Tong
Zheng
,
Guizhong
Li
*,
Linnan
Zhang
and
Yong
Lei
College of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou 325035, China. E-mail: liguizhong@wzu.edu.cn
First published on 21st November 2023
Triboelectric nanogenerators (TENGs) with exceptional advantages are imperative for the development of next-generation wearable devices. In this study, we present a waterproof, flexible, transparent and breathable TENG fabricated by a cost-effective method. The innovative triboelectric layer can fold over 180°, retaining 83% transmittance compared to air, and achieve a water contact angle of 109.3°. Notably, we enhanced the nitrocellulose/silicon resin-based TENG's (NC/Si RS-TENG) output performance by 450%. Additionally, we explored the TENG performance with shape-adjustable electrodes, revealing a 5300% attenuation ratio between the electrode area and the electrical output performance and providing an approach to enhance the wearing comfort of the device. Furthermore, we introduce a compact triboelectric sensor (TES) for human–machine interface, sport monitoring and speech recognition. These findings broaden the prospects of shape-adjustable electrode TES in various domains, underscoring their significance in both fundamental research and practical applications.
To address these challenges, we can explore two key approaches. First, from the perspective of the triboelectric layer, we favor the use of porous materials and appropriate modification techniques. Nitrocellulose (NC) films, for instance, represent a porous tribo-positive material,24 which are both soluble in ester solvents and amenable to straightforward modification. Several studies have already been conducted to establish the feasibility of NC-based triboelectric nanogenerators (NC-TENGs).25–27 However, there is a gap in the literature concerning a triboelectric layer that simultaneously achieves high transparency, breathability, and outstanding output performance. On the triboelectric device front, enhanced transparency and breathability can be achieved through the thoughtful design of suitable electrodes.28 However, the use of customized electrodes in TENG wearable devices is expensive.29 Besides, the conventional approach employed by most researchers involves using a fully solid electrode affixed to the back of the triboelectric layer, which is conducive to the maximum charge induction. A subset of researchers have explored alternative methods, such as finger-insertion electrodes or mesh electrodes in the construction of TENGs.30,31 In addition, they have observed that the device performance is not reduced, which can be attributed to the fact that charge induction occurs even in areas of the triboelectric layer that are not directly covered by the electrode.32
Nonetheless, to construct a high-output, transparent, and breathable TENG wearable device, several critical tasks remain. On one hand, the development of a cost-effective modification method for achieving high-performance triboelectric layers is of paramount importance. On the other hand, it is imperative to further elucidate the quantitative relationship between electrode properties and the performance of TENGs, seeking a balance between the electrical output performance and wearing comfort of devices.
Herein, a breathable and transparent TENG was fabricated by a low-cost method. The modified triboelectric layer possesses excellent transparency (83%, compared with air), resistance to moisture (water contact angle (WCA): 109.3°), breathability (water vapor transmittance rate: 650 g m−2 d−1) and flexibility (capable of folding over 180°). The NC/Si RS-TENG was constructed to investigate the output performance. The open-voltage and transferred charges are enhanced from 50 V, 21 nC to 225 V, 77 nC, and the mechanism of enhanced output performance is also demonstrated. Building upon the high-performance triboelectric layer, the quantitative relationship between the characteristics of electrodes and output performance is uncovered. Finally, the performance of the shape-adjustable electrode NC/Si RS-TENG in self-powered sensing, sport monitoring and speech recognition is demonstrated, the accuracy of speech recognition is 99.41% leveraging Deep Learning (DL) algorithms. These outcomes underscore the wide-ranging applicability of this technology across scientific disciplines, offering promising avenues for further research and practical implementations.
