Review Article | Open Access
Yongjiu Zou, Alberto Libanori, Jing Xu, Ardo Nashalian, Jun Chen, "Triboelectric Nanogenerator Enabled Smart Shoes for Wearable Electricity Generation", Research, vol. 2020, Article ID 7158953, 20 pages, 2020. https://doi.org/10.34133/2020/7158953
Triboelectric Nanogenerator Enabled Smart Shoes for Wearable Electricity Generation
The parallel evolution of wearable electronics, artificial intelligence, and fifth-generation wireless technology has created a technological paradigm with the potential to change our lives profoundly. Despite this, addressing limitations linked to continuous, sustainable, and pervasive powering of wearable electronics remains a bottleneck to overcome in order to maximize the exponential benefit that these technologies can bring once synergized. A recent groundbreaking discovery has demonstrated that by using the coupling effect of contact electrification and electrostatic induction, triboelectric nanogenerators (TENGs) can efficiently convert irregular and low-frequency passive biomechanical energy from body movements into electrical energy, providing an infinite and sustainable power source for wearable electronics. A number of human motions have been exploited to properly and efficiently harness this energy potential, including human ambulation. Shoes are an indispensable component of daily wearing and can be leveraged as an excellent platform to exploit such kinetic energy. In this article, the latest representative achievements of TENG-based smart electricity-generating shoes are comprehensively reviewed. We summarize ways in which not only can biomechanical energy be scavenged via ambulatory motion, but also biomonitoring of health parameters via tracking of rhythm and strength of pace can be implemented to aid in theranostic fields. This work provides a systematical review of the rational structural design, practical applications, scenario analysis, and performance evaluation of TENG-based smart shoes for wearable electricity generation. In addition, the perspective for future development of smart electricity-generation shoes as a sustainable and pervasive energy solution towards the upcoming era of the Internet of Things is discussed.
It is no secret that the Internet of Things is changing how business is conducted and how life is lived in fundamental and meaningful ways. Distributed electronics are the key components for enabling any Internet of Things applications via means of a wide range of engineered solutions including sensing [1–6], therapy [7–9], and environmental monitoring [10–12]. However, ensuring constant power sources to feed these distributed electronics, including stand-alone devices, is an essential prerequisite currently beyond the capability of traditional centralized power supply systems [13–16]. Traditional batteries have limited lifetime, rigid structures, inconvenient heaviness, and can lead to potential environmental pollution, thus alternatives are required [17–22]. The human body inherently generates a large amount of biomechanical energy via daily activities such as walking and running, providing a rich source of renewable energy [23–29]. For example, ambulatory footfall generates as much energy as 20 W. [30–33]. If this energy were to be harnessed to power wearable electronics, it could ensure life-long operations in a sustainable and independent way, eliciting much interest in establishing a human footfall energy harvesting system. Even though converting human footfall energy could provide a superior solution to obtain sustainable energy for on-body electronics powering, the increase in population aging opens up unmet clinical needs which ambulatory monitoring can help address, including gait [34–37]. Effective gait monitoring can be used in many health-related scenarios, such as the detection of sudden falls [38–40], leg rehabilitation assessments [41–44], and detection and progression of Parkinson’s disease [45–48]. Current ambulatory monitoring methods such as mobile phones and sports bracelets can be used to track the number of steps walked, but fail to provide insight into clinical conditions. Devices which can specifically monitor gait are expensive and cannot be easily used at anytime and anywhere, because of the limited time and space. To overcome this challenge, a number of progressive smart shoes have been shown to effectively convert human footfall into electric signals as a convenient and cost-effective approach for both energy harvesting and active sensing purposes [49–54]. A variety of smart shoes are developed via engineering different working mechanism with which they convert biomechanical energy into electricity, including piezoelectric approaches [55–58], electromagnetic approaches [59, 60], and many others [61–63].
In 2012, the triboelectric nanogenerators emerged as a compelling means to generate electricity based on the conjunction of the triboelectrification and electrostatic induction [64–66]. TENGs’ merits have been well documented, and comprise high efficiency, low cost, light weight, simple structure, biocompatibility, and wide-range of materials choices [67–77]. TENGs were successfully applied to harvest mechanical energy from sound [78–82], wind [83–90], water waves [91–96], and vibration [97–101]. Owing to their unique working mechanism and material usage, TENGs can be flexible [102–107], stretchable [108–115], humidity-proof [116, 117], self-healing [118–120], shape-adaptive [121–123], and even washable [124–128]. In view of these advantages, this promising technology has been cleverly applied to different parts of shoes, creating TENG-based smart footwear for biomechanical energy harvesting, as shown in Figure 1.
In this review, we first discuss the selection of triboelectric materials and the working principle of TENG for smart electricity-generating shoes. Subsequently, emphasis is placed on the recent progress and practical applications of TENG-based smart shoes for electricity generation, classified according to the operating locations in the shoes. Finally, perspectives and challenges for the future development of wearable TENGs are discussed. We hope that this review will significantly promote the development of wearable TENG-based smart shoes and shed light on providing a pervasive and sustainable energy solution to the wearable electronic systems in the era of the Internet of Things.
2. Working Mechanism
The triboelectric effect is often considered as negative or even hazardous in daily life, because it is not only an irritating event, but it allows for dust to collect everywhere and, in extreme cases, can lead to dangerous events, including fires. Despite this, TENGs can take advantage of usually wasted and ubiquitously present ambient mechanical energy and convert it into electric energy using the coupling of contact electrification and electrostatic induction processes [66, 134–136]. The triboelectric effect results from the cyclic contact and separation of two different materials with different electron affinity, which is defined as the “triboelectric series,” as shown in Figure 2(a). The lower the material's position in the series, the better its ability to obtain electrons and get negatively charged, and the further apart the two materials in the triboelectric series, the more transfer charges are generated during the physical contact [137–140]. Consquently, the “triboelectric series” can be employed as the guideline in the selection of optimized triboelectric material pairs for high output performance, prior to designing and fabricating novel TENGs. Tribo-materials selected for the fabrication of TENG are ubiquitously present in our daily lives [141–146], among them, metal and nylon are commonly positively charged, while silicone rubber and polytetrafluoroethylene (PTFE) are typically chosen as negative materials for gaining negative charges [147–150].
When two triboelectric materials with different electron affinities come into physical contact, tribo-charges are separated and transferred from one material to the other. The surface of the material with higher electron affinity becomes negatively charged, while the other surface becomes positively charged with an equal amount. When the two materials separate, the tribo-charges in the interfacial regions too are separated, inducing an electrical potential difference between electrodes, and driving free electrons to flow back and forth in the external circuit to maintain the electrostatic equilibrium. The fundamental working modes of TENG can be divided into the following four categories: vertical contact-separation mode , lateral sliding mode , single-electrode mode , and freestanding triboelectric-layer mode , depending on the structure and relative motion of the materials used (Figure 2(b)).
3. Smart Shoes for Biomechanical Energy Harvesting
Recently, tremendous efforts have been devoted to developing wearable TENGs to be worn as on body bioelectronics or integrated into clothes and accessories. Amongst those, TENG-based smart shoes attracted public attention on account of their ability to easily and conveniently convert biomechanical energy generated during regular walking, into electric energy, so that it may be used for third party devices. Since TENGs could be miniaturized with thin and lightweight materials, they can easily be placed just below the foot as part of smart shoes, and harness passive biomechanical ambulatory motions to generate electricity. Insoles are one of the most popular components of shoes which have been integrated with TENG for wearable electricity generation. Studies have demonstrated that one walking step can produce 1 to 5 joules of energy . If this pervasive energy source is harnessed effectively, it can hold the potential to capture a large amount of passively available energy, with obvious sustainability benefits. To elucidate the working principle of TENG-based smart shoes, a detailed explanation of how TENG-based smart shoes generate electricity is provided below, with the TENG position varying from shoe top to shoe bottom.
3.1. TENGs Mounted on the Insoles
TENGs mounted directly on the insole are very simple and convenient as they require no intermediary processing. The TENG is in direct contact with the feet (or socks), so the triboelectric materials used needs to be of a soft, skin-friendly, waterproof, dirt-resistant, and bacteria-resistant nature[129, 156–160]. Pu et al. proposed a wearable textile TENG-cloth mounted directly on the insole yielding a solution with flexibility, comfortability, air-breathability, and water-washability . Figure 3(a) shows the schematic illustration of the fabrication of the said TENG-cloth. The soft polyester fabric was chosen as the base substrate and coated with the Ni film and parylene film, forming a conductive Ni-cloth, and insulating parylene-cloth layers. The belt-type Ni-cloth and parylene-cloth were woven into a TENG-cloth, of which every basic unit was composed of belt-type Ni-cloth, using Ni film as both the triboelectric layer and electrode, and belt-type parylene-cloth using Ni film as electrode, and parylene film as the other triboelectric layer. Owing to the ingenuity of the structural design, this TENG-cloth can work in a variety of modes, including vertical contact-separation mode and horizontal sliding mode. In the contact-separation mode, the TENG-cloth and skin (or other ordinary clothes) can be used as a pair of triboelectric layers, as can two identical TENG-cloths. As to the sliding mode, two identical TENG-cloths produce frictional motion in contact with each other, which causes the transfer of free electrons betwen the materials, due to different electron affinity of the materials. As shown in Figure 3(b), when the TENG-cloth is worn under the foot, electricity can be generated by walking, and used to light up to 37 LEDs. The TENG-cloth was also used in scavenging biomechanical energy to charge a Li-Ion Battery (LIB) belt, powering a heartbeat meter. The invention of wearable TENG-cloth can inspire us to come up with a number of innovative ideas for the applications as wearable electronics in the near future. Chang et al. developed yet another textile-based TENG, integrated with plastic metal electrodes, and employing the contact-separation mode . The schematic of the structure and working mechanism of the textile-based TENGs is shown in Figure 3(c). The triboelectric layer pair was made up of nylon textile embroidered with convex arrays in circular or square patterns on the surface, and polyester textile coated with polyvinylidene fluoride (PVDF) based nanofibers and particles, to obtain nanostructures on the surface, which all increase the contact extents on the triboelectric surface, enhancing output performance. The PMFs made from Ga-In liquid alloy-added glaze powders-a type of plastic metal using a coating scraper- were selected as the electrodes of the triboelectric layers. To prevent the liquid electrode from leaking, the backside of nylon and polyester textiles was coated with silicone films, and the copper wires were connected to the PMFs as the leads of electrodes. Finally, four elastic sponges fixed at four corners between two triboelectric layers, were used to restore TENG’s shape after compression. In this example, the working mechanism depended on cyclic contact and separation between two triboelectric layers. Figure 3(d) illustrates how the textile-based TENG had been tested for 1200 s and over 7200 cycles at a frequency of 6 Hz, wihtout showing any considerable decrease in the output voltage, proving this textile-based TENG could be used as a very stable and durable option. The textile-based TENG was mounted onto the insole as shown in Figure 3(e), and the maximum output voltage generated reached circa 10 V while walking.
