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Abstract

Textile-based triboelectric nanogenerators (TENGs) hold considerable promise as sustainable power sources for wearable electronics, yet their seamless integration into everyday clothing remains a challenge. This paper introduces a scalable woven TENG structure that utilizes core−shell yarns composed of commercially available wool and polyester with an inner copper electrode. The device achieves notable performance with an output voltage of 18.5 V, a current of 3.7 µA, and a power density of 51 mW/m². The novel multilayer design combines hybrid single-electrode and contact-separation approaches, significantly enhancing triboelectric performance and the device’s durability. The multilayer functionality amplifies energy conversion efficiency by increasing the contact area and optimizing charge accumulation through multiple interacting layers. This advanced textile TENG is comfortable, flexible, and aesthetically pleasing while being compatible with large-scale textile manufacturing processes. It demonstrates excellent washability, durability under diverse weather conditions, and resilience to repeated mechanical loading. Highly responsive to a broad range of forces, from gentle taps to strong impacts, this TENG is versatile for body motion monitoring and wearable applications. It represents a significant advancement in creating practical, efficient, and durable energy-harvesting textiles, with promising applications in garment production for precise motion detection, such as for professional athletes and individuals requiring specialized monitoring.

Keywords

Triboelectric nanogenerators wearable sensors motion monitoring woven wearability

Introduction

Triboelectric nanogenerators (TENGs) have emerged as a pioneering technology for converting mechanical energy into electrical energy, offering a versatile solution for powering wearable devices,¹ sensing applications,² and human motion monitoring³ by utilizing the principles of contact electrification and electrostatic induction.⁴ With the growing demand for flexible, lightweight, and wearable electronics,^5,6 the integration of TENGs into textiles has garnered significant attention.⁷ Textiles, with their inherent flexibility, comfort, and adaptability, provide an ideal platform for wearable TENGs, enabling energy harvesting from human motion,⁸ environmental stimuli, and real-time sensing.^9–11 However, the design of these textile-based devices with sensitive ability, simple fabrication, and low cost is still challenging.

Textile materials play a crucial role in the performance and functionality of triboelectric nanogenerators (TENGs), with woven fabrics standing out as particularly advantageous among the various textile structures. Woven fabrics offer a superior combination of breathability, durability, and mechanical stability compared to knitted, nonwoven, and embroidery¹² fabrics, making them especially suitable for human motion monitoring and other wearable applications.^13,14 The interlacing of yarns in woven textiles creates a dense and uniform structure, which effectively distributes electrical charges across the surface, thereby minimizing internal resistance and enhancing the overall electrical output of TENGs. In contrast, knitted fabrics, while highly flexible and elastic, can suffer from variability in electrical properties due to their looped formation, leading to uneven charge distribution and increased internal resistance. Nonwoven fabrics, though versatile, often lack the durability and breathability required for consistent TENG performance.¹⁵ Moreover, the parallel electrode configuration in a woven structure, compared to the series configuration in a knitted structure, reduces the internal resistance of textile-based triboelectric nanogenerators, significantly enhancing their energy output and efficiency.¹⁶ Additionally, the rigid grid-like structure of woven fabrics provides consistent support for composite yarns that incorporate advanced functionalities such as UV protection, radiative cooling, and antibacterial properties, ensuring these features are effectively distributed and maintained over time.¹⁷ This structural stability also facilitates more precise and scalable production, making woven fabrics more effective for large-scale fabrication and performance in energy harvesting, pressure sensing, and other advanced textile applications.^18–20

Woven structures for TENGs can be engineered using various fabrication techniques that enhance their triboelectric properties and tailor the fabric’s functionality for specific applications. Methods such as layered fabric striping,^21–23 coating,^24,25 wrapping,²⁶ doping,²⁷ 3D printing,²⁸ composite,²⁹ and embedding^30,31 materials into the yarns or fabric are commonly employed. For instance, conductive coatings like silver nanowires, carbon nanotubes, or graphene can be applied to the woven fabric surface to boost electrical conductivity and triboelectric performance. Wrapping individual yarns with conductive metals like copper or silver creates a core-shell structure that maintains fabric flexibility while enhancing electrical output.³² Techniques like layer-by-layer assembly and integrating nanofibers into the woven structure,^33,34 further improve mechanical robustness and triboelectric efficiency. However, these advanced fabrication methods introduce challenges, such as compromising the fabric’s breathability and washability. Incorporating TENGs into garments while retaining the qualities of common apparel remains difficult, and rational design of yarn building blocks and TENG textiles is needed. Additionally, materials like double-sided adhesive and aluminum tape used to construct composite structures can adversely affect air permeability, leading to reduced breathability. Moreover, maintaining mechanical stability during repeated friction and exposure to high temperatures is a concern, as the structural integrity of the fabric may deteriorate under such conditions.

The choice of materials is pivotal in determining the overall performance and wearability of woven TENGs.³⁵ Natural fibers like cotton,³⁶ wool,³⁷ and silk³⁸ are often favored for their comfort, softness, and biodegradability, making them suitable for wearable applications. However, these materials typically exhibit lower triboelectric output, which necessitates the integration of conductive elements to enhance their performance. Synthetic commercial fibers such as polyester,^39,40 nylon,⁴¹ and polypropylene⁴² are more durable and compatible with various conductive coatings, making them popular choices for high-performance TENGs. These synthetic fibers can be combined with metals like nickel,⁴³ copper,⁴⁴ silver, or aluminum through methods such as coating,⁴⁵ wrapping,⁴⁶ and blending⁴⁷ to create conductive pathways within the fabric. Advanced materials, including graphene,⁴⁸ carbon nanotubes,^49,50 and conductive polymers like PEDOT,⁵¹ are also being explored for their superior conductivity and ability to produce flexible, efficient TENGs. High-performance polymer fibers like PTFE⁵² and PVDF^53,54 are also used. However, while these materials significantly enhance triboelectric properties, the addition of conductive layers or metallic components can sometimes compromise washability and durability. Solutions like silicon rubber^55,56 or PDMS^57,58 layers can make TENGs waterproof,⁵⁹ but these layers may reduce breathability and air permeability, posing challenges for long-term wearability. Moreover, woven-based TENGs face challenges related to energy harvesting and sensor applications, especially in achieving comfortable, wearable devices due to the complex, multi-layered fabric structures.

