Various Types Of Nanoparticles Research Articles

Анализ механизмов формирования наночастиц в горной массе

Introduction. In recent years, issues of analyzing the mechanisms of formation of nanoparticles in rock mass have become increasingly relevant. It is necessary to take into account that nanoparticles have a fundamentally different genesis: they can be nanoparticles formed in various minerals, or formed in subsequent stages, through chemical synthesis and self-grinding. Research methods and materials. The main method for studying zircon grains is the use of scanning ion imaging of zircon, which allows one to detect the presence of lead-rich clots and, together with computed tomography data, confirm their size of tens of nanometers. Research results. The article briefly presents the morphology of the mechanism of formation of natural nano-sized particles formed due to the friction of rocks among themselves and the geometric destruction of their individual varieties, which are ubiquitous, global in nature. It has been determined that the variety of structures of nanoparticles with their corresponding properties of the minerals in question has begun to find wide application in industry. It has been established that, based on this trend in technological development, it is important to study the structure of nanoparticles in order to obtain them artificially without spending resources on their extraction in the natural environment. The mechanism of formation of gold nanoparticles in river waters and the presence of nanoparticles of various metals in them are sho wn. Discussion of research results. Through observations during analysis of crystallographic studies, it was established that spherical iron nanoparticles have the greatest magnetic saturation. Conclusion. It has been established that iron nanoparticles have a chemical and biological mechanism of formation, i.e. almost biosphere genesis. Conclusions on the article. Various types of nanoparticles found in rocks are considered and various mechanisms of their formation in the lithosphere are revealed. Suggestions for practical applications and directions for future research. Future research is needed to prevent landslides in the Shatoi region in the village of Gush-kert in the Chechen Republic.

Study of multilayer flow of two immiscible nanofluids in a duct with viscous dissipation

Numerical simulations for the mixed convective multilayer flow of two different immiscible nanofluids in a duct with viscous heating effects were performed in this study. The left and right faces of the duct are maintained to be isothermal, while other side faces are insulated. The mathematical governing system for each layer consists of an incompressibility condition equation, the Navier–Stokes momentum equation, and the conservation of energy equation. At the interface of the immiscible layer, the continuity of velocity, shear stress, temperature, and heat flux are considered. The dimensionless equations governing each layer were numerically integrated using the finite difference method and the Southwell-over-relaxation method. A mesh independence test is conducted. Furthermore, a parametric study is performed to analyze how the different nanoparticle volume fractions and viscous heating affect the transport characteristics of engine oil–copper and mineral oil–silver nanofluids. The study also examined the effects of various types of nanoparticles and base fluids. The results demonstrated that heat transport could be efficiently controlled by considering the viscous heating aspect. Moreover, the effects of different nanoparticles on heat transport were found to be more significant than those of base fluids. Finally, a point-wise comparison of our numerical results demonstrates a good agreement with existing studies in the literature.

Buckling and Free Vibration Analyses of Various Nanoparticle Reinforced Concrete Beams Resting on Multi-Parameter Elastic Foundations.

Given their considerable specific surface area and amorphous characteristics, nanoparticles exhibit excellent pozzolanic activity, and when undergoing a reaction with calcium hydroxide, this leads to the generation of a denser matrix by promoting the formation of a greater amount of C-S-H gel, thereby enhancing the strength and durability of the concrete and fortifying the overall structure. Indeed, the present study investigates a comparative study of the buckling and free vibration analyses of concrete beams reinforced with various types of nanoparticles. For its simplicity and accuracy, a higher-order shear deformation theory will be used to analytically model the reinforced concrete beam. Furthermore, the powerful Eshelby's model is used to derive the equivalent nanocomposite properties. The soil medium is simulated with Pasternak elastic foundation, including a shear layer, and Winkler's spring, interlinked with a Kerr foundation. The motion equations are derived using Hamilton's principle. Moreover, based on Navier's analytical methods, the closed-form solutions of simply supported beams have been obtained. Different parameters, such as type and volume percent of nanoparticles, geometrical parameters, choice of theory and soil medium, on the buckling and dynamic behavior of the beam, are exercised and shown. The major findings of this work indicate that the use of nanoparticles in concretes increases better mechanical resistance and amplifies the natural frequencies. In addition, the elastic foundation has a significant impact on the buckling and vibration performances of concrete beams.