The micro/nano particles were found in the whole NC/Si RS (Fig. 1c), and those particles are adhered to inside and outside of NC/Si RS. Energy-dispersive spectroscopy (EDS) images validate that the silicon element exists in the NC/Si RS film (Fig. 2c). The surface roughness of NC/Si RS was assessed using an atomic force microscope (AFM), with results displayed in Fig. 2d. It is clear that the NC/Si RS shows enhanced roughness compared with the film without Si RS. To investigate the effect of Si RS in NC and analyze the chemical composition of NC/Si RS, the XPS analysis was performed. The full spectrum of NC/Si RS is shown in Fig. 2e(I) and S2.† Compared with the pure NC film, two new characteristic peaks of Si 2p and F 1s were generated, which is ascribed to the doped Si RS. High-resolution XPS spectrums of C 1s, N 1s, O 1s, F 1s and Si 2p on the surface of NC/Si RS (with Ri RS) were conducted (Fig. 2e(II–IV)). The spectrum of C 1s can be resolved into four characteristic peaks at 284.8 eV (C–C), 286.4 eV (C–O), 287.5 eV (C–O–C) and 288.9 (C–F), respectively.35–37 The N 1s spectrum shows the peaks at 407.65 eV (–NO3).38 The O 1s spectrum was resolved into three peaks at 533.6 eV (O–NO2), 532.5 eV (C–O–C) and 532.0 eV (SiO2).36,39 The spectrum of F 1s shows an obvious peak at 688.0 eV, which may relate to the C–F.40 In addition, the spectrum of Si 2p exhibits the peak at 103.3 eV, indicating that the SiO2 particles are distributed in NC/Si RS.39
As the most fundamental requirements for wearable devices, waterproofness and breathability are significant factors.41 The mechanism of waterproof and breathability is illustrated in Fig. 2f, water-drops are blocked due to those particles adhered on the surface of NC/Si RS. On the contrary, the tiny water molecule passes through the film smoothly; therefore, the NC/Si RS film shows breathability. Fig. 2g and Video S1† display the difference of waterproofness. The water-drops dripped on the surface of the pure NC were absorbed, while the NC/Si RS film shows good waterproofness. To investigate the influence of Si RS on the waterproofness of the NC/Si RS film, the films doped with different contents of Si RS were evaluated. The NC (0.15 μm) film shows a WCA of 0°, while the WCA of NC/Si RS film could reach 109.3° (Fig. S3†). This is attributed to the increase in micro/nano particles in NC/Si RS, leading to a change in the surface roughness and surface energy,42 which is proved by scanning electron microscopic (SEM) images (Fig. S4†) and 3D laser confocal measuring microscopic images (Fig. S5†). Besides, the micro/nano silicon particles are intrinsic hydrophobic materials,43 which increases the WCA of the NC/Si RS film further. To demonstrate the breathability of the NC/Si RS film, control experiments were conducted and the results are shown in Fig. S6.† Water vapor passed through the NC/Si RS film to a top beaker and adhered to the wall of the beaker after 1 minute, but the water vapor cannot pass the plastic wrap. To quantitatively study the breathability of the NC/Si RS film, the water vapor transmittance rate (WVTR) of the NC/Si RS film was measured based on the Fickian diffusion (the details of the calculation can be found in Note S1†). It is obvious that the WVTR of the NC/Si RS film shows a downward tendency as the environment temperature changes from 35 °C to 18 °C (Fig. 2h), which is due to the high temperature that boosts the molecular thermal motion, so that more water vapor passes through the film.44 In addition, the film without doping Si RS possesses a higher WVTR and the gap of WVTR is more obvious at 35 °C, which is attributed to some microporous channels being hindered by Si RS and is proved by SEM images shown in Fig. S7.† Besides, the WVTR of single-electrode TENG was performed and the result is shown in Fig. S8.† It should be noted that the WVTR of NC/Si RS and the corresponding single-electrode TENG is 536 g m−2 d−1 and 521 g m−2 d−1 (35 °C), respectively, which is still higher than human skin (∼200 g m−2 d−1).45 It is important to highlight that pure NC (0.15 μm) lacks transparency. The transmittance of NC/Si RS slightly decreases (from 83% to 72%) with the increase in Si RS content due to altered light diffusion by particles (Fig. 2i). This variation in transmittance is linked to changes in light refraction caused by differences in particle size and distribution within and outside the NC/Si RS film. Furthermore, the mechanical properties of NC and NC/Si RS were investigated; the tensile strength and elongation of NC/Si RS exhibits an increase of 333% and 540%, respectively (Fig. S9†). Based on the above discussion, the NC/Si RS shows good transmissivity (83% relative to air), stretchability of 45% (strain tolerance of human arm skin is about 27%6), waterproofness of 109.3° (human skin:46 83.61 ± 6.103°) and breathability of 536 g m−2 d−1 (human skin:45 ∼200 g m−2 d−1), and these quantitative values indicate that our NC/Si RS are suitable for wearable devices and show good wearing comfortableness.