To address the limitations of current woven-based TENGs (W-TENGs), recent research has focused on optimizing both performance and wearability. In this study, we introduce a novel, scalable, wearable TENG human motion sensor that utilizes a woven fabric structure. By incorporating commercially available wool and polyester yarns with a copper core-shell configuration, we developed a conductive, breathable, and washable textile sensor. Fabricated using cost-effective and scalable wrapping and weaving techniques, this TENG sensor effectively detects a wide range of forces, from subtle body movements to significant pressures, while maintaining stability across various temperatures and humidity levels. Our approach utilizes core-shell yarns, where conductive fibers serve as the core and traditional textile fibers as the shell, with the outer fibers functioning as electrification layers and the core fibers as electrodes. This strategy overcomes challenges associated with exposed metal wires or coatings while integrating the qualities of traditional textiles with energy-harvesting capabilities. The resulting W-TENG is lightweight, flexible, durable, and scalable for industrial production, offering a practical solution for long-term wearable applications.

Materials and methods

Materials

Wool and multifilament polyester yarn were selected as the positive and negative triboelectric layers, respectively. The wool used had a yarn count of 60 Tex, while the polyester, specifically Fully Drawn Yarn (FDY), had a yarn count of 47 Tex and consisted of 61 filaments (illustrated in Figure 1(a)). Despite not exhibiting a significant polarity difference in the triboelectric series, wool, and polyester were chosen for their complementary characteristics, which improve the performance of triboelectric textiles. Their widespread use in the textile industry and compatibility with conventional manufacturing machinery make them ideal for integration into wearable electronic devices. Wool, a natural fiber, offers softness, breathability, and moisture-wicking properties, ensuring comfort in wearable applications. Polyester, a synthetic fiber, contributes durability, shape retention, and resistance to environmental factors such as humidity. The combination of these fibers results in a textile that balances comfort, sustainability, and high triboelectric performance, making it suitable for a wide range of wearable and multifunctional applications.

Figure 1.

Fabrication of wool/polyester woven triboelectric nanogenerators, (a) schematic of wrapping process to make the core-shell yarns, (b) image of Handloom machine, (c) microscopic images of wool and polyester yarns, (d) schematics of wool/polyester woven triboelectric nanogenerators with different structures.

Fabrication

To fabricate W-TENG samples, three types of yarns are needed: simple yarns (unmodified), simple core-shell yarns (core-shell yarns with the same material in both core and shell), and copper core-shell yarns (core-shell yarns with a copper core). Initially, the core-shell yarns were produced using a co-wrapping machine,⁶⁰ as shown in Figure 1(b). Two types of core-shell yarns were created using wool and polyester. For the simple core-shell yarns, a polyester yarn was placed straight in the center, with two polyester yarns wrapping around it. For the copper core-shell yarns, a copper core wire was placed in the center and wrapped with polyester yarns to create the core-shell structure. Wool core-shell yarns were made in the same manner. The copper core yarn must be completely wrapped in wool or polyester yarn to prevent any electrical leakage. The core yarn was entirely encased by the two shell yarns, ensuring that the electrode components remained safe and stable inside the wrapped yarns (see Figure 1(a)).

As shown in Figure 1(c), Woven fabrics with a warp density of 6 and a weft density of 12 were manually crafted on a hand heddle loom with a plain pattern to serve as the base material for the Woven Triboelectric Nanogenerator (W-TENG). The W-TENG consists of three distinct layers, each contributing to its overall functionality. Interface engineering between the dielectric and electrode materials is critical to the performance of the TENG. For each fabric, simple polyester yarn was used as the warp. Weft options included simple polyester yarn, simple polyester core-shell yarn, copper polyester core-shell yarn, and copper wool core-shell yarn. Similarly, for fabrics with simple wool yarn as the warp, weft options included simple wool yarn, simple wool core-shell yarn, copper wool core-shell yarn, and copper polyester core-shell yarn. Properties of the woven fabrics used in the W-TENGs are summarized in Table 1. Each pair of fabrics with the same structure was coupled together to form two layers of the TENG. In samples featuring copper, the copper core acted as the electrode, while for simpler samples, a thin aluminum film was attached to the dielectric layers (illustrated in Figure 1(d)).

Table 1.

Fabric properties and images.

Fabric	Warp yarn	Weft yarn	Weight (g/m²⁾	Thickness (mm)	Polarity
WW	Simple wool	Simple wool	166	1.41	+ +
WWw		Wool/wool core-shell	300	1.48	+ +
WWc		Wool/Cu core-shell	336	1.47	+ +
WPc		Polyester/Cu core-shell	479	1.39	+ −
PP	Simple polyester	Simple polyester	172	0.62	− −
PPp		Polyester/polyester core-shell	362	1.15	− −
PPc		Polyester/Cu core-shell	432	1.1	− −
PWc		Wool/Cu core-shell	456	1.36	− +

Performance measurement

All W-TENG samples were constructed with dimensions of 50 mm × 50 mm to maintain consistency across experiments. To simulate vertical contact-separation motions, a step simulation was employed, providing continuous sinusoidal movement. This setup applied pneumatic force to a dynamic top jaw, allowing for adjustable force, frequency, and jaw distance settings.⁶¹ The maximum separation distance between the triboelectric layers was set at 10 mm, with a frequency of 2 Hz and a force of 2 kN, simulating flapping hand motions. These conditions enabled the comparison of output performance across different W-TENG structures.

