Open Access Article
This Open Access Article is licensed under a Creative Commons Attribution-Non Commercial 3.0 Unported Licence

Charge trapping with α-Fe2O3 nanoparticles accompanied by human hair towards an enriched triboelectric series and a sustainable circular bioeconomy

Ishita Chakraborty a, Sz-Nian Lai b, Ming-Chung Wu cde, Hsun-Yen Lin b, Chuan Li f, Jyh Ming Wu *bg and Chao-Sung Lai *ahij
aDepartment of Electronic Engineering, Chang Gung University, Taoyuan, Taiwan. E-mail: cslai@mail.cgu.edu.tw
bDepartment of Materials Science and Engineering, National Tsing Hua University, Hsinchu, Taiwan. E-mail: wujm@mx.nthu.edu.tw
cDepartment of Chemical and Materials Engineering, Chang Gung University, Taoyuan, Taiwan
dGreen Technology Research Center, Chang Gung University, Taoyuan, Taiwan
eDivision of Neonatology, Department of Pediatrics, Chang Gung Memorial Hospital, Taoyuan, Taiwan
fDepartment of Biomedical Engineering, National Yang Ming Chiao Tung University, Taipei, Taiwan
gHigh Entropy Materials Center, National Tsing Hua University, Hsinchu, Taiwan
hDepartment of Nephrology, Chang Gung Memorial Hospital, Taoyuan, Taiwan
iDepartment of Materials Engineering, Ming-Chi University of Technology, New Taipei City, Taiwan
jArtificial Intelligent Innovation Research Center, Chang Gung University, Taoyuan, Taiwan

Received 11th June 2021 , Accepted 23rd September 2021

First published on 27th September 2021


Abstract

This work reports a new approach to amending polydimethylsiloxane (PDMS) by supporting α-Fe2O3 nanoparticles (NPs), thereby generating a material suitable for use as a negative triboelectric material. Additionally, human hair exhibits a profound triboelectrification effect and is a natural regenerative substance, and it was processed into a film to be used as a positive triboelectric material. Spatial distribution of α-Fe2O3 NPs, the special surface morphologies of a negative tribological layer containing nano-clefts with controlled sizes and a valley featuring a positive tribolayer based on human hair made it possible to demonstrate facile and scalable fabrication of a triboelectric nanogenerator (TENG) presenting enhanced performance; this nanogenerator produced a mean peak-to-peak voltage of 370.8 V and a mean output power density of 247.2 μW cm−2 in the vertical contact-separation mode. This study elucidates the fundamental charge transfer mechanism governing the triboelectrification efficiency and its use in harvesting electricity for the further development of powerful TENGs suitable for integration into wearable electronics and self-charging power cells, and the work also illustrates a recycling bioeconomy featuring systematic utilization of human hair waste as a regenerative resource for nature and society.



New concepts

We pioneer the utilization of the novel properties of hematite (α-Fe2O3) nanoparticles into a triboelectric nanogenerator (TENG) by embedding them in a polydimethylsiloxane matrix to develop a negative triboelectric layer accompanied by a human hair based film as the positive triboelectric layer. Although, human hair is considered to be a highly triboelectric material, it is a great challenge to process it into a form useful for incorporating into practical triboelectric nanogenerator devices, demonstrating stable output performance. Significant research has been conducted to improve the low output of TENGs incorporating pure PDMS, but there are still several drawbacks, like the thickness of the porous PDMS film introducing difficulty to meet the requirements of small size and light weight for wearable applications and expansion of the maintenance time due to increased thickness. We have overcome these limitations by fabricating a light weight, flexible and high-performance bio-based TENG consisting of PDMS@α-Fe2O3 NP composite thin film enhancing the charge trapping of induced tribo charges through the electret doping effect resulting from the dielectric properties of the hematite nanoparticles and processed the bio-waste human hair into a convenient positive electrification layer to initiate a systematic approach towards a circular bio-economy for the sake of society and the environment.

Introduction

The burgeoning of multifunctional electronic devices is one of the important reasons to seek feasible technologies capable of harvesting energy from the surrounding environment. Nature provides abundant sources of energy such as solar, wind, water, and mechanical energy; if utilized, these sources would constitute a partial solution to the limited supply of fossil fuels and the resulting energy crisis. Since 2012, the triboelectric nanogenerator (TENG) has provided new possibilities for converting small amounts of mechanical energy into electrical energy based on the coupling of triboelectrification and electrostatic induction,1 and it has been proven to be a cost-effective,2 simple, and efficient technique for generating a high power density from the environment.3,4

In essence, contact between two electrification layers generates triboelectric charges with opposite polarities on the two surfaces, and these induced triboelectric charges flow back and forth through an external circuit during repeated contact and release movements.5 The main factors influencing TENG performance include the surface morphology, dielectric constant and triboelectric potential difference between the two triboelectric layers.6,7 In conventional TENGs, the two electrification layer materials are chosen to have a large difference in surface potential, e.g., with a polymer material (i.e., Teflon)8 terminated with the most electronegative functional group functioning as the negative side and a low work function material (i.e., Al metal)9 serving as the positive side. Polydimethylsiloxane (PDMS) is the second most negative material in the triboelectric series, after poly-(tetrafluoroethylene) (PTFE), but PDMS is in higher demand as a negative triboelectric material because of its flexibility, transparency, ability to mix with numerous nanostructured materials to form various composite films, ability to coat other surfaces and, very importantly, hydrophobic surface, which makes the electrical output of the TENGs less sensitive to the moisture in the air.10 While many promising materials are available as the negative electrification layer in the triboelectric series, only a few materials are recognized as the positive electrification layer that can be incorporated into practical devices, so further expansion of this series is required.8,11

The use of TENGs as promising energy harvesters in practical applications necessitates the reasonable design of triboelectric materials that induce a high surface charge density by offering a very high physical contact area between the triboelectric layers, while also maintaining a simple fabrication procedure. Despite the substantial advantages of PDMS, the very small output current and low output voltage of TENGs incorporating pure PDMS limit their practical application for electronic devices. Many studies have illustrated significant improvement in the output performance of TENGs by using different strategies to control the surface morphology or effect interior structural modification of PDMS films; these strategies include surface patterning,12 addition of chemical functional groups by using block copolymers,13 treatment of PDMS with fluorocarbons,14 or plasma etching,14 all of which typically involve high cost. Consequently, the need to find a simple and cost-effective approach to preparing high-performance TENGs has been widely accepted. Recently, impressively high outputs have been generated from PDMS-based TENGs by forming porous sponge structures or adding nanostructured materials15,16 to take advantage of the large surface area-to-volume ratios and high dielectric constants. Although these two methods offer considerable improvement in the outputs of TENGs, there are still several shortcomings; for example, the thickness of the porous PDMS film makes it difficult to meet the requirements of small size and light weight for a wearable device, and an increase in thickness would expand the cleaning time, which would deteriorate the characteristics of PDMS. Human skin and hair exhibit very high positive tribo-polarity, and various publications have reported TENGs based on human skin.11,17 However, because of the difficulty of processing hair into a convenient and consistent form for inclusion in practical devices, there is only one study demonstrating the use of human hair to fabricate TENGs;18 this TENG suffered from a lack of output stability, although it exhibited appreciably high output. Therefore, a low cost method providing appreciably high power density, simple processing, light weight, and limited environmental impact is urgently needed.

