Formation Of Nanoparticles Research Articles

Insecticidal efficacy of green synthesized silver nanoparticles, Bacillus thuringiensis and Triazophos against Pectinophora gossypiella

Pink bollworm (Pectinophora gossypiella) poses a significant threat to cotton crops worldwide, resulting in economic losses surpassing sustainable levels for farmers since 2011. This study examines different approaches to controlling pink bollworm infestations, specifically silver nanoparticles (AgNPs), bio-formulations of Bacillus thuringiensis (Bt), and a commercial insecticide (Triazophos), in both laboratory and field environments. AgNPs were synthesized using neem plant leaf extract (Azadirachta indica). The formation of AgNPs was confirmed through UV-visible spectroscopy, Fourier transform infrared (FTIR) spectroscopy, and a zeta sizer analyzer. In the laboratory, the effectiveness of individual and combined applications of AgNPs, Bt, and Triazophos was tested against 2nd and 4th instar pink bollworm larvae. Mortality rates were measured at 1, 2, and 5 days after application. The results showed that the treatment combining AgNPs and Triazophos (40ppm + 50ppm) achieved a larval mortality rate of over 90%, surpassing the other treatments. In field conditions, the combination of Triazophos and AgNPs at 40ppm (100ml + 50ml) proved most effective in managing P. gossypiella populations. These findings underscore the potential of nanoparticles as efficient larvicidal agents for controlling P. gossypiella. Furthermore, they emphasize the importance of reevaluating past management strategies for cotton crops given emerging alternatives to traditional insecticides. Future research directions may involve further optimizing nanoparticle formulations and investigating their broader ecological impacts on cotton ecosystems.

Synthesis of cefixime loaded PCL/HPMC blend nanoparticles: a controlled release study and in vitro anti-bacterial evaluation

Aim To enhance cefixime’s effectiveness and address drug delivery challenges like concentration at the site, dose, and time, present study investigated the impact of polymer blends on cefixime’s in vitro release profile. Methods Cefixime-loaded nanoparticles were prepared via a modified solvent evaporation method, forming a W/O/W double emulsion. Characterisation included FT-IR, zeta potential, TGA, TEM, and XRD, with in vitro studies and kinetic models used to analyse the release mechanism. Results The PH-4 nanoparticle formulation (80:20 PCL/HPMC, 0.5% PVA) achieved an 81% loading rate, no adverse effects, and a controlled release of 84.66%±2.53 over 30 days. It showed stable physicochemical properties, with in vitro antibacterial tests revealing inhibition zones of 27.4 ± 2.12 mm for E. coli and 17.2 ± 2.23 mm for S. aureus at 12 hours. Conclusion Based on the findings, developed nanoparticulate system containing PCL/HPMC demonstrates its efficacy and safety as a controlled drug delivery method for antibiotics like cefixime.

SILVER NANOPARTICLES-AQUEOUS LEAF EXTRACT OF SIDAGURI (SIDA RHOMBIFOLIA) AS REDUCING AGENTS

The Sidaguri leaf, scientifically known as Sida rhombifolia, is a plant species rich in flavonoids that have the ability to act as reducing agent in formation of silver nanoparticles. This study presented the synthesis of silver nanoparticles (AgNp-Sid) using aqueous leaf extract of sidaguri. This study utilized a concentration ratio of 2:90 mL aqueous leaf extract of Sidaguri and AgNO3 1 mM. The size and morphology of AgNp-Sid was measured using UV-Visible Spectrophotometer, PSA, FT-IR, SEM-EDS, and XRD. The investigation revealed an ordinary particle size of 63.5 nm with polydispersity index (PI) of 0.284. The maximum wavelength varies between 405.4 nm and 407.8 nm with the increasing of time. AgNp-Sid exhibited a spherical morphology and had a crystalline structure that is face-centered cubic. The results suggested that the aqueous leaf extract of sidaguri had the ability to function as a reducing agent in the synthesis of silver nanoparticles, offering a safe, cost-effective, and environmentally friendly alternative.