Lipid-based nanoparticles via nose-to-brain delivery: a mini review.

Central nervous system disorders significantly affect the lives and health of millions of people worldwide. Despite many therapeutic drugs are available that could potentially target central nervous system disorders, their clinical utility is severely constrained by their inability to cross the blood-brain barrier (BBB). Fortunately, nanotechnology has been advanced to offers a solution to allow drugs reaching the targeted brain regions safely, efficiently, and precisely through nasal drug delivery system (NDDS), bypassing the BBB completely. This strategy can promote the drug accumulated in the targeted brain region, improve drug bioavailability, and minimal side effects and mucociliary clearance effectively. In this review, we elaborate recent advances in the use of lipid-based nanoparticles, involving liposomes, nanoemulsions, nanostructured lipid carriers, and solid lipid nanoparticles. Besides, we particularly introduced the nasal cavity physiological structure, and further summarized the nose-to-brain drug delivery pathways, including olfactory, trigeminal, and blood circulation pathway. Moreover, the mechanism and route of NDDS by various types of nanoparticles are also highlighted.

Reproductive Toxicity of Nanoparticles: A Comprehensive Review.

The unique characteristics of nanoparticles (NPs) have captivated scientists in various fields of research. However, their safety profile has not been fully scrutinized. In this regard, the effects of NPs on the reproductive system of animals and humankind have been a matter of concern. In this article, we will review the potential reproductive toxicity of various types of NPs, including carbon nanomaterials, dendrimers, quantum dots, silica, gold, and magnetic nanoparticles, reported in the literature. We also mention some notable cases where NPs have elicited beneficial effects on the reproductive system. This review provides extensive insight into the effects of various NPs on sperm and ovum and the outcomes of their passage through blood-testis and placental barriers and accumulation in the reproductive organs.

NANOPARTICLE BASED DRUG DELIVERY SYSTEMS FOR TARGETING TUMOR MICRO ENVIRONMENT

Nanoparticle-based drug delivery systems have emerged as promising tools in cancer therapy, offering enhanced precision and effectiveness in targeting tumor cells while minimizing damage to healthy tissues. This review provides a comprehensive exploration of the tumor microenvironment, emphasizing its critical role in cancer progression. It highlights the significance of targeted drug delivery in improving treatment outcomes and introduces nanoparticle-based delivery systems as innovative strategies to address these challenges. The first section delves into various types of nanoparticles used for tumor targeting. Liposomes, known for their versatility and biocompatibility, are discussed alongside examples of liposome-based drug delivery systems tailored for tumor-specific applications. Polymeric nanoparticles, employing a range of polymers, offer unique advantages and applications in tumor targeting. Metallic nanoparticles, with distinctive properties, have shown promise in drug delivery systems designed to target tumors effectively.

Overcoming tumor microenvironment obstacles: Current approaches for boosting nanodrug delivery.

In order to achieve targeted delivery of anticancer drugs, efficacy improvement, and side effect reduction, various types of nanoparticles are employed. However, their therapeutic effects are not ideal. This phenomenon is caused by tumor microenvironment abnormalities such as abnormal blood vessels, elevated interstitial fluid pressure, and dense extracellular matrix that affect nanoparticle penetration into the tumor's interstitium. Furthermore, nanoparticle properties including size, charge, and shape affect nanoparticle transport into tumors. This review comprehensively goes over the factors hindering nanoparticle penetration into tumors and describes methods for improving nanoparticle distribution by remodeling the tumor microenvironment and optimizing nanoparticle physicochemical properties. Finally, a critical analysis of future development of nanodrug delivery in oncology is further discussed. STATEMENT OF SIGNIFICANCE: This article reviews the factors that hinder the distribution of nanoparticles in tumors, and describes existing methods and approaches for improving the tumor accumulation from the aspects of remodeling the tumor microenvironment and optimizing the properties of nanoparticles. The description of the existing methods and approaches is followed by highlighting their advantages and disadvantages and put forward possible directions for the future researches. At last, the challenges of improving tumor accumulation in nanomedicines design were also discussed. This review will be of great interest to the broad readers who are committed to delivering nanomedicine for cancer treatment.