A significant amount of research has been focused on different metal oxides because of their extremely high specific capacitance values, but the limitations of most of these metal oxides arise from their toxicity, cost and limited availability. Among all semiconductor nanomaterials, hematite (α-Fe2O3), an n-type semiconductor (Eg = 2.1 eV), is the most thermodynamically stable iron oxide, and its low cost, ready availability, environmental friendliness and corrosion resistance make it a promising candidate for applications involving rechargeable electrodes, batteries,19 supercapacitors,20 gas sensors,21 photocatalysts,22 magnetic resonance imaging systems,23etc. In this study, we describe the first discovery of a high output TENG, which was designed by using the novel properties of hematite (α-Fe2O3) nanoparticles embedded in a PDMS matrix in the negative triboelectrification layer. We report a simple, efficient and rapid approach to fabricating high-performance TENGs by using a composite poly-(dimethylsiloxane) (PDMS) film with embedded α-Fe2O3 nanoparticles (NPs) as the negative triboelectrification layer and human hair as a positive triboelectrification layer. The effect of α-Fe2O3 NP incorporation into the PDMS matrix and the use of a human hair-based positive electrification layer on the performance of the TENG were also investigated with a comparative study. The α-Fe2O3 NPs embedded in PDMS films acted as charge-trapping sites capable of increasing the relative dielectric property of the films and resulted in TENG output considerably higher than that of a pure PDMS film. The use of human hair permits the fabrication of cost-effective TENGs and alleviates a challenge to waste management systems, since human hair is a rapidly growing natural resource but a slowly degrading waste material without a closed-loop system for recovery and regeneration, which makes it environmentally harmful yet also valuable. Therefore, there is a huge opportunity to utilize hair waste found in municipal waste streams around the world and turn it into something beneficial for both the economy and the environment. As presented in Fig. 1, by using this novel combination of a PDMS@α-Fe2O3 NP composite as the negative electrification layer and a human hair-based positive electrification layer, a high-performing TENG has been developed as a promising green energy source for the recycling economy, thereby eliminating waste and promoting a closed-loop system that minimizes the use of resource inputs.


image file: d1mh00919b-f1.tif
Fig. 1 Human hair as a recycled material: adding value to the circular bioeconomy with waste protein fibers through effective TENG-based mechanical-to-electrical signal conversion technology.

Results and discussion

Fig. 2a shows FE-SEM images of the as-synthesized PDMS@α-Fe2O3 NP composite with 0.06 wt% α-Fe2O3 NPs. As shown in Fig. S2a (ESI), the as-synthesized α-Fe2O3 NPs exhibited a nanorod-like morphology with 50 nm widths and 150–200 nm lengths. The pure PDMS film (Fig. S2b, ESI) showed a flat surface morphology without considerable surface modifications, but all composite samples (Fig. 2a and Fig. S2c–e, ESI) showed a rough and dry arable land-like morphology, which was due to the presence of irregular nano-clefts resulting from increased surface tension caused by evaporation of DI water from the PDMS@α-Fe2O3 NP composite film during drying. With increasing NP content in the composite, the DI water content also increased, so evaporation caused the dimensions of the nano-clefts to increase from 1–2 nm to 30–50 nm. In comparing PF1 (Fig. S2c, ESI) to PF2 (Fig. 2a), the change in film morphology with an increase in the nanosized clefts may have a positive influence on the TENG performance; with a further increase in NPs, however, the nano-cleft began causing detachment within the electrification layer, which caused degradation of the composite film. As shown in Fig. S2c (ESI) for PF1, although there were less α-Fe2O3 NPs in the PDMS matrix, they were agglomerated, which may be due to an insufficient amount of solvent in relation to the amount of PDMS used. Additionally, α-Fe2O3 NPs were nearly covered by the PDMS film, which altered their influence on TENG performance. In the case of PF2 (Fig. 2a), α-Fe2O3 NPs were almost uniformly distributed in the PDMS matrix without agglomeration, and they were suitably embedded, which improved the mechanical strength of the film.9 Thus, despite the presence of nano clefts, the film does not suffer considerable detachment and shows noticeably enhanced TENG performance.
image file: d1mh00919b-f2.tif
Fig. 2 (a) FESEM view of the PF2 film and (b) FTIR spectra of α-Fe2O3 NPs, PDMS, and PDMS@α-Fe2O3 NP composites; AFM images (three-dimensional) of the (c) PDMS film and (d) PF2 film; KPFM images of (e) PDMS film and (f) PF2 film. XRD plots of (g) α-Fe2O3 nanoparticles and (h) PDMS@α-Fe2O3 NP composites.

In the case of PF3 and PF4 (Fig. S2d and e, ESI), agglomeration of the α-Fe2O3 NPs led to detachment caused by the increased dimensionality of the nano-clefts, degradation in mechanical strength within the composite film and the loss of surface features; all of these factors led to the deterioration of TENG performance. The probability of aggregation by the α-Fe2O3 NPs increased as the NP content increased because we have not used surfactant to disperse the NPs in the PDMS solutions. Obviously, the effective friction area of PDMS (high negative electricity) decreased with increasing amounts of α-Fe2O3 NPs because the nanoparticles began to appear on the surface at higher filling levels. As shown by the energy-dispersive X-ray spectroscopy (EDS) spectra for PDMS, α-Fe2O3 NPs and PF2 (Fig. S3, ESI), Fe, O, C, and Si are present at levels of 5.56, 31.92, 49, and 13.52%, respectively (Table 1), due to the successful incorporation of α-Fe2O3 NPs into the PDMS matrix.

Table 1 EDS analysis of the PDMS films, α-Fe2O3 NPs and PDMS@α-Fe2O3 NP composite with 0.06 wt% α-Fe2O3 NPs
Elements Samples
PDMS α-Fe2O3 NPs PDMS@α-Fe2O3 NP
C K Weight% 45.15 0 48.56
Atomic% 44.21 0 49
O K Weight% 38.22 65.14 30.89
Atomic% 38.56 64.03 31.92
Si K Weight% 16.63 0 14.25
Atomic% 17.23 0 13.52
Fe L Weight% 0 34.86 6.30
Atomic% 0 35.97 5.56


XRD was used to investigate the crystal structures of the as-prepared samples. Fig. 2h shows a plot of the diffraction patterns for PDMS and the PDMS@α-Fe2O3 NP composites to allow comparison of the peaks. The XRD pattern (Fig. 2g) of the as-grown α-Fe2O3 NPs was consistent with those in previous reports,19,20 and the crystallinity in the nanocomposite film was maintained without introducing any change in the PDMS standard XRD profile. The amorphous halo at 2θ = 12° was typical of the XRD pattern of PDMS, indicating that the addition of α-Fe2O3 NPs did not increase the crystalline domain of the films. The XRD patterns of α-Fe2O3 were well matched with the standard diffraction peaks (JCPDS card no. 33-0664), and the absence of additional peaks confirmed the formation of the pure hematite phase. As the α-Fe2O3 NP content increased, diffraction peaks for α-Fe2O3 gradually developed, indicating an increase in the amount of incorporated α-Fe2O3 NPs. The XRD patterns also confirmed the introduction of pure α-Fe2O3 into the PDMS matrix with almost no change in chemical composition.