To further investigate the performance of NC/Si RS-TENGs, the optimal content of 0.2 g Si RS was chosen. Based on the working principle of coupling effects of contact electrification and electrostatic induction, the mechanism of contact-separation NC/Si RS-TENG is illustrated in Fig. 3d. Initially, the system was in electrostatic equilibrium. Under the influence of external force, the top and bottom layers came into contact, leading to the generation of positive and negative charges due to the triboelectric sequence disparity between the NC/Si RS film and PDMS (Fig. 3d(I and II)). The two triboelectric materials started to separate gradually, while the external force disappeared; therefore, the electrostatic equilibrium was broken. Charges shifted from the top to the bottom layer via an external circuit, creating instantaneous current and potential difference. The potential difference peaked when the external force disappeared (Fig. 3d(III and IV)). When the force was reapplied to bring the layers closer, charges flowed in the opposite direction. Contact and separation cyclically generate periodical triboelectric signals. To better understand the process of charge transfer and confirm the working mechanism of NC/Si RS-TENGs, the simulation method was conducted using the COMSOL Multiphysics software; the results are shown in Fig. 3e.
For TENGs, triboelectric performance and work stability are significant factors. Fig. 3f shows the voltage and current of NC/Si RS-TENGs under the external load resistance that changed from 0.5 MΩ to 2 GΩ. The voltage was enhanced when the external load resistance was increased at the external circuit, while the current exhibited opposite tendency owing to the inhibitory effect caused by resistance. The instantaneous power density of NC/Si RS-TENGs is shown in Fig. 3g, which is 0.383 W m−2 at an external load of 100 MΩ. The calculated details of the power density can be found in Note S2.† To assess practical electrical performance, capacitors of 1 μF, 4.7 μF, and 10 μF were used. The 1 μF capacitor was charged to 3 V in 7 seconds, while the 10 μF capacitor took 80 seconds (Fig. 3h). The NC/Si RS-TENG demonstrated working stability through 10000 consecutive runs under constant conditions. As displayed in Fig. 3i, the Voc is almost not changed violently, and the relative standard deviation (RSD) was calculated (RSD = 1.34%), which indicates that the NC/Si RS-TENG possesses good working stability and can operate for a long time. Additionally, the experiment of periodic fold was conducted, and the electrical output performance of NC/Si RS-TENGs is not changed obviously within 8000 times strain and stretch (Fig. 3j). Table S2† exhibits the comparison between this work and the other reports, indicating that the mechanical properties and output performance of NC/Si RS-TENGs are feasible to prepare self-powered sensing device with high performance.
In general, the properties of triboelectric devices such as transparency and breathability are indeed affected by the electrode characteristics, where a smaller electrode area tends to result in lower output performance. However, we observed that the TENG with a grid electrode exhibited nearly consistent output performance compared to a solid electrode (Fig. S14†), as charges can be induced due to the electrostatic induction even if a part of area of the triboelectric layer has no electrode.32 In addition, inspired by the different electrical output performance with diverse patterns of 3D printing,52 three electrodes with different shapes are designed (Fig. S15†). As shown in Fig. 4e, the NC/Si RS-TENG equipped with the “king” electrode displays a higher performance than that of the “cross” electrode and circle electrode, as the “king” electrode induces more charges.
