Pub Date : 2023-06-06DOI: 10.35530/it.074.03.202333
M. Lite, R. Constantinescu, N. Badea, E. Tănăsescu, I. Sandulache, O. Iordache
The use of “green” reagents for silver nanoparticles (AgNPs) synthesis represents an attractive alternative to conventional methods, due to the abundance of available biomass with reducing properties. Herein, a flavonoid compound, hesperidin, was used to produce AgNPs, and the resulting dispersion was applied to textile fabrics and tested for its antimicrobial properties. Different ratios of flavonoid to the silver precursor (v:v) were prepared. The formation of the nanoparticles was indicated by the presence of the SPR specific band in the UV–Vis spectra. For the synthesis optimization, the DLS technique was used to determine the size and polydispersity of the AgNPs, while zeta potential measurements were performed to assess their physical stability. For the dispersion with the optimal ratio, particles with the average size (Zav ) of 93.55±3.51 nm were obtained, with a polydispersity index (PdI) of 0.259. For this ratio, the value of the zeta potential (ξ.) was –28.80±1.54 mV, indicating that the dispersion is physically stable. The nanoparticles were further characterized using SEM-EDS techniques to confirm the particles' nature and evaluate their morphology. The AgNPs were deposited on textile samples, by direct soaking into the dispersion. The distribution of the AgNPs on the textile samples fibres was evaluated by SEM and the chromatic parameters L*a*b* were determined compared to the untreated samples. Antimicrobial tests were conducted against Escherichia coli, Staphylococcus aureus, and Bacillus subtilis strains, according to the ISO 20743:2013 standard, and percentages of bacterial reduction up to 99.99% were obtained.
{"title":"Antimicrobial treatment for textiles based on flavonoid-mediated silver\u0000nanoparticles dispersions","authors":"M. Lite, R. Constantinescu, N. Badea, E. Tănăsescu, I. Sandulache, O. Iordache","doi":"10.35530/it.074.03.202333","DOIUrl":"https://doi.org/10.35530/it.074.03.202333","url":null,"abstract":"The use of “green” reagents for silver nanoparticles (AgNPs) synthesis represents an attractive alternative to\u0000conventional methods, due to the abundance of available biomass with reducing properties. Herein, a flavonoid\u0000compound, hesperidin, was used to produce AgNPs, and the resulting dispersion was applied to textile fabrics and\u0000tested for its antimicrobial properties. Different ratios of flavonoid to the silver precursor (v:v) were prepared. The\u0000formation of the nanoparticles was indicated by the presence of the SPR specific band in the UV–Vis spectra. For the\u0000synthesis optimization, the DLS technique was used to determine the size and polydispersity of the AgNPs, while zeta\u0000potential measurements were performed to assess their physical stability. For the dispersion with the optimal ratio,\u0000particles with the average size (Zav ) of 93.55±3.51 nm were obtained, with a polydispersity index (PdI) of 0.259. For this\u0000ratio, the value of the zeta potential (ξ.) was –28.80±1.54 mV, indicating that the dispersion is physically stable. The\u0000nanoparticles were further characterized using SEM-EDS techniques to confirm the particles' nature and evaluate their\u0000morphology. The AgNPs were deposited on textile samples, by direct soaking into the dispersion. The distribution of the\u0000AgNPs on the textile samples fibres was evaluated by SEM and the chromatic parameters L*a*b* were determined\u0000compared to the untreated samples. Antimicrobial tests were conducted against Escherichia coli, Staphylococcus\u0000aureus, and Bacillus subtilis strains, according to the ISO 20743:2013 standard, and percentages of bacterial reduction\u0000up to 99.99% were obtained.","PeriodicalId":13638,"journal":{"name":"Industria Textila","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44715708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-02DOI: 10.35530/it.074.02.202216
F. Kodaloğlu, Naciye Sündüz Oğuz
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.
{"title":"Investigation of radiation shielding, antibacterial and some properties\u0000of nanosilver applied and coated woven fabrics","authors":"F. Kodaloğlu, Naciye Sündüz Oğuz","doi":"10.35530/it.074.02.202216","DOIUrl":"https://doi.org/10.35530/it.074.02.202216","url":null,"abstract":"Antibacterial textiles are widely used in terms of providing hygiene and comfort by protecting human health. Due to its\u0000importance in the health sector and increasing customer demands, the trend towards these textiles is increasing day by\u0000day. In this study, the antibacterial properties of cotton and cotton/polyester woven fabrics which had applied\u0000impregnation and coating processes were examined and compared. For this purpose, nano silver-containing chemicals\u0000were applied to the fabrics by impregnation method to give antibacterial properties. After this, the fabrics were coated\u0000with tungsten and barium sulphate which have different properties, and coating fabric with antibacterial and radiation\u0000shielding properties is obtained. To examine some properties of these antibacterial fabrics, tensile strength, washing\u0000fastness, friction fastness tests and SEM analysis were applied to the fabrics. The coating and impregnated fabrics were\u0000compared with the fabrics that had been coated only.","PeriodicalId":13638,"journal":{"name":"Industria Textila","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43816824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-02DOI: 10.35530/it.074.02.202222
Zhao Shengying, Zhong Mingjun, LU Xiangyuan
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.
