A Robust Core-Shell Nanofabric with Personal Protection, Health Monitoring and Physical Comfort for Smart Sportswear.

Smart textiles with a high level of personal protection, health monitoring, physical comfort, and wearing durability are highly demanded in clothing for harsh application scenarios, such as modern sportswear. However, seamlessly integrating such a smart clothing system has been a long-sought but challenging goal. Herein, based on coaxial electrospinning techniques, a smart non-woven textile (Smart-NT) integrated with high impact resistance is developed, multisensory functions, and radiative cooling effects. This Smart-NT is comprised of core-shell nanofibers with an ionic conductive polymer sheath and an impact-stiffening polymer core. The soft smart textile, with a thickness of only 800 µm, can attenuate over 60% of impact force, sense pressure stimulus with sensitivity up to 201.5 kPa-1, achieve temperature sensing resolution of 0.1 °C, and reduce skin temperature by ≈17 °C under a solar intensity of 1 kW m-2. In addition, the stretchable Smart-NT is highly durable and robust, retaining its multifunction features over 10 000 bending and multiple washing cycles. Finally, application scenarios are demonstrated for real-time health monitoring, body protection, and physical comfort of smart sportswear based on Smart-NT for outdoor sports. The strategy opens a new avenue for seamless integration of smart clothing systems.

Study on Fenton-based discoloration of reactive-dyed waste cotton prior to textile recycling.

The aim of this study is to investigate the feasibility of an alternative Fenton-based advanced oxidation process for the discoloration of reactive-dyed waste cotton as a pre-treatment for textile recycling. For that, pre-wetted dark-colored (black and blue) knitted samples of 300 cm2 are treated in 1200mL Fenton-solution containing 14 mM Fe2+ and 280mM H2O2 at 40 °C. Characterization of the textiles before and after the treatments are performed by UV VIS-spectrophotometry measuring color strength, microscopy, FTIR spectroscopy, thermal analysis and tensile testing measuring tenacity and elongation. Afterwards, the cotton is mechanically shredded for qualitative analysis of the recyclability. The color-strength measurements of the black and blue cotton led to discoloration-efficiencies of respectively 61.5 and 72.9%. Microscopic analysis of discolored textile fabric also showed significant fading of the colored textiles. Mechanical analysis resulted in reduced tensile strength after treatment, indicating oxidation of the cellulosic structure besides the degradation of the dye-molecules, also confirmed by reductions in thermal stability found after thermal analysis. Shredding of the fabric resulted in enhanced opening, but shorter remaining fibers after treatment. The findings of this study provide a proof-of-concept for an alternative color-stripping treatment concerning a Fenton-based advanced oxidation process as a pre-treatment for textile recycling.

Industry-Scalable Reusable Textile Electrodes for Neurostimulation Applications.

Neurostimulation delivers electrical pulses to modulate neuromuscular activity. Commonly used in medical interventions from pain relief to rehabilitation, neurostimulation typically uses manually placed hydrogel electrodes over the treated region. However, this method limits interventions requiring frequent, long-term daily use. To address this, novel fully textile electrodes are developed using industrial programmable knitting machines. These electrodes are designed to be washable, reusable, flexible, and breathable, with embedded interconnects. Textile electrodes are made of yarns with stainless steel and PEDOT-coated stainless steel conductive components. The electrodes' performance are compared with gel electrodes, characterizing impedance, sensorimotor stimulation thresholds, recruitment of induced movements, sensation levels, and perceived sensations. The effects of residential wash cycles and continuous use duration are also investigated. The proposed electrodes are found to perform similarly to hydrogel electrodes in all characterized metrics. No degradation in electrode performance is found after at least 30 wash cycles. Electrodes remained functionally intact after 1000 cycles of stretch loading at 50% of break strain. The textile electrodes consistently induced comfortable sensorimotor responses for at least six hours after donning. The proposed textile electrodes offer a novel and effective solution for neurostimulation interventions, paving the way for integration into smart garments and long-term wearable health technologies.