Base-editing corrects metabolic abnormalities in a humanized mouse model for glycogen storage disease type-Ia

Glycogen storage disease type-Ia patients, deficient in the G6PC1 gene encoding glucose-6-phosphatase-α, lack blood glucose control, resulting in life-threatening hypoglycemia. Here we show our humanized mouse model, huR83C, carrying the pathogenic G6PC1-R83C variant displays the phenotype of glycogen storage disease type-Ia and dies prematurely. We evaluate the efficacy of BEAM-301, a formulation of lipid nanoparticles containing a newly-engineered adenine base editor, to correct the G6PC1-R83C variant in huR83C mice and monitor phenotypic correction through one year. BEAM-301 can correct up to ~60% of the G6PC1-R83C variant in liver cells, restores blood glucose control, improves metabolic abnormalities of the disease, and confers long-term survival to the mice. Interestingly, just ~10% base correction is therapeutic. The durable pharmacological efficacy of base editing in huR83C mice supports the development of BEAM-301 as a potential therapeutic for homozygous and compound heterozygous glycogen storage disease type-Ia patients carrying the G6PC1-R83C variant.

Enhanced delivery of rivastigmine for Alzheimer's disease: Convolvulus pluricaulis lipid hybrid nanoparticles

The study investigates the formulation and characterization of polymeric lipid hybrid nanoparticles (PLHNs) for targeted delivery of Rivastigmine and Convolvulus pluricaulis (C. pluricaulis, Shankhpushpi) extract to the brain. Employing a modified film hydration technique, PLHNs were optimized by adjusting lipid-to-polymer ratios, achieving nanoparticles with optimal size, zeta potential, and entrapment efficiency. The resulting nanoparticles, with sizes between approximately 150–225 nm, exhibited excellent physical stability and encapsulation efficiencies. Characterization through transmission electron microscopy (TEM) and scanning electron microscopy (SEM) confirmed their spherical and smooth morphology. Fourier-transform infrared (FTIR) spectroscopy and differential scanning calorimetry (DSC) analyses showed no significant interactions between the drug, polymer, and plant extract, ensuring formulation stability. In vitro release studies demonstrated a controlled and sustained drug release, with the optimal formulation showing substantial release over 24 hours. The novel object recognition (NOR) test indicated enhanced cognitive function in animals treated with the optimal formulation, suggesting effective brain targeting and neuroprotective activity. Biochemical analyses supported these findings, revealing significant improvements in antioxidant enzyme levels and reductions in oxidative stress markers in treated animals. This study underscores the potential of PLHNs to enhance the delivery of neuroprotective agents, offering a promising strategy for treating neurodegenerative diseases.

Double Hydrophilic Hyperbranched Copolymer-Based Lipomer Nanoparticles: Copolymer Synthesis and Co-Assembly Studies

Double hydrophilic, random, hyperbranched copolymers were synthesized via reversible addition–fragmentation chain transfer (RAFT) polymerization of oligo(ethylene glycol) methyl ether methacrylate (OEGMA) and 2-(dimethylamino)ethyl methacrylate (DMAEMA) utilizing ethylene glycol dimethacrylate (EGDMA) as the branching agent. The resulting copolymers were characterized in terms of their molecular weight and dispersity using size exclusion chromatography (SEC), and their chemical structure was confirmed using FT-IR and 1H-NMR spectroscopy techniques. The choice of the two hydrophilic blocks and the design of the macromolecular structure allowed the formation of self-assembled nanoparticles, partially due to the pH-responsive character of the DMAEMA segments and their interaction with -COOH end groups remaining from the chain transfer agent. The copolymers showed pH-responsive properties, mainly due to the protonation–deprotonation equilibria of the DMAEMA segments. Subsequently, a nanoscopic polymer–lipid (lipomer) mixed system was formulated by complexing the synthesized copolymers with cosmetic amphiphilic emulsifiers, specifically glyceryl stearate (GS) and glyceryl stearate citrate (GSC). This study aims to show that developing lipid–polymer hybrid nanoparticles can effectively address the limitations of both liposomes and polymeric nanoparticles. The effects of varying the ionic strength and pH on stimuli-sensitive polymeric and mixed polymer–lipid nanostructures were thoroughly investigated. To achieve this, the structural properties of the hybrid nanoparticles were comprehensively characterized using physicochemical techniques providing insights into their size distribution and stability.