On the multilayer structure front, garment-based TENGs were developed using the contact-separation mode which included fabrication modifications to improve output performance . Also, a laser-induced graphene-based TENG employing the single-electrode mode was developed, yielding open-circuit output voltage of above 3.5 kV . Amongst the most innovative work in this field, we highlight a stretchable porous nanocomposite (PNC) based on a hybrid of a polydimethylsiloxane(PDMS) matrix and a multiwalled carbon nanotubes (CNTs) network used to harvest energy from biomechanical motions . Figure 4(a) illustrates the fabrication process of said PNC. Its working mechanism employs the PDMS matrix and CNT network which effectively and alternately cycle between contact and separation phases in the porous structure generated, by NaCl dissolution, as shown in Figure 4(b). A magnified view of the inner surface (Figure 4(c)) clearly displays the existence of exposed CNTs which are essential to the electricity-generation process. Figure 4(d) illustrates an optical photograph of a prepared round PNC with a 5 cm diameter and 0.5 cm thickness, and with the scannning electron microscope (SEM) inset showing surface microstructure. Stomping and bending this device generated a current via various motions linked to the varying magnitude and direction of the external forces applied, meaning that it could be effectively employed to harness different motion states when worn on the insole, suggesting strong future application potential, as shown in Figure 4(e).
Overall, it ought to be remembered that a TENG that is placed directly on insoles is subjected to extremely unfavorable working conditions, including exposure to sweat and biological contaminants (bacteria) from the feet. Consequently, TENGs placed on insoles should be waterproof, possess antibacterial qualities, and be soft enough to be comfortable when placed in direct contact with the foot. In addition, considering that TENG is subject not only to vertical pressure but also to irregular lateral tearing of feet in the shoes, the TENG must be structurally sound, and the materials selected must be mechanically robust and stable.
3.2. TENGs Embedded in the Insoles
Some studies have reported the use of TENGs embedded into the insole, avoiding direct contact with the feet, providing protection against moisture and dirt, and significantly improving the devices' stability and robustness [51, 130, 161–163]. Zhu et al. demonstrated a self-lighting shoe, which was powered by the insole inside . The TENGs were embedded in the insole to scavenge biomechanical energy during walking. As shown in Figure 5(a), the flexible multilayered TENGs were made up of three layers of TENG unit fabricated on the surface of a zigzag-shaped substrate, and the TENG unit itself was composed of a PTFE thin film and a polished aluminum (Al) foil with copper as the electrode. To increase the contact area with the PTFE film, dense nanopores were created on the Al foil surface through wet chemical etching. The energy created from the three TENG units could be coupled by parallel wiring to further enhance the output performance. Figure 5(b) shows the multilayered TENGs embedded at the heel of the insole. The same multilayered TENGs were also present in the fore-insole. The open-circuit voltage of the multilayered TENGs is displayed in Figure 5(c), where the maximum value attained reached over 220 V. The multilayered TENGs were able to light up all the LEDs installed in the sneaker during normal ambulation, as illustrated in Figure 5(d). This application not only holds the potential to provide localized lighting for outdoor activities at night, improving, for instance, personal safety, but also opens up new opportunities for harvesting pedestrian biomechanical energy.
Using a contact-separation mode, Huang et al. first demonstrated an all-fiber TENG-based insole yielding a maximum output voltage up to 240 V . Considering that the surface of TENGs embedded into the insoles are easily contaminated and can be grounds for bacteria to breed, an antibacterial composite film-based TENG was also developed by researchers . Employing the same working mechanism, Li et al. demonstrated a flexible and lightweight triboelectric nanogenerator (NM-TENG) constructed with a tailored nanofibrous membrane that enhanced the output performance and robustness of the device . As shown in Figure 5(e), polymethyl methacrylate (PMMA) was chosen as the supporting substrates, while the nanofibrous membrane constructed TENG was composed of a layer of PVDF/PDMS nanofibrous composite membrane and a layer of PAN/PA6 nanofibrous composite membrane, using copper electrodes. The elastic sponges used in this case were added to restore the TENG shape after heel detachment and foot lifting, whereas the silica gel was laminated on the inner side of both PMMA substrates to ease mechanical buffering and adjust the gap between the triboelectric materials. As shown in Figure 5(f), the open-circuit voltage of the NM-TENG could reach a voltage as high as 540 V. Figure 5(g) illustrates the NM-TENG embedded into the insole with the ability to efficiently harvest energy from walking and light up roughly 400 LEDs, as shown in Figure 5(h). The NM-TENG provides a new and efficient pathway for designing self-powered systems, due to its cost-effectiveness, breathability, and environmental friendly material use.
Beyond strict energy production application, Lin et al. proposed an elastic TENG-based sensor embedded into the insoles possessing air-pressure-driven structural design to enable real-time gait monitoring, with a remarkably simple fabrication protocol, high durability, fast response sensitivity, and excellent mechanical robustness . The TENG-based sensor consists of a TENG on the top and an elastic air chamber (EAC) made from elastic latex film at the bottom, as shown in Figure 6(a). The TENG was composed of a rubber layer as one of the triboelectric layers with a layer of copper inside to prevent interference from the environment, and a copper layer attached on top of the supporting acrylic layer to act as the other triboelectric layer. Figure 6(b) illustrates the working principle of the sensor. When the sensor is compressed by external forces, the two triboelectric layers come into contact and the internal air is squeezed into the elastic air chamber underneath. When the external forces disappear, the elastic air chamber pushes the air back into the TENG above, allowing the two triboelectric layers to achieve cyclic contact and separation during ambulation; air pressure is thus used as a suspension system. Figure 6(c) shows the voltage signal generated by one stepping cycle. Experimental studies showed that after exerting/releasing a force of 30 N for 1000 cycles, the open-circuit voltage amplitude was almost constant, suggesting excellent stability and durability, as shown in Figure 6(d). Most importantly, this sensorial approach was shown to be effectively used in a medical health monitoring setting. When an elderly person falls, an alarm can be sent out in real-time (Figure 6(e)). Figure 6(f) shows an example of a smart shoe recording normal walking monitoring and a sudden fall.
In conclusion, TENG embedded in the insole is subjected to intermittent vertical pressure during normal walking or exercise. By not coming into direct contact with the feet, embedding TENG in the insole greatly reduces the possibility of being affected by sweat and bacteria from feet. This approach presents a tidier solution than directly placing TENG onto the insole. Overall, considering that different areas of the sole are subject to different pressures profiles, passive energy harnessing can be optimized if correct engineering and placement are used.
3.3. TENGs Engineered into the Insoles
TENG can also be engineered directly into the insoles, but this presents considerable constraints in material selection and structure design, not only to ensure the comfort of the user but also to ensure the prolonged durability of the TENG device itself [131, 164–169]. Lin et al. developed a waterproof TENG-based smart insole to extract biomechanical energy for sustainably powering wearable electronics . As shown in Figure 7(a), the TENG-based energy harvesting insole (EHI) was composed of a sealed airtight-cavity-structural TENG and an elastic crescent-shaped latex-made airbag mounted in the middle of the TENG-based insole itself. Rubber was selected as the hollow sealing material of the TENG-based insole, and copper was mounted on the inside top surface of the rubber acting as one triboelectric layer and electrode. The inside bottom surface of the rubber was the other triboelectric layer, which was coated with an electrode layer made from a mixture of silicone rubber and graphite. The working principle is displayed in Figure 7(b), and comprised an airbag connected to the airtight cavity used to drive air to the airtight cavity when external force was released, achieving cyclic contact and separation between two triboelectric materials while walking. Figure 7(c) shows that the larger the volume of the airtight cavity, the greater the open-circuit voltage became. This device presented excellent stability and durability as clearly seen in Figure 7(d). The most remarkable advantage of this approach was its waterproof capabilities, with no significant reduction in output performance after washing (Figure 7(e)).
