-
Wearable battery-free perspiration analyzing sites based on sweat flowing on ZnO nanoarrays was fabricated.
-
Coupling of hydrovoltaic effect and enzymatic reaction were analyzed.
-
The wearable wireless physiological status monitoring system has potential application in constructing sports big data.
Abstract
We fabricated wearable perspiration analyzing sites for actively monitoring physiological status during exercises without any batteries or other power supply. The device mainly consists of ZnO nanowire (NW) arrays and flexible polydimethylsiloxane substrate. Sweat on the skin can flow into the flow channels of the device through capillary action and flow along the channels to ZnO NWs. The sweat flowing on the NWs (with lactate oxidase modification) can output a DC electrical signal, and the outputting voltage is dependent on the lactate concentration in the sweat as the biosensing signal. ZnO NWs generate electric double layer (EDL) in sweat, which causes a potential difference between the upper and lower ends (hydrovoltaic effect). The product of the enzymatic reaction can adjust the EDL and influence the output. This device can be integrated with wireless transmitter and may have potential application in constructing sports big data. This work promotes the development of next generation of biosensors and expands the scope of self-powered physiological monitoring system.
![](http://media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs40820-020-00441-1/MediaObjects/40820_2020_441_Figa_HTML.png)
Similar content being viewed by others
Avoid common mistakes on your manuscript.
1 Introduction
Wearable biosensors that interface with the human skin have received much attention because of the popularization of portable electronic consumers, such as flexible medical sensors or various smart watches/bracelets [1,2,3,4,5,6]. Recent advances in materials science, mechanics, and electronics establish the foundations for stretchable and flexible sensors that can conform to the complex, textured surface of the skin. The results enable high precision sensing through a familiar device–skin interface without irritation or discomfort [7,8,9,10,11,12,13,47, 48].
A skin-like big substrate (radius 50 mm, thickness 0.5 mm) for sweat flowing was also made of PDMS. Firstly, the designed patterns and flow channels were carved on the PMMA mold using numerical control engraving. PDMS paste was then cast on the mold and sealed with a smooth flat plate. Finally, it would be kept under (80 °C) until PDMS was solidified, and the substrate was taken out.
The ZnO-grown PDMS film was cut into an area of 10 × 10 mm2 and attached into the corresponding position of the skin-like big PDMS substrate. Finally, ZnO NWs were modified with lactate oxidase (LOx). 0.5 mL of configured LOx aqueous solution (20u) was slowly dropped onto the surface of ZnO NWs [49]. The device was placed in a dry and ventilated place for 2–3 h. In the previous work, both ZnO and PDMS have been proven to be nontoxic/biocompatible and can work well on the human body environment [50,51,52].
2.2 Characterization and Measurement
The crystal phase of ZnO NWs was characterized by X-ray diffraction (XRD, D/max 2550 V, CuKa radiation). The morphology and microstructure of the NWs and PDMS substrate were investigated by a scanning electron microscope (SEM, JEOL JSM-6700F).
The dropper aimed at ZnO NWs and dripped the test solution vertically downward. 0.4 mL × 5 times of test solution was dropped on the NWs for each measurement. It should be mentioned that for investigating the biosensing performance of the NWs, a big-size ZnO device (30 × 40 mm2) was firstly measured. It is a sheet with ZnO NWs made by the same method. The larger area allows the liquid flowing sufficiently to maximize the sensing gradient. The performance of standard-size device on the body-skin was then measured. The outputting voltage was measured using a low-noise preamplifier (Model SR560, Stanford Research Systems).
The standard-size device was attached on a volunteer’s chest using double-sided medical tape, and the volunteer kept bicycling during test. The outputting voltage of the device was continuously measured and recorded every 15 min. At the same time, 2 mL of sweat was collected and titrated with a commercial lactate meter for obtaining the corresponding lactate concentration.
For constructing a wireless monitoring system, a commercial piezoelectric device was used to power the wireless transmitter, and the perspiration analyzing sites can be used as a switch of the system. With or without sweat flowing through the device, the system can or cannot wirelessly transmit the information.
