Issue 2 / 2023

Inner covers

Article: Permeability properties of dry-laid mechanical bonded nonwovens for filter

Authors: DUNJA ŠAJN GORJANC, KLARA KOSTAJNŠEK
Pages: 133–142
DOI: 10.35530/IT.074.02.202190
Published online: April 2023

Abstract
The present study aimed to investigate the permeability of dry-laid, mechanically bonded nonwoven fabrics for filters of five different samples. Various permeability properties were investigated in the experimental part, such as water vapour permeability, air permeability, thermal conductivity, porosity parameters, and surface openness, which affect the permeability properties. The results of the study and statistical confirmation showed that the nonwoven structure has a great influence on filtration performance.
It was found that the sample with the largest mass and thickness had the optimal filtration properties, as it had the smallest open area and thus the lowest water vapour permeability, average air permeability, and highest thermal conductivity.
Statistical analysis confirmed that water vapour permeability correlates strongly with fibre diameter and bubble point, air permeability correlates strongly with thickness and mass, and thermal conductivity correlates strongly with fibre diameter, thickness, and mass of the nonwovens studied.
Keywords: nonwovens, water vapour permeability, air permeability, thermal conductivity, porosity parameters, surface openness

Citation: Gorjanc, D.Š., Kostajnšek, K., Permeability properties of dry-laid mechanical bonded nonwovens for filter, In: Industria Textila, 2023, 74, 2, 133–142,  http://doi.org/10.35530/IT.074.02.202190

Full text PDF
Export citation and abstract       BibTeX     RIS

Article: Forecasting of Turkey's apparel exports using artificial neural network autoregressive models

Authors: GULSEREN KARABAY, MUHAMMET BURAK KILIC, KAZIM SARICOBAN, GİZEM KARAKAN GÜNAYDIN
Pages 143–153 
DOI: 10.35530/IT.074.02.202265
Published online: April 2023

Abstract
Foreign trade is significant for open economies and has a critical place in the development of national economies in a globally competitive environment. Export has a key role as an important component in foreign trade transactions. In this study, Turkey's exports of HS-61 “Apparel and clothing accessories knitted or crocheted” and HS-62 “Apparel and clothing accessories not knitted or crocheted” products were examined. Turkey's exports of these HS codes to seven countries, which are mostly exported, EU27, OECD and the world were estimated for 2020–2025 using artificial neural networks (ANNs). The model was validated by measuring forecast errors (RMSE, MAE, and MAPE) to ensure that the model can recreate satisfactory results. The results reveal that the ANNs predicted the exports to the selected countries accurately. According to the findings from the NNAR (1,1) model, Turkey's exports of HS-61 coded products to Italy, the UK, France and EU-27 are expected to increase year-on-year from 2020 to 2025, while exports to the USA, Netherlands and Spain are expected to decrease. Exports from Turkey to Germany, the world and the OECD are projected to decrease first and then increase. In the NNAR (2,2) model, Turkey's exports to Italy, the UK and France are expected to increase year on year, while exports to other countries are generally estimated to decrease first and then increase. In the estimation made for the HS-62 product group with NNAR (1,1) model, it is predicted that TURKEY’s exports to Italy, the USA, the UK, France and Spain will increase year by year from 2020 to 2025. It is estimated that TURKEY's exports to the Netherlands, Germany, World, OECD and EU-27 will decrease year by year in the same period. In the NNAR (2,2) model, it is predicted that TURKEY's exports to UK, France and Spain will increase year by year, while exports to EU-27, OECD and World will decrease. However, TURKEY's HS-62 exports to Italy, the USA, the Netherlands and Germany are expected to follow a fluctuating course.
Keywords: apparel industry, ready-made clothing sector, export, forecasting, artificial neural networks (ANNs)

Citation: Karabay,G., Kilic, M.B., Saricoban, K., Günaydin, G.K., Forecasting of Turkey's apparel exports using artificial neural network autoregressive models, In: Industria Textila, 2023, 74, 2, 143–153,  http://doi.org/10.35530/IT.074.02.202265

Full text PDF
Export citation and abstract       BibTeX     RIS

Article: An algorithm for the analysis of static hanging drape

Authors: LILIANA INDRIE, ZLATIN ZLATEV, JULIETA ILIEVA, IOAN PAVEL OANA
Pages 154–162 
DOI: 10.35530/IT.074.02.202247
Published online: April 2023