With regards to employing multilayer structures, Hou et al. first developed a cost-effective and simple-to-fabricate TENG employing contact-separation mode for effectively harvesting ambulatory energy . Instead of using a sponge as a spacer above, a liquid-metal-elastomer foam was selected as both one triboelectric material and spacer, to improve output performance . Ma et al. demonstrated a polydopamine- (pDA-) modified TENG (pDA-S-TENG) that is a simple, versatile, antibacterial, and antifouling device . The structure of the pDA-S-TENG is shown in Figure 7(f). This specific example consisted of a pDA membrane on the top as a triboelectric layer, an Al film in the middle as the electrode layer, and a polyethylene terephthalate (PET) film at the bottom as a substrate layer. The working method used was the single-electrode mode, which permits contact with a range of different materials to produce electricity, as shown in Figure 7(g). Latex was shown to yield the best output performance. Figure 7(h) illustrates the shiny shoe, lit by alternately patting the pDA-S-TENG based insole by hand instead of walking. The voltage of the capacitor reached about 3 V once powered by this TENG at a 5 Hz frequency, as shown in Figure 7(i). Due to its bactericidal and antifouling properties, this device promises good development potential in the field of self-powered wearable electronics. Another approach to address these latter issues includes using a simple membrane structure working in the single-electrode mode which exhibits self-sterilizing properties .
The most creative integration structure within a regular shoe, is that of Chen et al., who developed a 3D-printed TENG (3DP-TENG) with a simple integrated procedure, which can be easily, widely and effectively used in making smart insoles . The fabrication process of the 3DP-TENG is shown in Figure 8(a), and the top view as well as a side view (insets) of a 3DP-TENG insole is displayed in Figure 8(b). The device was composed of poly (glycerol sebacate) (PGS) as one triboelectric material and CNTs as the other triboelectric material and electrode, working in the single-electrode, mode as shown in Figure 8(c). Salt particles were added to the PGS to obtain a hierarchical porous structure after salt leaching. Compared with traditional molding methods, the hierarchical porous 3DP-TENGs could achieve better output performance using the same amount of composite ink, as shown in Figure 8(d). To prove its practicality, experiments were run as shown in Figure 8(e), which shows the voltage property of a 22 μF capacitor being charged by the 3DP-TENG insole simultaneously powering an electronic watch. A self-powered lighting shoe shown in Figure 8(f) shows that the LEDs can be lit by stomping through the 3DP-TENG insole inside the shoe. The 3D printing strategy developed here has broad development prospects, instead of assembling different parts together to obtain 3D structures like the previously reported TENGs.
In summary, the TENG used directly as an insole is relatively large in size and its activity varies from place to place in relation to applied foot pressure. With the entire insole size area being in contact with the soles of the feet, this form is most affected by the sweat, dirt, and bacteria produced by the soles of the feet. Therefore, the requirements for material selection of this form of TENG must be of the highest quality, water-resistant, bacteria-resistant, structurally stable, and mechanically robust. Future research could also integrate human sweat and temperature sensors with TENG to power them and send wireless signals to mobile phones to provide information for human health assessments.
3.4. TENGs Integrated into the Soles
TENG can also be integrated into the sole during the production process, given that the sole has a relatively large space that can harness large movement ranges and improve output performance [16, 132, 170, 171]. Niu et al. first proposed a highly-efficient self-charging system for sustainably powering wearable electronics, in which the most important part was the ingenious design of TENG . As shown in Figure 9(a), a zigzag-shaped Kapton film was selected as the substrate and decorated with multiple TENG units, which were composed of Al foil as both the triboelectric layer and electrode and fluorinated ethylene propylene (FEP) layer with the copper electrode. The as-fabricated TENG is very thin and lightweight (Figure 9(b)), thus easily embedded into the soles. Figure 9(c) shows that the output voltage was able to reach up to 700 V, indicating great application potential. A novel corrosion-resistant copper-nickel based TENG with a similar, multilayered, and stacked structure that can deliver up to 1500 V when integrated into the shoe, was also developed .
Another developed TENG structure also relied on the multilayer approach with closely stacked arches to improve output performance . Figure 9(d) illustrates the structure of the multilayer TENG made up of many planes and waved layers. Every plane layer is the structure of dielectric–conductive–dielectric style, and every waved layer is the structure of conductive–dielectric–conductive architecture, as shown in Figure 9(e), to provide a nifty TENG design. The Ecoflex 00-30 super soft silicone was selected as the dielectric elastomer, and a mixture of Ecoflex 00-30 with carbon black and carbon nanotubes was selected as the conductive elastomer. The working mechanism developed relied on cyclic changes of contact between the dielectric elastomer and conductive elastomer, driven by an external pressure or a stretchable force. Figure 9(f) displays TENG integrated into the sole, which can continually power a pedometer while walking at a normal frequency (Figure 9(g)). The TENG not only has high efficiency in generating electricity but can also be combined with a pedometer and fitness tracker to monitor human movement data, presenting very broad practical application value.
In conclusion, the TENG is integrated into the sole and can be completely isolated from the shoe interior and the external environment, resulting in extremely superior working conditions. In order to allow comfortable wear, the sole is generally designed to be thicker and elastic. This makes it possible for multiple TENGs to work together in contact-separation mode, which not only effectively utilizes the elasticity of the sole for intermittent contact and separation, but utilizes it also to work with multiple TENGs simultaneously and improve output efficiency. In addition, future research suggests designing the entire sole as a TENG to increase the area of contact and thus the output power. Due to the excellent working conditions inside the soles, it is also possible to integrate locator chips into the soles and use TENG for permanent power supply, particularly suitable for real-time location monitoring of the elderly and children.
3.5. TENGs under the Soles
Some researchers have placed TENG under the soles of shoes, where its durability is greatly reduced due to severe wear and tear on the ground, and where it was thus necessary to select triboelectric or packaging materials with good mechanical robustness [133, 172–176]. In this space, most of the research achievements have been linked to generating electricity. Wang et al. developed a TENG with outstanding structural design and optimized materials . Figure 10(a) shows the structure of a tube-shaped TENG, made up of a tube-shaped dielectric layer with a back electrode outside and a belt-like helix inside acting as a triboelectric layer and electrode. The silicone rubber was selected as the encapsulation material to provide flexibility and stretchability in multidimension. Silicone rubber, carbon black and CNTs were mixed to fabricate the inner and output electrodes. Figure 10(b) shows the TENG-tubes with a diameter of 2–3 mm, weaved into textile. The working principle of the TENG-tube relies on the alternating contact/separation between the inner and outer dielectric, when compressed and released, as illustrated in Figure 10(c). To demonstrate its practical value, 40 tubes were mounted under the shoes (Figure 10(d)). Figure 10(e) illustrates an electronic watch that can be immediately and sustainably powered by walking and a LIB which can be also charged simultaneously while walking (Figure 10(f)). Zhang et al. proposed an advanced contact-separation mode TENG, based on macroshaped and commercial conductive polyurethane foam . As shown in Figure 10(g), the TENG was composed of a macrostructured conductive PU foam (C-PUF) doped with conductive carbon black powder and shaped with 5 triangle prisms acting as one triboelectric layer and electrode. Moreover a PTFE film stuck onto the top Al electrode acted as the other triboelectric layer. The Al electrode and the C-PUF were pasted to an insulating Kapton substrate and a paper substrate, respectively. Figure 10(h) shows a top view of the as-fabricated TENG. The working mechanism here relied on the cyclic contact and separation between the PTFE and the C-PUF. The maximum short-circuit current was about 2.2 μA, as exhibited in Figure 10(i). Moreover, it was discovered that the greater was the external force applied, the greater the output voltage became, as shown in Figure 10(j). When the TENG was placed under the sole to demonstrate its performance, the output voltage of the capacitor with a full-wave rectifier (as shown in Figure 10(k)) generated a greater output than at the forefoot, due to greater pressure discharge and reduced cushioning. Moreover, TENGs with a liquid PEDOT:PSS electrode  and with humidity-resisting characteristics  were also designed to simply generate electricity.
TENGs integrated under the soles of shoes have other surprising effects. For instance, Ahmed et al. developed a fire-retardant TENG (FRTENG), which could endure extremely high temperatures . The FRTENG consists solely of a copper wire and carbon aerogel nanocomposite (CaNC) working in the single-electrode mode. This mechanism was based on sol-gel polymerization of resorcinol-formaldehyde, mixed with polyacrylonitrile nanofibers and graphene oxide nanosheets (Figure 11(a)). After the sol-gel was carbonized in a supercritical drying step, lightweight and durable carbon aerogel was obtained (Figure 11(b)). This could be directly fabricated into FRTENG, working in the single-electrode mode. Figure 11(c) illustrates how the FRTENG is flame resistant, and how the value of short-circuit current is only slightly reduced after fire exposure. In addition, the FRTENG could be mounted under the shoes (Figure 11(d)) as a tracking sensor to wirelessly monitor firefighters under dangerous and hazardous conditions, allowing to automatically signal for help in an emergency. The short circuit current obtained is shown in Figure 11(e); the variation in both amplitude and frequency could indeed be used to distinguish the walking, running, and falling of a fireman.
In general, TENG is exposed to extremely harsh working conditions when placed under the sole of a shoe, and its service life is greatly reduced by the crushing pressure of the sole of the foot, as well as the severe friction of the pavement. Therefore, future research should focus on the encapsulation of TENG. The packaging material ought to have strong mechanical robustness, wear resistance, and water resistance. In addition, the structural design of the TENG ought to be optimized to collect both the downward pressure of the foot and the friction between the shoes and the ground, thus significantly increasing the power output that can be used for night lighting and the continuous power supply of other electronic devices.