Application of nanoparticles in modified polybenzimidazole-based high temperature proton exchange membranes

Polymeric proton exchange membranes (PEMs) are vital components of fuel cells, as they enable the transport of protons while preventing the crossover of fuel and oxidant gases. However, conventional PEMs have limitations such as low use temperature, low proton conductivity, and poor mechanical and thermal stability. Various types of nanoparticles have been investigated to modify PEMs to overcome these limitations, as they can increase proton conductivity, mechanical strength, thermal stability, and chemical resistance. Metal oxides such as SiO2 and TiO2 have been shown to improve the proton conductivity and mechanical properties of PEMs. Carbon-based materials such as graphene oxide have been found to enhance both the proton conductivity and thermal stability of PEMs. The use of nanoparticles in modified polymeric PEMs for fuel cells shows excellent potential for improving the performance and durability of fuel cells. Future research should focus on developing cost-effective and scalable methods for nanoparticle synthesis and incorporation into PEMs. Polybenzimidazole (PBI) is the most widely studied high-temperature polymer for preparing composite PEMs. This review provides the recent development of PBI composite PEMs modified with different types of nanoparticles.

Green Synthesis of Silver Nanoparticles

Development of reliable and eco-accommodating methods for the synthesis of nanoparticles is a vital step in the field of nanotechnology. The remarkable chemical, physical, and biological characteristics of silver nanoparticles make them significant. Nowadays, due to the growing demand for environmentally benign technology for material synthesis, biosynthesis of silver nanoparticles (Ag Nps) has attracted a lot of attention in industrialized nations. Among the various types of nanoparticles and their strategy for synthesis, because of their special physicochemical and biological characteristics, silver nanoparticles created through green synthesis have drawn considerable interest in the biomedical, cellular imaging, cosmetics, drug delivery, food, and agrochemical industries. The size distributions and resultant nanostructure studies from the transmission electron microscopy (TEM) were in perfect agreement with the characteristics of the synthesized colloidal Ag-NPs analyzed by the ultraviolet-visible (UV-vis) spectra. For the creation of silver nanoparticles (AgNPs), biomolecules from various plant parts and microbial species have been investigated. In this review, the available previously released information on AgNPs production, characterisation methods, and applications are compiled and critically analyzed.

Emerging Polymer-Based Nanosystem Strategies in the Delivery of Antifungal Drugs.

Nanosystems-based antifungal agents have emerged as an effective strategy to address issues related to drug resistance, drug release, and toxicity. Among the diverse materials employed for antifungal drug delivery, polymers, including polysaccharides, proteins, and polyesters, have gained significant attention due to their versatility. Considering the complex nature of fungal infections and their varying sites, it is crucial for researchers to carefully select appropriate polymers based on specific scenarios when designing antifungal agent delivery nanosystems. This review provides an overview of the various types of nanoparticles used in antifungal drug delivery systems, with a particular emphasis on the types of polymers used. The review focuses on the application of drug delivery systems and the release behavior of these systems. Furthermore, the review summarizes the critical physical properties and relevant information utilized in antifungal polymer nanomedicine delivery systems and briefly discusses the application prospects of these systems.