FTIR provides an approach to identifying compounds or the purity of materials, and infrared radiation in the range 4000 to 400 cm−1 is used to irradiate the sample. The FTIR spectra of the pristine PDMS film, pure α-Fe2O3 NP and PDMS@α-Fe2O3 NP composites are shown in Fig. 2b. The typical peak at approximately 2965 cm−1 represented the C–H methyl stretch, and the silicon–methyl bond was responsible for the band at 1260 cm−1. In addition, the broad absorption band between 1130 and 1000 cm−1 for the polymer backbone was identified.24 The amount of unreacted vinyl and hydrosilane (SiH) groups (after cross-linking) can be determined by the intensity of the absorption bands at 1410 cm−1 and 2140 cm−1, respectively.24 In our present study, the intensity of the absorption band at 1410 cm−1 was low, and no absorption band was observed at 2140 cm−1, indicating the presence of very few unreacted vinyl groups and no excess hydrosilane (SiH) groups.24 The characteristic peaks at approximately 540 cm−1 and 432 cm−1 corresponded to bonds in α-Fe2O3,25 which are absent in the pure PDMS sample but become more intense due to the insertion of an increasing amount of α-Fe2O3 NPs into the PDMS matrix in forming PDMS@α-Fe2O3 NP composites.

To investigate the effect of inserting α-Fe2O3 NPs into the PDMS matrix, the average roughness and the surface potentials of the PDMS and PDMS@α-Fe2O3 NP composite films were characterized using atomic force microscopy (AFM) and Kelvin probe force microscopy (KPFM). From the AFM images (Fig. 2c and d and Fig. S5b–d, ESI) and Table S1 (ESI), the root mean square (rms) roughness of the PDMS@α-Fe2O3 NP composite film surface was found to increase with an increase in NP content, featuring the formation of nano-clefts. These clefts were caused by stress relaxation due to curing and subsequent cooling of spin-coated PDMS films.26 Furthermore, the increase in the amount of DI water in solutions of NPs, along with the longer curing time, caused an increase in the number of surface nano-clefts; this resulted in high surface roughness that effectively increased the surface area. Interestingly, the addition of very small amounts of α-Fe2O3 NPs into the PDMS matrix shifted the relative surface charge potential toward lower values compared with those obtained from pristine PDMS, as depicted by the KPFM images (Fig. 2e and f and Fig. S6, ESI). This significant drop in the surface charge potential of the PDMS@α-Fe2O3 NP composite film was expected to increase the difference in triboelectric potentials for the top and bottom electrification layers; the film should exhibit much stronger ability to accept electrons when in contact with the same positive triboelectric layer, which would thereby enhance TENG performance.27 The insertion of α-Fe2O3 NPs in amounts exceeding 0.06 wt% increased the surface potential and reduced the triboelectric potential difference with the human hair-based film; this was ascribable to α-Fe2O3 NP agglomeration and detachment within the negative electrification layer, which caused degradation of the composite film and affected the outputs of the TENGs.28

Morphological and chemical investigation of the human hair film was carried out by FE-SEM and energy-dispersive X-ray spectroscopy (EDS). The surface morphology of the film is shown in Fig. 3a, and it exhibits a surface valley feature with complete coverage over the Al electrode; the surface roughness was enhanced (ESI, Fig. S5a and Fig. 3b), even without any vestige of undissolved hair, thus improving its performance as a positive electrification layer.


image file: d1mh00919b-f3.tif
Fig. 3 (a) FESEM view of the human hair-based film. (b) AFM image (three-dimensional) of the human hair-based film. (c) FTIR spectra of the human hair-based film with an expanded spectrum view of a certain region (1300–1500 cm−1) in the inset. COMSOL simulation results of the TENGs comprising the human hair based film and (d) PF0, (e) PF2, and (f) PF4 film.

Fig. S4 (ESI) and Table 2 show the EDS spectra and the weight and atomic percentages of each element in the as-prepared human hair film. Usually, the main chemical elements present in hair are carbon (45%), oxygen (28%), nitrogen (15%), hydrogen (6.7%), sulfur (5.3%) and trace various elements, including Ca, Mg, Sr, B, Al, Si, Na, K, Zn, Cu, Mn, Fe, Ag, Au, Hg, As, Pb, Sd, Ti, W, Mo, I, P, and Se. All chemical concentrations we determined for the human hair-based electrification layer were comparable to the usual amounts found in human hair.29 We obtained similar EDS analysis results from the dark and bright shaded regions in the FE-SEM images (Fig. 3a and Fig. S2f, ESI), which confirms that the valley surface featured a film with complete coverage over the Al electrode.

Table 2 EDS analysis results of the human hair-based film
Region C K N K O K Na K Al K S K Ca K
Dark shaded Weight% 44.87 14.15 26.39 3.72 3.30 6.89 0.68
Atomic% 46.23 15.80 26.25 2.57 2.94 5.44 0.77
Light shaded Weight% 45.99 14.57 26.59 4.35 2.68 5.24 0.58
Atomic% 48.03 15.73 25.91 3.33 2.09 4.13 0.78


To analyze the FTIR data (Fig. 3c) for the human hair-based film from high to low wavenumbers, a broad peak appeared at approximately 3080–3557 cm−1, which may be due to asymmetric and symmetric H–O–H stretching, amide A (N–H stretch in resonance with amide II overtone) and amide B bands.30 The peak at approximately 2965 cm−1 resulted from the asymmetric stretching mode of CH3.18,30 The peak at approximately 1600–1700 represented Amide I bands, mainly the bands of the β region of the pleated structure conformation of proteins, and the C[double bond, length as m-dash]C stretching mode;31 the peak at 1645 cm−1 arose from H–O–H bending,30 so the very sharp peak at 1637 cm−1 most likely originated from overlapping N–H bending and C[double bond, length as m-dash]C stretching modes of vibration resulting from the preparation of carboxylic acid by hydrolysis of amides with warm ethanolic sodium hydroxide. Very small peaks appeared at 1573 cm−1 and 1398 cm−1 and may be due to the symmetric and antisymmetric stretching modes, respectively, of –COO–, which arose from the ionization of carboxylic acid groups in the ethanolic NaOH medium.18 Another small peak at approximately 1434 cm−1 originated from the scissoring vibration of the CH2 group.18 The intense peak at 1331 cm−1 indicated formation of a S[double bond, length as m-dash]O group due to the oxidation of cysteine disulfide cross-links present in natural hair fibers.18 The peak at approximately 1269 cm−1 represented the in-plane N–H bending mode of amide II, while ester C–O asymmetric stretching was indicated by the very sharp peak at 1167 cm−1.30 The sharp feature at 1031 cm−1 was possibly due to the presence of the C–O amide-I band.31 The peak at 875 cm−1 represented the deformation of the hydrocarbons in the keratin proteins, and the peak at 670 cm−1 was assigned to the C–OH out-of-plane bending mode.18 Thus, FTIR analysis suggests deformations in the chemical structure of natural hair samples after treatment in a strong base medium at a certain temperature.

To theoretically understand the output performance alteration of the α-Fe2O3 NP-embedded TENG, a COMSOL simulation was conducted. Fig. 3d–f demonstrates the corresponding results for the triboelectric potential distributions of TENGs based on PF0, PF2 and PF4 film. As a result, the COMSOL simulations showed that the TENG with the α-Fe2O3 NPs embedded in PDMS films has a significantly higher triboelectric potential distribution than the TENG without α-Fe2O3 NPs.