Surface different charge ligands for modulating selenium nanoparticles formation and activating the interaction with proteins for effective anti-Herpes simplex virus l infection.

Selenium-based nanoparticles (Se NPs) exhibit antiviral activity by directly modulating immune function. Despite recent promising developments in utilizing Se NPs against viral infections, the impact of surface ligand charge on the conformation and interaction with viral proteins, as well as the effectiveness of Se NPs in anti-Herpes simplex virus 1 (HSV-1) infection remains unexplored. In this study, three types of selenium nanoparticles (CTAB-Se, PVP-Se, SDS-Se) with distinct surface charges were synthesized by modifying the surface ligands. We found that apart from differences in surface charge, the size, morphology, and crystal structure of the three types of Se NPs were similar. Notably, although the lipophilicity and cellular uptake of SDS-Se with a negative charge were lower compared to positively charged CTAB-Se and neutrally charged PVP-Se, SDS-Se exhibited the strongest protein binding force during interaction with HSV-1. Consequently, SDS-Se demonstrated the most potent anti-HSV-1 activity and safeguarded normal cells from damage. The mechanistic investigation further revealed that SDS-Se NPs effectively inhibited the proliferation and assembly of HSV-1 by powerfully suppressing the key genes and proteins of HSV-1 at various stages of viral development. Hence, this study highlights the significant role of surface ligand engineering in the antiviral activity of Se NPs, presenting a viable approach for synthesizing Se NPs with tailored antiviral properties by modulating surface charge. This method holds promise for advancing research on the antiviral capabilities of Se NPs.

Modeling the Production of Nanoparticles via Detonation—Application to Alumina Production from ANFO Aluminized Emulsions

This paper investigates the production of nanoparticles via detonation. To extract valuable knowledge regarding this route, a phenomenological model of the process is developed and simulated. This framework integrates the mathematical description of the detonation with a model representing the particulate phenomena. The detonation process is simulated using a combination of a thermochemical code to determine the Chapman–Jouguet (C-J) conditions, coupled with an approximate spatially homogeneous model that describes the radial expansion of the detonation matrix. The conditions at the C-J point serve as initial conditions for the detonation dynamic model. The Mie–Grüneisen Equation of State (EoS) is used, with the “cold curve” represented by the Jones–Wilkins–Lee Equation of State. The particulate phenomena, representing the formation of metallic oxide nanoparticles from liquid droplets, are described by a Population Balance Equation (PBE) that accounts for the coalescence and coagulation mechanisms. The variables associated with detonation dynamics interact with the kernels of both phenomena. The numerical approach employed to handle the PBE relies on spatial discretization based on a fixed-pivot scheme. The dynamic solution of the models representing both processes is evolved with time using a Differential-Algebraic Equation (DAE) implicit solver. The strategy is applied to simulate the production of alumina nanoparticles from Ammonium Nitrate Fuel Oil aluminized emulsions. The results show good agreement with the literature and experience-based knowledge, demonstrating the tool’s potential in advancing understanding of the detonation route.

Fe3O4@Pectin@Acetamide for Magnetic Solid Phase Extraction of Some Parabens in Cosmetic Samples and Their Quantification by High‐Performance Liquid Chromatography‐Ultraviolet Detection

ABSTRACTIn this project, the in‐situ formation of magnetic nanoparticles modified with pectin and acetamide was presented and used as a sorbent in the magnetic solid‐phase extraction method. The synthesis of the magnetic sorbent was studied by various characterization methods. The sorbent was employed for the microextraction of four model analytes including methyl paraben, ethyl paraben, propyl paraben, and butyl paraben. The separation and measurement of the extracted compounds were done by high‐performance liquid chromatography‐ultraviolet detection. In order to achieve the best extraction condition, factors affecting the extraction efficiency were investigated and optimized using response surface methodology. In the obtained optimized condition, the following parameters were achieved: limits of detection: 0.16–0.28 µg/L, limits of quantification: 0.49–0.92 µg/L, and intra‐ and inter‐day relative standard deviations: 1.2%–6.6% and 1.6%–4.8%, respectively. The linear dynamic ranges of the method for methyl paraben, ethyl paraben, butyl paraben, and propyl paraben were 1–200, 0.5–500, 1–500, and 1–500 µg/L, respectively. In order to investigate the effectiveness of the method, the proposed magnetic nanosorbent was used to measure the desired parabens in cosmetic samples. The results showed good accuracy and precision of the developed method for the determination of trace amounts of target analytes.