From the aforementioned results, it can be inferred that the electrical output performance is not solely dependent on the electrode's surface area but is also influenced by its shape. To verify this guess, the solid and hollow electrodes with different shapes but same areas, including triangle, square and circular, were taken into consideration (Fig. S16†). It is interesting that the electrical output performance of the NC/Si RS-TENG equipped with diverse electrodes shows an obvious difference, whereas the area of the electrode is the same. The electrical output performance of hollow electrode TENGs is smaller than that of the solid electrode TENGs (Fig. 4f). In addition, the results indicated that the output performance is increased with the shape of electrode approaching the circle. Those results indicate the varied distribution of charges in the triboelectric layer and the circular electrode can induce more charges exactly than others shape. To further investigate the output performance of the circular electrode, four electrodes with the same area (π cm2) but different radii were fabricated (including one solid electrode and three hollow electrodes, shown in Fig. 4g). It should be noted that the electrical output performance shows a downward tendency with the increase in radius (Fig. 4g). Besides, as the control experiment, one group of square and hollow electrodes with the same area (π cm2) were prepared to further explore the phenomenon (Fig. S17†). With the increase in the diameter of hollow electrodes, the electrical output performance exhibits the same trend with the circular electrode NC/Si RS-TENG. Smaller electrodes (1 cm2) also show the same trend (Fig. S18†). In addition, those circular electrode TENGs possess a higher electrical output performance than that of square electrode TENGs (compared with the results of Fig. 4g and S17†). Taking those experimental results into consideration, there may exist a gradient that contributes to the difference in the electrode position and electrical output performance.
As a proof of concept, five electrodes (0.5 cm × 2 cm) with the same area were prepared, and each of the electrodes was pasted on the surface of the triboelectric material with the corresponding offset distance of 5 mm. Compared with the position of the electrode with zero offset distance, the lowest electrical output performance is observed at an offset distance of 20 mm (Fig. 4h). Increasing the offset distance leads to an obvious decrease in the output performance, which is regarded as a proof of the gradient. Benefiting from the tenacious electrical output performance even though the area of electrode has decreased markedly, it is going to be possible that it exhibits the triboelectric layer properties as far as possible at the cost of electrical output performance to some extent.
To demonstrate the performance of the shape-adjustable electrode NC/Si RS-TENG (2 cm × 0.5 cm), the output performance of the NC/Si RS-TENG working in diverse external forces was investigated. The output performance of the NC/Si RS-TENG displays an upward tendency with the increase in external forces (Fig. S19†), and the linear relationship that exists in external forces is at 20 N to 50 N. Fig. S20† displays the relationship between frequencies and output performance. Voc remains stable, while Isc notably increases when frequencies range from 0.25 to 2 Hz (the calculation can be found in Note S3†). In addition, the response properties of the NC/Si RS-TENG were also investigated (shown in Fig. S21†), and the device possesses excellent response performance (response time: 31 ms, recovery time: 10 ms). Combining the good performance in external force, frequencies and response properties of the TENG shows great potential in self-powered sensing.
It is critical for a single-electrode TENG sensing device to be able to respond the external stimulation quickly and possess high discrimination for external stimulation.53 To study the sensing properties of the SNC-TES on human skin, various external forces and frequencies were applied to the SNC-TES. With the increase in touching pressure, the LED lights were lightened and the brightness was linked to the touching pressure (shown in Fig. 5c), which indicated that SNC-TES could clearly and quickly respond to the external pressure. Different touch frequencies caused the diverse hold time, which was distinguished easily (Fig. 5d). Additionally, the aptitudes and response frequencies of SNC-TES show good consistence with different pressures and touching frequencies (Fig. 5e and Video S2†).
Benefiting from the outstanding performance of SNC-TES, it was used as electric skin for sport monitoring. In this work, the SNC-TES was attached on the surface below the elbow (shown in Fig. S24†), and the polyurethane (PU) film was pasted on the SNC-TES to prevent the interference of clothes.54 The dual-mode signal was generated by SNC-TES theoretically, and the operation mechanism of dual-mode SNC-TES in human sports monitoring was demonstrated as follows. Generally, the redundant charges flow to the ground, thus the whole body is in a static equilibrium state (Fig. 5f). Upon feet contact and separation with the ground, the static equilibrium state is broken and charges are transformed from body to ground to establish a new static equilibrium.55 At the same time, the charges of SNC-TES are changed due to the electrostatic induction and the signal is generated. Besides, the arm contacts the SNC-TES when human is in motion and the external force is exerted on SNC-TES, which makes the dual-mode triboelectric signal generated. The electrical signals of walking or jogging process are shown in Fig. 5g–i and Video S3.† It should be noted that each signal (Fig. 5g, walk) possesses two peaks, including a large peak and a small peak since the signal between the foot and the ground is larger than the signal between arms and SNC-TES. The single triboelectric signal caused by the waving arm is displayed in Fig. S25.† Interestingly, the triboelectric signal generated by human motion is related to the contact intensity between human feet and ground. The different signals are generated when the experimenter's feet contact the ground unequal intensity (Fig. S26†). Fig. S27† clearly shows the falling signal after walking for 20 s, which reveals the potential applications of the portable SNC-TES in sport monitoring and healthcare.
