Textiles, Volume 6, Issue 1 (March 2026) – 16 articles

This manuscript reports a green approach for producing multifunctional acrylic fabrics co-decorated with Fe₃O₄ and Ag nanoparticles using Brachychiton populneus extract. Acrylic fabric was first amidoxime-functionalized to enable strong anchoring of Fe₃O₄ nanoparticles, followed by in situ deposition of AgNPs, during which the extract’s phytochemicals acted as reducing and stabilizing agents. FTIR, SEM/EDX, and VSM analyses confirmed successful surface modification and nanoparticle incorporation. The sequential treatments produced measurable add-on values (16.7% after amidoximation, followed by 10.9% and 8.5% after Fe₃O₄ and AgNP deposition, respectively). The Ag/Fe₃O₄-coated fabrics exhibited enhanced hydrophobicity and strong antimicrobial activity, with inhibition zones up to 14 mm against bacteria (including MRSA) and 26.9 mm against fungi at the highest Ag loading. Antioxidant activity was also markedly improved, showing up to a 78-fold increase in reducing power. Overall, this sustainable plant-mediated route provides an effective strategy for developing antimicrobial and antioxidant acrylic textiles for technical and protective applications. Full article

Air quality management in greenhouses is critical to safeguarding plant health and occupational safety, yet conventional filtration methods often fall short in performance and sustainability. These enclosed environments are prone to the accumulation of bioaerosols, including fungi, bacteria, pollen, and dust particles, which can compromise crop productivity and pose health risks to workers. This review explores recent advancements in air filtration technologies for controlled environments such as greenhouses, where airborne particulate matter, bioaerosols, and volatile organic compounds (VOCs) present ongoing challenges. Special focus is given to the development of filtration media based on electrospun nanofibers, which offer high surface area, tunable porosity, and low airflow resistance. The use of biodegradable polymers in these systems to support environmental sustainability is examined, along with electrospinning techniques that enable precise control over fiber morphology and functionalization. Antimicrobial enhancements are discussed, including inorganic agents such as metal nanoparticles and bio-based options like essential oils. Essential oils, known for their broad-spectrum antimicrobial properties, are assessed for their potential in long-term, controlled-release applications through nanofiber encapsulation. Overall, this paper highlights the potential of integrating sustainable materials, innovative fiber fabrication techniques, and nature-derived antimicrobials to advance air filtration performance while meeting ecological and health-related standards. Full article

The textile industry generates significant volumes of waste, making the development of reliable methods to evaluate biodegradability a pressing need. While standardised protocols exist for plastics, no specific methodologies have been established for textiles, and the quantification of non-degraded residues is commonly based on mass loss: a measurement that is prone to recovery errors. This study investigated the biodegradation of cotton, polyester, and cotton/polyester blend fabrics in soil under thermophilic conditions using a combined methodological approach. Carbon mineralisation was quantified through a respirometric assay that was specifically adapted for textile substrates, while residual solid fractions were assessed in situ by X-ray microtomography (micro-CT), thus avoiding artefacts associated with sample recovery. Complementary analyses were performed using SEM and FTIR to characterise morphological and chemical changes. Results showed substantial biodegradation of cotton, negligible degradation of polyester, and intermediate behaviour for the cotton/polyester blend. Micro-CT enabled the visualisation of fibre fragmentation and the quantification of the residual. The integration of respirometric, imaging, and spectroscopic techniques provided a comprehensive assessment of textile biodegradability. This study highlights the potential of micro-CT as a non-destructive tool to improve the accuracy and robustness of textile biodegradability assessment by enabling direct quantification of the residual solid fraction that can support future LCA studies and the development of standardised protocols for textile biodegradability. Full article

Waste textiles may contain heavy metals, which can originate from dyes, mordants, or other chemical treatments used during manufacturing. To explore the impact of heavy metals on the adsorption properties of activated carbon derived from discarded textiles through pyrolysis and to mitigate heavy metal migration, this study investigated the adsorption behavior of copper-impregnated pyrolytic carbon toward typical pollutants—methylene blue and lead—in simulated dyeing wastewater. Aqueous copper nitrate was used to impregnate the waste pure cotton textiles (WPCTs) to introduce copper species as precursors for creating additional active sites. The study systematically examined adsorption mechanisms, single and binary adsorption systems, adsorption kinetics, adsorption isotherms, adsorption thermodynamics, and the influence of pH. Key findings and conclusions are as follows: Under optimal conditions, the copper-containing biochar (Cu-BC) demonstrated maximum adsorption capacities of 36.70 ± 1.54 mg/g for Pb(II) and 104.93 ± 8.71 mg/g for methylene blue. In a binary adsorption system, when the contaminant concentration reached 80 mg/L, the adsorption capacity of Cu-BC for Pb(II) was significantly enhanced, with the adsorption amount increasing by over 26%. However, when the Pb(II) concentration reached 40 mg/L, it inhibited the adsorption of contaminants, reducing the adsorption amount by 20%. SEM, XRD, Cu LMM, FTIR and XPS result analysis proves that the adsorption mechanism of methylene blue involves π–π interactions, hydrogen bonding, electrostatic interactions, and pore filling. For Pb(II) ions, the adsorption likely occurs via electrostatic interactions, complexation with functional groups, and pore filling. This study supplements the research content on the copper adsorption mechanism supported by biochar for heavy metal adsorption research and broadens the application scope of biochar in the field of heavy metal adsorption. Full article