On the basis of the above discussion, TENG based smart shoes could be designed and engineered in a manner that allows installing them into commercial shoes without negatively affecting wearing comfort. The electricity generated from the smart shoes can, not only provide continuous power to various wearable bioelectronics, but also be employed as a self-powered sensors to monitor our walking gait in real-time. The output performance and main features of various TENG enabled smart shoes are summarized in Table 1.
4. Summary and Perspective
Evergrowing device interconnectability, as well as the pervasive emergence of next generation Internet of Thing infrastructure, provides an ecosystem in which wearable electronics will flourish, changing our lives in ways we are yet to understand. In order to convert passive human biomechanical energy into electricity, triboelectric nanogenerators can be employed to provide a sustainable and pervasive energy solution, and they can be harnessed to help materialize the aforementioend Internet of Things paradigm. Among them, research into TENG-based smart shoes has attracted significant attention due to the ability to harvest the highest amount of available passive biomechanical energy released during locomotion. In this review, the latest achievements of TENG-based smart shoes for biomechanical energy harvesting are systematically summarized and reviewed from two perspectives (Figure 12). The foremost is that smart electricity generation shoes are a sustainable and pervasive power source for wearable electronics, a secondly that. The other is that they can also monitor human health status by analyzing the generated electric signals.
Although research into TENG-based smart shoes has achieved remarkable progress, as an emerging energy technology with great potential, both challenges and opportunities coexist. To advance the field development, research efforts could be focused on improving the following aspects: (1)Wearing Comfort. The comfort of the insole largely determines whether it could be acceptable for daily wearing. Therefore, in the design of TENG, especially in the interior of shoes, new materials that are soft, breathable, and mechanically durable are highly desired. In addition, new soft electrodes need to be developed to replace the rigid metal electrode to improve wearability.(2)Enhancing the Waterproof Capabilities. Human feet perspire heavily, resulting in a relatively high internal humidity of the shoes, which impacts TENG output negatively . Therefore, it is particularly necessary to develop TENG that are waterproof or which are optimized in functionality in humid environments. Enhancing the breathability of the shoes could be another approach to reduce the perspiration induced internal humidity. In addition, the waterproof property of smart shoes is also necessary against pluvial weather. TENG and other electronic devices can be significantly affected by water leaking into shoes, so the easiest way to solve this problem is to apply a waterproof coating to the outside of the smart shoes to prevent rain from penetrating.(3)Enhancing the Mechanical Durability. TENG-based smart shoes can be subject to considerable mechanical stress due to repeated and constant body movement which could place a significant impact on the mechanical durability of the shoes, and especially the triboelectric materials. Thus, highly durable materials with enhanced wearability are required. Robust structure design could be another pathway to enhance the mechanical strength of the smart shoes.(4)Detachable Property of TENG. Smart shoes require constant washing. Besides enhancing the washability of the TENG component of the shoes, an alternative approach is to make the TENG sole component easily disassembled and assembled. TENG devices could be detached when the shoe is washed and later reinstalled when the shoe is dried.(5)Structure Optimization according to the Working Location of the TENG. Foot pressure varies during the various stages of ambulation, and when designing footwear-enabled TENG, the characteristics of the distribution of human foot pressure should be considered to guide the TENG structure and optimize the conversion efficiency of mechanical energy into electrical energy, improving the overall efficiency of energy collection.(6)Energy Harvesting beyond Human Footfall. Existing smart shoes can convert human biomechanical energy into electricity. However, other forms of renewable energy are also accessible in the ambient environment, including raindrop striking on the outside of the shoe, wind blowing, and even snow friction, which all can also be converted into electricity while walking.(7)Intelligence. The rapid advancement of modern technologies and artificial intelligence is changing our way of living. Intelligent and multifunctional smart shoes could be explored beyond electricity generation. For instance, in order to automatically control the temperature of an inner space, smart shoe could be employed to control the heating, cooling, or ventilation automatically, and maintain the thermal comfort for an individual. Additionally, smart shoes could also be applied to monitor human body movement and send real-time health data wirelessly to the medical system for personalized health care.
Conflicts of Interest
The authors declare that there is no conflict of interest regarding the publication of this article.
J.C.did the supervision; J.C. and Y.Z. did the conceptualization; J.C. and Y.Z. did the visualization; Y. Z. and J.C. did the wrote the original draft; Y.Z., A.L., J. X., A.N., and J.C. did the writing of the review and editing; J.C. did the funding acquisition.
The authors acknowledge the Henry Samueli School of Engineering & Applied Science and the Department of Bioengineering at the University of California, Los Angeles for the startup support. J.C. also acknowledges the 2020 Okawa Foundation Research Grant.
- Z. Zhou, K. Chen, X. Li et al., “Sign-to-speech translation using machine-learning-assisted stretchable sensor arrays,” Nature Electronics, vol. 3, pp. 571–578, 2020.
- Q. Zhang, Q. Liang, Q. Liao et al., “Service behavior of multifunctional triboelectric nanogenerators,” Advanced Materials, vol. 29, no. 17, article 1606703, 2017.
- K. Meng, S. Zhao, Y. Zhou et al., “A wireless textile-based sensor system for self-powered personalized health care,” Matter, vol. 2, no. 4, pp. 896–907, 2020.
- Z. Zhou, S. Padgett, Z. Cai et al., “Single-layered ultra-soft washable smart textiles for all-around ballistocardiograph, respiration, and posture monitoring during sleep,” Biosensors and Bioelectronics, vol. 155, article 112064, 2020.
- Y. Su, J. Wang, B. Wang et al., “Alveolus-inspired active membrane sensors for self-powered wearable chemical sensing and breath analysis,” ACS Nano, vol. 14, no. 5, pp. 6067–6075, 2020.
- Q. Zhang, Q. Liang, Z. Zhang et al., “Electromagnetic shielding hybrid nanogenerator for health monitoring and protection,” Advanced Functional Materials, vol. 28, no. 1, article 1703801, 2018.
- S. Han, M. K. Kim, B. Wang, D. S. Wie, S. Wang, and C. H. Lee, “Mechanically reinforced skin-electronics with networked nanocomposite elastomer,” Advanced Materials, vol. 28, no. 46, pp. 10257–10265, 2016.
- B. Q. Zhao, M. H. Zhao, M. Liu, C. X. Yin, and H. Shu, “The front-end electronics design of dose monitors for beam delivery system of Shanghai advanced proton therapy facility,” Nuclear Science and Techniques, vol. 28, no. 6, p. 83, 2017.
- T. C. Ogbuanya, C. Eseadi, C. T. Orji et al., “Effect of rational-emotive behavior therapy program on the symptoms of burnout syndrome among undergraduate electronics work students in Nigeria,” Psychological Reports, vol. 122, no. 1, pp. 4–22, 2019.
- M. T. Lazarescu, “Design of a wsn platform for long-term environmental monitoring for iot applications,” IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 3, no. 1, pp. 45–54, 2013.
- S. Fang, L. Da Xu, Y. Zhu et al., “An integrated system for regional environmental monitoring and management based on Internet of Things,” IEEE Transactions on Industrial Informatics, vol. 10, no. 2, pp. 1596–1605, 2014.
- M. Srbinovska, C. Gavrovski, V. Dimcev, A. Krkoleva, and V. Borozan, “Environmental parameters monitoring in precision agriculture using wireless sensor networks,” Journal of Cleaner Production, vol. 88, pp. 297–307, 2015.
- G. Chen, Y. Li, M. Bick, and J. Chen, “Smart textiles for electricity generation,” Chemical Reviews, vol. 120, no. 8, pp. 3668–3720, 2020.
- N. Zhang, J. Chen, Y. Huang et al., “A wearable all-solid photovoltaic textile,” Advanced Materials, vol. 28, no. 2, pp. 263–269, 2016.
- J. Chen, Y. Huang, N. Zhang et al., “Micro-cable structured textile for simultaneously harvesting solar and mechanical energy,” Nature Energy, vol. 1, no. 10, article 16138, 2016.
- C. Yan, Y. Gao, S. Zhao et al., “A linear-to-rotary hybrid nanogenerator for high-performance wearable biomechanical energy harvesting,” Nano Energy, vol. 67, article 104235, 2020.
- W. Liu, J. Chen, Z. Chen et al., “Stretchable lithium-ion batteries enabled by device-scaled wavy structure and elastic-sticky separator,” Advanced Energy Materials, vol. 7, no. 21, article 1701076, 2017.
- K. Liu, B. Kong, W. Liu et al., “Stretchable lithium metal anode with improved mechanical and electrochemical cycling stability,” Joule, vol. 2, no. 9, pp. 1857–1865, 2018.
- J. Wan, J. Xie, X. Kong et al., “Ultrathin, flexible, solid polymer composite electrolyte enabled with aligned nanoporous host for lithium batteries,” Nature Nanotechnology, vol. 14, no. 7, pp. 705–711, 2019.
- S. M. Xu, X. Liang, X. Y. Wu et al., “Multistaged discharge constructing heterostructure with enhanced solid-solution behavior for long-life lithium-oxygen batteries,” Nature Communications, vol. 10, no. 1, article 5810, 2019.
- G. Zan, T. Wu, P. Hu et al., “An approaching-theoretical-capacity anode material for aqueous battery: hollow hexagonal prism Bi2O3 assembled by nanoparticles,” Energy Storage Materials, vol. 28, pp. 82–90, 2020.