Fracture resistance of ultra-high-performance fiber-reinforced concrete containing nanoparticles at high strain rates

The fracture resistance of ultra-high-performance fiber-reinforced concrete (UHPFRC) containing various types of nanoparticles (NPs) under various strain rates (0.000333–156.55 s−1) was investigated. Four matrices were examined: UHPFRC without NPs (UM), UM containing 3% nano-CaCO3 (UC), UM containing 1% carbon nanotubes (UCNT), and UM containing 1% nano-SiO2 (US). The effects of the strain rate on the fracture resistance of the matrices, including fracture strength, fracture energy, and specific work-of-fracture (WS), were evaluated. All matrices containing NPs demonstrated a higher rate-sensitive fracture resistance than that of the UM matrix. The dynamic increase factors (DIF) for the WS of UC, US, and UCNT were 4.50, 4.30, and 3.68, respectively, whereas that of UM was the lowest at 3.44. Of the NP-containing UHPFRCs, at high strain rates between 140.6 and 156.55 s−1, the matrices arranged in order of decreasing WS magnitude are UC > US > UCNT. The fracture resistance enhancement in UC was attributed to the improvement in the C-S-H content of the fiber–matrix zone due to the added nano-CaCO3, which increased the interfacial bond strength of the smooth steel fibers embedded in the UHPFRC.

Improved in vitro biocompatibility and cytoplasmic localization of gold nanoparticles and graphene oxide nanosheets assessed using confocal microscopy

Nanomaterial-based delivery platforms have indeed revolutionized drug delivery systems in recent years. These platforms, which are based on various types of nanoparticles, offer several advantages over traditional drug delivery systems. Therefore, during this work, we synthesized gold nanoparticles (GNPs) and graphene oxide (GO) as representative nanomaterials and assessed their biocompatibility and cytoplasmic localization in vitro. Structural characterization of the prepared nanoparticles was performed by using different techniques. For instance, laser diffraction spectrometry using a Nano-ZS Zetasizer was used to determine the particles size, and Zeta potential. High-resolution transmission electron microscopy (HR-TEM) were utilized to evaluate Particle sizes and morphologies of the prepared nanoparticles. Additionally, the chemical structure of the prepared nanoparticles was assessed by X-ray diffraction (XRD) and Fourier transform infrared spectroscopy (FTIR). The effects of the different concentrations of GNPs and GO nanosheets on cell viability and proliferation were evaluated by WST-1 cell proliferation assays. Ultimately, in vitro studies were performed by confocal microscopy to characterize the cellular uptake of the prepared nanoparticles. The net results of this study suggest that both nanomaterials showed a cytoplasmic entry without penetrating the nucleus. They may be useful for slow drug release as well as photothermal and photodynamic therapy using a low-powered laser or IR radiation.

Machine Learning Composite-Nanoparticle-Enriched Lubricant Oil Development for Improved Frictional Performance—An Experiment

Improving the frictional response of a functional surface interface has been a significant research concern. During the last couple of decades, lubricant oils have been enriched with several additives to obtain formulations that can meet the requirements of different lubricating regimes from boundary to full-film hydrodynamic lubrication. The possibility to improve the tribological performance of lubricating oils using various types of nanoparticles has been investigated. In this study, we proposed a data-driven approach that utilizes machine learning (ML) techniques to optimize the composition of a hybrid oil by adding ceramic and carbon-based nanoparticles in varying concentrations to the base oil. Supervised-learning-based regression methods including support vector machines, random forest trees, and artificial neural network (ANN) models are developed to capture the inherent non-linear behavior of the nano lubricants. The ANN hyperparameters were fine-tuned with Bayesian optimization. The regression performance is evaluated with multiple assessment metrics such as the root mean square error (RMSE), mean squared error (MSE), mean absolute error (MAE), and coefficient of determination (R2). The ANN showed the best prediction performance among all ML models, with 2.22 × 10−3 RMSE, 4.92 × 10−6 MSE, 2.1 × 10−3 MAE, and 0.99 R2. The computational models’ performance curves for the different nanoparticles and how the composition affects the interface were investigated. The results show that the composition of the optimized hybrid oil was highly dependent on the lubrication regime and that the coefficient of friction was significantly reduced when optimal concentrations of ceramic and carbon-based nanoparticles are added to the base oil. The proposed research work has potential applications in designing hybrid nano lubricants to achieve optimized tribological performance in changing lubrication regimes.

