We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Thermal and mechanical properties of textiles as a basis for assessing microfibre release
AI summary Read the abstract
This study uses thermal and mechanical analysis combined with multivariate statistics to show that microfiber release from textiles is most strongly influenced by fiber type, filament structure (continuous vs. staple), elastic modulus, and crystallinity.
Abstract Although there are several studies regarding textile fibre release, there is little information about how thermal and mechanical properties of textiles can influence the process. In this study, TG, DSC and thermal and dynamic mechanical analysis are used to characterize the textiles. As the variables involved in textile fibre release are numerous and with different origins, statistical techniques of multivariate analysis are useful to reduce the dimensions of the problem, allowing the visualization of all variables together, considering their relationships. It also provides a statistical support to the study of fibre release, through which we found that the most strongly related parameters to fibre release are the nature of the fibres, the type of filament, continuous or staple, the elastic modulus and the crystallinity. Overall, this study provides a new understanding on how the thermal and mechanical properties of fabrics influence fibre shedding.
More Papers Like This
Textile Fiber Pollution:Relating Textile Featuresto Fiber Release in Pilling Experiments
AI summary Read the abstract
Researchers evaluated the contribution of physical, dynamic, and thermomechanical textile properties to microfiber release susceptibility in pilling experiments, finding that fiber nature, dimensional features, and mechanical properties collectively determine a textile's propensity to shed microplastic fibers.
Thermogravimetry as a tool to evaluate the contribution of different fabric constituents to fibre release
AI summary Read the abstract
This study introduces a thermogravimetric analysis method using DTG signal deconvolution to rapidly estimate the composition of textile fiber blends, demonstrating its accuracy across polyester, cotton, wool, and acrylic mixtures and its applicability to identifying fibers shed during pilling — a major source of microplastic release.
Textile Fiber Pollution: Relating Textile Features to Fiber Release in Pilling Experiments
AI summary Read the abstract
Researchers evaluated how physical, dynamic, and thermomechanical textile properties influence fiber release during pilling experiments, aiming to identify which fabric characteristics predict microplastic fiber shedding during normal garment wear.
Microfiber release from different fabrics during washing
AI summary Read the abstract
This study quantified microfiber shedding from polyester, polyamide, and acrylic fabrics during washing, finding that fiber release depended on fabric construction and washing conditions, with up to tens of thousands of fibers released per wash.
Aquatic Microfibre Release from Different Textiles During Home Laundering
AI summary Read the abstract
A comparative study of microfibre release from fleece, knit, and towel textiles during home laundering found that loosely constructed fabrics with natural fibres shed the most microfibres, with shedding rates declining across successive wash cycles. This research quantifies a major pathway for synthetic microfibre entry into aquatic environments, informing efforts to reduce textile-sourced microplastic pollution.
Research digests by email
When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.