Low-Contact Impedance Textile Electrode for Real-Time Detection of ECG Signals.

The quality of the electrocardiography (ECG) signals depends on the effectiveness of the electrode-skin connection. However, current electrocardiogram electrodes (ECGE) often face challenges such as high contact impedance and unstable conductive networks, which hinder accurate measurement during movement and long-term wearability. Herein, in this work, a bionic 3D pile textile as an ECGE with high electrical conductivity and flexibility is prepared by a facile, continuous, and high-efficiency electrostatic self-assembly process. Integrating pile textiles with conductive materials creates a full textile electrode for bioelectrical signal detection that can retain both the inherent characteristics of textiles and high conductivity. Moreover, the dense piles on the textile surface make full contact with the skin, mitigating motion artifacts caused by the sliding between the textile and the skin. The continuous conductive network formed by the interconnected piles allows the pile textile ECGE (PT-ECGE) to function effectively under both static and dynamic conditions. Leveraging the unique pile structure, the PT-ECGE achieves superior flexibility, improved conductivity, low contact impedance, and high adaptivity, washability, and durability. The textile electrode, as a promising candidate for wearable devices, offers enormous application possibilities for the unconscious and comfortable detection of physiological signals.

A Sustainable Solution for the Adsorption of C.I. Direct Black 80, an Azoic Textile Dye with Plant Stems: Zygophyllum gaetulum in an Aqueous Solution.

The presence of pollutants in water sources, particularly dyes coming by way of the textile industry, represents a major challenge with far-reaching environmental consequences, including increased scarcity. This phenomenon endangers the health of living organisms and the natural system. Numerous biosorbents have been utilized for the removal of dyes from the textile industry. The aim of this study was to optimize discarded Zygophyllum gaetulum stems as constituting an untreated natural biosorbent for the efficient removal of C.I. Direct Black 80, an azo textile dye, from an aqueous solution, thus offering an ecological and low-cost alternative while recovering the waste for reuse. The biosorbent was subjected to a series of characterization analyses: scanning electron microscopy (SEM), thermogravimetric analysis (TGA), Brunauer-Emmett-Teller (BET) method, X-ray diffraction (XRD), and infrared spectroscopy (IR) were employed to characterize the biosorbent. Additionally, the moisture and ash content of the plant stem were also examined. The absorption phenomenon was studied for several different parameters including the effect of the absorption time (0 to 360 min), the sorbent mass (3 to 40 g/L), the pH of the solution (3 to 11), the dye concentration (5 to 300 mg/L), and the pH of the zero-charge point (2-12). Thermodynamic studies and desorption studies were also carried out. The results showed that an increase in plant mass from 3 to 40 g/L resulted in a notable enhancement in dye adsorption rates, with an observed rise from 63.96% to 97.08%. The pH at the zero-charge point (pHpzc) was determined to be 7.12. The percentage of dye removal was found to be highest for pH values ≤ 7, with a subsequent decline in removal efficiency as the pH increased. Following an initial increase in the amount of adsorbed dye, equilibrium was reached within 2 h of contact. The kinetic parameters of adsorption were investigated using the pseudo-first-order, pseudo-second-order and Elovich models. The results indicated that the pseudo-first-order kinetic model was the most appropriate for the plant adsorbent. The isotherm parameters were determined using the Langmuir, Frendlich, Temkin, and Dubinin-Radushkevich models. The experimental data were more satisfactory and better fitted using the Langmuir model for the adsorption of dye on the plant. This study demonstrated that Zygophyllum gaetulum stems could be employed as an effective adsorbent for the removal of our organic dye from an aqueous solution.

Utilization of Tea Polyphenols as Color Developers in Reversible Thermochromic Dyes for Thermosensitive Color Change and Enhanced Functionality of Polyester Fabrics.