A numerical evaluation of a latent heat thermal energy storage system in the presence of various types of nanoparticles

Due to the high demand for using phase change materials (PCMs) in thermal systems and to the goal of improving the thermal efficiency of solar systems, herein, the heat storage performance of nano PCM (nPCM) was numerically scrutinized. For this purpose, a vertical double-tube heat exchanger containing paraffin and five different nanoparticles was simulated. By originating scientific results, 31 radial fins were considered on the tube side of the heat exchanger. RT35 paraffin wax as PCM includes a melting point close to the ambient temperature, making it easy to investigate domestic usage's charging and discharging processes. It was found that nanoparticles be able to decrease the duration of melting and solidification processes. Adding 5 vol% of Cu, CuO, TiO2, Carbon nanotube (CNT), and Graphene nanoplatelet (GNP) to the PCM caused 6.6%, 10.2%, 10.7%, 33.4%, and 56.4% of the melting time reduction, while time reductions of 20.3%, 13.4%, 13.2%, 43.1%, and 69.7% for solidification were observed, respectively. The results showed that thermal conductivity, density, and heat capacity properties affect the melting process, whereas thermal conductivity was the most critical parameter in the solidification process. Thus, despite the better performance of CuO and TiO2 compared to Cu in the melting process, it diminished the solidification time greater than the others. Also, the presence of nanoparticles was more significant in the solidification process. Moreover, the heat transfer coefficient of GNP-PCM was the highest among others (66.63 W/m2.K for 5 vol%), while it was 24.68 W/m2.K for 5 vol% of Cu-PCM. This comprehensive study yielded beneficial results for preparing more efficient thermal energy storage systems.

Nanoparticle-Based Radioconjugates for Targeted Imaging and Therapy of Prostate Cancer.

Prostate cancer is the second most frequent malignancy in men worldwide and the fifth leading cause of death by cancer. Although most patients initially benefit from therapy, many of them will progress to metastatic castration-resistant prostate cancer, which still remains incurable. The significant mortality and morbidity rate associated with the progression of the disease results mainly from a lack of specific and sensitive prostate cancer screening systems, identification of the disease at mature stages, and failure of anticancer therapy. To overcome the limitations of conventional imaging and therapeutic strategies for prostate cancer, various types of nanoparticles have been designed and synthesized to selectively target prostate cancer cells without causing toxic side effects to healthy organs. The purpose of this review is to briefly discuss the selection criteria of suitable nanoparticles, ligands, radionuclides, and radiolabelling strategies for the development of nanoparticle-based radioconjugates for targeted imaging and therapy of prostate cancer and to evaluate progress in the field, focusing attention on their design, specificity, and potential for detection and/or therapy.

Nanoparticles in the treatment of malignant neoplasms

The penetration of new technologies into chemistry, biology and medicine has led to the creation of new disciplines - nanotechnology and nanomedicine, branches of science in which the size of the object of study becomes critical. At the same time, the widespread application of nanoparticles in biology and medicine requires an understanding of the fundamental mechanisms of their interaction with biological systems. This is especially important for the development of new methods of treatment and diagnosis with their help. The presented review is devoted to the use of nanoparticles in the treatment of malignant neoplasms and the creation of gene therapy systems based on them. The review considers various types of nanoparticles and features of their effect on malignant neoplasms, methods and techniques for using nanoparticles for the diagnosis and treatment of cancer, as well as related problems and limitations. The characteristics of clinical preparations based on nanoparticles are presented.