TENGs held in a vertical contact-separation mode were fabricated to investigate the charge generated by the PDMS@α-Fe2O3 NP composite film (as the negative electrification layer) and human hair (as the positive electrification layer). Fig. 4a–f presents the effect of the α-Fe2O3 NP content on the output performance of the PDMS@α-Fe2O3 NP composite by showing the voltage, current and charge density outputs of TENGs consisting of a human hair-based film and PDMS@α-Fe2O3 NP composite film. As the pure PDMS film and human hair-based film surfaces approach and contact each other, electric charge transfers from the human hair-based film to the PDMS film surface because PDMS has a more negative polarity than human hair in the triboelectric series.10,18,32 As they are separated, the electrons flow back through the outer circuit to maintain charge neutrality. In this way, upward and downward peaks are generated as the two surfaces repeat the approach/separation cycles. All devices show similar performance, even after incorporating α-Fe2O3 NPs, showing a similar order for polarity of the electrification layers in the devices.


image file: d1mh00919b-f4.tif
Fig. 4 (a) Voltages and (b) current outputs of TENGs comprising the PDMS@α-Fe2O3 NP film (as the negative electrification layer) and human hair-based film (as the positive electrification layer) as a function of α-Fe2O3 NP content; mean values of peak-to-peak (c) charge density, (d) voltage and (e) current outputs with standard deviations and (f) corresponding output power densities of TENGs with varying α-Fe2O3 NP content; (g) voltage and (h) current outputs of the PF2 TENG comprising the PDMS@α-Fe2O3 NP film (as the negative electrification layer) and human hair-based film (as the positive electrification layer) with variation in the PF2 film thickness.

Although pure α-Fe2O3 NPs showed relatively low levels of triboelectric output (Fig. S8, ESI), with increase in α-Fe2O3 NP content in the PDMS layer, the voltage and current initially increased considerably and then decreased, as shown in Fig. 4a and b. As the NP content was increased up to 0.06 wt%, the mean peak-to-peak output voltage increased from 22.5 to 370.8 V and then decreased to 38.2 V as the NP content was increased further to 0.09 wt%. As shown in Fig. 4b and c the output current and charge density also varied in a similar way with maxima of 6 μA and 13.41 nC cm−2 respectively. The enhanced triboelectric output of the PDMS@α-Fe2O3 NP composite with a small amount of α-Fe2O3 NPs could be due to the enhancement in triboelectric charge density arising from efficient capture of the surface triboelectric electrons of the frictional layer and the doping effect resulting from the dielectric properties of α-Fe2O3.9,20,33 However, a further increase in the α-Fe2O3 NP content resulted in aggregation of the NPs on the PDMS@α-Fe2O3 NP composite film surfaces, as shown in Fig. S2d and e (ESI), which reduced the effective contact between the PDMS (higher electronegativity) and the human hair films; filler began to appear on the surface at higher filling contents, which ultimately resulted in degradation of the TENG performance. From PF0 (Fig. S2b, ESI) to PF2 (Fig. 2a), the change in the film morphology with the appearance of nano-clefts exhibiting controlled dimensions could be another possible reason for the improvement in the TENG performance, which may have resulted from enhancement in the effective contact area between friction layers along with the improvement in surface roughness (Fig. 2c and d). With further increases in NP content, the nano-cleft began causing detachment within the friction layer, which caused degradation of the composite film properties. Therefore, the performance of the TENG was affected by both the favorable and unfavorable aspects of α-Fe2O3 NP incorporation, that confirms the pattern of variation depicted in COMSOL simulation results. It is mandatory to introduce an optimized amount of α-Fe2O3 NPs to obtain beneficial effects of NPs on the performance of the TENG device.

Variations in the mean peak-to-peak output voltage and current arising from the incorporation of α-Fe2O3 NPs (along with standard deviations), are demonstrated in Fig. 4d and e, and they indicate the appreciable stability of the as-developed TENG devices. Additionally, the corresponding output power densities of the PDMS@α-Fe2O3 NP composite and human hair- based TENG with different α-Fe2O3 NP loads (Fig. 4f) were calculated. The mean output power density approached a peak value of 247.2 μW cm−2, which is comparable with those of other works and better than many of those reported from existing research on PDMS-based TENGs.12,27,34–37

Although PDMS is the second most negative triboelectric material (after PTFE)10 in the triboelectric series, PDMS and PDMS@α-Fe2O3 NP composite films showed output voltages and currents higher than those seen with the use of PTFE film as a negative triboelectric layer (Fig. S9, ESI). This may be due to the special surface morphologies of these films and the enhanced charge trapping resulting from the introduction of high dielectric α-Fe2O3 NPs into the PDMS matrix, which helps to improve charge transfer compared to that seen with PTFE film during the triboelectrification process.

To further optimize the performance of the TENG, the effect of film thickness on TENG performance was investigated. Additionally, the charge (Q) transferred between the electrodes is dependent on the relative dielectric constant (εr), surface area (S), and thickness of the dielectric film (d), as described by eqn (6). Since the transferred charge Q depends inversely on the thickness of the triboelectric film, a thinner film is expected to result in higher performance. In the present case (Fig. 4g and h), consistent with the theoretical expectation, the optimum thickness of the PDMS@α-Fe2O3 NP composite film that produced the highest output performance was determined to be 42 μm. Thicknesses lower than 42 μm led to nonuniformity in composite formation and inappropriate morphologies of the PDMS@α-Fe2O3 NP composite layers residing on the Al electrode contact; the unique charge trapping mechanism of the PDMS@α-Fe2O3 NP composite film was interrupted, resulting in a lower output.

To scrutinize the performance of a human hair-based positive electrification layer in the TENG device, aluminum and hair-based films of comparable thickness were tapped to PF2, keeping all other conditions unaltered, and the polarities of the corresponding signals were studied. After tapping a material with a given friction layer, the polarity of a material determines whether it gains or loses electrons upon contact with the given friction layer; thus, we can clarify if one material has a higher affinity for acquiring negative tribo-charges relative to another. Fig. S10 (ESI) illustrates the voltages and currents of the respective materials during 22 cycles of contact and separation. Notably, the human hair-based positive electrification layer showed much higher output voltage and current as a positive electrification layer, in comparison with aluminum film under the same conditions, which may be because the human hair-based material lost more electrons than Al during the triboelectrification process involving the lipid layer on its surface.38 The valley surface features on the human hair-based film increased the surface roughness in comparison with that of an aluminum film (ESI, Fig. S5a and Fig. 3b) and, since surface roughness of a triboelectric film is known to improve triboelectrification, this may have enhanced TENG performance. As depicted in Fig. S11 (ESI), the treated hair-based film layer showed tribo-polarity similar to that of untreated human hair, even though the FTIR analysis affirms the chemical deformation of the treated hair film; there was also evidence for instability in the output voltage and current, which is due to the nonuniformity of the natural hair as a positive triboelectric layer. Thus, this film is expected to harvest natural human hair movement efficiently as a result of involuntary friction, thereby meeting users’ different operation requirements if the negative part of the as-developed TENG were attached to the inner side of hair accessories such as a headband, hair clips, hair cap and normal head cap (Fig. 1).