Abstract
In this paper, an analysis of drape characteristics of textile waste derived from their 2D colour digital images was made. There have been proposed algorithms and procedures for obtaining 3D shapes of real drape. The description of the drape characteristics of fabrics was made by a total of 17 features. The advantages of the proposed methods and tools are that they don't need complicated calculation methods or a lot of time to measure and obtain a three-dimensional model. A predictive model was created from the obtained data for automated prediction of the drape coefficient of textile waste. The proposed methods and procedures can be applied in the analysis of fabric drape on video files obtained after exposure of the textile fabrics at different airflow rates.
Keywords: textile waste, drape characteristics, algorithms, 3D shapes

Citation: Indrie, L., Zlatev, Z., Ilieva, J., Oana, I.P., An algorithm for the analysis of static hanging drape, In: Industria Textila, 2023, 74, 2, 154–162  http://doi.org/10.35530/IT.074.02.202247


Full text PDF
Export citation and abstract       BibTeX     RIS

Article: Smart fabric inspection using Mimosa pudica plant

Authors: M. FATHU NISHA, L. MALLIGA, S. MANTHANDI PERIANNASAMY, J. JOHN BENNET, S. AMALORPAVA MARY RAJEE
Pages 163–168 
DOI: 10.35530/IT.074.02.1719
Published online: April 2023

Abstract
Fabric quality governing and defect detection are playing a crucial role in the textile industry with the development of high customer demand in the fashion market. This work presents fabric defect detection using the sensitive plant segmentation algorithm (SPSA) which, is developed with the sensitive behaviour of the plant biologically named “Mimosa pudica”i. This method consists of two stages. The first stage enhances the contrast of the defective fabric image and the second stage segments the fabric defects with aid of SPSA. The proposed work SPSA is developed for defective pixels identification in both uniform and non-uniform patterns of fabrics. In this work, SPSA has been done by checking with devised condition, correlation and error probability. Every pixel will be checked with the developed algorithm, to get marked either defective or non-defective pixels. The proposed SPSA has been tested on the different types of fabric defect databases and shows a prodigious performance over existing methods like the Differential evolution based optimal Gabor filter model (DEOGF), Gabor filter bank (GFB), Adaptive sparse representation-based detection model (ASR) and Fourier and wavelet shrinkage (FWR).
Keywords: correlation, error probability, sensitive plant, segmentation, uniform pattern

Citation: Fathu Nisha, M., Malliga, L., Manthandi Periannasamy, S., Bennet, J.J., Rajee, A.M., Smart fabric inspection using Mimosa pudica plant, In: Industria Textila, 2023, 74, 2, 163–168,  http://doi.org/10.35530/IT.074.02.1719

Full text PDF
Export citation and abstract       BibTeX     RIS

Article: Investigation of radiation shielding, antibacterial and some properties of nanosilver applied and coated woven fabrics

Authors: FEYZA AKARSLAN KODALOĞLU, NACIYE SÜNDÜZ OĞUZ
Pages 169–174 
DOI: 10.35530/IT.074.02.202216
Published online: April 2023

Abstract
Antibacterial textiles are widely used in terms of providing hygiene and comfort by protecting human health. Due to its importance in the health sector and increasing customer demands, the trend towards these textiles is increasing day by day. In this study, the antibacterial properties of cotton and cotton/polyester woven fabrics which had applied impregnation and coating processes were examined and compared. For this purpose, nano silver-containing chemicals were applied to the fabrics by impregnation method to give antibacterial properties. After this, the fabrics were coated with tungsten and barium sulphate which have different properties, and coating fabric with antibacterial and radiation shielding properties is obtained. To examine some properties of these antibacterial fabrics, tensile strength, washing fastness, friction fastness tests and SEM analysis were applied to the fabrics. The coating and impregnated fabrics were compared with the fabrics that had been coated only.
Keywords: antibacterial property, nano silver, coating, radiation shielding, woven fabric

Citation: Kodaloğlu, F.A., Oğuz, N.S., Investigation of radiation shielding, antibacterial and some properties of nanosilver applied and coated woven fabrics, In: Industria Textila, 2023, 74, 2, 169–174,  http://doi.org/10.35530/IT.074.02.202216

Full text PDF
Export citation and abstract       BibTeX     RIS

Article: Evaluation of the mechanical properties of chopped carbon fibre reinforced polypropylene, polyethylene, polyamide 6, and polyamide 12 composites

Authors: ARI ALİ, BAYRAM ALİ, KARAHAN MEHMET, KARAGÖZ SEÇGİN
Pages 175–183 
DOI: 10.35530/IT.074.02.202214
Published online: April 2023