Subsequently, to assess the performance of the proposed W-TENG, which exhibited superior performance compared to other designs, tests were conducted at five different frequencies (0.5, 1, 2, 4, and 8 Hz) and four different forces (1, 2, 3, and 4 kN). For human motion monitoring, the W-TENG samples were attached to various positions on the body, including the underfoot, inner elbow, and hand, to detect voltage signals generated by bending, walking, running, and clapping motions. To evaluate the durability of the W-TENG sensor, voltage signals were measured under varying temperature conditions (0°C, 10°C, 20°C, and 40°C) and humidity levels (30%, 50%, 70%, and 90%). Additionally, tests were conducted to assess the washability, air permeability, and overall durability of the W-TENG samples. For measuring the electrical performance of the W-TENG samples, each structure was tested five times, and during each test, each sample underwent contact separation for 1 min. The short circuit current (current), short circuit charge transferred (charge) and open-circuit voltage (voltage) were measured using a Keithley 610C electrometer and an Owon VDS1022I USB PC Storage Digital Oscilloscope.

Results and discussion

Electrical performance of W-TENGs

The electrical output results for open-circuit voltage, short-circuit current, and transferred charge are shown in Figure 2. Among the different configurations, the PWc-WPc TENG exhibited the highest performance, with an output voltage of 18.5 V, a current of 3.7 µA, and a transferred charge of 0.86 µC. Figure 2(a) illustrates W-TENGs with different structural designs. TENGs with an external aluminum film electrode produced significantly lower electrical output compared to those with an embedded copper electrode, due to the superior charge transfer efficiency of the internal copper electrode. The W-TENGs with external aluminum film electrodes have more dielectric thickness compare to compared to those with embedded copper electrodes. Where voltage is inversely proportional to the distance between the dielectric layer and the conductive electrode. The distance between the effective dielectric layer and the conductive layer increases with an increase in the thickness of the dielectric layers.⁶² Additionally, the attached electrode layer negatively impacted both durability and air permeability, reducing the flexibility and breathability of the textile, which is crucial for wearable applications. Furthermore, the adhesive layer used for external electrodes compromised the device’s mechanical stability, especially under large deformations or elevated temperatures, and led to degradation over time during repeated friction. In contrast, the internal copper electrode, integrated within the yarn, provided enhanced durability and stability, minimizing the risk of electrical leakage and maintaining structural integrity throughout extended use. This highlights the advantages of internal electrode designs for reliable, long-term performance in wearable TENGs.

Figure 2.

Electrical outputs of the W-TENGs with different structures, (a) output voltage, current, and charge of the W-TENGs with different structures, (b) output voltage, current, and charge of each layer of the W-TENG with superior outputs.

The WPc-PWc TENG structure can be regarded as a multilayer triboelectric nanogenerator, with each layer functioning as an independent single-electrode TENG. Figure 2(b) compares the electrical outputs of the WPc-PWc TENG with those of its layers, WPc TENG and PWc TENG. The results show that the WPc-PWc TENG produces a significantly higher voltage, and a slightly enhanced charge and current output compared to its layers. This indicates that the multilayer structure provides a simple and effective method to increase the performance of TENGs without requiring a larger device area or complicating the fabrication process. In triboelectric nanogenerators, both voltage and current outputs increase with the number of layers, making the device more efficient at converting mechanical energy into electrical energy.^63–66 The multilayered configuration increases the contact area and the relative displacement between the triboelectric materials, which enhances overall energy output. The improved performance is primarily due to the amplified interaction between the triboelectric layers, which increases the triboelectric effect. The addition of multiple layers also has a positive impact on current output. More layers introduce additional active sites for charge generation, resulting in a higher flow of current. This multilayer structure significantly enhances charge accumulation, as the increased surface area and repeated contact between layers lead to greater total charge output. Each layer in the structure not only contributes to the generation of charges but also interacts synergistically with other layers, further improving performance. Furthermore, with more layers, the TENG achieves a higher accumulation of charges per unit area, leading to increased charge density. This directly correlates with higher voltage and current outputs, as the greater the number of charges generated and separated, the greater the overall electrical output. The cumulative effect of the multilayer structure ensures that mechanical energy is fully utilized, with each layer capturing and converting a portion of this energy into electrical energy. Overall, the WPc-PWc TENG demonstrates a notable improvement in electrical output due to the synergistic effect of its multiple layers, which not only enhance the triboelectric interactions but also maximize charge generation and energy conversion efficiency.

Working principles of WPc-PWc TENG under the contact separation motion

The WPc-PWc TENG is composed of three layers, integrating two single-electrode TENGs and one contact-separation TENG. The first TENG consists of a copper electrode paired with wool on one side and polyester on the other, while the second TENG has a layer of copper and wool on one side and copper and polyester on the other. The third TENG comprises a copper electrode with polyester on one side and wool on the opposite side. In this configuration, TENGs 1 and 3 function as single-electrode TENGs, while TENG 2 operates in contact-separation mode. As illustrated in Figure 3(b), TENG 1 resembles the PWc TENG, TENG 2 mirrors the PPc-WWc TENG, and TENG 3 behaves like the WPc TENG. This innovative design combines three TENGs into a single, lightweight, scalable, and high-performance W-TENG. To better understand the working principle of the WPc-PWc TENG, it is essential to consider the interactions among its three layers. As shown in Figure 3(c), when the fabric surfaces come into contact due to tapping movements generated by the step simulation device, they acquire opposite electric charges, wool becomes positively charged, while polyester becomes negatively charged. These charges are transferred to the copper electrodes. TENG 2 functions in the contact-separation mode. In TENG 2, the wool and polyester yarns come into contact, acquiring opposite electric charges. As the yarns separate, electrostatic induction generates opposite charges on the copper electrodes, creating a potential difference between the top and bottom current collectors. This potential difference drives electrons through the external circuit, producing an immediate current flow. When the separation reaches its maximum, the potential difference stabilizes, and the current ceases. As the layers approach each other again, the potential difference diminishes, causing electrons to flow back toward the positively charged collector. This process generates another current flow, this time in the opposite direction, completing the cycle and efficiently converting mechanical energy from contact and separation into electrical energy.