High-performance nylon 6,6 webbings used in critical applications degrade under solar exposure, necessitating reliable methods to assess their residual strength non-destructively. This study investigates the feasibility of using instrumental color change as a predictive indicator for the loss of breaking strength. Four colors of nylon 6,6 webbings were subjected to accelerated xenon-arc solar weathering for up to 15 days. The resulting color change was quantified using both the CIELab and CIEDE2000 formulas, and residual breaking strength was measured following ASTM D6775. A regression analysis was performed to correlate these properties. The results demonstrate that a strong predictive relationship exists, but its efficacy is highly color-dependent. Webbing with high initial chroma, namely tan (R² = 0.889) and navy (R² = 0.817), showed a strong correlation between color change and strength loss. In contrast, the models for low-chroma black and white webbings were weak and unreliable. Furthermore, the simpler CIELab (ΔE*_ab) formula provided slightly more accurate predictions than the more complex CIEDE2000 (ΔE*₀₀) metric. It is concluded that colorimetry can be a viable non-destructive tool for predicting mechanical degradation, but its application is limited to specific high-chroma materials, precluding a universal model based entirely on colorimetry. Full article

The problem of textile industry waste has become increasingly relevant. Recycling clothing industry waste to build acoustic panels is one of the most popular and relatively inexpensive ways to use clothing industry waste. We see a lack of information on the acoustic properties of panels made from waste from the clothing industry. The aim of this research is to determine the acoustic properties of a wide range of clothing industry waste recycled into acoustic panels. The acoustic panels were made from clothing industry waste, a different composition of textile and paper residues generated during digital printing processes. We see that panels made from square-cut scraps knitted and woven fabrics, and from yarns and fibers have relatively good acoustic properties. The panel made only of paper had good acoustic properties, the production of panels from paper and textile resulted in similar acoustic properties. Analyzing the acoustic properties of the double specimen, it was found that testing the double-layered panels, the insertion loss is better; by tripling the samples, it was found that although the acoustic properties improved, they were only marginal. Cellulose fiber boards were characterized by significantly higher air resistance. The air resistance of the boards made from fabric scraps was lower. Full article

The rapid evolution of innovative materials and their 4D printing on fabrics allows textiles to change shape or properties when exposed to external stimuli. This work reviews the fundamentals of 4D printing, briefly revisiting additive manufacturing technology and materials, as both are extensively described in various articles and reviews. It also outlines the advancements in smart textiles and their functionality as multifunctional fabrics. The review focuses primarily on reviewing the technical foundations and emerging applications of 4D-printed smart polymers and their integration onto passive textiles for smart applications. Finally, a critical review is presented, emphasizing the numerous individual developments undertaken not only in academia but also by young students, independent engineers, and entrepreneurs who showcase their progress and various challenges through social media. Easy access to knowledge, digital communication, and an interest in creating new materials and structures with a relatively low budget will allow the advancement and development of 4D printing processing strategies for functional materials, promoting the creation of intelligent and adaptive textile systems. Full article

Predicting the thermo-physiological comfort of technical clothing requires an understanding of how microscopic textile structures influence macroscopic properties such as air, heat, and moisture permeability. This work represents the first step towards a multi-scale predictive tool capable of estimating key comfort-related properties from the geometrical features of woven fabrics. Focusing on air permeability, the effect of structural and design parameters was investigated while keeping the fibre material (cotton) constant. A computational framework that combines validated Computational Fluid Dynamics (CFD) simulations with a Fully Connected Neural Network (FCNN) was developed, enabling fast and accurate predictions before production. The CFD model accounts for both intra- and inter-yarn porosity, ensuring reliability across a wide range of fabric configurations. The FCNN, trained on simulation and literature data, achieved a mean absolute relative error of 2.01% and a maximum error of 7.72%, demonstrating excellent agreement with experimental results. The analysis highlights how weave type and yarn density govern airflow resistance, offering an efficient tool for the design and optimisation of breathable technical textiles. Full article