Evaluation of Antibacterial Activity of Bismuth Ferrites Nanoparticles in the Inhibition of E. Coli and S. Aureus Bacteria.

In this work, bismuth ferrites (BFO) nanoparticles were produced in the form of using sol-gel technique, followed by annealing in a tube furnace in temperatures from 400 °C to 650 °C. X-ray diffraction (XRD) results showed the formation of small sizes nanoparticles (NPs) with high purity. Structural analysis displayed that annealing at 600 °C could make BFO NPs be fitted to rhombohedral space group (R3c), with small quantity of spurious phases. The sizes of the BFO nanoparticles determined by transmission electron microscopy (HRTEM) are between 50 to 100 nm. To evaluate the efficiency of BFO in antimicrobial susceptibility tests, the nanoparticles were dispersed through cand tested agar diffusion method and dilution in a 96 well plate using a Gram-positive strains (Staphylococcus aureus) and Gram negative strain (Escherichia coli). The antibacterial activity of the BFO NPs was tested at concentrations of 2 mg/mL with MIC greater than 60 μg/mL for both bacteria.

Study on Characterization of SrO Aerosols Generated by Optimized Thermal Plasma Torch Aerosol Generator

AbstractPlasma Torch Aerosol Generation System (PTAGS) has been employed to generate nano aerosols with desirable characteristics. The operational parameters of PTAGS installed in the aerosol test facility have been optimized, and aerosols are generated using non-radioactive SrO2 powder. The current-voltage characteristics, electro-thermal efficiency and torch power are studied as a function of the flow rate of the plasma-generating gas (mixture of argon and nitrogen) and the arc current of the plasma torch. The relation of arc characteristics is determined using the Nottingham formulation. Based on this, torch parameters evolved and optimized as 20 kW power, 70% electro-thermal efficiency, 25 L min− 1 flow rate of plasma forming gas, 5 mg min− 1 powder feed rate and for 4–5 min torch operation towards the generation of SrO nano aerosols to achieve 1012 m− 3 and ~ 25 mg m− 3 for the count and mass concentration of aerosol respectively. The initial size distribution of the aerosols is in the few tens of nanometre range (10–40 nm) with a mean diameter of 26 nm (σg = 1.45). Scanning Electron Microscope and Energy dispersive X-ray analysis revealed that the morphology of nano aerosols was nearly spherical and the formation of SrO nanoparticles. A set of PTAGS operational parameters has been standardized to perform further experiments related to reactor safety analysis. PTAGS shall be tuned for aerosol generation in a large facility to achieve the characteristics equivalent to reactor accidental conditions.

Photocatalytic Degradation of Four Organic Dyes Present in Water Using ZnO Nanoparticles Synthesized with Green Synthesis Using Ambrosia ambrosioides Leaf and Root Extract

Currently, several organic dyes found in wastewater cause severe contamination problems for flora, fauna, and people in direct contact with them. This research proposes an alternative for the degradation of polluting dyes using ZnO nanoparticles (NPs) synthesized by an ecological route using leaf and root extracts of Ambrosia ambrosioides as a reducing agent (with a weight/volume ratio = 4%). Scanning Electron Microscopy (SEM) was used to determine the morphology, showing an agglomeration of cluster-shaped NPs. Using Transmission Electron Microscopy (TEM), different sizes of NPs ranging from 5 to 56 nm were observed for both synthesized NPs. The composition and structure of the nanomaterial were analyzed by infrared spectroscopy (FT-IR) and X-ray diffraction (XRD), showing as a result that the NPs have a wurtzite-like crystalline structure with crystallite sizes around 32–37 nm for both samples. Additionally, the bandgap of the NPs was calculated using Ultraviolet Visible Spectroscopy (UV–Vis), determining values of 2.82 and 2.70 eV for the NPs synthesized with leaf and root, respectively. Finally, thermogravimetric analysis demonstrated that the nanoparticles contained an organic part after the green synthesis process, with high thermal stability for both samples. Photocatalytic analysis showed that these nanomaterials can degrade four dyes under UV irradiation, reaching 90% degradation for methylene blue (MB), methyl orange (MO) and Congo red (CR) at 60, 100 and 60 min, respectively, while for methyl red (MR) almost 90% degradation was achieved at 140 min of UV irradiation. These results demonstrate that it is effective to use Ambrosia ambrosioides root and leaf extracts as a reducing agent for the formation of ZnO NPs, also evidencing their favorable application in the photocatalytic degradation of these four organic dyes.