The charge trapping properties of the α-Fe2O3 NPs embedded in PDMS were investigated by measuring the capacitance of the PDMS@α-Fe2O3 NP composite films as a function of α-Fe2O3 NP content and frequency (Fig. 5a). To evaluate the dielectric influence on the output of the TENG device under consideration, detailed studies of the dielectric constant in the frequency range 103 to 105 Hz were executed (Fig. 5b). There was a slight decrease in the dielectric constant with increasing frequency, which is due to the reduction of the space-charge polarization effect.39 It is notable that the capacitance and dielectric constant of the PDMS@α-Fe2O3 NP composite increased significantly with increasing α-Fe2O3 NP amount, as shown in Fig. 5a and b and the enhancement of the dielectric constant was mainly due to the interaction between electrons in the α-Fe2O3 particles and the polymer matrix.40 This result indicated that charge trapping at the PDMS@α-Fe2O3 NP triboelectric layer was enhanced by the insertion of α-Fe2O3 NPs.28,32,41 The addition of α-Fe2O3 NPs, particularly in amounts exceeding 0.077 wt%, might induce the formation of a more efficient network for charge transport in the base PDMS matrix by agglomerating nanoparticles in the film-like regions; this would improve the contact between the dielectric and metal interface of the capacitor under consideration, thus resulting in considerable enhancement of the dielectric properties of the composite film.15,28,42–44 This improved charge trapping,41,45,46 and the lower surface charge potential (confirmed by the KPFM results) increased the output voltage/current of the TENG.28,32,33


image file: d1mh00919b-f5.tif
Fig. 5 (a) Capacitance and (b) dielectric constant of the PDMS@α-Fe2O3 NP composite films prepared with various α-Fe2O3 NP concentrations as a function of frequency. (c) Leakage current measured across the PDMS@α-Fe2O3 NP composite films prepared with various α-Fe2O3 NP concentrations as a function of the applied voltage. (d) Schematic of the triboelectric charge transfer process in the PDMS friction layer of the TENG. (e) Schematic of the transfer of triboelectric charges in the PDMS@α-Fe2O3 NP composite friction layer of the TENG. (f) Dielectric constants of PDMS@α-Fe2O3 NP composite films at 1 kHz frequency with different α-Fe2O3 NP contents.

Previous studies showed that increasing amounts of embedded NPs with high dielectric constants improved TENG output because of the increasing dielectric constant of the tribo-material.15,27,28,32 Our results show the same trends, as indicated by eqn (6). The increases in both capacitance and dielectric constant for PF1 compared to those of PF0 were very small, as shown in the inset of Fig. 5a and b due to the very low ratio of α-Fe2O3 NPs to PDMS in this composite. However, the output performance of the TENG began to degrade when the amount of α-Fe2O3 NPs was further increased from 0.06 wt%. The addition of more α-Fe2O3 NPs beyond 0.06 wt%, however, significantly increased the leakage current through the nanoparticle agglomeration, as shown in Fig. 5c. The nanoparticle agglomerates in the film-like regions of both the 0.077 and 0.09 wt% samples induced the local induction charges on the nanoparticle surfaces to flow along the film thickness direction, which may be a reasonable cause to reduce TENG performance above 0.06 wt% embedding α-Fe2O3 NPs.47 Therefore, in brief, triboelectrification and dielectric constant work together to affect the performance of the TENG, and the prime composite (PF2) illustrates the competitive balance of these influences and the effect on the output properties of the TENG.

By considering the triboelectric charge density, the charge transferred between the electrodes, the relative dielectric constants of human hair-based and PDMS@α-Fe2O3 NPs composite films, the distance between two induced-charge surfaces, the thicknesses of human hair-based and PDMS@α-Fe2O3 NPs composite films, and the area of dielectric layer as σT, Q, εrH, εrPF, x, dH, dPF and S, respectively, the V–Q–x relationship of a contact-mode TENG can be derived from electrodynamics.8,48 Since the area (S) of the metals is several orders of magnitude larger than their separation distance ((dH + dPF + x)) in this case, it is rational to assume that the two electrodes are infinitely large. From the Gauss theorem, the electric field strength in each region is given by

Inside the human hair based film:

 
image file: d1mh00919b-t1.tif(1)

image file: d1mh00919b-t6.tif Inside the air gap:

 
image file: d1mh00919b-t2.tif(2)

Inside the PDMS@α-Fe2O3 NPs composite film:

 
image file: d1mh00919b-t3.tif(3)

Therefore, the voltage between the two electrodes is,

 
V = EHdH + EPFdPF + Eairx(4)

Substituting eqn (1)–(3) into eqn (4),

 
image file: d1mh00919b-t4.tif(5)

Therefore, Q can be obtained from the completely released stage of the TENG devices;

 
image file: d1mh00919b-t5.tif(6)

Eqn (6) shows that the transferred charge Q increases with increasing triboelectric charge density σT on the dielectric surface and relative dielectric constant εrPF.

The triboelectrification mechanism can be divided into three subprocesses: generation of triboelectric charges, storage of triboelectric charges, and electrostatic induction of charges.49 As shown in Fig. S12 (ESI), the two film surfaces are initially not in contact, no charge transfer occurs, and hence no electric potential exists. Then, with physical contact, the PDMS@α-Fe2O3 NP composite film, with electron affinity higher than that of human hair, captures electrons from the human hair-based film (positive friction layer) during the triboelectrification process. Upon releasing the two substrates, the charge accumulation on the contact surfaces induces opposite charges on the rear electrodes (aluminum electrode) of both electrification layers. Thus, a potential difference is induced as a consequence of contact electrification, driving electrons via an external circuit from the positive electrification layer to the negative electrification layer, thus causing a negative current to flow through the external circuit. In this stage (Fig. 5d), for triboelectrification between pure PDMS film (negative friction layer) and human hair-based film (positive friction layer), a built-in electric field will be set up between the contact surface and bottom Al electrode, and this electric field is directed vertically upward. Therefore, two-electron transfer modes are generated: the first is the drift process caused by the electric field, and the other is the diffusion process caused by the concentration gradient of electrons, both resulting in the loss of triboelectric electrons due to recombination with positive charges induced on the Al electrode. This phenomenon results in the deterioration of typical TENG devices. To cope with this situation, we introduced α-Fe2O3 NPs embedded into the PDMS matrix to form a TENG with a PDMS@α-Fe2O3 NP composite film (as the negative electrification layer) and human hair-based film (as the positive electrification layer) (Fig. 5e). By taking advantage of the high theoretical capacity of the α-Fe2O3 nanomaterials,50,51 an optimized amount of α-Fe2O3 NPs can suppress the recombination between electrons and positive charges by efficiently trapping the surface triboelectric electrons of the frictional layer; the electret doping effect resulting from the dielectric properties of the α-Fe2O3 NPs was reflected by the improvement in the capacitance and dielectric constant of the PDMS@α-Fe2O3 NP composite with an increase in the NP content (Fig. 5a, b and f). Therefore, a higher triboelectric charge density52 and greater transferred charge Q are achieved with the TENG. In addition, human hair retaining very high positive tribopolarity will efficiently supply triboelectric electrons into the PDMS@α-Fe2O3 NP film, consequently strengthening the TENG performance of the device. Then, after the two films are completely released (Fig. S12d, ESI), the output signal drops to zero. With further pressing, an instantaneous positive output signal appears due to electron flow until the induced charges become neutralized.