Figure 3.

Schematics of working principle and structure of WPc-PWc TENG, (a) working mechanism and elements of WPc-PWc TENG under tapping motion, (b) structure of the W-TENGs which are constituent of WPc-PWc TENG, (c) working principle of WPc-PWc TENG under contact-separation motion.

Meanwhile, TENGs 1 and 3 operate in single-electrode mode. In these layers, the triboelectric effect between the wool and polyester fabrics creates a similar charge-transfer process, but with a single electrode collecting the charges. This setup enables the WPc-PWc TENG to maximize energy conversion through the complementary working modes of its three layers, offering a powerful and scalable solution for harvesting mechanical energy.

Effects of contact force and frequency on electrical outputs of PWc-WPc TENG

The electrical performance of the WPc-PWc TENG shows a significant enhancement with increasing tapping frequencies and contact forces. As illustrated in Figure 4(a), the open-circuit voltage rises consistently as the tapping frequency increases from 0.5 Hz to 8 Hz, and as the applied compression force escalates from 1 kN to 4 kN. This can be attributed to the direct correlation between applied load and surface contact area. A greater applied force leads to an expanded surface contact area between the wool and polyester dielectric layers, facilitating enhanced charge transfer during the contact-separation process. The increase in contact area promotes a higher surface charge density, which is critical in determining the triboelectric output. In triboelectric nanogenerators, the efficiency of charge transfer is significantly influenced by the extent of physical contact between the dielectric surfaces, and higher forces induce greater deformation of these surfaces, leading to a more efficient generation of triboelectric charges.

Figure 4.

Electrical outputs of the WPc-PWc TENG, (a) electrical voltage of WPc-PWc at various tapping forces (1-4N) and (b) motion frequencies (0.5–8 Hz). (c) Voltage, current, and (d) power density of the WPc-PWc at different external load resistances varied from 10⁴ (Ω) to 10¹⁰ (Ω) with a tapping frequency of 2 Hz. (e) Electrical voltage of the WPc-PWc TENG after 2000 cycles with a tapping frequency of 2 Hz and tapping force of 2 kN.

The effect of tapping frequency is equally important. As the frequency of tapping increases, the rate of contact-separation cycles between the dielectric layers also accelerates, leading to more frequent charge generation events. This rapid cycling allows for a continuous build-up of charges on the copper electrodes, resulting in higher voltage output. At higher frequencies, the shorter time between each cycle reduces the chance of charge loss, allowing the system to retain more of the generated charge. As a result, both the increased tapping force and frequency work together to enhance the voltage output, improving the energy conversion efficiency of the TENG.

Moreover, the power density of the WPc-PWc TENG was evaluated by connecting it to external variable resistances at a constant frequency of 2 Hz. The results show that as the load resistance increased from 10⁴ Ω to 10⁸ Ω, the output voltage climbed sharply, but then decreased slightly. The current exhibited an inverse relationship with the voltage, starting high and then gradually decreasing, as depicted in Figure 4(c). The peak power density of the WPc-PWc TENG reached 51 mW/m² under an optimized load resistance of 10⁸ Ω. Durability testing revealed that the device maintained stable performance with no significant degradation after 2000 tapping cycles, as shown in Figure 4(e), demonstrating the long-term reliability and practicality of the WPc-PWc TENG for energy harvesting and sensing in wearable applications.

Applications of the WPc-PWc TENG

To demonstrate the potential of the WPc-PWc TENG for biomechanical energy harvesting and motion monitoring, the device was integrated into various parts of the human body. As shown in Figure 5, the WPc-PWc TENG was worn on the hand (Figure 5(a)), the elbow joint (Figure 5(b)), and under the foot (Figure 5(c)), showcasing its versatility in detecting different body movements. The TENG, integrated into clothing, is capable of sensing subtle human body motions, such as elbow bending, and can also harvest energy from more forceful actions like footsteps. The results indicate that the WPc-PWc TENG displays high sensitivity, effectively capturing low-amplitude signals from small motions while maintaining a broad detection range for external pressure. One of the key advantages of the WPc-PWc TENG is its ability to achieve balanced performance between high sensitivity and a wide pressure detection range, making it suitable for a wide variety of wearable applications. When integrated into textiles and worn on different parts of the body, such as the hands and feet, the TENG proves to be multifunctional, able to sense dynamic body movements with precision. It can detect movements at joints like the hand, elbow, knee, and underarm, providing a comprehensive solution for wearable motion sensing.

As illustrated in Figure 5, the fabricated sensing textile quantifies motion gestures and body positions across different speeds during everyday activities. The changes in output voltage generated by the TENG during movements can be continuously monitored, enabling real-time evaluation of a person’s health status and the detection of physiological issues. The practicality of the WPc-PWc TENG lies in its flexibility, durability, and ability to integrate seamlessly into wearable devices, offering an innovative solution for monitoring physical activity, detecting abnormal movement patterns, and even contributing to energy harvesting for self-powered systems in smart textiles. This makes the WPc-PWc TENG an ideal candidate for next-generation wearable electronics in healthcare, fitness tracking, and energy-efficient wearable technologies.

Figure 5.

Photographic images and open-circuit voltage of WPc-PWc TENG fixed at different positions of the human body (a) at the hand, (b) at the elbow joint, and (c) under the foot in slow and fast motion speeds.

