Redirigiendo al acceso original de articulo en 20 segundos...
ARTÍCULO
TITULO

Development of a formulation for light stabilizers to protect dyed cotton knitted fabrics against light

Olga Semeshko    
Yulia Saribyekova    
Tatyana Asaulyuk    
Nataliia Skalozubova    
Sergey Myasnikov    

Resumen

Mathematical planning of the experiment was used to develop a formulation for light stabilizers to improve the lightfastness of cotton knitwear coloration, dyed with active dyes, in order to produce comfortable and high-quality knitted clothes. The variance and factor analyses of the experiment's results were performed, which was carried out according to the scheme of the Latin cube of the first order involving the variation of factors ? the type of light stabilizers and their concentration.The technological mode of application of light stabilizers implied the impregnation of knitted fabric, drying, and thermal fixation of the material. For the dyed knitwear samples, we have investigated the individual influence of light stabilizers on changing the color of the dyed knitted fabric and the kinetics of coloration photodegradation. The samples were insolated using the device with mercury-tungsten lamp RF 1201 BS ("REFOND", China). Following the treatment and insolation, the general color differences of knitwear samples were determined in comparison with the non-treated material, using the TCR-200 colorimeter ("PCE Instruments", Germany).The effectiveness of the developed formulation for light stabilizers was confirmed in the study of the lightfastness of knitted fabrics such as pique weave, 1+1 eraser, smooth surface, dyed with active dyes of the brand Bezaktiv ("CHT Bezema", Czech Republic). The result of our study is the developed formulation of light stabilizers consisting of 2,4-dihydroxy benzophenone, a UV-absorber, and hydroquinone, an antioxidant, at concentrations of 2 and 1 % of the material weight, respectively, which ensures an increase in the lightfastness of cotton knitwear coloration by 52.9?66.8 % regardless of weave and active dye

 Artículos similares

       
 
Sta?a Pu?karic, Mateo Sokac, ?ivana Nincevic, Danijela ?antic, Sanda Skejic, Tomislav D?oic, Heliodor Prelesnik and Knut Yngve Børsheim    
In this communication, we present an innovative approach leveraging advanced Machine Learning (ML) and Artificial Intelligence (AI) techniques, specifically the Non-Negative Matrix Factorization (NMF) method, to analyze downward and upward light spectra ... ver más

 
Milena Henke, Tomasz Krystofiak, Emilia Adela Salca and Barbara Lis    
The global drive to eliminate mercury is stimulating the development of LED lamps for UV curing of coatings. Despite its many advantages, the transition to this system in the furniture industry presents technological issues. This paper aimed to determine... ver más
Revista: Applied Sciences

 
Rejath Jose, Faiz Syed, Anvin Thomas and Milan Toma    
The advancement of machine learning in healthcare offers significant potential for enhancing disease prediction and management. This study harnesses the PyCaret library?a Python-based machine learning toolkit?to construct and refine predictive models for... ver más
Revista: Applied Sciences

 
Rejane Viana, Ana C. Rocha, André P. Sousa, Diogo Ferreira, Rúben Fernandes, Cátia Almeida, Patrick J. Pais, Pilar Baylina and Ana Cláudia Pereira    
Colorectal cancer (CRC) is the third most common cancer diagnosed today and the third leading cause of death among cancer types. CRC is one of the gastrointestinal tumors with obesity as the main extrinsic risk factor, since, according to authors, the me... ver más
Revista: Applied Sciences

 
Elliasu Y. Salifu, Mbuso A. Faya, James Abugri and Pritika Ramharack    
Cancer remains a major challenge in the field of medicine, necessitating innovative therapeutic strategies. Mitogen-activated protein kinase (MAPK) signaling pathways, particularly Extracellular Signal-Regulated Kinase 1 and 2 (ERK1/2), play pivotal role... ver más
Revista: Computation