In previous studies much research has reported the determination of applications of TiO2 (rutile and anatase), ZnO and Ag nanomaterials onto various textile surfaces, but in this study for the first time application to denim fabric and testing of the finished fabric for antimicrobial activities of these nanomaterials was investigated. The presence of nanoparticles on dyed denim fabric surfaces was confirmed by Scanning Electron Microscope (SEM). The nanomaterial-impregnated denim fabric (100% cotton) showed significant antibacterial activity against Staphylococcus aureus, Escherichia coli and Escherichia coli isolated from pasta. Additionally, the UV tests indicated excellent improvement in the UV absorbing activity of the TiO2 (rutile and anatase), ZnO and Ag nanomaterial-treated fabrics.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1166/jnn.2016.12650 | DOI Listing |
Micron
December 2024
Graduate School of Natural and Applied Science, Biology Department, Bursa Uludağ University, Bursa, Turkey,; Arts and Sciences Faculty, Biology Department, Bursa Uludağ University, Bursa, Turkey. Electronic address:
Pollen grains, in addition to their allergenic properties, play an important role in the temporal and spatial analysis of forensic events and are considered secondary trace evidence. Pollen analysis requires expertise in microscopy techniques and palynology. This study aims to determine the persistence of pollen on common used fabric types and how much of it can be removed through washing.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Biosystems and Technology, Swedish University of Agricultural Sciences, Alnarp, 23456, Sweden.
The rapid development in agriculture and industrial sectors has raised some serious global issues like heavy metals pollution of water resources. Cadmium (Cd) is amongst the major water pollutants worldwide. In this study, two novel sorbents were prepared by using post-consumer textile waste (PCTW).
View Article and Find Full Text PDFData Brief
December 2024
Center for Computational & Data Sciences, Independent University, Bangladesh, Block B, Bashundhara R/A, Dhaka 1229, Bangladesh.
The FabricSpotDefect dataset is, to the best of our knowledge, the first dataset specifically designed to accurately challenge computer vision in detecting fabric spots. There are a total of 1014 raw images and manually annotated 3288 different categories of spots. This dataset expands to 2300 augmented images after applying six categories of augmentation techniques like flipping, rotating, shearing, saturation adjustment, brightness adjustment, and noise addition.
View Article and Find Full Text PDFAvian Dis
September 2024
Veterinary Population Medicine Department and Veterinary Diagnostic Laboratory, College of Veterinary Medicine, University of Minnesota, St. Paul, MN 55108,
Polymers (Basel)
September 2024
Division of Materials Science, Department of Engineering Sciences and Mathematics, Luleå University of Technology, SE-97187 Luleå, Sweden.
Wood-polymer composites (WPCs) with polypropylene (PP) matrix suffer from low toughness, and fossil-based impact modifiers are used to improve their performance. Material substitution of virgin fossil-based materials and material recycling are key aspects of sustainable development and therefore recycled denim fabric, and elastomer were evaluated to replace the virgin elastomer modifier commonly used in commercial WPCs. Microtomography images showed that the extrusion process fibrillated the denim fabric into long, thin fibers that were well dispersed within the WPC, while the recycled elastomer was found close to the wood fibers, acting as a soft interphase between the wood fibers and PP.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!