In order to clarify the influence of untreated hair waste on the performance of the TENGs, output voltage and current as a function of time were measured for TENGs based on the PDMS@α-Fe2O3 NP composite films attached to a hairband, tapped to untreated hair waste, keeping all other conditions unaltered, as shown in Fig. 6a–c. The resulting signals showed output voltage and current similar to that of the human hair based film, except the evidence for little instability in the output signals, which is due to the non-uniform stacking of the natural hair as a positive triboelectric layer. Since the TENG is based on the coupling of the triboelectric effect and electrostatic induction, its performance is closely related to the surface adsorption layers. As shown in Fig. 6d and e the performance of our TENG exhibited some degradation when PF2 film and wet hair were tapped due to the dissipation of the built-up charges owing to the formation of a water layer on the surface of the tribolayers and the significant contribution of the water layer to the mobility of the surface charges on the hair. In spite of this reduction, our TENG still exhibited appreciably high output. To evaluate the practical applications of our TENG, a circuit consisting of a bridge rectifier and commercial capacitors was used to regulate and store the output power of the TENG. Fig. 6f shows the charging curves using a 3.3 μF capacitor, 33 μF capacitor, 47 μF capacitor and 100 μF capacitor, respectively. It can be seen that the 3.3 μF capacitor can be charged to 2 V within 60 s, while the 33 μF capacitor can be charged to 2 V within 7 minutes, the 47 μF capacitor can be charged to 2 V within 9 minutes and the 100 μF capacitor can be charged to 2 V within 19 minutes. The mechanical stability and durability of the TENG based on our optimized PDMS@α-Fe2O3 NP composite film and human hair based film were measured after repeated operations over 30 minutes (Fig. 6g and h). The output voltage and current had no statistically relevant variations which indicates its outstanding reliability.


image file: d1mh00919b-f6.tif
Fig. 6 (a) Voltages and (b) current outputs of TENGs comprising PDMS@α-Fe2O3 NP film (attached to a hairband) and natural human hair waste, as a function of α-Fe2O3 NP content; with the (c) photographic image of the measurement arrangement. (d) Voltage and (e) current output for dry and wet conditions of the natural human hair. (f) The charged curves using 3.3 μF, 33 μF, 47 μF and 100 μF capacitors. The output (g) voltage and (h) current stability test of the TENG comprising the PF2 film and human hair-based film at room temperature for 30 minutes.

To understand the significance of this work, we have compared in Table 3 the results of this work with those of previously published studies on PDMS-based TENGs, most of which worked in a vertical contact-separation mode.12,27,34–37 It is evident that the TENG based on the novel tribo-material combination developed in this work compares well with previous TENGs and performs better than many of them; the current TENG showed very good output resulting from the new approach to modifying PDMS with the controlled insertion of α-Fe2O3 NPs. This is a convenient and cost-effective method and the use of human hair as a positive tribo-material offers a solid basis for biowaste management, with which novel technologies can be coupled.

Table 3 Comparison of the output performance of the TENG prepared in this work with those of similar tribo-materials reported by other researchers
Positive Tribo- material Negative Tribo- material Peak-to-peak voltage (V) Output power density (μW cm−2) Ref.
PET Pyramid patterned arrays of PDMS 18 2.34 12
ZnO NRAs PDMS 5.34 0.24 34
Aluminum TiO2−x NPs embedded PDMS 180 163 35
Aluminum Surface-embossed PDMS achieved via control of ZnO nanoflakes (NF) 130 188.5 36
Cu Micro-frustum-array-structured PDMS film and (P(VDF-TrFE)) nanofibers 23 2.66 37
PET PDMS-FDTS 125 73 27
Human hair PDMS@α-Fe2O3 NP composite 370.8 247.2 This work


Conclusions

In summary, we have demonstrated facile cost-effective chemical methods for synthesizing α-Fe2O3 nanoparticles and embedding them in a PDMS matrix to produce a PDMS@α-Fe2O3 NP composite serving as a superior negative electrification layer; this was accompanied by processing hair into a suitable form with appreciable uniformity for use as a positive electrification layer in a TENG. Structural, morphological, and compositional analyses using XRD, FESEM, AFM, EDS, and FTIR spectroscopy confirmed the successful syntheses of the above samples. As the α-Fe2O3 NP content in the negative electrification layer was increased up to 0.06 wt%, the output voltage increased from 22.5 to 370.8 V, and then it decreased to 38.2 V as the NP content increased further up to 0.09 wt%. The α-Fe2O3 NPs improved the TENG performance by combining the effects of a successfully developed special film morphology exhibiting nano-clefts of controlled dimensions with the electret doping effect observed with small amounts of incorporation; however, the NPs detrimentally affected the TENG performance at high incorporation levels because they aggregated and caused detachment within the electrification layer. In addition, by taking advantage of the intense triboelectrification effect of human hair, the hair was processed to develop a superior positive electrification layer for TENGs and avert environmental problems caused by slowly degrading human hair waste material. Therefore, the PDMS@α-Fe2O3 NP composite and human hair-based TENG provide a promising high-level power supply for wearable electronics and self-powered smart portable electronics; the TENG harvests mechanical energy while expanding human hair utilization, constituting a promising approach toward the recycling bioeconomy that will play an important role in avoiding climate emergencies.

Experimental section

Materials

PDMS (SYLGARD 184, DOW CORNING, USA) was purchased for fabricating elastomeric nanocomposites. Iron(III) chloride hexahydrate (98.0–102%) (Sigma Aldrich) and ammonium hydroxide solution (∼25% NH3 basis) (Honeywell Fluka) were purchased for hydrothermal synthesis of α-Fe2O3 NPs, which was selected as the incorporating material. Ethanol (Honeywell, ≥99.8%) and NaOH (SHIMAKYU’S PURE CHEMICALS) were used without further purification.

Fabrication of the unmodified PDMS film-based negative electrification layer

The PDMS solution was prepared by mixing the Sylgard 184 elastomer with the curing agent in a 10[thin space (1/6-em)]:[thin space (1/6-em)]1 proportion with magnetic stirring. After that, the as-prepared solution was spin-coated (at 2500 rpm for 60 s) onto Al-coated flexible PET and cured at 80 °C for 2 hours, and this sample was subsequently referred to as PF0.

Preparation of α-Fe2O3 nanoparticles

α-Fe2O3 nanoparticles were prepared by the hydrothermal method. In the first step, 156 mg of FeCl3·6H2O was sonicated in 40 ml DI water in a bath sonicator for 15 minutes to form a homogeneous solution. Then, 5.6 ml of 25% ammonia solution was added slowly (dropwise) for 30 minutes with constant stirring. Immediately, the mixed solution was transferred into a Teflon-lined steel autoclave (50 ml), sealed and heated at 180 °C for 12 hours, after which it was naturally cooled to room temperature. The product collected from the autoclave was then centrifuged and washed with deionized water and ethanol (1[thin space (1/6-em)]:[thin space (1/6-em)]1) several times to neutralize the pH, and the material was dried in air at 60 °C for 12 hours to obtain rod-like α-Fe2O3 nanoparticles.

Fabrication of a PDMS@α-Fe2O3 NP film-based negative electrification layer

Fig. S1b (ESI) shows a schematic diagram of the process of fabricating the PDMS@α-Fe2O3 NP composite film (negative electrification layer) over a flexible PET substrate with Al as the electrode. In this experiment, the PDMS solution (Sylgard 184) contained both the elastomer (PDMS) and the curing agent (elastomer was thoroughly mixed with the curing agent at a weight ratio of 10[thin space (1/6-em)]:[thin space (1/6-em)]1). To prepare the PDMS@α-Fe2O3 NP composite film, the as-prepared α-Fe2O3 NPs dispersed in DI water were first mixed into PDMS by magnetic stirring for approximately 3–4 hours until there were no bubbles in the liquid. For the comparative study, a PDMS@α-Fe2O3 NP composite film was prepared with four different weight percentages of α-Fe2O3 NPs. These samples are hereafter referred to as PF1 (0.036 wt% α-Fe2O3 NPs), PF2 (0.06 wt% α-Fe2O3 NPs), PF3 (0.077 wt% α-Fe2O3 NPs) and PF4 (0.09 wt% α-Fe2O3 NPs). The negative electrification layer of the TENGs was prepared by spin-coating (at 1200–2100 rpm for 60 s) the homogeneous solutions described above onto a 3 × 3 cm2 A1 covered flexible PET substrate whose surface was cleaned with a N2 gun before spin coating. The negative electrification layers were then cured at 80 °C for 2 hours. For the PDMS@α-Fe2O3 NP composite film, additional curing at 105 °C for 2–3.5 hours was required to remove the DI water. This selective drying process is very important to control the film morphology with irregular nano-clefts.

