Taguchi-Assisted Optimization Technique and Density Functional Theory for Green Synthesis of a Novel Cu-MOF Derived From Caffeic Acid and Its Anticancerious Activities

In this paper, we have reported an innovative greener method for developing copper-metal organic frameworks (Cu-MOFs) using caffeic acid (CA) as a linker extracted from Satureja hortensis using ultrasonic bath. The density functional theory is used to discuss the Cu-MOF-binding reaction mechanism. In order to achieve a discrepancy between the energy levels of the interactive precursor orbitals, the molecules have been optimized using the B3LYP/6–31G method. The Taguchi method was used to optimize the key parameters for the synthesis of Cu-MOF. FT-IR, XRD, nitrogen adsorption, and SEM analyses are used to characterize it. The adsorption/desorption and SEM analyses suggested that Cu-MOF has a larger surface area of 284.94 m2/g with high porosity. Cu-MOF has shown anticancer activities against the human breast cancer (MDA-MB-468) cell lines, and it could be a potent candidate for clinical applications

An Efficient Ultrasound-Assisted Synthesis of Cu/Zn Hybrid MOF Nanostructures With High Microbial Strain Performance

Metal organic frameworks (MOFs) are a promising choice for antibacterial and antifungal activity due to their composition, unique architecture, and larger surface area. Herein, the ultrasonic method was used to synthesize the Cu/Zn-MOF material as an effective hybrid nanostructure with ideal properties. SEM images were used to investigate the product’s morphology and particle size distribution. The XRD pattern revealed that the Cu/Zn hybrid MOF nanostructures had a smaller crystalline size distribution than pure Cu and Zn-MOF samples. Furthermore, the BET technique determined that the hybrid MOF nanostructures had a high specific surface area. TG analysis revealed that the hybrid MOF structures were more thermally stable than pure samples. The final product, with remarkable properties, was used as a new option in the field of antibacterial studies. Antibacterial activity was assessed using MIC and MBC against Gram negative and Gram positive strains, as well as antifungal activity using MIC and MFC. The antimicrobial properties of the synthesized Cu/Zn hybrid MOF nanostructures revealed that they were more effective than commercial drugs in some cases. This study’s protocol could be a new strategy for introducing new hybrid nanostructures with specific applications

Fabrication of Fibrous Materials Based on Cyclodextrin and Egg Shell Waste as an Affordable Composite for Dental Applications

In this study, the fibrous nanostructures based on cyclodextrin from egg shell waste were fabricated using electrospinning technique under optimal conditions. Scanning electron microscopy (SEM), thermal stability analysis and abrasion testing were used to characterise the final products. The cyclodextrin nanofibrous products were used as new nanostructures in the field of dental coatings due to the obtained properties such as uniform shape, small particle size distribution, high thermal stability and optimal abrasion resistance. The DFT calculations confirmed the chemical stability of the final products. The MTT test results confirmed that the fibrous nanocoatings of the egg shell have no significant side effects on healthy cells. These fibrous nanostructures could be a promising candidate for use as a dental nanocoating material

Antibacterial smart hydrogels: New hope for infectious wound management

Millions of people die annually due to uncured wound infections. Healthcare systems incur high costs to treat wound infections. Tt is predicted to become more challenging due to the rise of multidrug-resistant conditions. During the last decades, smart antibacterial hydrogels could attract attention as a promising solution, especially for skin wound infections. These antibacterial hydrogels are termed 'smart' due to their response to specific physical and chemical environmental stimuli. To deliver different drugs to particular sites in a controlled manner, various types of crosslinking strategies are used in the manufacturing process. Smart hydrogels are designed to provide antimicrobial agents to the infected sites or are built from polymers with inherent disinfectant properties. This paper aims to critically review recent pre-clinical and clinical advances in using smart hydrogels against skin wound infections and propose the next best thing for future trends. For this purpose, an introduction to skin wound healing and disease is presented and intelligent hydrogels responding to different stimuli are introduced. Finally, the most promising investigations are discussed in their related sections. These studies can pave the way for producing new biomaterials with clinical applications

Model-free thermal degradation kinetics of bio-based phenolic resin derived from vanillin oxime

193-198A new terpolymer resin is synthesized from vanillin oxime and p-bromoacetophenone with formaldehyde by solution condensation technique in the presence of an acid. The structure of the terpolymer resin is confirmed by IR and NMR spectroscopy. The average molecular weight and the polydispersity index for the terpolymer are found to be 12,852 g/mol and 2.65 as calculated by gel permeation chromatography. The phase transition temperature (102-214 °C) has been determined by differential scanning calorimetry (DSC).  Thermal degradation characterstics and kinetic parameters such as activation energy are investigated by TG-DTG. The apparent activation energy of terpolymer resin using Kissinger-Akahira-Sunose, and Friedman methods are 10.2 and 10.8 kJ mol−1, respectively. The most likely solid state decomposition process is D3 deceleration type as shown by Craido method and master plots. </span

Copper pyrovanadate as an effective photo-Fenton-like catalyst for degradation of methylene blue