Wearability and durability properties of WPc-PWc TENG

The impact of temperature and humidity on the performance of textile-based triboelectric nanogenerators (TENGs) was systematically evaluated using standardized environmental testing protocols. For temperature testing, samples were subjected to conditions ranging from 0°C to 40°C according to the IEC 60068-2-2 standard, with each temperature maintained for 2 h to ensure stabilization. The open-circuit voltage was measured after exposure, revealing a clear inverse relationship between temperature and voltage output, as shown in Figure 6(a). At 0°C, the TENG output was approximately 40 V, but as the temperature increased to 40°C, the output decreased to around 10 V. This decline is likely due to increased molecular motion and thermal agitation at higher temperatures, which reduce charge retention in the dielectric layers (wool and polyester). Moreover, elevated temperatures lead to higher surface conductivity, resulting in faster reduction of generated charges, thereby decreasing the overall voltage output. This temperature-sensitive behavior suggests that lower temperatures are more favorable for maintaining high triboelectric efficiency, as cooler conditions reduce thermal effects that interfere with charge retention.

Figure 6.

Wearability and durability properties of WPc-PWc TENG, (a) open-circuit voltage at varied temperatures, (b) open-circuit voltage at different humidity, (c) photographic images and open-circuit voltage of the TENG after 20 cycles washing, d) air permeability of four types of fabrics used as the substrates of WW-PP TENG and WPc-PWc TENG.

Humidity testing was conducted by the IEC 60068-2-78 standard, with relative humidity levels varying between 30% and 90%. Samples were exposed to high humidity for 12 h at a constant temperature of 25°C to simulate real-world conditions. As shown in Figure 6(b), the output voltage of the WPc-PWc TENG increased as the relative humidity increased from 40% to 90%. This increase in voltage is primarily due to wool’s hygroscopic nature, which allows it to absorb moisture and polarize water molecules within the fibers, enhancing charge separation during the contact-separation process. Additionally, higher humidity increases the flexibility of the wool, improving the mechanical contact between the wool and polyester layers, and leading to greater charge generation. Polyester’s hydrophobicity ensures that it remains unaffected by moisture, maintaining its triboelectric properties, while the copper inner electrode facilitates efficient charge transfer between the layers. Together, these factors lead to a significant improvement in voltage output as humidity increases, highlighting the complex interplay between the materials and environmental conditions in textile-based TENGs.

For wearable applications, durability and breathability are critical factors for long-term performance. To assess the washability of the WPc-PWc TENG, standardized laundering tests were conducted following ISO 6330 procedures. The textiles were subjected to 20 washing cycles at 40°C using a standard detergent, with each cycle lasting 45 min. After each cycle, the open-circuit voltage was measured to evaluate the device’s performance. As illustrated in Figure 6(c), the voltage output remained constant for the first 19 cycles, with only a slight reduction observed after the 20th cycle. Visual inspections and microscopic imaging revealed minimal structural degradation, with the fibers largely maintaining their integrity. The mechanical durability of the wool and polyester fibers, combined with the tightly woven fabric structure, contributed to the TENG’s robust performance. Wool’s natural crimp and polyester’s resistance to wear helped preserve the triboelectric properties, while the copper electrode, protected by the textile layers, remained effective at charge collection. The slight decrease in output after the 20th wash cycle likely results from minor surface wear or fiber fatigue, but overall, the WPc-PWc TENG demonstrated excellent washability and durability, making it suitable for long-term use in wearable applications.

Breathability is another essential requirement for wearable nanogenerators, as it significantly affects user comfort, especially in applications involving prolonged wear. Many existing woven-based TENGs, although durable, suffer from reduced breathability due to additional attached or coated layers.⁶⁷ In contrast, the WPc-PWc TENG was designed with high air permeability, making it well-suited for both sportswear and medical textiles, where breathability is crucial for comfort. As shown in Figure 6(d), the air permeability of the WPc-PWc TENG before and after washing is superior to fabrics made from conventional commercial yarns, ensuring that the device remains comfortable during wear while maintaining its functionality. After washing, the WW fabric experienced a significant decrease in air permeability, primarily due to fiber shrinkage and felting, which occurs when the wool fibers interlock and reduce the spaces between them. The PP fabric exhibited a smaller decrease, reflecting the inherent stability of polyester fibers, which resist significant changes in dimension during washing. The WPc showed a slight reduction in air permeability, behaving similarly to polyester due to the dominant influence of the polyester weft. In contrast, the PWc experienced a more pronounced decrease, resembling wool fabrics because the wool weft is more susceptible to shrinkage and felting. This combination of durability, washability, and breathability makes the WPc-PWc TENG an ideal candidate for use in wearable electronic devices, where comfort, performance, and long-term reliability are key factors.

As demonstrated in Table 2, in comparison to previous woven-based triboelectric nanogenerator systems, the W-TENG developed in this study offers significant improvements in voltage output, durability, scalability, and cost-effectiveness, making it highly suitable for long-term wearable applications compared to previous textile-based triboelectric nanogenerators.⁶⁸ introduced a nanofiber coaxial yarn-based TENG for gait monitoring, achieving only 15 V with more expensive materials and complex manufacturing processes. Similarly, the stretchable fabric TENG by L Chen et al.¹⁸ produced just 8 V and lacked durability for practical use. In contrast, the W-TENG system achieved a substantially higher voltage of 45 V with enhanced stability, even after repeated washing cycles. Yu et al.⁶⁹ developed a core-sheath yarn-based TENG with nylon and silicon rubber, producing 17.5 V and 0.55 W/m² with strong durability over 30,000 cycles for self-powered sit-up sensing. Although this system exhibited the same power density as our W-TENG, it lacks comfort and breathability due to the use of silicon rubber materials, making it less suitable for long-term wearable applications. While the Core-Sheath Fiber-Based TENG from Ning et al.⁷⁰ demonstrated strong durability with 100,000 cycles, it was only washable for five cycles, whereas the W-TENG maintained performance across 20 wash cycles. The system by Li et al.¹⁹ designed for plantar pressure monitoring, generated 26 V but lacked the same durability and washability. Although Kim et al.²⁹ developed a coaxial core-sheath TENG that achieved 70 V, the absence of washability data makes it less ideal for long-term use. The W-TENG, however, strikes a balance between high voltage output, air permeability, washability, scalability, and cost-effectiveness, making it well-suited for wearable body motion monitoring.