- N. Zhang, F. Huang, S. Zhao et al., “Photo-rechargeable fabrics as sustainable and robust power sources for wearable bioelectronics,” Matter, vol. 2, no. 5, pp. 1260–1269, 2020.
- C. Dagdeviren, Z. Li, and Z. L. Wang, “Energy harvesting from the animal/human body for self-powered electronics,” Annual Review of Biomedical Engineering, vol. 19, no. 1, pp. 85–108, 2017.
- K. Zhang, Z. L. Wang, and Y. Yang, “Conductive fabric-based stretchable hybridized nanogenerator for scavenging biomechanical energy,” ACS Nano, vol. 10, no. 4, pp. 4728–4734, 2016.
- S. Pu, Y. Liao, K. Chen et al., “Thermogalvanic hydrogel for synchronous evaporative cooling and low-grade heat energy harvesting,” Nano Letters, vol. 20, no. 5, pp. 3791–3797, 2020.
- S. Pu, J. Fu, Y. Liao et al., “Promoting energy efficiency via a self-adaptive evaporative cooling hydrogel,” Advanced Materials, vol. 32, no. 17, article 1907307, 2020.
- H. Wu, Y. A. Huang, F. Xu, Y. Duan, and Z. Yin, “Energy harvesters for wearable and stretchable electronics: from flexibility to stretchability,” Advanced Materials, vol. 28, no. 45, pp. 9881–9919, 2016.
- F. Invernizzi, S. Dulio, M. Patrini, G. Guizzetti, and P. Mustarelli, “Energy harvesting from human motion: materials and techniques,” Chemical Society Reviews, vol. 45, no. 20, pp. 5455–5473, 2016.
- S. Khalid, I. Raouf, A. Khan, N. Kim, and H. S. Kim, “A review of human-powered energy harvesting for smart electronics: recent progress and challenges,” International Journal of Precision Engineering and Manufacturing-Green Technology, vol. 6, no. 4, pp. 821–851, 2019.
- L.-B. Huang, G. Bai, M.-C. Wong, Z. Yang, W. Xu, and J. Hao, “Magnetic-assisted noncontact triboelectric nanogenerator converting mechanical energy into electricity and light emissions,” Advanced Materials, vol. 28, no. 14, pp. 2744–2751, 2016.
- Y. Zi, H. Guo, Z. Wen, M. H. Yeh, C. Hu, and Z. L. Wang, “Harvesting low-frequency (<5 hz) irregular mechanical energy: a possible killer application of triboelectric nanogenerator,” ACS Nano, vol. 10, no. 4, pp. 4797–4805, 2016.
- Y. Zi, J. Wang, S. Wang et al., “Effective energy storage from a triboelectric nanogenerator,” Nature Communications, vol. 7, no. 1, article 10987, 2016.
- X. Wang, S. Niu, F. Yi et al., “Harvesting ambient vibration energy over a wide frequency range for self-powered electronics,” ACS Nano, vol. 11, no. 2, pp. 1728–1735, 2017.
- X. Xi, W. Jiang, Z. Lü, S. M. Miran, and Z. Z. Luo, “Daily activity monitoring and fall detection based on surface electromyography and plantar pressure,” Complexity, vol. 2020, Article ID 9532067, 12 pages, 2020.
- K. Hori, Y. Mao, Y. Ono et al., “Inertial measurement unit-based estimation of foot trajectory for clinical gait analysis,” Frontiers in Physiology, vol. 10, article 1530, 2020.
- E. L. Dugan and J. S. Shilt, “The role of motion analysis in surgical planning for gait abnormalities in cerebral palsy,” Physical Medicine and Rehabilitation Clinics of North America, vol. 31, no. 1, pp. 107–115, 2020.
- S. Del Din, A. J. Yarnall, T. R. Barber et al., “Continuous real-world gait monitoring in idiopathic rem sleep behavior disorder,” Journal of Parkinsons Disease, vol. 10, no. 1, pp. 283–299, 2020.
- D. Patashov, Y. Menahem, O. Ben-Haim et al., “Methods for gait analysis during obstacle avoidance task,” Annals of Biomedical Engineering, vol. 48, no. 2, pp. 634–643, 2020.
- S. J. Kim and G. E. Yoo, “Rhythm-motor dual task intervention for fall prevention in healthy older adults,” Frontiers in Psychology, vol. 10, article 3027, 2020.
- J. M. Hausdorff, D. A. Rios, and H. K. Edelberg, “Gait variability and fall risk in community-living older adults: a 1-year prospective study,” Archives of Physical Medicine and Rehabilitation, vol. 82, no. 8, pp. 1050–1056, 2001.
- A. Duschau-Wicke, J. von Zitzewitz, A. Caprez, L. Lunenburger, and R. Riener, “Path control: a method for patient-cooperative robot-aided gait rehabilitation,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 18, no. 1, pp. 38–48, 2010.
- H. Vallery, E. H. F. van Asseldonk, M. Buss, and H. van der Kooij, “Reference trajectory generation for rehabilitation robots: complementary limb motion estimation,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 17, no. 1, pp. 23–30, 2009.
- J. F. Veneman, R. Kruidhof, E. E. G. Hekman, R. Ekkelenkamp, E. H. F. van Asseldonk, and H. van der Kooij, “Design and evaluation of the lopes exoskeleton robot for interactive gait rehabilitation,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 15, no. 3, pp. 379–386, 2007.
- G. Kwakkel and R. C. Wagenaar, “Effect of duration of upper- and lower-extremity rehabilitation sessions and walking speed on recovery of interlimb coordination in hemiplegic gait,” Physical Therapy, vol. 82, no. 5, pp. 432–448, 2002.
- M. Xu, T. Chen, C. Yang, X. Meng, Q. Peng, and X. Lei, “Freezing more than gait: a case report of freezing of urination (FOU) in Parkinson's disease,” Parkinsons Disease, vol. 2020, article 5190703, pp. 1–3, 2020.
- S. Peter, N. D. Crock, B. J. Billings et al., “Argentine tango reduces fall risk in Parkinson's patients,” Journal of the American Medical Directors Association, vol. 21, no. 2, pp. 291-292, 2020.
- I. El Maachi, G. A. Bilodeau, and W. Bouachir, “Deep 1D-convnet for accurate parkinson disease detection and severity prediction from gait,” Expert Systems with Applications, vol. 143, article 113075, 2020.
- N. Golfrè Andreasi, V. Rispoli, E. Contaldi et al., “Deep brain stimulation and refractory freezing of gait in Parkinson's disease: improvement with high-frequency current steering co-stimulation of subthalamic nucleus and substantia nigra,” Brain Stimulation, vol. 13, no. 2, pp. 280–283, 2020.
- Y. Weizman, A. M. Tan, and F. K. Fuss, “Benchmarking study of the forces and centre of pressure derived from a novel smart-insole against an existing pressure measuring insole and force plate,” Measurement, vol. 142, pp. 48–59, 2019.
- E. M. Macdonald, B. M. Perrin, M. Hyett, and M. I. C. Kingsley, “Factors influencing behavioural intention to use a smart shoe insole in regionally based adults with diabetes: a mixed methods study,” Journal of Foot and Ankle Research, vol. 12, no. 1, p. 29, 2019.
- Z. Lin, Z. Wu, B. Zhang et al., “A triboelectric nanogenerator-based smart insole for multifunctional gait monitoring,” Advanced Materials Technologies, vol. 4, no. 2, article 1800360, 2019.
- Z. Hussain, S. Z. Nasir, M. Ismail et al., “IoT based smart energy harvester linked to human body motions (ISEHLHM),” International Journal of Computer Science and Network Security, vol. 19, no. 8, pp. 63–69, 2019.
- M. J. Dominguez-Morales, F. Luna-Perejon, L. Miro-Amarante, M. Hernandez-Velazquez, and J. L. Sevillano-Ramos, “Smart footwear insole for recognition of foot pronation and supination using neural networks,” Applied Sciences, vol. 9, no. 19, article 3970, 2019.
- D. G. Armstrong, “Subscription prescription: remote patient monitoring using smart shoes, socks and insoles,” Journal of Wound Care, vol. 28, Supplement 9, p. S3, 2019.
- L. A. Lipsitz, M. Lough, J. Niemi, T. Travison, H. Howlett, and B. Manor, “A shoe insole delivering subsensory vibratory noise improves balance and gait in healthy elderly people,” Archives of Physical Medicine and Rehabilitation, vol. 96, no. 3, pp. 432–439, 2015.
- Z. Yang, S. Zhou, J. Zu, and D. Inman, “High-performance piezoelectric energy harvesters and their applications,” Joule, vol. 2, no. 4, pp. 642–697, 2018.
- F. Qian, T. B. Xu, and L. Zuo, “Material equivalence, modeling and experimental validation of a piezoelectric boot energy harvester,” Smart Materials and Structures, vol. 28, no. 7, article 075018, 2019.
- X. Zhang, J. Ai, Z. Ma et al., “Binary cooperative flexible magnetoelectric materials working as self-powered tactile sensors,” Journal of Materials Chemistry C, vol. 7, no. 28, pp. 8527–8536, 2019.
- D. Carroll and M. Duffy, “Modelling, design, and testing of an electromagnetic power generator optimized for integration into shoes,” Proceedings of the Institution of Mechanical Engineers Part I-Journal of Systems and Control Engineering, vol. 226, no. 2, pp. 256–270, 2011.