{"title":"The optimal factoring type with partial credit guarantee in the textile industry:\u0000disclosed or undisclosed","authors":"Zhao Shengying, Zhong Mingjun, LU Xiangyuan","doi":"10.35530/it.074.02.202222","DOIUrl":"https://doi.org/10.35530/it.074.02.202222","url":null,"abstract":"Small and medium-sized textile enterprises generally experience financial difficulties, with a high default risk because of\u0000the textile industry’s characteristics of low concentration, long industrial chains, and large seasonal fluctuations. Using\u0000a two-echelon supply chain model of the textile industry comprising a core retailer and capital-constrained supplier, this\u0000study investigates disclosed and undisclosed factoring while considering the default risk of both the supplier and retailer\u0000under two guarantee mechanisms: no guarantee and a third-party partial credit guarantee. Utilizing a Stackelberg game\u0000model, this study finds that both the default risk and financial institutions’ loan-to-value ratio for accounts receivable\u0000significantly affect optimal financing decisions and financing efficiency. First, excessively pursuing higher loan-to-value\u0000ratios lowers financing efficiency. In addition, a partial credit guarantee from a third party can effectively reduce the\u0000financing interest rate but cannot improve financing efficiency if the supplier assumes the guarantee fee. Thus, while\u0000introducing a guarantee mechanism to control financing risk, financial institutions should consider supply chain\u0000participants, rather than the supplier, to assume the guarantee fees. Furthermore, both the supplier and retailer should\u0000finance through disclosed factoring regardless of a guarantee. Our findings offer textile industry-specific financing\u0000insights regarding the options of guarantee and factoring financing type based on the accounts receivable.","PeriodicalId":13638,"journal":{"name":"Industria Textila","volume":"1 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69861545","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-02DOI: 10.35530/it.074.02.2021110
Sadia Aziz, Muhammad Abdullah Khan Niazi, Usman Ghani, S. Kiran, M. Noor
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.
{"title":"Effect of trade barriers on export performance during COVID-19 pandemic:\u0000a comparative study among South Asian textile industries","authors":"Sadia Aziz, Muhammad Abdullah Khan Niazi, Usman Ghani, S. Kiran, M. Noor","doi":"10.35530/it.074.02.2021110","DOIUrl":"https://doi.org/10.35530/it.074.02.2021110","url":null,"abstract":"The study focused on determining essential government policies and trade barriers affecting the textile industry's export\u0000performance during the COVID-19 pandemic. This study has analysed the effect of government export policies on the\u0000export performance of the textile industry. This study has also compared factors among three South Asian textile\u0000industries, including Pakistan, India, and Bangladesh. The study identified nine essential government export policies and\u0000trade barriers based on Industrial Organization View (I/O View). A panel regression model was used to analyse the\u0000significance of each government policy and trade barrier affecting textile export performance. Results of the study\u0000showed that currency exchange rates, the cost to export, time to export, political stability of the country, quality of\u0000infrastructure in the country, freedom from corruption, business cost of terrorism and economic stability in the country\u0000have a significant effect on export performance of the industry. In contrast, taxes on doing business have an insignificant\u0000effect on export performance. The Seemingly Unrelated Estimation (SUEST) test compared the differences in export\u0000performance of Pakistani, Indian and Bangladeshi textile industries due to government policies. The results showed that\u0000a higher level of time to export, cost to export and business cost of terrorism lead to the low export performance of the\u0000textile industry. At the same time, a higher level of currency exchange rates, political stability of the country, quality of\u0000infrastructure, freedom from corruption and economic stability in-country lead to the high export performance of the\u0000textile industry. Further, taxes on doing business have an insignificant effect on export performance.\u0000This study is among the few contributing to the textile industry during the COVID-19 pandemic. Due to uncertain\u0000circumstances, it becomes hard for the government to identify important factors which could help textile exporters to\u0000survive and grow during the COVID-19 pandemic. The study has identified important government policies and trade\u0000barriers affecting textile exports based on strong theoretical support and has also compared and elaborated on the\u0000importance of each factor across three South Asian countries. This study will help policymakers reconsider export-\u0000related factors to enhance their textile exports and revive their economy after the COVID-19 pandemic.","PeriodicalId":13638,"journal":{"name":"Industria Textila","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45838749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-02DOI: 10.35530/it.074.02.202247
Liliana Indrie, Z. Zlatev, J. Ilieva, Ioan Pavel Oana
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.
