This paper presents multivariate analyses of the experimental parameters obtained in the scientific experiments on eight
sample fabrics of 100% cotton with electrically conductive properties and electromagnetic achieved through traditional
treatments such as padding with antistatic agents, and direct printing or scraping with a polymeric paste based on nickel
(Ni). Textile printing was obtained using polymers such as polyethylene glycol (PEG), polyvinyl alcohol (PVA),
polyacrylate, ammonium salt, carboxylic acid Copolymer polyester, and Ni microparticles. For the eight samples that
have been analyzed, the morphology of the surfaces using SEM (scanning electron microscope) with magnification
2000–8000x and electronic magnification microscopy with 4x, assessed the resistance to wet rubbing and dry the
resistance of the surface after treatment in the solution of alkaline and acid sweat. Also, the samples above referred
have been analyzed by spectrophotometry to evaluate the transmittance, and reflectance of the electromagnetic waves.
It can specify that after treatments in acid or alkaline sweat solutions, the resistance of the surface has decreased by
103–105. It has been observed that for samples treated with acid or alkaline sweat, the reflectance was increased in
comparison with the reflectance obtained for the original samples. The multivariate analysis provided refers to the study
of some physic-chemical and optical parameters, of the samples collected, such as thickness, pH, reflectance, and
transmittance
Flavor compounds in blackcurrant berries: Multivariate analysis of datasets obtained with natural variability and various experimental parameters