3 Results and Discussion
Figure 1a shows the experimental design and potential application of the wearable battery-free perspiration analyzing sites. The device is attached on the skin surface of an athlete during exercises, and sweat will be inhaled into the device and flow along the channels to ZnO NWs. The outputting voltage of the device (hydrovoltaic effect) varies as the target biomolecule concentration in sweat changes. The biosensing information can be wirelessly transmitted by a wireless system. The perspiration analyzing sites on different athletes’ body can monitor and upload their physiological status for constructing sports big data.
a Potential application of the wearable battery-free perspiration analyzing sites. b Fabrication process, structure display, and XRD diffraction pattern of the device. c Optical image of the device. d–f SEM images of ZnO NWs grown on PDMS film. g–i SEM images of the flexible skin-like PDMS substrate
3.1 Device Composition
Figure 1b shows the device structure of the perspiration analyzing sites. The device is mainly composed of two parts. The sweat inlet, outlet, and the flow channels for sweat flowing are placed on the skin-like big PDMS substrate. A small PDMS film (thickness 0.15 mm) with ZnO NWs grown on is placed on the sensing position (eight positions in total) of the substrate (Fig. 1b). The XRD pattern of ZnO NWs is inserted on the right top corner, and the sharp diffraction peaks indicate good crystalline quality [53, 54]. All the diffraction peaks can be indexed to the hexagonal wurtzite structure of ZnO (JCPDS No. 36-1451). Figure 1c shows optical images of the device. It can be seen that the flexible device can adapt the skin with different deformation situations. Figure 1d–f shows SEM images of ZnO NWs grown on PDMS film. ZnO NWs are grown vertically on PDMS film and have the same growth direction with an average length of about 7 μm. From a top perspective, it can be seen that ZnO NWs grow densely and have a complete hexahedral structure with an average diameter of about 150 nm.
Figure 1g–i shows SEM images of the flexible skin-like PDMS substrate. It can be seen that the round-shape sweat inlet/outlet and the straight liquid flow channels are patterned on the substrate. The sweat inlets have a diameter of 3 mm and the width of the flow channel is 200 μm. Circle opening inlets can be defined as the sweat harvesting areas through which sweat could pass into the flow channels. The pressure drives fluid flow arising from the action of the sweat glands themselves, assisted by capillary effects in the channels. The hydrophobic surface inhibits lateral flow of sweat from the opening inlets, ensuring that fluid is inhaled into the flow channels for dominating the sweat sample. The flow channels direct the fluid to the sensing area (Movie S1). For reusability, the device is unsealed. ZnO NWs would not attach directly with the skin, which prevents material from contamination. The previous studies have verified that such size can be used for sweat flow [21].
3.2 Sensing Performance
Figure 2 shows the biosensing behavior of the perspiration analyzing sites. Figure 2a shows lactate biosensing performance of the device with LOx modification. When the lactate concentration in saline solution on the device surface is 0.00, 9.00, 18.00, and 27.00 mM, the outputting voltage (peak value) of the device through hydrovoltaic effect is 0.11, 0.13, 0.16, and 0.18 V, respectively. The outputting voltage increases with an increase in lactate concentration. From Fig. 2b, it can be seen that there is an approximately linear relationship between the outputting voltage of the device and the lactate concentration. The response can be simply defined as (Eq. 1) [55]:
where V0 and Vi are the outputting voltage of the device in saline solution with and without lactate, respectively. As the lactate concentration is 0.00, 9.00, 18.00, and 27.00 mM, the response is 0.00%, 19.46%, 44.06%, and 65.21%, respectively. The calibration curve fits Eq. 2:
(where R2 = 0.99727, a = 0.00274, b = 0.11119; y is the output voltage, x is the concentration of lactate). The limit of detection (LOD; the signal-to-noise ratio is 3:1) can be calculated to be about 1.53 mM using the fitted linear equation [2e shows that the outputting voltage of the device can be influenced by NaCl concentration. The outputting voltage decreases with an increase in NaCl concentration. When NaCl concentration changes drastically, the EDL is different. Considering that the lactate concentration in the experiment is much smaller than this range, the NaCl concentration in the testing solution needs to be constant for biosensing investigation. Figure 2f shows the outputting voltage of the device after switching the positive and negative terminals. The outputting voltage of the device is close to 0.2 V. When the positive and negative terminals are switched, the outputting voltage of the device becomes − 0.2 V.