Thermochromic textiles possess the capability to indicate ambient temperature through color changes, enabling real-time temperature monitoring and providing temperature warnings for body heat management. In this study, three thermochromic dyes-blue, red, and yellow-were synthesized using crystalline violet lactone (CVL), 6'-(diethylamino)-1',3'-dimethyl-fluoran (DDF), and 3',6'-dimethoxyfluoran (DOF) as leuco dyes, respectively, with biomass tea polyphenol serving as the color developer and tetradecanol as the phase change material. The chemical structures of these dyes were characterized using UV spectroscopy, infrared spectroscopy, Raman spectroscopy and 1H NMR. The thermochromic mechanisms were investigated, revealing that the binding bonds between the leuco dyes and the color developer broke and reorganized with temperature changes, imparting reversible thermochromic property. Polyester fabrics were dyed using an impregnation method to produce three reversible thermochromic fabrics in blue, red, and yellow. The structure and properties of these fabrics were analyzed, showing a significant increase in the UPF value from 26.3 to approximately 100, indicating enhanced UV resistance. Water contact angle measurements revealed that the contact angle of undyed polyester fabrics was 139°, while that of dyed polyester fabrics decreased by about 40°, indicating improved hydrophilicity. Additionally, the fabric inductive static tester showed that the static voltage half-life of dyed polyester fabric was less than 1 s, demonstrating a significant antistatic effect. Infrared thermal imaging results indicated that during the warming and cooling process, the thermochromic polyester fabric exhibited specific energy storage and insulation effects at 38 °C, close to the human body temperature. This study presented a novel approach to developing smart color-changing textiles using biomass-derived thermochromic dyes, offering diverse materials for personal thermal management, and intelligent insulation applications.

A Systematic Review of AI-Driven Prediction of Fabric Properties and Handfeel.

Artificial intelligence (AI) is revolutionizing the textile industry by improving the prediction of fabric properties and handfeel, which are essential for assessing textile quality and performance. However, the practical application and translation of AI-predicted results into real-world textile production remain unclear, posing challenges for widespread adoption. This paper systematically reviews AI-driven techniques for predicting these characteristics by focusing on model mechanisms, dataset diversity, and prediction accuracy. Among 899 papers initially identified, 39 were selected for in-depth analysis through both bibliometric and content analysis. The review categorizes and evaluates various AI approaches, including machine learning, deep learning, and hybrid models, across different types of fabric. Despite significant advances, challenges remain, such as ensuring model generalization and managing complex fabric behavior. Future research should focus on developing more robust models, integrating sustainability, and refining feature extraction techniques. This review highlights the critical gaps in the literature and provides practical insights to enhance AI-driven prediction of fabric properties, thus guiding future textile innovations.

Emission of fibres from textiles: A critical and systematic review of mechanisms of release during machine washing.

Research about health and environmental impacts of pollution caused by natural and plastic fibres is increasing, however, the role of textile characteristics in microfibre release during washing remains poorly understood. Given that machine washing is thought to be the main contributor to microfibre pollution, we systematically and critically reviewed previous publications looking at how textile features affect fibre emissions during washing. We examined the evidence related to findings from previous studies based on their research aims, ability to control variables that could confound results, use of procedural blanks and controls, and statistical methodologies. We observed that small-scale laboratory equipment frequently used to evaluate microfibre release (e.g. Gyrowash) generates significantly more fibres than domestic washing machines and should not be used to generate environmental estimations. Our findings have implications for ecotoxicology and risk assessment, particularly regarding the overlooked role of natural and cellulosic fibres. While synthetic fibres are widely recognised as the dominant form of microplastic in the environment, environmental surveys often report larger numbers of natural and cellulosic fibres. These fibres, however, account for only 18 % of those tested in the experiments analysed, indicating the need for further research to understand the underlying causes of their release. We concluded that although many textile characteristics are perceived as having an impact on fibre release, 81 % of studies failed to demonstrate clear evidence of the findings associated with such impacts. This work highlights the need for robust experiments to clarify these gaps, which could then allow the development of textiles with minimised shedding potential. We propose a stepwise approach to first build a foundational understanding of how individual washing parameters and textile features influence fibre release, followed by exploring the complexity of how the interaction between these variables impacts emissions.

Applications and environmental impact of biodegradable polymers in textile industry: A review.