Table 2.

Comparative analysis of the performance of the TENG system in this study with previous literature.

Material	Voltage (V)	Power density	Washability	Durability	Air permeability	Application	Ref.
Core-shell yarn: Wool and polyester with inner copper electrode	45	51 mW/m²	20 cycles	2000 cycles	28 mL/s.cm²	Wearable body motion	This study
Coaxial core-sheath yarn: Nanofiber PA6 and PVDF with inner NCY electrode	15	_	_	3000 cycles	821 cm³/s	Gait Analyze	68
polyester and polyurethane yarn with polyamide conductive yarn electrode	8	_	_	_	_	Energy harvesting	18
Core-sheath yarn: Nylon and silicon rubber with inner conductive polymer fiber electrode	17.5	0.55 W/m²	_	30000 cycles	_	Self-Powered Straight-Arm Sit-Up Sensing	69
Core-sheath yarn: liquid metal core and polyurethane sheath	20	3 µW/m	5 cycles	100000 cycles	_	Athlete motion sensing	70
Braided core-shell yarn: PVDF with Ag	26	1000 µW/m²	_	6078 cycles	_	plantar pressure monitoring	19
Coaxial core-sheath yarn: Elastomer/Latex/ CNT-composites/ PDMS	70	_	water-resistant	_	_	Energy harvesting	29

Conclusion

In conclusion, the scalable all-textile embedded electrode triboelectric nanogenerator (WPc-PWc TENG) presented in this study offers a transformative solution for wearable motion sensing and energy harvesting. With its innovative multilayer design, combining hybrid single-electrode and contact-separation mechanisms, the WPc-PWc TENG achieves exceptional performance, delivering high voltage, current, and power density outputs. By integrating commercially available wool and polyester with an embedded copper electrode, this TENG not only enhances the triboelectric effect but also ensures durability, flexibility, and comfort, making it suitable for daily wear.

The WPc-PWc TENG’s ability to maintain performance across various environmental conditions, including different temperatures, and humidity levels, and after repeated washing, underscores its robustness and practical utility in real-world applications. Furthermore, its compatibility with large-scale textile manufacturing processes demonstrates its scalability for widespread use in smart garments. From fitness tracking and athlete monitoring to healthcare applications requiring precise motion detection, this technology opens new possibilities for the next generation of wearable electronics.

Footnotes

Declaration of conflicting interests

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding

The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by Iran National Science Foundation (grant number 4020210) and Iran National Science Foundation and Iran Nanotechnology Innovation Council (4023636).

ORCID iDs

Roohollah Bagherzadeh

Nazanin Ezazshahabi

Amir Jahanshahi

Benny Malengier

References

Wei

, et al. Recent progress in self-powered wireless sensors and systems based on TENG. Sensors 2023; 23(3): 1329.

Shuai

Guo

Zhang

, et al. Stretchable, self-healing, conductive hydrogel fibers for strain sensing and triboelectric energy-harvesting smart textiles. Nano Energy 2020; 78(September): 105389.

Mathew

Chandrasekhar

Vivekanandan

. A review on real-time implantable and wearable health monitoring sensors based on triboelectric nanogenerator approach. Nano Energy 2021; 80: 105566.

Zhang

Wang

. Triboelectric nanogenerators as wearable power sources and self-powered sensors. Natl Sci Rev 2023; 10(1): nwac170.

Abro

Yi-Fan

Nan-Liang

, et al. A novel flex sensor-based flexible smart garment for monitoring body postures. J Ind Textil 2019; 49(2): 262–274.

Dadjou

Bakhtiyari

Jahanshahi

, et al. Towards seamless conformable and comfortable wearable electronics: polyimide-supported dry electrodes integrated in knitted fabrics. Sensor Actuator Phys 2024; 376: 115613.

Etana

Malengier

Timothy

, et al. A review on the recent developments in design and integration of electromyography textile electrodes for biosignal monitoring. J Ind Textil 2023; 53: 1–34.

Jeong

Park

Baek

, et al. Wireless charging with textiles through harvesting and storing energy from body movement. Textil Res J 2019; 89(3): 347–353.

Ning

Dong

Cheng

, et al. Flexible and stretchable fiber-shaped triboelectric nanogenerators for biomechanical monitoring and human-interactive sensing. Adv Funct Mater 2021; 31(4): 1–9.

10.

Walden

Aazem

Babu

, et al. Textile-triboelectric nanogenerators (T-TENGs) for wearable energy harvesting devices. Chem Eng J 2023; 451(P3): 138741.

11.

Zhang

Wang

Xing

, et al. Woven wearable electronic textiles as self‐powered intelligent tribo‐sensors for activity monitoring. Glob Chall 2019; 3(12): 1900070.

12.

Etana

Dawud

Malengier

, et al. Discrete wavelet transform based processing of embroidered textile-electrode electromyography signal acquired with load and pressure effect. J Ind Textil 2024; 54: 1–21.

13.

Fletcher

Kim

, et al. Evaluation of launderability of electrically conductive fabrics for E-textile applications. Adv Mater 2022; 13(14): 1–8.

14.