As a lactate analyzer, the selectivity of the device is an important indicator. Several typical substances in sweat are dropped on the device with LOx modification at different concentrations, as shown in Fig. 2g–i. When the glucose concentration in saline solution is 0.00, 0.07, 0.14, and 0.21 mM, the outputting voltage of the device is 0.038, 0.037, 0.038, and 0.037 V, respectively. When the urea concentration in saline solution is 0, 7, 14, and 21 mM, the outputting voltage of the device is 0.077, 0.076, 0.071, and 0.074 V, respectively. When the uric acid concentration in saline solution is 0, 0.015, 0.030, and 0.045 mM, the outputting voltage of the device is 0.017, 0.017, 0.017, and 0.016 V, respectively. These results confirm that the device with LOx modification has relatively high selectivity for detecting lactate.
3.3 Influence Factors
Figure 3a shows the biosensing behavior of the perspiration analyzing sites against small lactate concentration. When the lactate concentration is 0.00, 2.00, 4.00, and 6.00 mM, the outputting voltage of the device with LOx modification is 0.16, 0.17, 0.18, and 0.19 V, and the response is 0, 9%, 15%, and 18%, respectively. Figure 3b shows that the small variation of the NaCl concentration cannot significantly change the outputting voltage of the device with LOx modification. Obviously, this shows that the substance left by evaporation of sweat would not affect sensing in the short term. Since the device is designed for long-term reuse, the device needs refresh after a certain period of time. Figure 3c shows that for the device without LOx modification, the outputting voltage almost keeps unchanged with lactate concentration ranging from 0 to 6.00 mM. The response is very limited. And the small variation of the NaCl concentration also cannot significantly change the outputting voltage of the device without LOx (Fig. 3d). It is clear that enzymatic reaction plays a significant role in this biosensing process. Figure 3e shows the output of the device against different air flow. As the air flow velocity increases, the outputting voltage of the device increases, further confirming that the solution flowing is the key for generating power. Figure 3f shows that humidity temperature can influence the output of the device. As the humidity increases, the outputting voltage of the device decreases. The illustration inserted in Fig. 3f shows that the outputting voltage of the device increases when temperature rises.
a Biosensing behavior of the perspiration analyzing sites against small lactate concentration. b Effect of small gradient NaCl Concentration on device outputting voltage. c Outputting voltage of the device without LOx modification against different lactate concentration. d Outputting voltage of the device without LOx modification against different NaCl concentrations. e Outputting voltage of the device with LOx modification against different air flow velocity. f Outputting voltage of the device with LOx modification against different humidities and temperatures
3.4 Working Mechanism
Figure 4a shows the power-generating process of the perspiration analyzing sites. The power-generating process is mainly attributed to the hydrovoltaic effect [57]. As droplets are dropped on ZnO NWs, an EDL consisting of absorbed Na+ and Cl− ions can form at the solid–liquid interface. The accumulation of Cl ions can screen the Na+ ion layer adsorbed on the ZnO surface. Due to retarded migration of Cl− ions, the adsorbed Na+ ion layer on the ZnO section just immersed in the solution will raise the local potential [58, 59]. As the solution flows, the adsorbed Na+ ions can accumulate at the destination of the flow, while Cl− ions are hindered from accumulating at the beginning of the flow. The previous work has shown that ZnO nanofilms can generate EDL under certain conditions [57]. Meanwhile, some studies have reported that hexahedral nanostructures use flowing liquid to generate EDL [60]. Therefore, the mechanism that ZnO NWs can also generate EDL by using the hydrodynamic effect is convincing. This process results in an open-circuit voltage between the upper and lower electrodes [61, 62].
The zeta potential of ZnO NWs shown in Fig. 4b is negative, which also confirms that it can adsorb Na+. The channels of the device can cause the droplets to flow continuously for generating power. As the flow stops, the EDL reaches equilibrium and the output of the device decreases. It is worth noticing that every drop of solution on the surface of the device can destroy the balance of the EDL and generate power.