With the increasing global population, the disposal of waste has risen, especially over the last century. The Environmental Protection Agency (EPA) reported that 11 million tons of textile-related waste were landfilled in the USA in 2018, and this amount is projected to increase to 4.5 billion tons by 2040. Bio-based polymers have gained attention due to their remarkable properties. The most important biodegradable polymers include PLA, PHA, PHB, PCL, PBS, bamboo fibers, and banana fibers. Global biopolymer production capacity is expected to rise significantly, from around 2.18 million tons in 2023 to approximately 7.43 million tons by 2028. In the textile industry, the linear waste model presents numerous challenges, such as environmental damage and resource shortages. Shifting from a linear to a circular economy is essential to address these issues. Reducing, reusing, and recycling are the three key actions and strategies that form the foundation of the circular economy. This paper presents the current state of knowledge and technological advancements in biodegradable polymers in the textile industry, along with their products and applications. The study explores the cost-effectiveness, limitations, opportunities, and advancements in their manufacturing technologies. Biodegradable polymers in the textile sector are regarded as green alternatives to non-biodegradable polymers.

Green Advances in Wet Finishing Methods and Nanoparticles for Daily Textiles.

This work presented an overview of greener technologies for realizing everyday fabrics with enhanced antibacterial activity, flame retardancy, water repellency, and UV protection. Traditional methods for improving these qualities in textiles involved dangerous chemicals, energy and water-intensive procedures, harmful emissions. New strategies are presented in response to the current emphasis on process and product sustainability. Nanoparticles (NPs) are suggested as a potential alternative for hazardous components in textile finishing. NPs are found to efficiently decrease virus transmission, limit combustion events, protect against UV radiation, and prevent water from entering, through a variety of mechanisms. Some attempts are made to increase NPs efficiency and promote long-term adherence to textile surfaces. Traditional wet finishing methods are implemented through a combination of advanced green technologies (plasma pre-treatment, ultrasound irradiations, sol-gel, and layer-by-layer self-assembly methods). The fibrous surface is activated by adding functional groups that facilitate NPs grafting on the textile substrate by basic interactions (chemical, physical, or electrostatic), also indirectly via crosslinkers, ligands, or coupling agents. Finally, other green options explore the use of NPs synthesized from bio-based materials or hybrid combinations, as well as inorganic NPs from green synthesis to realize ecofriendly finishing able to provide durable and protective fabrics.

Wool powder assisted colorimetric sensing yarn with high sensitivity for NH3 monitoring.

Colorimetric sensors have applications in gas monitoring due to their simple and quick detection through visible color changes. However, it remains challenging to prepare colorimetric sensors with high sensitivity. Herein, this work fabricated a biomass-based colorimetric sensing yarn with high sensitivity using anthocyanins as the colorimetric dye and wool powder as an effective ammonia (NH3) adsorbent. The sensitivity of the prepared yarns was evaluated for detection limit and response time. Surprisingly, the addition of 3% wool powder greatly improved the sensitivity of the prepared yarns, with a reduction of both detection limit and responsive time from 100 ppm to 20 ppm, and 2 min to 20 s, respectively when exposed in 150 ppm NH3. The prepared yarns also showed good selectivity and reusability. An example of the practical use of colorimetric yarns was presented. This work provides a facile strategy for fabricating wearable devices for toxic gas monitoring with visual output.

Automated model discovery for textile structures: The unique mechanical signature of warp knitted fabrics.