Abstract
In this study, a comparative assessment of the mechanical properties of chopped carbon fibre (CF) reinforced polypropylene (PP), polyethylene (PE), polyamide 6 (PA6), and polyamide 12 (PA12) composites was performed. A variation in the composites was obtained by changing the fibre volume fraction of the composite elements under the same manufacturing method and conditions. After blending reinforcement and matrix materials using the extrusion method, the composite materials were manufactured in the shape of plates with thermoforming. The composites’ tensile and 3-point bending tests were carried out, and the surface morphology of the fractured surfaces was examined by Scanning Electron Microscope (SEM). As the fibre content in all matrices increased, the efficiency of the fibre in the composites decreased. Finally, ANOVA analysis and mathematical model development by the least square optimization method were performed to analyse and fit experimental data. As a result of the ANOVA analysis, it was seen that the matrix type was more effective on the composite than the fibre type. The error of the modelling performed is less than 20% for the tensile and three-point bending tests.
Keywords: polymer-matrix composites, carbon fibre, mechanical properties, ANOVA analysis, experimental data

Citation: Ali, A., Ali, B., Mehmet, K., Seçgin, K., Evaluation of the mechanical properties of chopped carbon fibre reinforced polypropylene, polyethylene, polyamide 6, and polyamide 12 composites, In: Industria Textila, 2023, 74, 2, 175–183,  http://doi.org/10.35530/IT.074.02.202214

Full text PDF
Export citation and abstract       BibTeX     RIS

Article: An investigation on non-flammability properties of polypropylene knitted fabrics

Authors: ÖZKAN HACIOĞULLARI SELCEN, BABAARSLAN OSMAN
Pages 184–191 
DOI: 10.35530/IT.074.02.202178
Published online: April 2023

Abstract
The research performed in recent years regarding synthetic filament yarns is improving the structures and properties of such yarns, and diversifying their usage areas. Most of the current studies being carried out in this field are in the form of bringing functionality to filament yarns. And one of these functional properties is the production of flame-retardant yarns from different types of polymers. In this study, polypropylene (PP) raw material was mixed with organophos-phonate based flame retardancy additive at rates in between 1% and 8% in the feed hopper of a laboratory-type melt spinning machine during PP filament yarn production and then knitted fabric structures were obtained from these yarns. Then the flame retardancy properties of these PP knitted fabrics were tried to be determined by vertical flammability tests and Limit Oxygen Index (LOI) tests. Test results indicated that after flame time and char length values had significantly decreased and values of LOI had increased in knitted fabrics by the increase in additive rate. In conclusion, it was observed that the increase in the rate of flame retardancy additive had significantly improved the non-flammability properties of the PP samples.
Keywords: flame retardancy (FR), knitted fabric, mechanical properties, polypropylene filament yarn, vertical flammability and Limited Oxygen Index (LOI)

Citation: Hacioğullari, Ö.S., Babaarslan, O., An investigation on non-flammability properties of polypropylene knitted fabrics, In: Industria Textila, 2023, 74, 2, 184–191,  http://doi.org/10.35530/IT.074.02.202178

Full text PDF
Export citation and abstract       BibTeX     RIS

Article: Effect of trade barriers on export performance during COVID-19 pandemic: a comparative study among South Asian textile industries

Authors: SADIA AZIZ, MUHAMMAD ABDULLAH KHAN NIAZI. USMAN GHANI, SAMRA KIRAN, MISBAH NOOR
Pages 192–202 
DOI: 10.35530/IT.074.02.2021110
Published online: April 2023