Production of cost-effective green energy using Mn/Gd co-substituted cobalt ferrites hydroelectric cells and their oxygen evolution reaction

A thorough investigation into hydroelectric cells (HECs) composed of spinel ferrites, aiming to generate environmentally friendly electricity through the dissociation of water molecules into H3O+ and OH- ions without producing any harmful by-products has been reported. Utilizing a modified sol-gel auto-combustion synthesis method, we synthesized highly porous Mn2+/Gd3+ co-substituted cobalt ferrites (CFO) with the formula) [Co1-xMnxFe2-yGdyO4, 0≤x≤0.30 and y = 0.10]. X-ray diffraction (XRD) analysis revealed a singular-phase cubic structure, while Rietveld refinement provided essential parameters such as crystallite size, lattice constant, density, porosity percentage, and unit-cell volume. Morphological examination using Field emission scanning electron microscopy (FESEM) confirmed nanoparticle formation with an average size of 60.418 nm, and porosity increasing from 30 % to 51 % with Mn2+ ion doping, indicating enhanced water adsorption. XPS analysis highlighted increased lattice defects due to Mn/Gd co-substitution, boosting water adsorption capacity. Vibrating Sample Measurements showed a rise in Ms value with increasing Mn2+ concentration. Fabricated HECs delivered a maximum output current density of 13.906 mA/cm2, with 20 % Mn-substituted gadolinium cobalt ferrites-based HEC achieved a peak short-circuit current of 9.16 mA. These cells exhibited pseudo-capacitive behaviour, characterized by rapid and reversible faradaic reactions near electrode surfaces, while ionic diffusion mechanisms confirmed ion diffusion over the material's surface. Co1-xMnxGd0.1Fe1.9O4 (x = 0.20) is the optimal composition to get best OER performance having an overpotential of 342 mV at 10 mA/cm2 with a Tafel slope of 48 mV/dec in alkaline medium. This study underscores the potential of Mn2+/Gd3+ co-substituted cobalt ferrite as a promising alternative in green energy conversion applications, potentially replacing conventional fuel and solar cells. It has been concluded that the x = 0.20 is the composition that exhibits the best OER as well as HEC performance.

Growth of Surface Oxide Layers on Dendritic Cu Particles by Wet Treatment and Enhancement of Sinter-Bondability by Using Cu Paste Containing the Particles

Pastes were prepared using dendritic Cu particles as fillers, and a compression die attachment process was implemented to establish a pure Cu joint using low-cost materials and high-speed sinter bonding. We aimed to grow an oxidation layer on the particle surface to improve sinter-bondability. Because the growth of the oxidation layer by general thermal oxidation methods makes it difficult to use as a filler owing to agglomeration between particles, we induced oxidation growth by wet surface treatment. Consequently, when the oxidation layer was appropriately grown by surface treatment using an acetic acid–ethanol solution, we obtained an improved joint strength, approximately 2.8 times higher than the existing excellent result based on a bonding time of 10 s. The joint formed in just 10 s at 300 °C in the air under 10 MPa compression showed a shear strength of 28.4 MPa. When the bonding time was increased to 60 s, the joint exhibited a higher strength (35.1 MPa) and a very dense microstructure without voids. These results were attributed to the acceleration of sintering by the in situ formation of more Cu nanoparticles, which effectively reduced the increased oxide layers in the particles using a reducing solvent.