Textile fabrics have unique mechanical properties, which make them ideal candidates for many engineering and medical applications: They are initially flexible, nonlinearly stiffening, and ultra-anisotropic. Various studies have characterized the response of textile structures to mechanical loading; yet, our understanding of their exceptional properties and functions remains incomplete. Here we integrate biaxial testing and constitutive neural networks to automatically discover the best model and parameters to characterize warp knitted polypropylene fabrics. We use experiments from different mounting orientations, and discover interpretable anisotropic models that perform well during both training and testing. Our study shows that constitutive models for warp knitted fabrics are highly sensitive to an accurate representation of the textile microstructure, and that models with three microstructural directions outperform classical orthotropic models with only two in-plane directions. Strikingly, out of 214=16,384 possible combinations of terms, we consistently discover models with two exponential linear fourth invariant terms that inherently capture the initial flexibility of the virgin mesh and the pronounced nonlinear stiffening as the loops of the mesh tighten. We anticipate that the tools we have developed and prototyped here will generalize naturally to other textile fabrics-woven or knitted, weft knit or warp knit, polymeric or metallic-and, ultimately, will enable the robust discovery of anisotropic constitutive models for a wide variety of textile structures. Beyond discovering constitutive models, we envision to exploit automated model discovery as a novel strategy for the generative material design of wearable devices, stretchable electronics, and smart fabrics, as programmable textile metamaterials with tunable properties and functions. Our source code, data, and examples are available at https://github.com/LivingMatterLab/CANN. STATEMENT OF SIGNIFICANCE: Textile structures are rapidly gaining popularity in many biomedical applications including tissue engineering, wound healing, and surgical repair. A precise understanding of their unique mechanical properties is critical to tailor them to their specific functions. Here we integrate mechanical testing and machine learning to automatically discover the best models for knitted polypropylene fabrics. We show that warp knitted fabrics possess a complex symmetry with three distinct microstructural directions. Along these, the behavior is dominated by an exponential linear term that characterize the initial flexibility of the virgin mesh and the nonlinear stiffening as the loops of the fabric tighten. We expect that our technology will generalize naturally to other fabrics and enable the robust discovery of complex anisotropic models for a wide variety of textile structures.

Diverse applications of versatile quaternized chitosan salts: A review.

In the ever-evolving world of materials science, modifying natural polymers has garnered significant attention across diverse industries, driven by their inherent availability and cost-effectiveness. Among these, chitosan, a pseudo-natural cationic polymer, has emerged as a versatile player, finding applications in medical, pharmaceutical, filtration, and textile sectors, owing to its exceptional biodegradability, non-allergenicity, antimicrobial properties, and eco-friendly nature. However, the limitations of chitosan, such as low surface area, poor solubility at neutral to alkaline pH, and inadequate thermal-mechanical properties, have prompted researchers to explore innovative modification strategies, including graft copolymerization, quaternization, and cross-linking. This review delves into the remarkable potential of a specific chitosan derivative, N-[(2-hydroxy-3-trimethylammonium) propyl] chitosan salts (N-HTCS), a quaternized form of chitosan. This review uniquely examines the properties and multifaceted applications of N-HTCS, spanning biomedical, textile, food packaging, and environmental domains. The outstanding features of N-HTCS, including antioxidant, anticancer, and antimicrobial bioactivity, as well as biocompatibility, biodegradability, hemostatic, piezoelectric, superparamagnetic, water solubility, and permeation-enhancing effects, offer novel solutions to the limitations of unmodified chitosan. Notably, while previous reviews have addressed the significance of chitosan, this work presents a groundbreaking focus on the N-HTCS derivative, providing a fresh perspective and paving the way for the design and engineering of cutting-edge N-HTCS-based devices and applications. The comprehensive coverage of this review aims to inspire researchers and industry professionals to explore the untapped potential of this remarkable chitosan derivative, unlocking new frontiers in material science and technology.

Proteomic biomarkers of long-term lung function decline in textile workers: a 35-year longitudinal study.

