THE UTILIZATION OF POLYDOPAMINE INTERLAYER TO ADD SILVER NANOPARTICLES (AGNPS) TO PET FABRICS

Silver nanoparticles are structures used in many areas such as antibacterial materials, increasing conductivity, and wastewater treatment, etc. In recent years, demand for their use in textile products has been increasing. Starting from this point, this study aimed to produce silver nanoparticles on the surface of PET fabric in order to meet the different properties expected from silver. For this purpose, polydopamine coating was applied on PET fabric by in situ polymerization. Then, fabric structures containing polydopamine and silver nanoparticles were obtained with a reduction reaction of three different molarity silver nitrate salts. The after washing condition of the fabric with the highest produced amount of silver nanoparticles was examined. Spectrophotometric color measurement, FT-IR, SEM and EDX techniques were performed. The best results were obtained on the fabric where silver nitrate was applied at 50 mM. The amount of silver nanoparticles in this fabric was measured as 1.35% after washing.

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In-Situ Functionalization of Cotton Fabrics with Polydopamine and Silver Nanoparticles for Multifunctional Applications

This study presents a sustainable approach to enhance cotton fabrics with multifunctional properties by in-situ functionalization using polydopamine (PDA) coating followed by the deposition of silver nanoparticles (AgNPs) through a self-reduction process. Polydopamine was chosen for its excellent adhesive and reductive properties, facilitating the uniform attachment of silver nanoparticles on the fabric surface. The functionalized fabrics were thoroughly characterized using FTIR, Raman spectroscopy, SEM, EDS, TGA, contact angle measurements, and XRD, confirming the successful integration of PDA and AgNPs. The modified cotton fabrics demonstrated 100% antibacterial activity against Staphylococcus aureus and achieved a water contact angle of approximately 131°, indicating enhanced hydrophobicity. Thermal stability was also improved, with a 15% increase in ash content at 600°C. This dual-functional coating approach provides an effective means to develop antibacterial, water-resistant, and thermally more stable textile materials, offering potential applications in protective clothing, and other functional fabric domains.

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Polydopamine nanocoating to use surface functionalization of polypropylene fabrics with a closed structure

In this study, an experimental investigation was conducted to explore polydopamine (PDA) nano coating to use surface functionalization of polypropylene (PP) fabrics with a closed structure. Nano coatings were made on polypropylene nonwoven fabric with the oxygen-induced polymerization method of dopamine (DA) in six different times. Uncoated control samples, coated samples and washed samples after coating were compared. A change in the solution towards dark brown-black color was observed during the experimental as the reaction time increased. Based on this finding, spectrophotometric measurements of samples were made. The lowest lightness and highest color strength values were observed in fabric coated for 32 hours. In before and after washing SEM images, the formed nano coating could be easily seen on this fabric (32 h). The nitrogen ratio indicating the presence of polydopamine was detected as 17.05%. After washing, it was observed that this high percentage decreased up to 1.35% but the nitrogen element was distributed homogeneously on the fabric surfaces from EDX mapping. FTIR analysis results confirmed that the PDA coating formed a bond with the polypropylene fabric and that these bonds continued after washing. Differently from uncoated fabric, extra bands and signals were observed in two different regions on the FTIR graph due to polydopamine. The results presented here may facilitate improvements in the surface activation of PP fabrics, which have a more closed structure for functionalization.

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The Evaluation of Uster Hairiness Results with an Image Analysis Approach

In this study, the images of the yarns were taken using a stereomicroscope. MATLAB software was used in image processing studies. The recommended image acquisition and processing steps in previous studies were followed, and the obtained results from textural parameters of images were compared with the results of Uster H and sh. The highest correlation in Uster H hairiness was obtained in the entropy textural parameter of the Sobel technique. The highest correlation in Uster sh hairiness was obtained in the mean of matrix elements (mean2) from the textural parameters in the Sobel technique. In general, higher correlation results were found in Uster sh than in Uster H. It has been observed that the Uster H results have deficiencies in determining the hairiness of dyed yarns. The different from the literature, this study presents that among the hairiness parameters, Uster sh shows the values closest to the real.

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