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Content available remote Antibacterial Fibers Containing Nanosilica with Immobilized Silver Nanoparticles
The main aim of the presented research was to obtain antibacterial fibers containing nanosilica with immobilized silver nanoparticles. The nanomodifier in an amount of 250 ppm, 500 ppm, 1,000 ppm, and 2,000 ppm were introduced into the cellulose fiber matrix during the cellulose dissolution process. In order to assess the influence of the nanomodifier's amount in the fiber on the antibacterial activity of modified fiber, a quantitative test of the antibacterial activity of the fibers was performed. The basic parameters of modified fibers, such as the mechanical and hygroscopic, were estimated. The size and shape of the nanomodifier in the selected fibers, as well as microanalysis of the polymer matrix, were examined. The investigations were conducted by Scanning Electron Microscopy (SEM), Transmission Electron Microscopy (TEM), and Energy Dispersive Spectrometry (EDS). The obtained results allowed the selection of optimal fibers with strong antibacterial properties that can be potentially used for personal protection or medical purposes.
Content available remote Computer modelling of the Lyocell fibre spinning process
The cellulose Lyocell fibre spinning process can be divided into two processes, a dry spinning process in the air gap, and a wet spinning process in the coagulation bath. In order to simulate the process in the air gap, the heat capacity Cp, the density ρ, and the elongational viscosity ɳ were measured by experiments carried out as a function of temperature and concentration of cellulose. The calculated diameters and temperature profiles along the spinning path were compared with the experimental results. The concentration of N-methyl-morpholine-N-oxide (NMMO) in the fibre (in the coagulation bath) was also measured during the experiments, and the diffusion coefficient was then calculated. Using the data obtained, the time during which the NMMO content in the fibre reaches the equilibrium state in the coagulation bath can be predicted.
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