BACKGROUND: Occupational exposures contribute significantly to obstructive lung disease among textile workers. However, biomarkers associated with such declines are not available. OBJECTIVES: We conducted a large-scale proteomic study to explore protein biomarkers potentially associated with long-term lung function decline. METHODS: Shanghai Textile Workers Cohort was established in 1981 with 35 years of follow-up, assessing textile workers' lung functions every five years. Quantitative serum proteomics was performed on all 453 workers at 2016 survey. We employed four distinct models to examine the association between forced expiratory volume in one second (FEV1) and proteins, and consolidated the findings using an aggregated Cauchy association test. Furthermore, proteomic data of UK Biobank (UKB) was used to explore the associations of potential protein markers and decline of FEV1, and the interactions of these proteins were examined through STRING database. Associations were also externally validated using two-sample Mendelian randomizations (MR). RESULTS: 15 of 907 analyzed proteins displayed potential associations with long-term FEV1 decline, including two hemoglobin subunits: hemoglobin subunit beta (HBB, FDR-qACAT = 0.040), alpha globin chain (HBA2, FDR-qACAT = 0.045), and four immunoglobulin subunits: immunoglobulin kappa variable 3-7 (IGKV3-7, FDR-qACAT = 0.003), immunoglobulin heavy chain variable region (IgH, FDR-qACAT = 0.011). Five proteins were significantly associated with the rate of decline of FEV1 in UKB, in which RAB6A, LRRN1, and BSG were also found to be associated with proteins identified in Shanghai Textile Workers Cohort using STRING database. MR indicated bidirectional associations between HBB and FEV1 (P < 0.05), while different immunoglobulin subunits exhibited varying associations with FEV1. IMPACT STATEMENT: We performed a large-scale proteomic study of the longest-follow-up pulmonary function cohort of textile workers to date. We discovered multiple novel proteins associated with long-term decline of FEV1 that have potential for identifying new biomarkers associated with long-term lung function decline among occupational populations, and may identify individuals at risk, as well as potential pharmaceutical targets for early intervention.

Thermo-Chemo-Mechanically Robust, Multifunctional MXene/PVA/PAA-Hanji Textile with Energy Harvesting, EMI Shielding, Flame-Retardant, and Joule Heating Capabilities.

The rapid development of wearable electronics, personal mobile equipment, and Internet of Things systems demands smart textiles that integrate multiple functions with enhanced durability. Herein, the study reports robust and multifunctional textiles with energy harvesting, electromagnetic interference (EMI) shielding, flame resistance, and Joule heating capabilities, fabricated by a facile yet effective integration method using the deposition of cross-linked MXene (Ti3C2Tx), poly(vinyl alcohol) (PVA), and poly(acrylic acid) (PAA) onto traditional Korean paper, Hanji via vacuum filtration. Comprehensive analyses confirm robust cross-linking, structural integrity, and interface stability in the MXene/PVA/PAA-Hanji (MPP-H) textiles, which synergistically boost their multifunctional performance. The MPP-H textiles exhibit remarkable power generation lasting over 60 min with a power density of 102.2 µW cm-3 and an energy density of 31.0 mWh cm-3 upon the application of 20 µL of NaCl solution. The EMI shielding effectiveness (SE) per unit thickness in the X-band (8.2-12.4 GHz) is up to 437.6 dB mm-1, with the ratio of absorption to reflection reaching 4.5, outperforming existing EMI shielding materials. Superior thermo-chemo-mechanical properties (flame resistance, rapid Joule heating, durability, and washability) further demonstrate their versatile usability. The MPP-H enables diverse functionalities within a single, robust textile through a scalable fabrication method, offering transformative potential for wearable and mobility platforms.

Utilization of Aspergillus niger for the fermentative production of azaphilone dye in YEPB medium.

The current research focuses on the production and optimization of a natural yellowish-brown Azaphilone dye using Aspergillus niger. A variety of culture media were tested to ascertain the best conditions for dye synthesis. The formation of the yellowish-brown dye was confirmed by a color shift in the reaction mixture, and UV-Vis spectroscopy detected the dye at 450 nm. Static conditions were found to be more favorable than shaking for higher dye yields, and fed-batch fermentation was more effective than batch fermentation. Maximum dye production was achieved after 28 days of incubation. Factors such as temperature, pH, and inoculum percentage were shown to influence dye synthesis, with the highest production (2.5 ml) occurring at 30 °C, pH 7, and a 3% spore suspension in yeast extract peptone broth (YEPB) medium under static conditions. Gas chromatography-mass spectrometry (GC-MS) analysis validated the presence of Azaphilone dye in the culture filtrate. The dye was successfully applied to a pretreated cotton cloth. These findings advance our understanding of optimizing fungal dye production for sustainable and eco-friendly textile coloration applications. This study appears to be the first of its kind to report azaphilone dye production by A. niger in the YEPB medium.