Green chemistry approach to synthesize titanium dioxide nanoparticles using Fagonia Cretica extract, novel strategy for developing antimicrobial and antidiabetic therapies

Abstract This groundbreaking study explores the eco-friendly production of titanium dioxide nanoparticles (TiO2 NPs) to investigate their impact on health. TiO2 NPs were synthesized utilizing a plant extract from Fagonia cretica, acting as both stabilizers and reducers. Various techniques, including energy dispersive X-ray (EDX), Fourier transform infrared spectroscopy (FT-IR), scanning electron microscopy (SEM), UV-Vis, and X-ray diffraction (XRD), were employed to analyze the synthesized TiO2 NPs. FT-IR revealed functional groups crucial for nanoparticle (NP) formation. SEM confirmed the particle size of synthesized TiO2 NPs, ranging from 20 to 80 nm. XRD analysis highlighted the rutile phase crystalline structure, and EDX determined the elemental composition of TiO2 NPs. These NPs displayed potent antimicrobial properties, proving toxic to bacterial and the fungal strains at 50 µg·mL−1 concentration. Impressively, TiO2 NPs showcased significant antidiabetic effects in adult male albino mice, effectively reducing Streptozotocin-induced hyperglycemia and hypercholesterolemia by the improvement in behavior via random blood glucose, triglyceride, low density lipoproteins, high density lipoprteins, very low density lipoproteins, and GTT pathway at 100 and 200 µL. Furthermore, they exhibited a remarkable impact on human liver cancer cell lines, with a 43.2% reduction in cell viability at 100 µg·mL−1 concentration. In essence, the study highlights TiO2 NPs as a safe, natural therapeutic agent with immense potential in diabetes treatment. The MTT assay was utilized to assess their cytotoxicity and biocompatibility, affirming their promising role in healthcare.

Optimising the production of PLGA nanoparticles by combining design of experiment and machine learning

Poly(lactic-co-glycolic acid) (PLGA) is a widely used biodegradable polymer in drug delivery and nanoparticle (NP) formulation due to its controlled drug release properties and safety profiles. Among the methods available for NP production, nanoprecipitation is distinguished by its simplicity and scalability. However, it requires careful optimisation to achieve the desired NP characteristics, making the process potentially lengthy and costly. This study aimed to assess and compare the predictive performance of Design of Experiments (DOE) and Machine Learning (ML) models for the optimisation of PLGA nanoparticle size and zeta potential produced by nanoprecipitation. Various ML methods were employed to predict particle size, with Extreme Gradient Boosting (XGBoost) identified as the best performing. The key finding is that integrating ML with DOE provides deeper insights into the dataset than either method alone. While ML outperformed DOE in predictive performance, as evidenced by lower root mean squared error values and higher coefficients of determination, both methods struggled to accurately predict zeta potential, generating models with high errors. However, ML proved more effective in identifying the parameters that most significantly influence NP size, even with a smaller DOE dataset. Combining DOE datasets with ML for parameter importance was particularly advantageous in situations where data is limited, offering superior predictive power and the potential to streamline experimental design and optimisation. These results suggest that the synergistic use of ML and DOE can lead to more robust feature analysis and improved optimisation outcomes, particularly for NP size. This integrated approach can enhance the accuracy of predictions and supports more efficient experimental design, streamlining nanoparticle production processes, especially under resource-constrained conditions.

Preparation and characterization of micellar nanoparticles using crude saponins from five Congolese plant species

Nanoparticles (NPs) have significantly advanced medical applications, including drug delivery, immunotherapy, vaccines, and diagnostics. This versatility is partly due to the potential of tailoring NPs from multiple sources. Notably, saponins, amphiphilic plant metabolites, have shown great promise in NP formulation. This study explored the development of micellar NPs using saponin crude fractions (SCFs) extracted from five Congolese plant species: Millettia laurentii, Penthaclethra eetveldeana, Schwenckia americana, Musa paradisiaca, and Musa sapientum. Plant materials were subjected to histological examination through optical microscopy, while phytochemical analyses by thin-layer chromatography confirmed the presence and predominance of saponins in the SCFs. We used a phthalocyanine-isoniazid hybrid (Pc-INH) as a hydrophobic probe to determine the critical micellar concentrations of SCFs and explore the feasibility of developing cost-effective saponin-based micelles (SBMs). Phytochemical screenings indicated saponins in the extracted SCF and other metabolites like flavonoids, phenolic acids, and anthocyanins. Dynamic light scattering and transmission electron microscopy analyses revealed the formation of nano-sized particles, particularly noting SBMs from P. eetveldeana with notable dimensions (157 nm, PDI of 0.27, and ZP of -4.01 mV) and spherical shape. The micelles from M. laurentii exhibited superior encapsulation efficiency for Pc-INH (55%) compared to control micelles formulated from pure saponin (33%). In vitro tests showed that M. paradisiaca SBMs have the best safety profile for red blood cells, with a 10% hemolysis rate compared to a 150% rate for bulk SCFs. However, there is a significant difference between SCFs and SBMs (p < 0.0001). The release profiles of M. paradisiaca SBMs show a pH-dependent relationship, suggesting potential for stimuli-responsive drug delivery. This work lays the foundation for leveraging plant-derived crude saponins in nanotechnology, emphazising their encapsulation efficiency, controlled release potential, and biocompatibility, paving the way for the cost-effective production of high-value biomedical NPs.