A methodology for predicting the thermal insulation of textiles based on their heat loss is described. The principle is based on measuring the electrical power input of a heating element and calculating the degree of insulation based on the real-time required to cool or heat the heating element by 1 °C and the cooling time, as determined by the semi-infinite layer cooling model. Heat loss is calculated based on the heat transfer inside the heating plate when the textile is placed directly on its surface, as well as in the case of an air gap between the heating plate and the textile. A model for predicting heat loss is proposed. The model considers the thermal difference and air flow velocity for various numbers of textile layers, as well as for different types of textile placement relative to the heating plate. Full article

Compression garments are widely employed in medical and sports contexts for their ability to promote venous return, manage oedema, support musculoskeletal function, and enhance athletic recovery. Advances in textile-based compression systems have been driven by innovations in fibres, yarn structures, fabric structure engineering, and design methods. This review critically examines the current literature on compression garments, highlighting the influence of raw materials and yarn architectures on performance, durability, and wearer comfort. Attention is given specially to fabric structures and manufacturing methods, where the evolution from traditional cut-and-sew methods to advanced seamless, flatbed, and circular knitting technologies is highlighted, along with their impact on pressure distribution and overall garment efficacy. The integration of 3D body scanning, finite element analysis, and predictive modelling, which enables more personalised and precise garment design, is also speculated upon. Moreover, the review highlights testing and evaluation methodologies, spanning both in vivo and in vitro based assessments, pressure sensor studies for real-time monitoring, and theoretical models mostly based on Laplace’s law. This literature survey provides a foundation for future innovations aimed at optimising compression garment design for both therapeutic and athletic use. Full article

Tissue-mimicking phantoms that accurately replicate human tissue are crucial for validating and optimizing elastography systems and developing new treatment methods. The use of waste-based fibrous structures has the dual benefits of waste reduction and economic viability, mitigating the environmental consequences associated with the textile industry and, thus, posing a particularly interesting avenue of research in today’s ever-more environmentally conscious society. This work explores the development of elastography phantoms through the use of textile waste for sustainable valorization. Two cotton-short fiber-based and two polyester-nonwoven-based phantoms were produced by impregnating these textile structures with animal-origin gelatin. These materials were characterized by scanning electron microscopy (SEM), revealing that the diameter of the waste-based fibers (15.28 ± 6.18–22.40 ± 5.78 μm) falls within the typical size range of scatterers used in acoustic phantoms. It was observed that these fibers provided phantoms with intrinsic acoustic scattering properties, resulting in ultrasound images similar to those obtained in biological tissues. Shear wave elastography (SWE) was used to assess the stiffness of the phantoms, which produced realistic ultrasound images with shear wave speed (SWS) values ranging from 1.87 m s⁻¹ to 8.39 m s⁻¹, closely resembling those in different anatomical structures. This research presents an innovative methodology for producing low-cost and sustainable tissue-mimicking materials, underscoring the potential of textile industry waste for phantom production. Full article

Spider silk, as a natural polymer fiber, possesses high tensile strength, good toughness, as well as unique thermal, optical, and biocompatibility properties. It has attracted much attention in various fields. The field of optical fiber sensors has a promising future. Given the excellent performance of spider silk, introducing spider silk into the field of optical fiber sensors can broaden its application scope. This paper comprehensively reviews the outstanding characteristics of spider silk and spider silk sensors based on these characteristics, such as pH sensors, breath humidity sensors, cell temperature sensors, and blood glucose sensors applied in living organisms, as well as magnetic field sensors and refractive index sensors applied in industrial fields. It also analyzes in detail the problems faced during the collection and synthesis of spider silk, aiming to provide a reference for research on the application of spider silk in the field of optical fiber sensors. Full article

Cotton fiber length and maturity, two critical fiber qualities, are commonly determined in the U.S. by Uster high volume instrument (HVI) and advanced fiber information system (AFIS). The main objectives of this investigation were to compare how HVI lengths agree with AFIS lengths and to examine whether the fiber length is linked with fiber maturity between the Universal HVI length calibration cotton standards and diverse upland lint samples. HVI micronaire (MIC) and AFIS fineness showed insignificant differences from HVI length calibration cotton standards to lint samples. Although there were strong and significant correlations between HVI upper-half mean length (UHML) and either AFIS UQL (w) or AFIS L5% (n), the relationship between UHML and L5% (n) was better suited than between UHML and UQL (w) in scrutinizing fiber lengths. Meanwhile, analysis revealed a moderate correlation between AFIS L5% (n) length and AFIS maturity ratio (MR), indicating the possibility of improving AFIS L5% (n) length by regulating fiber MR development. Further, AFIS MR values were positive and moderate correlated with algorithmic M_IR values of attenuated total reflection Fourier transform infrared (ATR FT-IR) spectra. The results suggested the feasibility of the ATR FT-IR method along with M_IR analysis in estimating AFIS MR rapidly away from fiber testing laboratories. Full article