A comprehensive investigation of the low-velocity impact response of enhanced GFRP composites with single and hybrid loading of various types of nanoparticles

This study investigates the effects of incorporating various types of nanoparticles, both singularly and in hybrid form, on the low-velocity impact (LVI) response of glass fiber reinforced polymer (GFRP) composites. GFRP composites were fabricated using the hand lay-up method and different weight percentages (wt. %) of multi-walled carbon nanotubes (MWCNT), clay, TiO2, and CuO nanoparticles were added into the matrix of composites. To test the LVI response, 14 types of specimens were fabricated with single and hybrid nanoparticle loadings, and LVI tests were conducted using 5 and 10-cm span dimensions at two levels of subjected energy. The experimental results reveal that specimens with a single loading of MWCNT or nano-clay have a lower maximum contact force compared to pure specimens with fully rebounding behavior. This indicates that neither 5 nor 10 cm spans result in severe damages during the impact tests. Furthermore, incorporating more MWCNTs results in stiffer behavior and more brittleness. The study also explores the synergetic effect of adding hybrid nanoparticles in the fabricated composites and discusses the calculated results for absorbed energy. Finally, scanning electron microscopy (SEM) images are analyzed to evaluate the enhancement mechanisms resulting from the addition of nanoparticles to GFRP composite specimens.

Ecotoxicity of non- and PEG-modified lanthanide-doped nanoparticles in aquatic organisms

Various types of nanoparticles (NPs) have been widely investigated recently and applied in areas such as industry, the energy sector, and medicine, presenting the risk of their release into the environment. The ecotoxicity of NPs depends on several factors such as their shape and surface chemistry. Polyethylene glycol (PEG) is one of the most often used compounds for functionalisation of NP surfaces, and its presence on the surfaces of NPs may affect their ecotoxicity. Therefore, the present study aimed to assess the influence of PEG modification on the toxicity of NPs. As biological model, we chose freshwater microalgae, a macrophyte and invertebrates, which to a considerable extent enable the assessment of the harmfulness of NPs to freshwater biota. SrF2:Yb3+,Er3+ NPs were used to represent the broad group of up-converting NPs, which have been intensively investigated for medical applications. We quantified the effects of the NPs on five freshwater species representing three trophic levels: the green microalgae Raphidocelis subcapitata and Chlorella vulgaris, the macrophyte Lemna minor, the cladoceran Daphnia magna and the cnidarian Hydra viridissima. Overall, H. viridissima was the most sensitive species to NPs, which affected its survival and feeding rate. In this case, PEG-modified NPs were slightly more toxic than bare ones (non-significant results). No effects were observed on the other species exposed to the two NPs at the tested concentrations. The tested NPs were successfully imaged in the body of D. magna using confocal microscopy; both NPs were detected in the D. magna gut. The results obtained reveal that SrF2:Yb3+,Er3+ NPs can be toxic to some aquatic species; however, the structures have low toxicity effects for most of the tested species.

Analysis of various types of nanoparticles for diabetes management: which is the best?

Analysis of various types of nanoparticles for diabetes management: which is the best?

Heat Transfer Enhancement of MHD Natural Convection in a Star-Shaped Enclosure, Using Heated Baffle and MWCNT–Water Nanofluid

Fluids have played and still play a vital role in attaining an optimized output from industrial processes. However, due to technological advancement, fluids with high hydrothermal characteristics are required. In order to overcome these challenges, researchers have developed fluids with dispersed nanoparticles, which are recognized as nanofluids. Various types of nanoparticles can be added to base fluids to produce thermally enhanced liquids. Among these, the addition of multi-walled carbon nanotubes (MWCNTs) is considered the best due to the considerable enhancement of thermophysical properties and the stability of the solution. Thus, in the present investigation, an analysis of the heat transfer characteristics of an MWCNT–water nanofluid included in a star-shaped cavity equipped with a hot rectangular baffle is conducted. In addition, a uniform magnetic field is applied along the x-direction to oppose the convective flow generated by variations in density. Mathematical formulations under assumed boundary conditions and physical assumptions are established in the form of dimensionless PDEs. The finite-element-method-based software “COMSOL” is used to execute the numerical simulations. PARADISO is employed to resolve the developed non-linear system of equations. The effects of the governing parameters on the velocity and temperature fields are presented through streamlines and isotherms. The Nusselt number is evaluated to depict the impact of the addition of nanoparticles (MWCNTs) on the heat transfer enhancement. Changes in the horizontal and vertical components of velocity are also evaluated against the Rayleigh number and nanoparticle volume fraction via cutline representation.