Zhuo

Zheng

, et al. A breathable and woven hybrid energy harvester with optimized power management for sustainably powering electronics. Nano Energy 2023; 112(April): 108436.

15.

Zhao

Huang

Yan

, et al. Machine-washable and breathable pressure sensors based on triboelectric nanogenerators enabled by textile technologies. Nano Energy 2020; 70(January): 104528.

16.

Jing

Xin

, et al. Series to parallel structure of electrode fiber: an effective method to remarkably reduce inner resistance of triboelectric nanogenerator textiles. J Mater Chem A Mater 2021; 9(20): 12331–12339.

17.

Cheng

Liu

, et al. Multiple textile triboelectric nanogenerators based on UV-protective, radiative, cooling and antibacterial composite yarns. J Chem Eng 2023; 468: 143800.

18.

Chen

Wang

Shen

, et al. Stretchable woven fabric-based triboelectric nanogenerator for energy harvesting and self-powered sensing. Nanomaterials 2023; 13(5): 863.

19.

Zhang

, et al. Large‐scale fabrication of core‐shell triboelectric braided fibers and power textiles for energy harvesting and plantar pressure monitoring. EcoMat 2022; 4(4): 1–12.

20.

Rezaei

Nikfarjam

. Rib stitch knitted extremely stretchable and washable textile triboelectric nanogenerator. Adv Mater Technol 2021; 6(4): 1–9.

21.

Song

, et al. A self-charging power unit by integration of a textile triboelectric nanogenerator and a flexible lithium-ion battery for wearable electronics. Adv Mater 2015; 27(15): 2472–2478.

22.

Zhao

, et al. Freestanding flag-type triboelectric nanogenerator for harvesting high-altitude wind energy from arbitrary directions. ACS Nano 2016; 10(2): 1780–1787.

23.

Zhou

Zhang

Han

, et al. Woven structured triboelectric nanogenerator for wearable devices. ACS Appl Mater Interfaces 2014; 6(16): 14695–14701.

24.

Kim

Chun

Kim

, et al. Highly stretchable 2D fabrics for wearable triboelectric nanogenerator under harsh environments. ACS Nano 2015; 9(6): 6394–6400.

25.

Seung

Gupta

Lee

, et al. Nanopatterned textile-based wearable triboelectric nanogenerator. ACS Nano 2015; 9(4): 3501–3509.

26.

Mao

Xie

, et al. Triboelectric nanogenerator/supercapacitor in-one self-powered textile based on PTFE yarn wrapped PDMS/MnO2NW hybrid elastomer. Nano Energy 2021; 84(January): 105918.

27.

Chen

Yang

, et al. Fabric‐based TENG woven with bio‐fabricated superhydrophobic bacterial cellulose fiber for energy harvesting and motion detection. Adv Funct Mater 2023; 33(45).

28.

Chen

Deng

Ouyang

, et al. 3D printed stretchable smart fibers and textiles for self-powered e-skin. Nano Energy 2021; 84(January): 105866.

29.

Kim

Cho

Hong

, et al. Geometrically versatile triboelectric yarn-based harvesters via carbon nanotubes-elastomer composites. Compos Sci Technol 2022; 219(August 2021): 109247.

30.

Chen

Guo

, et al. Traditional weaving craft for one-piece self-charging power textile for wearable electronics. Nano Energy 2018; 50: 536–543.

31.

Liu

, et al. Wearable self-charging power textile based on flexible yarn supercapacitors and fabric nanogenerators. Adv Mater 2016; 28(1): 98–105.

32.

Ramachandran

Vigneswaran

. Design and development of copper core conductive fabrics for smart textiles. J Ind Textil 2009; 39(1): 81–93.

33.

Wen

Yeh

Guo

, et al. Self-powered textile for Wearable electronics by hybridizing fiber-shaped nanogenerators, solar cells, and supercapacitors. Sci Adv 2016; 2(10): e1600097.

34.

Dong

, et al. State-of-the-art review of advanced electrospun nanofiber yarn-based textiles for biomedical applications. Appl Mater Today 2022; 27: 101473.

35.

Tian

Chen

, et al. Performance-boosted triboelectric textile for harvesting human motion energy. Nano Energy 2017; 39: 562–570.

36.

Meng

Guo

Pan

, et al. Flexible textile direct-current generator based on the tribovoltaic effect at dynamic metal-semiconducting polymer interfaces. ACS Energy Lett 2021; 6(7): 2442–2450.

37.

Fine

Huang

. Self-Charging textile woven from dissimilar household fibers for air filtration: a proof of concept. ACS Omega 2021; 6(40): 26311–26317.

38.

Cao

Shao

Wang

, et al. A full-textile triboelectric nanogenerator with multisource energy harvesting capability. Energy Convers Manag 2022; 267(June): 115910.

39.

Chen

Zhang

Ding

, et al. Woven fabric triboelectric nanogenerator for biomotion energy harvesting and as self-powered gait-recognizing socks. Energies 2020; 13(16): 4119.

40.

Gang

Guo

Cong

, et al. Textile triboelectric nanogenerators simultaneously harvesting multiple ‘high-entropy’ kinetic energies. ACS Appl Mater Interfaces 2021; 13(17): 20145–20152.

41.

Liu

Cui

, et al. Core-shell fiber-based 2D woven triboelectric nanogenerator for effective motion energy harvesting. Nanoscale Res Lett 2019; 14(1): 311.

42.

Feng

Yang

Jia

, et al. Scalable, washable and lightweight triboelectric-energy-generating fibers by the thermal drawing process for industrial loom weaving. Nano Energy 2020; 74(February): 104805.

43.

Liu

Cong

, et al. High-energy asymmetric supercapacitor yarns for self-charging power textiles. Adv Funct Mater 2019; 29(41): 1–12.

44.

