TY - JOUR TI - Statistical analysis of yarn characteristics for multilayer fabric matrix meant for hemostasis and tissue regeneration AU - ALEXANDRA GABRIELA ENE AU - RAZVAN-VICTOR SCARLAT AU - MARIAN-CATALIN GROSU AU - RADU-GABRIEL HERTZOG AU - DIANA MIHAELA POPESCU T2 - Industria Textila AB - Effective wound handling involves understanding the processes caused by several factors, such as the type of wound treated, the healing process, the general health of the patient (e.g., the existence of other diseases), the social environment, and the chemical and physical properties of available dressings. For the treatment of shot or burn wounds, the multilayer matrices that will be made must provide efficient oxygen permeability, but most importantly to simulate the structural and biological characteristics of the extracellular skin matrix (ECM). In order to achieve, by mechano-textile processing technologies, the textile structures that can be used as a base layer in the multilayer matrix, raw materials based on cotton, Lenpur, and bamboo mixed with zinc oxide were selected and analysed in accredited testing laboratories, from the point of view of the physical-mechanical characteristics. The results obtained in the case of the experimental program were analysed from a statistical point of view, the description of the statistical populations being made using a specialized program that allowed the calculation of the distribution parameters: mean, median, and standard deviation. To determine the outliers, for all the characteristics of the experimented variants the Q-Q Plot graphs were used. The information obtained as a result of the statistical analysis will be used to design the textile layers of the multilayer matrix using statistical techniques to create probabilistic prediction models that model the dependent variable Y is the hygroscopicity, depending on the independent variables x1 – linear density, x2 – twist/ply, x3 – breaking force, x4 – elongation at break. DA - 2022/06/30/ PY - 2022 DO - 10.35530/IT.073.03.202139 VL - 73 IS - 3 SP - 288 EP - 294 LA - English SN - 1222-5247 UR - http://revistaindustriatextila.ro/images/2022/3/009%20ALEXANDRA%20GABRIELA%20ENE%20Industria%20Textila%203_2022.pdf ER -