The growing volume of textile waste discarded in the general rest fraction presents a critical challenge to achieving a circular economy. This study provides a comprehensive material characterization of 382.7 kg of textile waste, comprising 1682 individual pieces collected from general waste containers in Catalonia, Spain, with the aim of assessing their potential for high-value recycling. The analysis confirmed this stream consists predominantly of post-consumer textiles (97.3%). Its relevance lies in its composition: mono-component items dominate (54.0% by weight), mainly composed of cotton (51.6%) and polyester (28.4%). This prevalence of mono-material items suggests a substantial, and currently underestimated, volume of recoverable resources and confirms a high recycling potential. However, the study also identifies major challenges for the recovery of this waste stream. On the one hand, it exhibits a high degree of contamination, both in terms of moisture, dirtiness and non-textile disruptors (48.0% by weight), which increases the cost and complexity to the recycling workflow and directly impacts its current viability. On the other hand, the quantitative composition determined by Near-Infrared (NIR) spectroscopy agreed with the ISO 1833 standard in only 37.9% of cases, critically exposing the technological limitations of current automated techniques for quantitative analysis in textiles made of fiber blends. Despite these limitations, the findings are highly relevant for guiding strategic investments in infrastructure, technology, and policy to unlock the full potential of this high-volume waste as a resource. Full article

Electrospinning has advanced from a lab technique to an industrial method, enabling modern filters that are high-performing, sustainable, recyclable, and non-toxic. This study produced recycled PA6 nanofibers using green solvents and incorporated non-toxic CuO nanoparticles via industrial free-surface electrospinning. Polymer solutions with concentrations of 12.5, 15.0 and 17.5 (w/v)% were electrospun directly onto recyclable polypropylene spunbond/meltblown nonwoven substrates to produce nanofibers with average fiber sizes of 80–250 nm. Electrospinning parameter optimization revealed that the 12.5 wt.% PA6 solution and the 2–3 mm·s⁻¹ winding speed had the optimal performance, attaining 98.06% filtering efficiency and a 142 Pa pressure drop. The addition of 5 wt.% CuO nanoparticles increased the membrane density and reduced the pressure drop to 162 Pa, thereby improving the filtration efficiency to 98.23%. Bacterial and viral filtration studies have demonstrated pathogen retention above 99%. Moreover, antibacterial and antiviral testing has demonstrated that membranes trap and inactivate microorganisms, resulting in a 2.0 log (≈approximately 99%) reduction in viral titer. This study shows that recycled PA6 can be converted into high-performance membranes using green, industrial electrospinning, introducing innovations such as non-toxic CuO functionalization and ultra-fine fibers on recyclable substrates, yielding sustainable filters with strong antimicrobial and filtration performance, which are suitable for personal protective equipment and medical filtration. Full article

This study investigates how cultural and natural heritage can inform surface design for fashion, focusing on the development of a capsule collection of geoproducts in the UNESCO Global Geopark of Caçapava do Sul, Brazil. The purpose is to expand the scope of existing geoproducts, often limited to food and souvenirs, by introducing textile-based items that reflect local identity and contribute to sustainability. The research employed an applied, qualitative, and descriptive approach, including bibliographic review, questionnaires with local artisans, and the mapping of existing geoproducts. Data were analyzed through content analysis, and the creative process followed the method of cross-fertilization, which stimulates innovation by combining knowledge from design, geology, and craftsmanship. The design process was organized into four phases—preparation, generation of alternatives, selection, and realization—culminating in the capsule collection Aflora. The collection comprised two thematic lines: Cactaceae, inspired by endemic flora, and Geo, based on local geomonuments. The results demonstrate that surface design can mediate the relationship between fashion and heritage, producing identity-driven and innovative textile products. Three surface-design modules were produced, six product mockups, and two geoproduct prototypes, developed with materials such as wool, felt, sarja, and cotton fabrics. The study contributes theoretically by linking apparel design with heritage valorization, and practically by proposing a replicable model for geoproduct development. Limitations relate to the single case study and qualitative scope, suggesting future research on replication, eco-friendly printing, and market feasibility. Full article