Tao

Zhou

, et al. Wearable textile triboelectric generator based on nanofiber core-spun yarn coupled with electret effect. J Colloid Interface Sci 2022; 608: 2339–2346.

45.

Zhao

Yan

Liu

, et al. Machine-washable textile triboelectric nanogenerators for effective human respiratory monitoring through loom weaving of metallic yarns. Adv Mater 2016; 28(46): 10267–10274.

46.

Wen

, et al. Core-shell-yarn-based triboelectric nanogenerator textiles as power cloths. ACS Nano 2017; 11(12).

47.

Dong

Deng

, et al. 3D orthogonal woven triboelectric nanogenerator for effective biomechanical energy harvesting and as self-powered active motion sensors. Adv Mater 2017; 29(38): 1–11.

48.

Zhu

Huang

, et al. 3D spacer fabric based multifunctional triboelectric nanogenerator with great feasibility for mechanized large-scale production. Nano Energy 2016; 27: 439–446.

49.

Feng

Xia

Sun

, et al. Enhancing the performance of fabric-based triboelectric nanogenerators by structural and chemical modification. ACS Appl Mater Interfaces 2021; 13(14): 16916–16927.

50.

Sim

Choi

Kim

, et al. Stretchable triboelectric fiber for self-powered kinematic sensing textile. Sci Rep 2016; 6: 1–7.

51.

Grancarić

Jerković

Koncar

, et al. Conductive polymers for smart textile applications. J Ind Text 2018; 48(3): 612–642.

52.

Chen

Guo

Chen

, et al. Direct current fabric triboelectric nanogenerator for biomotion energy harvesting. ACS Nano 2020; 14(4): 4585–4594.

53.

Guan

, et al. Breathable, washable and wearable woven-structured triboelectric nanogenerators utilizing electrospun nanofibers for biomechanical energy harvesting and self-powered sensing. Nano Energy 2021; 80: 105549.

54.

Zhou

, et al. Continuous and scalable manufacture of hybridized nano-micro triboelectric yarns for energy harvesting and signal sensing. ACS Nano 2020; 14(4): 4716–4726.

55.

Gong

Hou

Zhou

, et al. Continuous and scalable manufacture of amphibious energy yarns and textiles. Nat Commun 2019; 10(1): 1–8.

56.

Zhu

Yang

, et al. A fully stretchable textile-based triboelectric nanogenerator for human motion monitoring. Mater Lett 2020; 280: 128568.

57.

Feng

, et al. Flexible and stretchable triboelectric nanogenerator fabric for biomechanical energy harvesting and self-powered dual-mode human motion monitoring. Nano Energy 2021; 86(March): 106058.

58.

Xie

Liu

, et al. (2021) Fiber-like wearable triboelectric nanogenerator with bionic micro-structure. In: Progress in Electromagnetics Research Symposium, Hangzhou, China, 21–25 November, 2021, 994–999.

59.

Xiong

Cui

Chen

, et al. Skin-touch-actuated textile-based triboelectric nanogenerator with black phosphorus for durable biomechanical energy harvesting. Nat Commun 2018; 9(1): 1–10.

60.

Mirdehghan

Nosraty

Shokrieh

, et al. The structural and tensile properties of glass / polyester co-wrapped hybrid yarns. J Ind Text 2018; 47(8): 1979–1997. DOI: 10.1177/1528083717716166.

61.

Tahir

Malengier

Hertleer

, et al. Validation of devices for characterization of hybrid 3D printed embroidery TENG for energy harvesting. Cdatp 2022; 3(1): 1–8.

62.

Yar

. High performance of multi-layered triboelectric nanogenerators for mechanical energy harvesting. Energy 2021; 222: 119949.

63.

Bai

Zhu

Lin

, et al. Integrated multilayered triboelectric nanogenerator for harvesting biomechanical energy from human motions. ACS Nano 2013; 7(4): 3713–3719.

64.

Han

Lin

, et al. A three dimensional multi-layered sliding triboelectric nanogenerator. Adv Energy Mater 2014; 4(11): 1–6.

65.

Zhang

Jiang

, et al. Output characteristics of series-parallel triboelectric nanogenerators. Nanotechnology 2023; 34(15).

66.

Wang

Peng

, et al. Sustainable energy source for wearable electronics based on multilayer elastomeric triboelectric nanogenerators. Adv Energy Mater 2017; 7(13): 1602832.

67.

Song

Liu

, et al. Wearable power-textiles by integrating fabric triboelectric nanogenerators and fiber-shaped dye-sensitized solar cells. Adv Energy Mater 2016; 6(20): 1601048.

68.

Wang

Chu

Meng

, et al. Scalable and ultra‐sensitive nanofibers coaxial yarn‐woven triboelectric nanogenerator textile sensors for real‐time gait analysis. Adv Sci 2024; 11(28): e2401436.

69.

Long

Huang

, et al. Core–sheath fiber-based triboelectric nanogenerators for energy harvesting and self-powered straight-arm sit-up sensing. ACS Omega 2023; 8(34): 31427–31435.

70.

Ning

Wei

Sheng

, et al. Scalable one-step wet-spinning of triboelectric fibers for large-area power and sensing textiles. Nano Res 2023; 16(5): 7518–7526.

Scalable all-textile embedded electrode triboelectric nanogenerator: Hybrid single-electrode and contact-separation working functions for wearable body motion monitoring

Abstract

Keywords

Introduction

Materials and methods

Materials

Fabrication

Performance measurement

Results and discussion

Electrical performance of W-TENGs

Working principles of WPc-PWc TENG under the contact separation motion

Effects of contact force and frequency on electrical outputs of PWc-WPc TENG

Applications of the WPc-PWc TENG

Wearability and durability properties of WPc-PWc TENG

Conclusion

Footnotes

Declaration of conflicting interests

Funding

ORCID iDs

References