To investigate the condition of feet off the ground, a jump test was performed by recording the triboelectric signal of portable SNC-TES (Fig. 5i). It is obvious that the signal of the jump is larger than walk or run, which is attributed to the larger contact area and flowed charges between human body and ground. Additionally, jump with different heights and frequencies was also studied (Fig. 5j and S28†). The generated signal almost shows a linear correlation with the jump height (Fig. 5j). In addition, the fast Fourier transform (FFT) of the gait waveforms was conducted to analyze the signals in the frequency domain. Compared to the walk, the frequency spectrum of run shows a higher peak frequency due to the faster-contracted speed between feet and ground (Fig. S29†). In addition, a wireless monitor device is fabricated to show the potential application of shape-adjustable electrode SNC-TES in sports monitoring (details can be found in Fig. S30 and Video S4†). According to the above-mentioned results, portable SNC-TES can be considered as a promising application for healthcare and sport monitoring.
To assess the impact of a portable SNC-TES on speech recognition, we affixed the SNC-TES onto the throat of a healthy individual to capture the vibration signals generated by the vocal cords. Triboelectric signals were generated immediately when humans pronounce some words, such as nano, energy, self-powered, wearable and device, those acquired signals possess different characteristics due to the unique vibration modes of vocal cords for each word. The generated process of signals is shown in Fig. 6a. The intensity of speech triboelectric signals is highly related to the stress of syllables. For instance, the word ‘energy: ['enədʒi]’ includes three obvious syllables of ‘['en]’, ‘[ə]’ and ‘[dʒi]’, where ‘[ə]’ is pronounced with light syllables, thus the peak of the signal shows an obvious reduction between the triboelectric signal of ‘['en]’ and ‘[dʒi]’ (presents in Fig. S31†). Those characteristics (such as intensity, frequency and amplitude) can be recorded accurately by SNC-TES (Fig. 6c–h). In recent years, ML algorithms have been developed rapidly as an emerging technology for classification and prediction. Particularly, one-dimensional convolutional neural network (1D CNN) is an effective method to extract subtle features of time-domain signals.56 Based on the high performance of SNC-TES in speech triboelectric signal acquisition, a speech recognition model was established to distinguish the words.
The model's accuracy was assessed by testing six word categories: ‘nano,’ ‘energy,’ ‘nano-energy,’ ‘self-powered,’ ‘wearable,’ and ‘device.’ Each category comprised 120 training samples. Of these, 20% were allocated for testing, another 20% for validation, and the remaining 60% for training. Initially, a dataset was created by recording the triboelectric speech signals for each pronunciation of the words. After gaining a number of speech triboelectric signals, the 1D CNN model was trained. As shown in Fig. 6b, the model mainly consisted of an input layer, two convolutional layers, two max pooling layers, two full-connected layers and an output layer (the details of the structure could be found in Table. S1†). The triboelectric speech signals served as the input layer for the model, and prior to training, these signals underwent normalization to improve model stability and mitigate overfitting issues associated with limited sample sizes. Subtle features of signals are extracted after convolution, pooling and full-connected, the identified results of different words are shown in the output layer. Fig. S32† shows the accuracy of training and testing in the learning process. The accuracy of training and testing is improved markedly with the increase in epochs, the accuracy reaches the maximum (nearly 100%) and trend to be stable after training for 50 epochs, which indicates that the established model shows an excellent advantage. Fig. 6i shows the confusion matrix for different speech triboelectric signals and the accuracy of recognition is 99.41%, enabling us to identify different words. All the above-discussed results indicate that the SNC-TES possesses good performance in acquiring speech triboelectric signals generated by vocal cord vibration of humans, promising in portable wearable recognition devices.
Footnote |
† Electronic supplementary information (ESI) available. See DOI: https://doi.org/10.1039/d3ta05954e |
This journal is © The Royal Society of Chemistry 2024 |