Association between personal attenuation rating with types of earplugs and noise exposure levels in a textile factory in China.

OBJECTIVE: To investigate the effects of earplug type and noise exposure level on textile workers' personal attenuation rating (PAR). DESIGN: Initial and follow-up visits were conducted at a 17-month interval. At each visit, a baseline HPD fit test was performed using either a 3M foam or pre-molded earplug, as chosen by the workers. Workers who failed to meet targeted levels were trained and retested. Once they failed again, the other earplug was selected, and training was provided until they achieved the PAR target. STUDY SAMPLE: 192 textile workers into three noise exposure level groups (low, medium, high). RESULTS: The median baseline PAR was 10 dB at the initial visits and 13 dB at the follow-up visits, and obtained by foam earplug users was 20 dB, which was higher than that obtained by pre-molded earplug users [12 dB (95% CI, 10-15 dB)]. The highest median baseline PAR was obtained by the high noise level group, followed by the median and low noise level groups. Training significantly increased the PAR. CONCLUSIONS: Multiple types of earplugs need to be offered to workers to deal with individual differences in attenuation, preferences, and exposure levels. Training and stricter compliance policies can improve HPD use and fitting, contributing to better hearing health.

Electrifying waste textiles: Transforming fabric scraps into high-performance triboelectric nanogenerators for biomechanical energy harvesting.

Textiles are an integral part of daily life globally, but their widespread use leads to significant waste generation. Repurposing these discarded fabrics for energy harvesting offers a sustainable solution to both energy demand and textile waste management. In this study, Textile-based Triboelectric Nanogenerators (T-TENGs) were developed using recycled cloth as tribopositive layers and polyvinyl chloride (PVC) film as the tribonegative layer, with aluminum foil tape serving as electrodes. Five different recycled textiles were evaluated, and Scanning Electron Microscopy (SEM) and Energy-Dispersive X-ray Spectroscopy (EDS) analysis revealed a correlation between yarn structure and carbon content, leading to enhanced triboelectric performance. Silk-based TENG (S-TENG) demonstrated the highest output, with 320.76 V and 8.73 µA, while exhibiting stable performance over 10,000 cycles. Practical applications were explored by integrating T-TENGs into shoe insoles for energy harvesting during walking and jumping, with rayon-based TENG generating up to 208.52 V on a PVC coil mat. This work highlights the dual benefits of waste reduction and sustainable energy applications, making a compelling case for advanced technologies where recycled textiles function as frictional materials to harvest mechanical energy from human motion and convert it into electrical energy for use in flexible sensors and wearable devices.

Revealing nature's beauty through crafting structural color-coated fabrics with bioinspired modification of MXene.

In recent years, there has been a notable shift towards the use of structural colors in textile dyeing, replacing traditional chemical dyes. This change is primarily attributed to the increasing popularity of structural colors due to their eco-friendly characteristics. In thus study, SiO2 particles underwent modification with PDA and Ti3C2Tx (MXene) to establish a core-shell structure, resulting in MSiO2/PDA@MXene photonic crystals characterized by electrostatic assembly and hydrogen bonding. These crystals comprise a SiO2 core encased in black PDA@MXene shells. The PDA@MXene shell works by absorbing scattered light indiscriminately, thereby intensifying the vividness of the structural colors. Adjusting the size of the MSiO2/PDA@MXene microspheres enables the generation of diverse structural colors. Then, chitosan-coated cotton fabrics were decorated using photonic crystals of MSiO2/PDA@MXene. Coating cotton fabric with chitosan introduced positively charged groups onto its surface, which enabled electrostatic interaction with photonic crystals. The prepared fabrics also showed excellent antioxidant property, further enhancing their appeal for outdoor applications. These structural colors offer a sustainable substitute for conventional textile dyes, meeting the increasing need for environmentally conscious practices within the textile sector.