Statistical Method for Dimensional Analysis of Micro/Nanoparticles Deposited onto Textile Substrates

In this work it was developed a morphological analysis method of nano- and microparticles deposited on the textile substrate. This method is based on the statistical analysis of their dimensions measured by SEM (scanning electron microscopy). Towards this development, it was used a knit surface treated with TiO2 – N ‒ Fe (treatment that gives photocatalytic, antibacterial and antifungal skills). The method consists in the processing of the SEM images (previously obtained) by the insertion of labels with dimension of nano/micro- particles and the calculation of statistical parameters of values obtained. It was processed 10 SEM images of the same material from different places investigated at same magnification (in this case 8000 X), each of these images being processed in software Scandium 5.0. In each image it was measured the dimension of 10 micro/nano- particles. The requirement of a large number of dimensional measurements is because the size of the constituent particles in surface treatments, generally, has some variability. The major advantage of using Scandium 5.0 software is that it calculates automatically the statistical parameters of the set of measured values for all 10 images (average, minimum, maximum, number of values, standard deviation).