- S. Wu, P. C. K. Luk, C. Li, X. Zhao, Z. Jiao, and Y. Shang, “An electromagnetic wearable 3-DoF resonance human body motion energy harvester using ferrofluid as a lubricant,” Applied Energy, vol. 197, pp. 364–374, 2017.
- K. Zhang, X. Wang, Y. Yang, and Z. L. Wang, “Hybridized electromagnetic-triboelectric nanogenerator for scavenging biomechanical energy for sustainably powering wearable electronics,” ACS Nano, vol. 9, no. 4, pp. 3521–3529, 2015.
- L. Liu, W. Tang, C. Deng et al., “Self-powered versatile shoes based on hybrid nanogenerators,” Nano Research, vol. 11, no. 8, pp. 3972–3978, 2018.
- C. Rodrigues, A. Gomes, A. Ghosh, A. Pereira, and J. Ventura, “Power-generating footwear based on a triboelectric-electromagnetic-piezoelectric hybrid nanogenerator,” Nano Energy, vol. 62, pp. 660–666, 2019.
- Z. L. Wang and W. Wu, “Nanotechnology-enabled energy harvesting for self-powered micro-/nanosystems,” Angewandte Chemie-International Edition, vol. 51, no. 47, pp. 11700–11721, 2012.
- Z. L. Wang, “Triboelectric nanogenerators as new energy technology for self-powered systems and as active mechanical and chemical sensors,” ACS Nano, vol. 7, no. 11, pp. 9533–9557, 2013.
- Z. L. Wang, “Triboelectric nanogenerators as new energy technology and self-powered sensors-principles, problems and perspectives,” Faraday Discussions, vol. 176, pp. 447–458, 2014.
- J. Chen, Ph.D. Thesis, Georgia Institute of Technology, Atlanta, 2016, March 2020, http://hdl.handle.net/1853/54956.
- W. Deng, Y. Zhou, X. Zhao et al., “Ternary electrification layered architecture for high-performance triboelectric nanogenerators,” ACS Nano, vol. 14, no. 7, pp. 9050–9058, 2020.
- L. Jin, X. Xiao, W. Deng et al., “Manipulating relative permittivity for high-performance wearable triboelectric nanogenerators,” Nano Letters, vol. 20, no. 9, pp. 6404–6411, 2020.
- W. Yang, J. Chen, G. Zhu et al., “Harvesting energy from the natural vibration of human walking,” ACS Nano, vol. 7, no. 12, pp. 11317–11324, 2013.
- Y. Yang, H. Zhang, J. Chen et al., “Single-electrode-based sliding triboelectric nanogenerator for self-powered displacement vector sensor system,” ACS Nano, vol. 7, no. 8, pp. 7342–7351, 2013.
- Y. Yang, H. Zhang, Z. H. Lin et al., “Human skin based triboelectric nanogenerators for harvesting biomechanical energy and as self-powered active tactile sensor system,” ACS Nano, vol. 7, no. 10, pp. 9213–9222, 2013.
- H. Zhang, Y. Yang, Y. Su et al., “Triboelectric nanogenerator as self-powered active sensors for detecting liquid/gaseous water/ethanol,” Nano Energy, vol. 2, no. 5, pp. 693–701, 2013.
- J. Chen, J. Yang, H. Guo et al., “Automatic mode transition enabled robust triboelectric nanogenerators,” ACS Nano, vol. 9, no. 12, pp. 12334–12343, 2015.
- J. Chen, G. Zhu, J. Yang et al., “Personalized keystroke dynamics for self-powered human-machine interfacing,” ACS Nano, vol. 9, no. 1, pp. 105–116, 2015.
- Y. Zhou, W. Deng, J. Xu, and J. Chen, “Engineering materials at the nanoscale for triboelectric nanogenerators,” Cell Reports Physical Science, vol. 1, no. 8, article 100142, 2020.
- Q. Zhang, Z. Zhang, Q. Liang et al., “Green hybrid power system based on triboelectric nanogenerator for wearable/portable electronics,” Nano Energy, vol. 55, pp. 151–163, 2019.
- J. Choi, I. Jung, and C. Y. Kang, “A brief review of sound energy harvesting,” Nano Energy, vol. 56, pp. 169–183, 2019.
- M. Javadi, A. Heidari, and S. Darbari, “Realization of enhanced sound-driven CNT-based triboelectric nanogenerator, utilizing sonic array configuration,” Current Applied Physics, vol. 18, no. 4, pp. 361–368, 2018.
- J. Liu, N. Cui, L. Gu et al., “A three-dimensional integrated nanogenerator for effectively harvesting sound energy from the environment,” Nanoscale, vol. 8, no. 9, pp. 4938–4944, 2016.
- X. Fan, J. Chen, J. Yang, P. Bai, Z. Li, and Z. L. Wang, “Ultrathin, rollable, paper-based triboelectric nanogenerator for acoustic energy harvesting and self-powered sound recording,” ACS Nano, vol. 9, no. 4, pp. 4236–4243, 2015.
- N. Cui, L. Gu, J. Liu et al., “High performance sound driven triboelectric nanogenerator for harvesting noise energy,” Nano Energy, vol. 15, pp. 321–328, 2015.
- Q. Jiang, B. Chen, K. Zhang, and Y. Yang, “Ag nanoparticle-based triboelectric nanogenerator to scavenge wind energy for a self-charging power unit,” ACS Applied Materials & Interfaces, vol. 9, no. 50, pp. 43716–43723, 2017.
- J. Qian and X. Jing, “Wind-driven hybridized triboelectric-electromagnetic nanogenerator and solar cell as a sustainable power unit for self-powered natural disaster monitoring sensor networks,” Nano Energy, vol. 52, pp. 78–87, 2018.
- Q. Jiang, B. Chen, and Y. Yang, “Wind-driven triboelectric nanogenerators for scavenging biomechanical energy,” ACS Applied Energy Materials, vol. 1, no. 8, pp. 4269–4276, 2018.
- B. Chen, Y. Yang, and Z. L. Wang, “Scavenging wind energy by triboelectric nanogenerators,” Advanced Energy Materials, vol. 8, no. 10, article 1702649, 2018.
- M. Xu, Y. C. Wang, S. L. Zhang et al., “An aeroelastic flutter based triboelectric nanogenerator as a self-powered active wind speed sensor in harsh environment,” Extreme Mechanics Letters, vol. 15, pp. 122–129, 2017.
- L. Zhang, B. Zhang, J. Chen et al., “Lawn structured triboelectric nanogenerators for scavenging sweeping wind energy on rooftops,” Advanced Materials, vol. 28, no. 8, pp. 1650–1656, 2016.
- M.-L. Seol, J.-H. Woo, S.-B. Jeon et al., “Vertically stacked thin triboelectric nanogenerator for wind energy harvesting,” Nano Energy, vol. 14, pp. 201–208, 2015.
- Y. Yang, G. Zhu, H. Zhang et al., “Triboelectric nanogenerator for harvesting wind energy and as self-powered wind vector sensor system,” ACS Nano, vol. 7, no. 10, pp. 9461–9468, 2013.
- Y. Yang, H. Zhang, R. Liu, X. Wen, T. C. Hou, and Z. L. Wang, “Fully enclosed triboelectric nanogenerators for applications in water and harsh environments,” Advanced Energy Materials, vol. 3, no. 12, pp. 1563–1568, 2013.
- Z. L. Wang, T. Jiang, and L. Xu, “Toward the blue energy dream by triboelectric nanogenerator networks,” Nano Energy, vol. 39, pp. 9–23, 2017.
- X. Wang, Z. Wen, H. Guo et al., “Fully packaged blue energy harvester by hybridizing a rolling triboelectric nanogenerator and an electromagnetic generator,” ACS Nano, vol. 10, no. 12, pp. 11369–11376, 2016.
- J. Chen, J. Yang, Z. Li et al., “Networks of triboelectric nanogenerators for harvesting water wave energy: a potential approach toward blue energy,” ACS Nano, vol. 9, no. 3, pp. 3324–3331, 2015.
- G. Zhu, Y. Su, P. Bai et al., “Harvesting water wave energy by asymmetric screening of electrostatic charges on a nanostructured hydrophobic thin-film surface,” ACS Nano, vol. 8, no. 6, pp. 6031–6037, 2014.
- Q. Zhang, Q. Liang, Q. Liao et al., “An amphiphobic hydraulic triboelectric nanogenerator for a self-cleaning and self-charging power system,” Advanced Functional Materials, vol. 28, no. 35, article 1803117, 2018.
- J. Chen and Z. L. Wang, “Reviving vibration energy harvesting and self-powered sensing by a triboelectric nanogenerator,” Joule, vol. 1, no. 3, pp. 480–521, 2017.
- J. Chen, G. Zhu, W. Yang et al., “Harmonic-Resonator-Based triboelectric nanogenerator as a sustainable power source and a self-powered active vibration sensor,” Advanced Materials, vol. 25, no. 42, pp. 6094–6099, 2013.
- J. Y. Park, M. Salauddin, and M. S. Rasel, “Nanogenerator for scavenging low frequency vibrations,” Journal of Micromechanics and Microengineering, vol. 29, no. 5, article 053001, 2019.
- H. Zhang, Y. Yang, Y. Su et al., “Triboelectric nanogenerator for harvesting vibration energy in full space and as self-powered acceleration sensor,” Advanced Functional Materials, vol. 24, no. 10, pp. 1401–1407, 2014.
