Red Sea water offers an innovative solution to address energy challenges. A one-pot fabrication method is used to create novel nanocomposite thin films with open-spherical shapes, utilizing copper sulfide/poly-O-amino benzenethiol decorated on copper oxide as a promising photocathode. After thorough analysis, a unique morphology characterized by open spherical shapes is projected, which contributes to improved optical absorption. The bandgap of the nanocomposite is 1.17 eV, enabling efficient absorption of light across the entire optical spectrum, extending up to 950 nm. Utilizing Red Sea water as an electrolyte, the generated J ph serves as an indicator of H2 gas production. The substantial J ph value of −0.82 mA cm−2 is achieved at −0.85 V under light illumination. Furthermore, J ph values exhibit variability, starting at −0.58 mA cm−2 (at 730 nm) and increasing to −0.75 mA cm−2 at a wavelength of 340 nm. The estimated hydrogen gas production rate reaches 1.5 µmole h−1 cm−2, translating to an impressive 15 µmole h−1 for every 10 cm². This remarkable rate underscores the effectiveness of the photocathode, especially given its fabrication through a single-step process that is suitable for mass production. In addition, its cost-effectiveness further enhances its appeal as a viable solution for renewable energy production for hydrogen gas generation from seawater.

Immunotherapy is currently the main treatment for malignant tumors by activating immune cell. Metabolic reprogramming in tumor microenvironment can greatly affect the function of immune cell, and T cell is the main anti-tumor effector cell. Therefore, the T cell-based immunometabolic therapy can improve clinical efficacy. In T cell-based immunometabolic therapy, regular agents in conventional forms are difficult to achieve the intended efficacy due to poor tumor permeability and low cellular uptake. Nanoparticle-based strategy can serve as the optimal targeted drug delivery system due to co-encapsulation of multiple therapeutic agents and stable loading. Here, we intend to summarize examples of nanoparticles in the T cell-based immunometabolic therapy, and provide a comprehensive and helpful review by covering notable and vital applications of nanotechnology-based strategies for T cell-based immunometabolic therapy.

Asphalt binders in pavements lose their stability through aging and eventually fail in the field. Using nuclear magnetic resonance (NMR) to monitor the primary longitudinal relaxation time of asphalt samples and the ratio of material that carries this primary relaxation time has been shown to indicate the impact of ultraviolet (UV) radiation on the aging of asphalt pavements. Longitudinal NMR relaxation was used to investigate two types of proposed asphalt rejuvenators, a bio-oil-based rejuvenator and a crude-oil-based rejuvenator. Two different binders with the performance grades (PG) 64-22 and 76-22 were considered for their interactions with the rejuvenators. After 72 h of exposure to intense UV radiation, specifically designed NMR relaxometry experiments were applied to compare the rejuvenation capabilities of the two rejuvenator samples. The crude oil-based rejuvenator was found to exhibit relaxation times similar to the binder samples while the bio-based material showed relaxation times that pointed to different nuclear hydrogen environments. Both rejuvenators reduced the primary relaxation time of the PG 76-22 binder, which indicates that their stiffness was reduced. Both types of rejuvenators also seemed to prevent the effects of UV aging. Two mechanisms of rejuvenation were identified by NMR relaxometry. The primary relaxation time can be used to indicate a change in stiffness while the primary ratio of the material is tied to oxidative aging. Oxidative aging creates distinct hydrogen environments due to asphaltene aggregation. The bio-based rejuvenator only reduced the binder’s stiffness, while the crude oil-based rejuvenator also reduced the aggregation of asphaltenes. Consequently, the bio-based rejuvenator could be classified as an asphalt softener, while the oil-based material acted like a true rejuvenator.

The main objective was to evaluate the use of common bean flour (CBF), corn flour, and semolina to obtain instant noodles by means of a hot dry and frying process. The hot drying process was conducted at 60 °C for 4 h, and frying was conducted at 140 °C and 160 °C for 1 and 3 min. Proximate analysis, total phenolic content (TPC), the 2,2-diphenyl-1-picrylhydrazyl (DPPH) test, the oxygen radical absorbance capacity (ORAC) assay, phenolic acids and flavonoids profile by UPLC-ESI-MS/MS, the optimal cooking time (OCT), and color and texture analysis (TPA) were conducted. The general linear model and regression analysis were used. The incorporation of CBF resulted in an elevated protein content and TPC of the noodles. The noodles (hot dry) with CBF exhibited an enhanced antioxidant capacity. The adhesiveness has a direct correlation with the cinnamic, chlorogenic, and caffeic acid content (r2 = 0.95 or higher), as well as an inverse relationship with the vanillic, ferulic, and sinapic acids (r2 = −0.80 to −0.85). The dry hot noodles exhibited the lowest value of hardness (31.0 ± 1.5 N). The incorporation of common bean flour and corn flour enhances the nutritional profile of noodles. However, hot dry process affects their mechanical characteristics in comparison to the frying process.

The partition coefficients of seven low molecular weight compounds were tested in different aqueous two-phase systems. The ionic composition of each system included specific salt additives, and it was found that there is a linear relationship between the solute partition coefficients and the presence of different salt additives. The study suggests that the solute structure and the type of ions influence the solute response to the ionic environment. Additionally, it was observed that the solutes’ polar surface area and the solvent-accessible surface area are the essential structural features governing partitioning in aqueous two-phase systems.