Overview of Cancer and Treatment Challenges: Harnessing the Anti-cancer Potential of Jasminum Sambac and its Nanoparticle Formulations

Overview of Cancer and Treatment Challenges: Harnessing the Anti-cancer Potential of Jasminum Sambac and its Nanoparticle Formulations

Green Synthesis, Characterization, and Catalytic Applications of CuO Nanoparticles Using Prosopis Cineraria Seed Extract

Abstract The current study used a seed extract of Prosopis cineraria as a stabilizing and reducing agent to produce CuO nanoparticles via an easy, low-cost, affordable, and environmentally friendly synthesis process. The formation of copper oxide nanoparticles and the maximum absorbance of the CuO nanoparticles produced in the solution at 565 nm were verified by UV-vis. Copper oxide nanoparticles were found to have secondary metabolites on their surface, as shown by a distinctive Cu-O stretching band at 532 cm−1, which confirmed the reduced Cu2+ ions in copper oxide nanoparticles. This was confirmed by FTIR analysis. The XRD analysis confirmed the produced copper oxide nanoparticles’ monoclinic crystalline nanostructure with an average particle size of 34 nm. The phytonutrients in Prosopis cineraria seed extract stabilized and reduced copper, as demonstrated by the existence of copper and oxygen atoms at 85.2% and 12.5%, respectively, as demonstrated by SEM-EDX analysis. According to the HR-TEM study, copper oxide nanoparticles with a mean size of 18 nm are spherical in shape and well distributed. Prosopis cineraria seed extract-derived copper oxide nanoparticles were utilized as a catalyst in the Ullmann process to produce diphenyl ether. CuO nanoparticles produced by Prosopis cineraria seed extraction as a catalyst yielded 91% diphenyl ether. The results showed that a more ecologically friendly way of synthesizing copper oxide nanoparticles with great homogeneity of particle sizes could be achieved using seed extract. This work aims to facilitate heterogeneous catalysis from CuO nanoparticles utilising Prosopis cineraria seed extract. Overall, this technique offers several advantages, like high yields at fast reaction times, and low catalyst loading are just a few of this approach’s many benefits.

Rational design of nitrogen-doped carbon for palladium catalysts in hydrogenation of hydrazo compounds

We synthesized CN11, a carbon nitride material rich in sp3 hybrid graphitic nitrogen (sp3-N), employing a facile oxalic acid-assisted melamine molecular assembly strategy. CN11 promoted the formation of Pd nanoparticles (NPs) predominantly exposing {200} facets, termed Pd/CN11-2. This facet-specific configuration significantly boosted hydrogen adsorption, leading to notable improvements in catalytic activity. Compared to Pd/XC-72-2 and Pd/g-C3N4-2, Pd/CN11-2 exhibited a remarkable two-fold and nineteen-fold increase in catalytic yield for hydrazo compound hydrogenation, respectively. Pd/CN11-2 also demonstrated robust performance across a range of reaction conditions, maintaining excellent yield. This study emphasizes the critical role of tailored support structures in controlling Pd NPs facets, thereby enhancing hydrogenation efficiency. It provides valuable insights for advancing the industrial application of Pd-based catalysts, underscoring the importance of strategic support modulation for optimizing catalytic performance.