Abstract
The study focused on determining essential government policies and trade barriers affecting the textile industry's export performance during the COVID-19 pandemic. This study has analysed the effect of government export policies on the export performance of the textile industry. This study has also compared factors among three South Asian textile industries, including Pakistan, India, and Bangladesh. The study identified nine essential government export policies and trade barriers based on Industrial Organization View (I/O View). A panel regression model was used to analyse the significance of each government policy and trade barrier affecting textile export performance. Results of the study showed that currency exchange rates, the cost to export, time to export, political stability of the country, quality of infrastructure in the country, freedom from corruption, business cost of terrorism and economic stability in the country have a significant effect on export performance of the industry. In contrast, taxes on doing business have an insignificant effect on export performance. The Seemingly Unrelated Estimation (SUEST) test compared the differences in export performance of Pakistani, Indian and Bangladeshi textile industries due to government policies. The results showed that a higher level of time to export, cost to export and business cost of terrorism lead to the low export performance of the textile industry. At the same time, a higher level of currency exchange rates, political stability of the country, quality of infrastructure, freedom from corruption and economic stability in-country lead to the high export performance of the textile industry. Further, taxes on doing business have an insignificant effect on export performance.
This study is among the few contributing to the textile industry during the COVID-19 pandemic. Due to uncertain circumstances, it becomes hard for the government to identify important factors which could help textile exporters to survive and grow during the COVID-19 pandemic. The study has identified important government policies and trade barriers affecting textile exports based on strong theoretical support and has also compared and elaborated on the importance of each factor across three South Asian countries. This study will help policymakers reconsider export-related factors to enhance their textile exports and revive their economy after the COVID-19 pandemic.
Keywords: COVID-19 pandemic, export performance, textile industry, industrial organization view

Citation: Aziz, S., Niazi, M.A.K., Ghani, U., Kiran, S., Noor, M., Effect of trade barriers on export performance during COVID-19 pandemic: a comparative study among South Asian textile industries, In: Industria Textila, 2023, 74, 2, 192–202,  http://doi.org/10.35530/IT.074.02.2021110

Full text PDF
Export citation and abstract       BibTeX     RIS

Article: Gamma-rays shielding and antibacterial properties of coated fabrics

Authors: NACIYE SÜNDÜZ OĞUZ, FEYZA AKARSLAN KODALOĞLU
Pages 203–208 
DOI: 10.35530/IT.074.02.202218
Published online: April 2023

Abstract
Today, with the development of technology, radiation exposure is more common. Therefore, alternative methods have been developed because shielding, which is used as the most effective method for radiation protection, has risks in terms of health. With the awareness of consumers, the use of antibacterial textile products has increased in terms of hygiene and comfort. In this study, for this purpose nano-silver which has antibacterial properties was applied to woven fabrics with the impregnation method and the fabrics were coated with tungsten and barium sulfate, which have radiation shielding properties. The radiation shielding properties of fabrics against 137Cs source emitting γ radiation were investigated. In this study, woven fabrics with radiation protection and antibacterial properties, which are very important for the health sector, were obtained and compared with each other
Keywords: radiation shielding, antibacterial property, woven fabric

Citation: Oğuz, N.S., Kodaloğlu, F.A., Gamma-rays shielding and antibacterial properties of coated fabrics, In: Industria Textila, 2023, 74, 2, 203–208,  http://doi.org/10.35530/IT.074.02.202218

Full text PDF
Export citation and abstract       BibTeX     RIS

Article: The optimal factoring type with partial credit guarantee in the textile industry: disclosed or undisclosed

Authors: ZHAO SHENGYING, ZHONG MINGJUN, LU XIANGYUAN
Pages 209–216 
DOI: 10.35530/IT.074.02.202222
Published online: April 2023

Abstract
Small and medium-sized textile enterprises generally experience financial difficulties, with a high default risk because of the textile industry’s characteristics of low concentration, long industrial chains, and large seasonal fluctuations. Using a two-echelon supply chain model of the textile industry comprising a core retailer and capital-constrained supplier, this study investigates disclosed and undisclosed factoring while considering the default risk of both the supplier and retailer under two guarantee mechanisms: no guarantee and a third-party partial credit guarantee. Utilizing a Stackelberg game model, this study finds that both the default risk and financial institutions’ loan-to-value ratio for accounts receivable significantly affect optimal financing decisions and financing efficiency. First, excessively pursuing higher loan-to-value ratios lowers financing efficiency. In addition, a partial credit guarantee from a third party can effectively reduce the financing interest rate but cannot improve financing efficiency if the supplier assumes the guarantee fee. Thus, while introducing a guarantee mechanism to control financing risk, financial institutions should consider supply chain participants, rather than the supplier, to assume the guarantee fees. Furthermore, both the supplier and retailer should finance through disclosed factoring regardless of a guarantee. Our findings offer textile industry-specific financing insights regarding the options of guarantee and factoring financing type based on the accounts receivable.
Keywords: factoring, guarantee, game model, default risk, efficiency

Citation: Shengying, Z., Mingjun, Z., Xiangyuan, L., The optimal factoring type with partial credit guarantee in the textile industry: disclosed or undisclosed, In: Industria Textila, 2023, 74, 2, 209–216,  http://doi.org/10.35530/IT.074.02.202222