1057-1061Visible light-based photo-Fenton-like catalytic performance of Cu3V2(OH)2O7.2H2O is investigated using methylene blue as the target pollutant. Specific surface area, structure, and particle size distribution of the catalysts and its components are investigated by techniques such as standard Brunauer-Emmett-Teller isotherms, X-ray diffraction, scanning electron microscope and <span style="font-size:9.0pt; mso-fareast-font-family:GulliverRM;mso-bidi-font-family:" times="" new="" roman";="" mso-ansi-language:en-us;mso-bidi-language:ar-sa"="" lang="EN-US">energy dispersive X-ray spectroscopy<span style="font-size:9.0pt; mso-bidi-font-family:" times="" new="" roman";mso-ansi-language:en-us;mso-bidi-language:="" ar-sa"="" lang="EN-US"> Under optimized conditions in the Cu3V2(OH)2O7.2H2O-H2O2-visible light system, the degradation efficiency and the pseudo first-order rate constant are found to be 69.07% and 4.23×10-4 s-1 respectively. The new bifunctional material is found to be a promising material for use as a Fenton-like catalyst for the degradation of organic contaminant in waste water. Copper and vanadium leaching from the catalyst is almost negligible, which demonstrates the stability of the catalyst; the catalyst is very stable and can be reused for at least four cycles when operated under near neutral pH. </span

Nanomaterials supported by polymers for tissue engineering applications: A review

In the biomedical sciences, particularly in wound healing, tissue engineering, and regenerative medicine, the development of natural-based biomaterials as a carrier has revealed a wide range of advantages. Tissue engineering is one of the therapeutic approaches used to replace damaged tissue. Polymers have received a lot of attention for their beneficial interactions with cells, but they have some drawbacks, such as poor mechanical properties. Due to their relatively large surface area, nanoparticles can cause significant changes in polymers and improve their mechanical properties. The nanoparticles incorporated into biomaterial scaffolds have been associated with positive effects on cell adhesion, viability, proliferation, and migration in the majority of studies. This review paper discusses recent applications of polymer-nanoparticle composites in the development of tissue engineering scaffolds, as well as the effects of these nanomaterials in the fields of cardiovascular, neural, bone, and skin tissue engineering

Synthesis and Characterization of Ch-PANI-Fe₂O₃ Nanocomposite and Its Water Remediation Applications

Using the batch adsorption technique, an eco-friendly polymer composite made of chitosan, polyaniline, and iron (III) oxide was developed for removal of dye contamination from wastewater. Ultraviolet-visible spectroscopy (UV-Vis), Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), X-ray diffraction (XRD), transmission electron microscopy (TEM), EDX (energy dispersive X-ray analysis), and thermogravimetric-derived thermogravimetric (TG-DTG) techniques were used to characterize the sample. According to EDX, the Ch-PANI-Fe2O3 hybrid composite has the following weight ratios: C 34.25%, N 0.48%, O 50.51%, and Fe 3.08%. The nanocomposite’s surface was rough with pleats, which was evident from the SEM and TEM images. This surface structure likely contributed to the nanocomposite’s higher dye adsorption rate (91.5%). According to SEM analysis, the proportion of Fe2O3 nanoparticles to the chitosan–polyaniline composite changed the hybrids’ morphology from granular to an irregular, globular-like structure, which was supported by EDX. The results demonstrated that this polymer matrix (chitosan-PANI-Fe2O3) nanocomposite can be employed as an adsorbent for the effective removal of methyl orange dye, as well as for the removal of dye contamination from wastewater with reusability

Synthesis and Characterization of Ch-PANI-Fe2O3 Nanocomposite and Its Water Remediation Applications

Using the batch adsorption technique, an eco-friendly polymer composite made of chitosan, polyaniline, and iron (III) oxide was developed for removal of dye contamination from wastewater. Ultraviolet-visible spectroscopy (UV-Vis), Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), X-ray diffraction (XRD), transmission electron microscopy (TEM), EDX (energy dispersive X-ray analysis), and thermogravimetric-derived thermogravimetric (TG-DTG) techniques were used to characterize the sample. According to EDX, the Ch-PANI-Fe2O3 hybrid composite has the following weight ratios: C 34.25%, N 0.48%, O 50.51%, and Fe 3.08%. The nanocomposite&rsquo;s surface was rough with pleats, which was evident from the SEM and TEM images. This surface structure likely contributed to the nanocomposite&rsquo;s higher dye adsorption rate (91.5%). According to SEM analysis, the proportion of Fe2O3 nanoparticles to the chitosan&ndash;polyaniline composite changed the hybrids&rsquo; morphology from granular to an irregular, globular-like structure, which was supported by EDX. The results demonstrated that this polymer matrix (chitosan-PANI-Fe2O3) nanocomposite can be employed as an adsorbent for the effective removal of methyl orange dye, as well as for the removal of dye contamination from wastewater with reusability

Gene Expression Programming Model for Tribological Behavior of Novel SiC–ZrO₂–Al Hybrid Composites

In order to improve product format quality and material flexibility, variety of application, and cost-effectiveness, SiC, ZrO2, and Al hybrid composites were manufactured in the research utilizing the powder metallurgy (PM) technique. A model was created to predict the tribological behavior of SiC–ZrO2–Al hybrid composites using statistical data analysis and gene expression programming (GEP) based on artificial intelligence. For the purpose of examining the impact of zirconia concentration, sliding distance, and applied stress on the wear behavior of hybrid composites, a comprehensive factor design of experiments was used. The developed GEP model was sufficiently robust to achieve extremely high accuracy in the prediction of the determine coefficient (R2), the root mean square error (RMSE), and the root relative square error (RRSE). The maximum state of the RMSE was 0.4357 for the GEP-1 (w1) model and the lowest state was 0.7591 for the GEP-4 (w1) model, while the maximum state of the RRSE was 0.4357 for the GEP-1 (w1) model and the minimum state was 0.3115 for the GEP-3 model (w1)