Fabrication of a human hair film-based positive electrification layer

Scalp hair samples were collected from 20–30 year-old women (Asian). First, 1.5 gm of hair was intensively washed with ethanol and DI water, then dried at 60 °C for 30 minutes. Then, this clean hair was submerged in 40 ml of 1.5 M ethanolic NaOH solution, sealed and heated at 60 °C for 12 hours. After cooling naturally to room temperature, this processed hair mass was washed through centrifugation with ethanol, and then the resulting hair mass was dissolved in an equal amount of DI water with ultrasonication to obtain a homogeneous solution. As shown in Fig. S1a (ESI), to prepare the positive side of the TENGs, a 16.7 μm thick film was deposited by spin-coating (at 1500 rpm for 40 s) the as-prepared homogeneous solution onto an A1-covered flexible PET substrate surface that had been cleaned by a N2 gun before spin coating, and then the sample was dried at 60 °C for 5 hours. The total contact area of the TENG was 3 × 3 cm2. The TENGs (Fig. S1c, ESI) were operated with vertical contact-separation modes.

This experiment was performed in compliance with the institute's rules on the use of human subjects and the hair waste samples were collected from some Asian women with their consent.

Material characterization and electrical measurements

The crystalline phase and the surface charge potential of the PDMS@α-Fe2O3 NP composite films were systematically analyzed by X-ray diffraction (X-ray Diffraction for Thin Film Advanced Analysis and X-ray Powder Diffractometer equipped with a Cu Kα source) and Kelvin probe force microscopy (KPFM, Dimension-3100 Multimode, Digital Instruments). The surface morphologies and elemental analyses of the α-Fe2O3 NPs, PDMS@α-Fe2O3 NP composite films with different wt% α-Fe2O3 NPs and human hair-based film were investigated using FE-SEM combined with energy-dispersive spectroscopy (EDS) (FE-SEM, JEOL JSM-7500F) and AFM (Innova B067, Bruker Corp. USA). The chemical bonding of the α-Fe2O3 NPs, PDMS@α-Fe2O3 NPs composite films with different weight% of α-Fe2O3 NPs and human hair-based film was investigated using a Howard Infrared Spectrometer-Microscope with an ATR microscopy accessory. The thickness of the PDMS@α-Fe2O3 NP composite films and human hair-based film was obtained by an Alpha stepper (DektakXT, Bruker). All electrical properties of the TENG were measured by using a Keithley 6514 programmable electrometer and a low-noise current preamplifier (Stanford Research System Model SR570). The capacitances and leakage currents of the PDMS film and PDMS@α-Fe2O3 NP composite films were measured using an Agilent B1500A semiconductor device parameter analyzer at room temperature.

Author contributions

I. C. and C.-S. L. conceived the idea and designed the work. I. C. prepared the samples and measured the devices. I. C., S.-N. L., M.-C. W., J. M. W and C.-S. L. were involved in the discussion and characterization. I. C., H.-Y. L and S.-N. L. interpreted the experimental results and conducted the theoretical mechanisms. I. C. prepared the manuscript and S.-N. L., M.-C. W., C. L., J. M. W., C.-S. L. revised it.

Conflicts of interest

There is no conflict of interest to declare.

Acknowledgements

The authors acknowledge the financial support provided by the Ministry of Science and Technology, Taiwan under project numbers of MOST 109-2221-E-182-013-MY3, MOST 110-2622-8-182-001-TS1 and MOST 110-2119-M-492-002-MBK, and Chang Gung Memorial Hospital Research Project under grant numbers of CMRPD2K0171 and CORPD2J0072.