Full text PDF
Export citation and abstract       BibTeX     RIS

Article: The design of experiments in the field of technical textiles as an educational module

Authors: MARIAN CATALIN GROSU, ION RAZVAN RADULESCU, EMILIA VISILEANU, RAZVAN SCARLAT
Pages 217–222 
DOI: 10.35530/IT.074.02.202266
Published online: April 2023

Abstract
Mastering software knowledge for the design of textile fabrics is especially important for students of higher education and offers substantial competitive advantages within the world of work. The Erasmus+ project OptimTex has prepared up-to-date educational materials as a response to the digitization requirements of Industry 4.0 in the textile field. This paper presents the content of an e-learning module conceived by the coordinator of the Erasmus+ OptimTex project. The module addresses the design of experiments in the field of technical textiles for electromagnetic shielding, with the following technical aspects: two input parameters, the weft fabric density (number of yarns per 10 cm) and the thickness of the plasma-coated metallic (copper) layer on both sides of the fabric (nanometre) and one result variable, the electromagnetic shielding effectiveness of the fabrics (dB) at 100 MHz. A Box-Wilson central composite design was applied to optimize shielding effectiveness related to both input parameters. Software such as Excel, MATLAB and MODDE was applied to compute and cross-check the response surface modelling.
Keywords: technical textiles, e-learning, optimization, EMI shielding, plasma

Citation: Grosu, M.C., Radulescu, I.R., Visileanu, E., Scarlat, R., The design of experiments in the field of technical textiles as an educational module, In: Industria Textila, 2023, 74, 2, 217–222,  http://doi.org/10.35530/IT.074.02.202266

Full text PDF
Export citation and abstract       BibTeX     RIS

Article: Tensile and impact properties of chopped carbon fibre reinforced thermoplastics with multiple recycle and regenerate

Authors: FANGTAO RUAN, QINGYONG YANG, BOBO ZHAO, XINYU XIE, LI YANG, ZHENZHEN XU
Pages 223–229 
DOI: 10.35530/IT.074.02.202225
Published online: April 2023

Abstract
The increasing use of high-value carbon fibre in composites is linked with increasing waste generation. A simple and feasible chopped/hot-press method was proposed for multiple recycled carbon fibre-reinforced thermoplastic composites. The effect of regeneration times on the tension and impact properties of carbon fibre-reinforced polypropylene thermoplastic composites was investigated experimentally. The results showed that the r1-CFRTP specimen decreased by 69.34% in tensile strength and 48.66 % in tensile modulus compared with v-CFRTP. However, its tensile properties were improved with the increase of regeneration times (before 3 times). The impact strength of r2-CFRTP and r3-CFRTP is 12.65%, 20.85% higher than v-CFRTP, while r1-CFRTP and r4-CFRTP are 8.02% and 7.06% lower than v-CFRTP. When the third regeneration makes relatively excellent mechanical properties for recycled carbon fibre/PP composite, the chopped/hot-press method is a meaningful attempt at recycling and reusing the thermoplastic composites.
Keywords: chopped carbon fibre, multiple recycle, thermoplastic polymer, tensile, impact

Citation: Ruan, F., Yang, Q., Zhang, B., Xie, X., Yang, L., Xu, Z., Tensile and impact properties of chopped carbon fibre reinforced thermoplastics with multiple recycle and regenerate, In: Industria Textila, 2023, 74, 2, 223–229,  http://doi.org/10.35530/IT.074.02.202225

Full text PDF
Export citation and abstract       BibTeX     RIS

Article: The effect of entrepreneurs’ personality on entrepreneurial marketing in textile sector: the mediating role of self-efficacy

Authors: MUDDASSAR SARFRAZ, MUHAMMAD IBRAHIM ABDULLAH, NAJAF MUMTAZ, SYED IBN-UL-HASSAN, ILKNUR OZTURK
Pages 230–237 
DOI: 10.35530/IT.074.02.202179
Published online: April 2023

Abstract
The study objective is to analyse the effect of big-five entrepreneurs' personality traits on entrepreneurial marketing while considering the mediating role of self-efficacy. Data were collected through a structured questionnaire; a study of 199 usable questionnaires out of 290 was carried out among young entrepreneurs. Structural equation modelling was used to test the study hypothesis. The results show a significant relationship between personality traits and entrepreneurial marketing. Openness, Extroversion, and Agreeableness personality traits are positively linked with entrepreneurial marketing. The findings also show a positive association between self-efficacy and entrepreneurial marketing. The current study contributes to the literature by analysing an entrepreneur’s personality characteristics in entrepreneurial marketing.
Keywords: Big-Five personality traits, entrepreneurial marketing, self-efficacy, non-cognitive skills, entrepreneurship, textile sector