- C. Wu, H. Huang, R. Li, and C. Fan, “Research on the potential of spherical triboelectric nanogenerator for collecting vibration energy and measuring vibration,” Sensors, vol. 20, no. 4, article 1063, 2020.
- Y. Wang, Y. Yang, and Z. L. Wang, “Triboelectric nanogenerators as flexible power sources,” NPJ Flexible Electronics, vol. 1, no. 1, p. 10, 2017.
- C. Zhou, Y. Yang, N. Sun et al., “Flexible self-charging power units for portable electronics based on folded carbon paper,” Nano Research, vol. 11, no. 8, pp. 4313–4322, 2018.
- X.-S. Zhang, M. Han, B. Kim, J. F. Bao, J. Brugger, and H. Zhang, “All-in-one self-powered flexible microsystems based on triboelectric nanogenerators,” Nano Energy, vol. 47, pp. 410–426, 2018.
- J. G. Sun, T. N. Yang, C. Y. Wang, and L. J. Chen, “A flexible transparent one-structure tribo-piezo-pyroelectric hybrid energy generator based on bio-inspired silver nanowires network for biomechanical energy harvesting and physiological monitoring,” Nano Energy, vol. 48, pp. 383–390, 2018.
- J. Song, L. B. Gao, X. Tao, and L. Li, “Ultra-flexible and large-area textile-based triboelectric nanogenerators with a sandpaper-induced surface microstructure,” Materials, vol. 11, no. 11, article 2120, 2018.
- R. Mohammadpour, “Flexible triboelectric nanogenerator based on high surface area TiO2Nanotube arrays,” Advanced Engineering Materials, vol. 20, no. 5, article 1700767, 2018.
- H. Chen, Y. Xu, J. Zhang, W. Wu, and G. Song, “Enhanced stretchable graphene-based triboelectric nanogenerator via control of surface nanostructure,” Nano Energy, vol. 58, pp. 304–311, 2019.
- A. S. Almuslem, S. F. Shaikh, and M. M. Hussain, “Flexible and stretchable electronics for harsh-environmental applications,” Advanced Materials Technologies, vol. 4, no. 9, article 1900145, 2019.
- L. Xie, X. Chen, Z. Wen et al., “Spiral steel wire based fiber-shaped stretchable and tailorable triboelectric nanogenerator for wearable power source and active gesture sensor,” Nano-Micro Letters, vol. 11, no. 1, p. 39, 2019.
- S. Zhao, J. Wang, X. du et al., “All-nanofiber-based ultralight stretchable triboelectric nanogenerator for self-powered wearable electronics,” ACS Applied Energy Materials, vol. 1, no. 5, pp. 2326–2332, 2018.
- X. You, J. He, N. Nan et al., “Stretchable capacitive fabric electronic skin woven by electrospun nanofiber coated yarns for detecting tactile and multimodal mechanical stimuli,” Journal of Materials Chemistry C, vol. 6, no. 47, pp. 12981–12991, 2018.
- Y. Yin, J. Wang, S. Zhao et al., “Stretchable and tailorable triboelectric nanogenerator constructed by nanofibrous membrane for energy harvesting and self-powered biomechanical monitoring,” Advanced Materials Technologies, vol. 3, no. 5, article 1700370, 2018.
- Y. Yang, N. Sun, Z. Wen et al., “Liquid-Metal-Based super-stretchable and structure-designable triboelectric nanogenerator for wearable electronics,” ACS Nano, vol. 12, no. 2, pp. 2027–2034, 2018.
- S. Wang, M. He, B. Weng et al., “Stretchable and wearable triboelectric nanogenerator based on kinesio tape for self-powered human motion sensing,” Nanomaterials, vol. 8, no. 9, p. 657, 2018.
- A. R. Mule, B. Dudem, S. A. Graham, and J. S. Yu, “Humidity sustained wearable pouch-type triboelectric nanogenerator for harvesting mechanical energy from human activities,” Advanced Functional Materials, vol. 29, no. 17, article 1807779, 2019.
- Y.-T. Jao, P. K. Yang, C. M. Chiu et al., “A textile-based triboelectric nanogenerator with humidity-resistant output characteristic and its applications in self-powered healthcare sensors,” Nano Energy, vol. 50, pp. 513–520, 2018.
- J. H. Lee, R. Hinchet, S. K. Kim, S. Kim, and S. W. Kim, “Shape memory polymer-based self-healing triboelectric nanogenerator,” Energy & Environmental Science, vol. 8, no. 12, pp. 3605–3613, 2015.
- W. Xu, L. B. Huang, and J. Hao, “Fully self-healing and shape-tailorable triboelectric nanogenerators based on healable polymer and magnetic-assisted electrode,” Nano Energy, vol. 40, pp. 399–407, 2017.
- H. Niu, X. du, S. Zhao et al., “Polymer nanocomposite-enabled high-performance triboelectric nanogenerator with self-healing capability,” RSC Advances, vol. 8, no. 54, pp. 30661–30668, 2018.
- F. Yi, X. Wang, S. Niu et al., “A highly shape-adaptive, stretchable design based on conductive liquid for energy harvesting and self-powered biomechanical monitoring,” Science Advances, vol. 2, no. 6, article e1501624, 2016.
- H. Guo, M. H. Yeh, Y. C. Lai et al., “All-in-one shape-adaptive self-charging power package for wearable electronics,” ACS Nano, vol. 10, no. 11, pp. 10580–10588, 2016.
- G. Zhu, Y. S. Zhou, P. Bai et al., “A shape-adaptive thin-film-based approach for 50% high-efficiency energy generation through micro-grating sliding electrification,” Advanced Materials, vol. 26, no. 23, pp. 3788–3796, 2014.
- T. Huang, J. Zhang, B. Yu et al., “Fabric texture design for boosting the performance of a knitted washable textile triboelectric nanogenerator as wearable power,” Nano Energy, vol. 58, pp. 375–383, 2019.
- W. Yang, R. Cao, X. Zhang, H. Li, and C. Li, “Air-permeable and washable paper-based triboelectric nanogenerator based on highly flexible and robust paper electrodes,” Advanced Materials Technologies, vol. 3, no. 11, article 1800178, 2018.
- C. Ning, L. Tian, X. Zhao et al., “Washable textile-structured single-electrode triboelectric nanogenerator for self-powered wearable electronics,” Journal of Materials Chemistry A, vol. 6, no. 39, pp. 19143–19150, 2018.
- Z. Lin, J. Yang, X. Li et al., “Large-scale and washable smart textiles based on triboelectric nanogenerator arrays for self-powered sleeping monitoring,” Advanced Functional Materials, vol. 28, no. 1, article 1704112, 2018.
- K. Dong, Y.-C. Wang, J. Deng et al., “A highly stretchable and washable all-yarn-based self-charging knitting power textile composed of fiber triboelectric nanogenerators and supercapacitors,” ACS Nano, vol. 11, no. 9, pp. 9490–9499, 2017.
- C.-H. Chen, P.-W. Lee, Y.-H. Tsao, and Z.-H. Lin, “Utilization of self-powered electrochemical systems: metallic nanoparticle synthesis and lactate detection,” Nano Energy, vol. 42, pp. 241–248, 2017.
- Z. Li, J. Shen, I. Abdalla, J. Yu, and B. Ding, “Nanofibrous membrane constructed wearable triboelectric nanogenerator for high performance biomechanical energy harvesting,” Nano Energy, vol. 36, pp. 341–348, 2017.
- Z. Lin, Y. Wu, Q. He et al., “An airtight-cavity-structural triboelectric nanogenerator-based insole for high performance biomechanical energy harvesting,” Nanoscale, vol. 11, no. 14, pp. 6802–6809, 2019.
- S. Niu, X. Wang, F. Yi, Y. S. Zhou, and Z. L. Wang, “A universal self-charging system driven by random biomechanical energy for sustainable operation of mobile electronics,” Nature Communications, vol. 6, no. 1, article 8975, 2015.
- J. Wang, S. Li, F. Yi et al., “Sustainably powering wearable electronics solely by biomechanical energy,” Nature Communications, vol. 7, no. 1, article 12744, 2016.
- Z. L. Wang, J. Chen, and L. Lin, “Progress in triboelectric nanogenerators as a new energy technology and self-powered sensors,” Energy & Environmental Science, vol. 8, no. 8, pp. 2250–2282, 2015.
- Z. L. Wang, L. Lin, J. Chen, S. Niu, and Y. Zi, “Triboelectrification,” in Triboelectric Nanogenerators, pp. 1–19, Springer, Switzerland, 2016.
- Z. L. Wang, L. Lin, J. Chen, S. Niu, and Y. Zi, “Theoretical modeling of triboelectric nanogenerators,” in Triboelectric Nanogenerators, pp. 155–183, Springer, Switzerland, 2016.
- H. Zou, Y. Zhang, L. Guo et al., “Quantifying the triboelectric series,” Nature Communications, vol. 10, no. 1, article 1427, 2019.
- M. Seol, S. Kim, Y. Cho et al., “Triboelectric series of 2D layered materials,” Advanced Materials, vol. 30, no. 39, article 1801210, 2018.
- S.-H. Shin, Y. E. Bae, H. K. Moon et al., “Formation of triboelectric SeriesviaAtomic-Level surface functionalization for triboelectric energy harvesting,” ACS Nano, vol. 11, no. 6, pp. 6131–6138, 2017.