{"title":"An algorithm for the analysis of static hanging drape","authors":"Liliana Indrie, Z. Zlatev, J. Ilieva, Ioan Pavel Oana","doi":"10.35530/it.074.02.202247","DOIUrl":"https://doi.org/10.35530/it.074.02.202247","url":null,"abstract":"In this paper, an analysis of drape characteristics of textile waste derived from their 2D colour digital images was made.\u0000There have been proposed algorithms and procedures for obtaining 3D shapes of real drape. The description of the\u0000drape characteristics of fabrics was made by a total of 17 features. The advantages of the proposed methods and tools\u0000are that they don't need complicated calculation methods or a lot of time to measure and obtain a three-dimensional\u0000model. A predictive model was created from the obtained data for automated prediction of the drape coefficient of textile\u0000waste. The proposed methods and procedures can be applied in the analysis of fabric drape on video files obtained after\u0000exposure of the textile fabrics at different airflow rates.","PeriodicalId":13638,"journal":{"name":"Industria Textila","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47027852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-02DOI: 10.35530/it.074.02.2022132
K. Kumar, Prakash Pinto, C. Spulbar, Ramona Birau, Iqbal Thonse Hawaldar, Samartha Vishal, Iuliana Carmen Bărbăcioru
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).
{"title":"ARIMA model to forecast the RSS-1 rubber price in India: A case study\u0000for textile industry","authors":"K. Kumar, Prakash Pinto, C. Spulbar, Ramona Birau, Iqbal Thonse Hawaldar, Samartha Vishal, Iuliana Carmen Bărbăcioru","doi":"10.35530/it.074.02.2022132","DOIUrl":"https://doi.org/10.35530/it.074.02.2022132","url":null,"abstract":"Various rubber products are used in the textile industry. Due to increased foreign supply and synthetic rubber production,\u0000the price of natural Rubber in India has become more volatile. This paper aims to develop an appropriate model to\u0000predict the weekly price using the Box Jenkins methodology. The weekly price for Indian RSS-1 Rubber for the sample\u0000period from January 2002 to December 2019 has been collected from the official website of the Indian Rubber Board.\u0000ACF and PACF correlograms check the series stationarity and identify the model parameters. A model with the\u0000maximum number of significant coefficients, lowest volatility, lowest Akaike's information criterion (AIC), lowest Schwarz\u0000criterion and highest Adjusted R-squared is tentatively selected as the appropriate model and for the same model\u0000diagnostic check is carried out. An appropriate model to forecast the weekly price for the RSS-1 variety of Rubber is\u0000ARIMA (1, 1, 4).","PeriodicalId":13638,"journal":{"name":"Industria Textila","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45709379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-02DOI: 10.35530/it.074.02.202266
M. Grosu, I. Radulescu, E. Visileanu, R. Scarlat
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.
{"title":"The design of experiments in the field of technical textiles\u0000as an educational module","authors":"M. Grosu, I. Radulescu, E. Visileanu, R. Scarlat","doi":"10.35530/it.074.02.202266","DOIUrl":"https://doi.org/10.35530/it.074.02.202266","url":null,"abstract":"Mastering software knowledge for the design of textile fabrics is especially important for students of higher education\u0000and offers substantial competitive advantages within the world of work. The Erasmus+ project OptimTex has prepared\u0000up-to-date educational materials as a response to the digitization requirements of Industry 4.0 in the textile field. This\u0000paper presents the content of an e-learning module conceived by the coordinator of the Erasmus+ OptimTex project.\u0000The module addresses the design of experiments in the field of technical textiles for electromagnetic shielding, with the\u0000following technical aspects: two input parameters, the weft fabric density (number of yarns per 10 cm) and the thickness\u0000of the plasma-coated metallic (copper) layer on both sides of the fabric (nanometre) and one result variable, the\u0000electromagnetic shielding effectiveness of the fabrics (dB) at 100 MHz. A Box-Wilson central composite design was\u0000applied to optimize shielding effectiveness related to both input parameters. Software such as Excel, MATLAB and\u0000MODDE was applied to compute and cross-check the response surface modelling.","PeriodicalId":13638,"journal":{"name":"Industria Textila","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48457505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-02DOI: 10.35530/it.074.02.2022108
E. Visileanu, A. Ene, C. Mihai, A. Vladu
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.