Citation: Sarfraz, M., Abdullah, M.I., Mumtaz, N., Ibn-Ul-Hassan, S., Ozturk, I., The effect of entrepreneurs’ personality on entrepreneurial marketing in textile sector: the mediating role of self-efficacy, In: Industria Textila, 2023, 74, 2, 230–237,  http://doi.org/10.35530/IT.074.02.202179

Full text PDF
Export citation and abstract       BibTeX     RIS

Article: ARIMA model to forecast the RSS-1 rubber price in India: A case study for textile industry

Authors: KEPULAJE ABHAYA KUMAR, PRAKASH PINTO, CRISTI SPULBAR, RAMONA BIRAU, IQBAL THONSE HAWALDAR, SAMARTHA VISHAL, IULIANA CARMEN BĂRBĂCIORU
Pages 238–245 
DOI: 10.35530/IT.074.02.2022132
Published online: April 2023

Abstract
Various rubber products are used in the textile industry. Due to increased foreign supply and synthetic rubber production, the price of natural Rubber in India has become more volatile. This paper aims to develop an appropriate model to predict the weekly price using the Box Jenkins methodology. The weekly price for Indian RSS-1 Rubber for the sample period from January 2002 to December 2019 has been collected from the official website of the Indian Rubber Board. ACF and PACF correlograms check the series stationarity and identify the model parameters. A model with the maximum number of significant coefficients, lowest volatility, lowest Akaike's information criterion (AIC), lowest Schwarz criterion and highest Adjusted R-squared is tentatively selected as the appropriate model and for the same model diagnostic check is carried out. An appropriate model to forecast the weekly price for the RSS-1 variety of Rubber is ARIMA (1, 1, 4).
Keywords: volatility, speculative price bubbles, natural rubber price, univariate forecasting model, Box Jenkins methodology, textile industry

Citation: Kumar, K.A., Pinto, P., Spulbar, C., Birau, R., Hawaldar, I.T., Vishal, S., Bărbăcioru, I.C., ARIMA model to forecast the RSS-1 rubber price in India: A case study for textile industry, In: Industria Textila, 2023, 74, 2, 238–245,  http://doi.org/10.35530/IT.074.02.2022132

Full text PDF
Export citation and abstract       BibTeX     RIS

Article: Textile structures for the treatment of burn wounds – characterization of elastic and antibacterial properties

Authors: EMILIA VISILEANU, ALEXANDRA ENE, CARMEN MIHAI, ALINA VLADU
Pages 246–255 
DOI: 10.35530/IT.074.02.2022108
Published online: April 2023

Abstract
The paper shows the elastic and antibacterial features of the textile structures (Layer I and III) which make up a three-layer composite material with well-defined features, aimed at the treatment of human burns. The textile structures obtained through weaving (5 variants) and interweaving (3 variants) were further treated with active substances: collagen, colloidal silver, CMC, clay, hyaluronic acid, polyurethane, etc. By using specialized software, fundamental statistical indicators were calculated for the modulus of elasticity and anisotropy variables: mean, dispersion and standard deviation, median and quartiles, skewness, and kurtosis for asymmetry and highlighting the cases in which interventions should be carried out. The histograms and box-plot graphs of the modulus of elasticity and anisotropy variables were obtained. For the functionalized textile structures, with different levels of anisotropy, the antibacterial activity was evaluated on Gram-positive microorganisms (Staphylococcus aureus ATCC 6538) and Gram-negative (Escherichia coli ATCC 8739) and Candida albicans, variety ATCC 10231 by determining the logarithmic and percentage reduction of microorganism populations. The hemocompatibility was determined by evaluating the hemolytic index (ASTM F756-13). The results obtained led to the definition of the combinations of structures of the multilayer matrix.
Keywords: elasticity, anisotropy, statistics, antimicrobial, microorganism, haemolytic

Citation: Visileanu, E., Ene, A., Mihai, C., Vladu, A., Textile structures for the treatment of burn wounds – characterization of elastic and antibacterial properties, In: Industria Textila, 2023, 74, 2, 246–255,  http://doi.org/10.35530/IT.074.02.2022108

Full text PDF
Export citation and abstract       BibTeX     RIS

© Copyright 2023 INCDTP