- M. Zenkiewicz, T. Zuk, and E. Markiewicz, “Triboelectric series and electrostatic separation of some biopolymers,” Polymer Testing, vol. 42, pp. 192–198, 2015.
- X. Y. Wei, G. Zhu, and Z. L. Wang, “Surface-charge engineering for high-performance triboelectric nanogenerator based on identical electrification materials,” Nano Energy, vol. 10, pp. 83–89, 2014.
- J. Wang, Z. Wen, Y. Zi et al., “All-Plastic-Materials based self-charging power system composed of triboelectric nanogenerators and supercapacitors,” Advanced Functional Materials, vol. 26, no. 7, pp. 1070–1076, 2016.
- J. Li and X. Wang, “Research update: materials design of implantable nanogenerators for biomechanical energy harvesting,” APL Materials, vol. 5, no. 7, article 073801, 2017.
- W. Jiang, H. Li, Z. Liu et al., “Fully bioabsorbable natural-materials-based triboelectric nanogenerators,” Advanced Materials, vol. 30, no. 32, article 1801895, 2018.
- S. A. Han, J. Lee, J. Lin, S. W. Kim, and J. H. Kim, “Piezo/triboelectric nanogenerators based on 2-dimensional layered structure materials,” Nano Energy, vol. 57, pp. 680–691, 2019.
- J. Chen, G. Zhu, W. Yang, J. Yang, L. Lin, and Y. Bie, “Functional nanomaterials for sustainable energy technologies,” Journal of Nanomaterials, vol. 2016, Article ID 2606459, 2 pages, 2016.
- J. Zhu, X. Wang, Y. Xing, and J. Li, “Highly stretchable all-rubber-based thread-shaped wearable electronics for human motion energy-harvesting and self-powered biomechanical tracking,” Nanoscale Research Letters, vol. 14, no. 1, p. 247, 2019.
- F. Yi, L. Lin, S. Niu et al., “Stretchable-Rubber-Based triboelectric nanogenerator and its application as self-powered body motion sensors,” Advanced Functional Materials, vol. 25, no. 24, pp. 3688–3696, 2015.
- Z. B. Li, H. Y. Li, Y. J. Fan et al., “Small-sized, lightweight, and flexible triboelectric nanogenerator enhanced by PTFE/PDMS nanocomposite electret,” ACS Applied Materials & Interfaces, vol. 11, no. 22, pp. 20370–20377, 2019.
- G.-Z. Li, G.-G. Wang, D.-M. Ye et al., “High-performance transparent and flexible triboelectric nanogenerators based on PDMS-PTFE composite films,” Advanced Electronic Materials, vol. 5, no. 4, article 1800846, 2019.
- Z. L. Wang, L. Lin, J. Chen, S. Niu, and Y. Zi, “Triboelectric Nanogenerator: Vertical Contact-Separation Mode,” in Triboelectric Nanogenerators, pp. 23–47, Springer, Switzerland, 2016.
- Z. L. Wang, L. Lin, J. Chen, S. Niu, and Y. Zi, “Triboelectric Nanogenerator: Lateral Sliding Mode,” in Triboelectric Nanogenerators, pp. 49–90, Springer, Switzerland, 2016.
- Z. L. Wang, L. Lin, J. Chen, S. Niu, and Y. Zi, “Triboelectric Nanogenerator: Single-Electrode Mode,” in Triboelectric Nanogenerators, pp. 91–107, Springer, Switzerland, 2016.
- Z. L. Wang, L. Lin, J. Chen, S. Niu, and Y. Zi, “Triboelectric Nanogenerator: Freestanding Triboelectric-Layer Mode,” in Triboelectric Nanogenerators, pp. 109–153, Springer, Switzerland, 2016.
- Z. L. Wang, “Self-Powered nanotech,” Scientific American, vol. 298, no. 1, pp. 82–87, 2008.
- S. Yan, W. Song, J. Lu, J. Wang, Y. Zheng, and R. Xiao, “Post-fabrication modifications of thermoplastic polymeric nanofiber membranes with electroactive polymers for triboelectric nanogenerators,” Nano Energy, vol. 59, pp. 697–704, 2019.
- M. G. Stanford, J. T. Li, Y. Chyan, Z. Wang, W. Wang, and J. M. Tour, “Laser-Induced graphene triboelectric nanogenerators,” ACS Nano, vol. 13, no. 6, pp. 7166–7174, 2019.
- C. C. Chang, J. F. Shih, Y. C. Chiou, R. T. Lee, S. F. Tseng, and C. R. Yang, “Development of textile-based triboelectric nanogenerators integrated with plastic metal electrodes for wearable devices,” International Journal of Advanced Manufacturing Technology, vol. 104, no. 5-8, pp. 2633–2644, 2019.
- Y. J. Fan, X. S. Meng, H. Y. Li et al., “Stretchable porous carbon nanotube-elastomer hybrid nanocomposite for harvesting mechanical energy,” Advanced Materials, vol. 29, no. 2, article 1603115, 2017.
- X. Pu, L. Li, H. Song et al., “A self-charging power unit by integration of a textile triboelectric nanogenerator and a flexible lithium-ion battery for wearable electronics,” Advanced Materials, vol. 27, no. 15, pp. 2472–2478, 2015.
- G. Q. Gu, C. B. Han, J. J. Tian et al., “Antibacterial composite film-based triboelectric nanogenerator for harvesting walking energy,” ACS Applied Materials & Interfaces, vol. 9, no. 13, pp. 11882–11888, 2017.
- T. Huang, C. Wang, H. Yu, H. Wang, Q. Zhang, and M. Zhu, “Human walking-driven wearable all-fiber triboelectric nanogenerator containing electrospun polyvinylidene fluoride piezoelectric nanofibers,” Nano Energy, vol. 14, pp. 226–235, 2015.
- G. Zhu, P. Bai, J. Chen, and Z. L. Wang, “Power-generating shoe insole based on triboelectric nanogenerators for self-powered consumer electronics,” Nano Energy, vol. 2, no. 5, pp. 688–692, 2013.
- S. Nayak, Y. Li, W. Tay et al., “Liquid-metal-elastomer foam for moldable multi-functional triboelectric energy harvesting and force sensing,” Nano Energy, vol. 64, article 103912, 2019.
- J. Park, D. Kim, A. Y. Choi, and Y. T. Kim, “Flexible single-strand fiber-based woven-structured triboelectric nanogenerator for self-powered electronics,” APL Materials, vol. 6, no. 10, article 101106, 2018.
- J. Ma, T. Zhou, J. Bian, Y. Jie, X. Cao, and N. Wang, “Dopamine polymerization tunes triboelectric interface,” Nano Energy, vol. 44, pp. 199–207, 2018.
- S. Chen, T. Huang, H. Zuo et al., “A single integrated 3D-printing process customizes elastic and sustainable triboelectric nanogenerators for wearable electronics,” Advanced Functional Materials, vol. 28, no. 46, article 1805108, 2018.
- H. Guo, T. Li, X. Cao et al., “Self-Sterilized flexible single-electrode triboelectric nanogenerator for energy harvesting and dynamic force sensing,” ACS Nano, vol. 11, no. 1, pp. 856–864, 2017.
- T.-C. Hou, Y. Yang, H. Zhang, J. Chen, L. J. Chen, and Z. Lin Wang, “Triboelectric nanogenerator built inside shoe insole for harvesting walking energy,” Nano Energy, vol. 2, no. 5, pp. 856–862, 2013.
- K. Xia, Z. Xu, Z. Zhu, H. Zhang, and Y. Nie, “Cost-effective copper-nickel-based triboelectric nanogenerator for corrosion-resistant and high-output self-powered wearable electronic systems,” Nanomaterials, vol. 9, no. 5, p. 700, 2019.
- S. Li, J. Wang, W. Peng et al., “Sustainable energy source for wearable electronics based on multilayer elastomeric triboelectric nanogenerators,” Advanced Energy Materials, vol. 7, no. 13, article 1602832, 2017.
- J. Shi, X. Chen, G. Li et al., “A liquid pedot:Pss electrode-based stretchable triboelectric nanogenerator for a portable self-charging power source,” Nanoscale, vol. 11, no. 15, pp. 7513–7519, 2019.
- X. Cui, S. Cao, Z. Yuan et al., “Electrode-free triboelectric nanogenerator for harvesting human biomechanical energy and as a versatile inartificial physiological monitor,” Energy Technology, vol. 7, no. 5, article 1800931, 2019.
- A. Ahmed, M. F. el-Kady, I. Hassan et al., “Fire-retardant, self-extinguishing triboelectric nanogenerators,” Nano Energy, vol. 59, pp. 336–345, 2019.
- H. Zhang, Y. Lu, A. Ghaffarinejad, and P. Basset, “Progressive contact-separate triboelectric nanogenerator based on conductive polyurethane foam regulated with a bennet doubler conditioning circuit,” Nano Energy, vol. 51, pp. 10–18, 2018.
- J. Shen, Z. Li, J. Yu, and B. Ding, “Humidity-resisting triboelectric nanogenerator for high performance biomechanical energy harvesting,” Nano Energy, vol. 40, pp. 282–288, 2017.
- V. Nguyen and R. Yang, “Effect of humidity and pressure on the triboelectric nanogenerator,” Nano Energy, vol. 2, no. 5, pp. 604–608, 2013.
Copyright © 2020 Yongjiu Zou et al. Exclusive Licensee Science and Technology Review Publishing House. Distributed under a Creative Commons Attribution License (CC BY 4.0).