{"title":"Textile structures for the treatment of burn wounds – characterization\u0000of elastic and antibacterial properties","authors":"E. Visileanu, A. Ene, C. Mihai, A. Vladu","doi":"10.35530/it.074.02.2022108","DOIUrl":"https://doi.org/10.35530/it.074.02.2022108","url":null,"abstract":"The paper shows the elastic and antibacterial features of the textile structures (Layer I and III) which make up a\u0000three-layer composite material with well-defined features, aimed at the treatment of human burns. The textile structures\u0000obtained through weaving (5 variants) and interweaving (3 variants) were further treated with active substances:\u0000collagen, colloidal silver, CMC, clay, hyaluronic acid, polyurethane, etc. By using specialized software, fundamental\u0000statistical indicators were calculated for the modulus of elasticity and anisotropy variables: mean, dispersion and\u0000standard deviation, median and quartiles, skewness, and kurtosis for asymmetry and highlighting the cases in which\u0000interventions should be carried out. The histograms and box-plot graphs of the modulus of elasticity and anisotropy\u0000variables were obtained. For the functionalized textile structures, with different levels of anisotropy, the antibacterial\u0000activity was evaluated on Gram-positive microorganisms (Staphylococcus aureus ATCC 6538) and Gram-negative\u0000(Escherichia coli ATCC 8739) and Candida albicans, variety ATCC 10231 by determining the logarithmic and percentage\u0000reduction of microorganism populations. The hemocompatibility was determined by evaluating the hemolytic index\u0000(ASTM F756-13). The results obtained led to the definition of the combinations of structures of the multilayer matrix.","PeriodicalId":13638,"journal":{"name":"Industria Textila","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44922150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Nisha, L. Malliga, S. Periannasamy, J. J. Bennet, S. A. MARY RAJEE
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).
{"title":"Smart fabric inspection using Mimosa pudica plant","authors":"M. Nisha, L. Malliga, S. Periannasamy, J. J. Bennet, S. A. MARY RAJEE","doi":"10.35530/it.074.02.1719","DOIUrl":"https://doi.org/10.35530/it.074.02.1719","url":null,"abstract":"Fabric quality governing and defect detection are playing a crucial role in the textile industry with the development of\u0000high customer demand in the fashion market. This work presents fabric defect detection using the sensitive plant\u0000segmentation algorithm (SPSA) which, is developed with the sensitive behaviour of the plant biologically named\u0000“Mimosa pudica”i. This method consists of two stages. The first stage enhances the contrast of the defective fabric\u0000image and the second stage segments the fabric defects with aid of SPSA. The proposed work SPSA is developed for\u0000defective pixels identification in both uniform and non-uniform patterns of fabrics. In this work, SPSA has been done by\u0000checking with devised condition, correlation and error probability. Every pixel will be checked with the developed\u0000algorithm, to get marked either defective or non-defective pixels. The proposed SPSA has been tested on the different\u0000types of fabric defect databases and shows a prodigious performance over existing methods like the Differential\u0000evolution based optimal Gabor filter model (DEOGF), Gabor filter bank (GFB), Adaptive sparse representation-based\u0000detection model (ASR) and Fourier and wavelet shrinkage (FWR).","PeriodicalId":13638,"journal":{"name":"Industria Textila","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48536808","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-02DOI: 10.35530/it.074.02.202179
M. Sarfraz, M. Abdullah, Najaf Mumtaz, Syed Ibn-ul-Hassan, Ilknur Ozturk
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.
{"title":"The effect of entrepreneurs’ personality on entrepreneurial marketing\u0000in textile sector: the mediating role of self-efficacy","authors":"M. Sarfraz, M. Abdullah, Najaf Mumtaz, Syed Ibn-ul-Hassan, Ilknur Ozturk","doi":"10.35530/it.074.02.202179","DOIUrl":"https://doi.org/10.35530/it.074.02.202179","url":null,"abstract":"The study objective is to analyse the effect of big-five entrepreneurs' personality traits on entrepreneurial marketing while\u0000considering the mediating role of self-efficacy. Data were collected through a structured questionnaire; a study of 199\u0000usable questionnaires out of 290 was carried out among young entrepreneurs. Structural equation modelling was used\u0000to test the study hypothesis. The results show a significant relationship between personality traits and entrepreneurial\u0000marketing. Openness, Extroversion, and Agreeableness personality traits are positively linked with entrepreneurial\u0000marketing. The findings also show a positive association between self-efficacy and entrepreneurial marketing. The\u0000current study contributes to the literature by analysing an entrepreneur’s personality characteristics in entrepreneurial\u0000marketing.","PeriodicalId":13638,"journal":{"name":"Industria Textila","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43512845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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