References

  1. J. M. Wu, Y. H. Lin and B.-Z. Yang, Nano Energy, 2016, 22, 468–474 CrossRef CAS .
  2. S.-N. Lai, C.-K. Chang, C.-S. Yang, C.-W. Su, C.-M. Leu, Y.-H. Chu, P.-W. Sha and J. M. Wu, Nano Energy, 2019, 60, 715–723 CrossRef CAS .
  3. F. R. Fan, Z. Q. Tian and Z. L. Wang, Nano Energy, 2012, 1, 328–334 CrossRef CAS .
  4. Z. L. Wang, Faraday Discuss., 2014, 176, 447–458 RSC .
  5. S. Niu and Z. L. Wang, Nano Energy, 2015, 14, 161–192 CrossRef CAS .
  6. H. Kang, H. Kim, S. Kim, H. J. Shin, S. Cheon, J.-H. Huh, D. Y. Lee, S. Lee, S.-W. Kim and J. H. Cho, Adv. Funct. Mater., 2016, 26, 7717–7724 CrossRef CAS .
  7. J. Chun, B. U. Ye, J. W. Lee, D. Choi, C.-Y. Kang, S.-W. Kim, Z. L. Wang and J. M. Baik, Nat. Commun., 2016, 7, 12985 CrossRef CAS PubMed .
  8. J. M. Wu, C. K. Chang and Y. T. Chang, Nano Energy, 2016, 19, 39–47 CrossRef CAS .
  9. J.-S. Im and I.-K. Park, ACS Appl. Mater. Interfaces, 2018, 10, 25660–25665 CrossRef CAS PubMed .
  10. J. W. Lee, B. U. Ye and J. M. Baik, APL Mater., 2017, 5, 073802 CrossRef .
  11. J. Xiong, P. Cui, X. Chen, J. Wang, K. Parid, M.-F. Lin and P. S. Lee, Nat. Commun., 2018, 9, 4280 CrossRef PubMed .
  12. F.-R. Fan, L. Lin, G. Zhu, W. Wu, R. Zhang and Z. L. Wang, Nano Lett., 2012, 12, 3109–3114 CrossRef CAS PubMed .
  13. C. K. Jeong, K. M. Baek, S. Niu, T. W. Nam, Y. H. Hur, D. Y. Park, G.-T. Hwang, M. Byun, Z. L. Wang, Y. S. Jung and K. J. Lee, Nano Lett., 2014, 14, 7031–7038 CrossRef CAS PubMed .
  14. X.-S. Zhang, M.-D. Han, R.-X. Wang, B. Meng, F.-Y. Zhu, X.-M. Sun, W. Hu, W. Wang, Z.-H. Li and H.-X. Zhang, Nano Energy, 2014, 4, 123–131 CrossRef CAS .
  15. J. Chen, H. Guo, X. He, G. Liu, Y. Xi, H. Shi and C. Hu, ACS Appl. Mater. Interfaces, 2016, 8, 736–744 CrossRef CAS PubMed .
  16. D. Kim, S.-J. Park, S.-B. Jeon, M.-L. Seol and Y.-K. Choi, Adv. Electron. Mater., 2016, 2, 1500331 CrossRef .
  17. J.-G. Sun, T. N. Yang, I.-S. Kuo, J.-M. Wu, C.-Y. Wang and L. J. Chen, Nano Energy, 2017, 32, 180–186 CrossRef CAS .
  18. E. N. Jayaweera, K. R. Wijewardhana, T. K. Ekanayaka, A. Shahzad and J.-K. Song, ACS Sustainable Chem. Eng., 2018, 6, 6321–6327 CrossRef CAS .
  19. C. T. Cherian, J. Sundaramurthy, M. Kalaivani, P. Ragupathy, P. S. Kumar, V. Thavasi, M. V. Reddy, C. H. Sow, S. G. Mhaisalkar, S. Ramakrishna and B. V. R. Chowdari, J. Mater. Chem., 2012, 22, 12198 RSC .
  20. G. Binitha, M. S. Soumya, A. A. Madhavan, P. Praveen, A. Balakrishnan, K. R. V. Subramanian, M. V. Reddy, S. V. Nair, A. S. Nair and N. Sivakumar, J. Mater. Chem. A, 2013, 1, 11698 RSC .
  21. N. V. Long, T. Teranishi, Y. Yang, C. M. Thi, Y. Cao and M. Nogami, Int. J. Miner., Metall. Mater., 2015, 1, 119 Search PubMed .
  22. J. Sundaramurthy, P. S. Kumar, M. Kalaivani, V. Thavasi, S. G. Mhaisalkar and S. Ramakrishna, RSC Adv., 2012, 2, 8201–8208 RSC .
  23. Y. Li, Y. Lu, H. Hong, Y. Chen, X. Ma, L. Guo, Z. Wang, J. Chen, M. Zhu, J. Ni, H. Gu, J. Lu and J. Y. Ying, Chem. Commun., 2011, 47, 6320–6322 RSC .
  24. N. Stafie, D. F. Stamatialis and M. Wessling, Sep. Purif. Technol., 2005, 45, 220–231 CrossRef CAS .
  25. D. M. S. N. Dissanayake, M. M. M. G. P. G. Mantilaka, T. C. Palihawadana, G. T. D. Chandrakumara, R. T. D. Silva, H. M. T. G. A. Pitawala, K. M. N. D. Silva and G. A. J. Amaratunga, RSC Adv., 2019, 9, 21249 RSC .
  26. J.-Y. Park, H. Y. Chae, C.-H. Chung, S. J. Sim, J. Park, H. H. Lee and P. J. Yoo, Soft Matter, 2010, 6, 677–684 RSC .
  27. G.-Z. Li, G.-G. Wang, Y.-W. Cai, N. Sun, F. Li, H.-L. Zhou, H.-X. Zhao, X.-N. Zhang, J.-C. Han and Y. Yang, Nano Energy, 2020, 75, 104918 CrossRef CAS .
  28. S. Cheon, H. Kang, H. Kim, Y. Son, J. Y. Lee, H.-J. Shin, S.-W. Kim and J. H. Cho, Adv. Funct. Mater., 2018, 28, 1703778 CrossRef .
  29. M. A. Mujeeb and K. M. Zafar, Int. J. Environ. Sci. Technol., 2017, 6, 2036–2040 Search PubMed .
  30. P. Garidel and H. Schott, BioProcess Int., 2006, 40–46 CAS .
  31. M. A. Mujeeb and M. K. M. Zafar, IJIRSET, 2017, 6, 9327–9332 Search PubMed .
  32. V. Harnchana, H. V. Ngoc, W. He, A. Rasheed, H. Park, V. Amornkitbamrung and D. J. Kang, ACS Appl. Mater. Interfaces, 2018, 10, 25263–25272 CrossRef CAS PubMed .
  33. R. Wen, J. Guo, A. Yu, J. Zhai and Z. L. Wang, Adv. Funct. Mater., 2019, 29, 1807655 CrossRef .
  34. Y. H. Ko, G. Nagaraju, S. H. Lee and J. S. Yu, ACS Appl. Mater. Interfaces, 2014, 6, 6631–6637 CrossRef CAS PubMed .
  35. H.-W. Park, N. D. Huynh, W. Kim, H. J. Hwang, H. Hong, K. H. Choi, A. Song, K.-B. Chung and D. Choi, Micromachines, 2018, 9, 407 CrossRef PubMed .
  36. D. Choi, S. Yang, C. Lee, W. Kim, J. Kim and J. Hong, ACS Appl. Mater. Interfaces, 2018, 10, 33221–33229 CrossRef CAS PubMed .
  37. J. Yu, X. Hou, M. Cui, S. Shi, J. He, Y. Sun, C. Wang and X. Chou, Sci. China. Mater., 2019, 62, 1423–1432 CrossRef CAS .
  38. D. W. Kim, S.-W. Kim and U. Jeong, Adv. Mater., 2018, 30, 1804949 CrossRef PubMed .
  39. C. Rayssi, S. E. Kossi, J. Dhahri and K. Khirouni, RSC Adv., 2018, 8, 17139–17150 RSC .
  40. K. Hayashida, RSC Adv., 2016, 6, 64871–64878 RSC .
  41. S. R. Pendlebury, X. Wang, F. L. Formal, M. Cornuz, A. Kafizas, S. D. Tilley, M. Grätzel and J. R. Durrant, J. Am. Chem. Soc., 2014, 136, 9854–9857 CrossRef CAS PubMed .
  42. V. Ganesh, S. Pitchumani and V. Lakshminarayanan, J. Power Sources, 2006, 158, 1523–1532 CrossRef CAS .
  43. M. V. Reddy, G. V. S. Rao and B. V. R. Chowdari, Chem. Rev., 2013, 113, 5364–5457 CrossRef CAS PubMed .
  44. Z. Yu, L. Tetard, L. Zhai and J. Thomas, Energy Environ. Sci., 2015, 8, 702–730 RSC .
  45. W. Y. Sohn, M. Inaba, T. Tokubuchi, J. E. Thorne, D. Wang and K. Katayama, J. Phys. Chem. C, 2019, 123, 6693–6700 CrossRef CAS .
  46. W. Seung, H.-J. Yoon, T. Y. Kim, H. Ryu, J. Kim, J.-H. Lee, J. H. Lee, S. Kim, Y. K. Park, Y. J. Park and S.-W. Kim, Adv. Energy Mater., 2017, 7, 1600988 CrossRef .
  47. H. J. Hwang, J. S. Kim, W. Kim, H. Park, D. Bhatia, E. Jee, Y. S. Chung, D. H. Kim and D. Choi, Adv. Energy Mater., 2019, 9, 1803786 CrossRef .
  48. S. Niu, S. Wang, L. Lin, Y. Liu, Y. S. Zhou, Y. Hu and Z. L. Wang, Energy Environ. Sci., 2013, 6, 3576–3583 RSC .
  49. V. Vivekananthan, A. Chandrasekhar, N. R. Alluri, Y. Purusothaman and S.-J. Kim, Nanoscale Adv., 2020, 2, 746–754 RSC .
  50. X. Zheng and J. Li, Ionics, 2014, 20, 1651–1663 CrossRef CAS .
  51. M. Chen, E. Zhao, Q. Yan, Z. Hu, X. Xiao and D. Chen, Sci. Rep., 2016, 6, 29381 CrossRef CAS PubMed .
  52. A. Li, Y. Zi, H. Guo, Z. L. Wang and F. M. Fernández, Nat. Nanotechnol., 2017, 12, 481–487 CrossRef CAS PubMed .

Footnote

Electronic supplementary information (ESI) available. See DOI: 10.1039/d1mh00919b

This journal is © The Royal Society of Chemistry 2021
Click here to see how this site uses Cookies. View our privacy policy here.