Figure 4a also shows the biosensing process of the perspiration analyzing sites. As the device is immersed in the saline containing lactate, the enzyme reaction between LOx and lactate can take place at the surface of ZnO NWs (Eq. 3):
Furthermore, hydrogen peroxide is oxidized as Eq. 4:
Hydrogen peroxide (H+ and e−) can influence the zeta potential of ZnO NWs, and thus change the output of the device. Figure 4c experimentally confirms that hydrogen peroxide can indeed influence the output of the device. The device is immersed in saline solution containing different concentrations of hydrogen peroxide. (The concentration is roughly similar to the product of the enzymatic reaction between lactate and LOx in our biosensing measurement.) As the concentration is 0.00, 3.0 × 10−5, 6.0 × 10−5, and 1.2 × 10−4 mM, the outputting voltage is 0.139, 0.155, 0.171, and 0.187 V, respectively. The outputting voltage increases with an increase in hydrogen peroxide concentration. Compared to Fig. 4b, d shows that hydrogen peroxide makes a result in the absolute value of zeta potential increasing. These results further confirm that the biosensing behavior is attributed to the coupling of the enzymatic reaction and hydrovoltaic effect.
3.5 Application
Figure 5 shows the potential application of the wearable battery-free perspiration analyzing sites integrated with wireless transmitters. As shown in Fig. 5a, the systems attached on different athletes can real-time monitor their physiological status and wirelessly transmit the information to servers for constructing sports big data. We simply demonstrate the application in Fig. 5b. The device is attached on a volunteer’s chest during exercises (bicycling at a speed of 20.9 km h−1 for 30 min). At the very beginning, the volunteer cannot sweat at all, and the outputting voltage of the devices is almost zero. After 15 min, the lactate concentration in the sweat is 9.85 mM, and the outputting voltage of the device is 0.051 V. When the exercises time is 30 min, the lactate concentration in the sweat increases to 25.02 mM, and the outputting voltage of the device increases to 0.068 V. Figure 5c shows a simple wireless system integrated with perspiration analyzing sites. A commercial piezoelectric device is used to power the wireless transmitter, and the perspiration analyzing sites can be used as a switch of the system. With or without sweat flowing through the device, the system can or cannot wirelessly transmit the information. Movie S2 shows the experimental process. The solution is artificial sweat with red pigment. The wireless induction module consists of a small light bulb. When the wireless transmitter turns on (sweat flowing), the small light bulb can be shutoff.
4 Conclusion
In this work, we have fabricated wearable perspiration analyzing sites for actively monitoring physiological status during exercises without any batteries. The working mechanism is based on the coupling of hydrovoltaic effect and enzymatic reaction. The sweat flowing on ZnO NWs (with lactate oxidase modification) can output a DC electrical signal, and the outputting voltage is dependent on the lactate concentration in the sweat as the biosensing signal. This device can be integrated with wireless transmitter for constructing sports big data. These present results can promote the development of self-powered physiological monitoring system.
References
A.J. Bandodkar, J. Wang, Non-invasive wearable electrochemical sensors: a review. Talanta 177, 163–170 (2018). https://doi.org/10.1016/j.talanta.2017.08.077
Y. Yang, W. Gao, Wearable and flexible electronics for continuous molecular monitoring. Chem. Soc. Rev. 48(6), 1465–1491 (2019). https://doi.org/10.1039/c7cs00730b
L. Zhao, H. Li, J. Meng, A. Wang, P. Tan et al., Reversible conversion between schottky and ohmic contacts for highly sensitive, multifunctional biosensors. Adv. Funct. Mater. 30(5), 1907999 (2020). https://doi.org/10.1002/adfm.201907999
P. Singh, S.K. Pandey, J. Singh, S. Srivastava, S. Sachan, S.K. Singhet, Biomedical perspective of electrochemical nanobiosensor. Nano-Micro Lett. 8(3), 193–203 (2016). https://doi.org/10.1007/s40820-015-0077-x
X. Wang, Z. Liu, J. Zhang, Flexible sensing electronics for wearable/attachable health monitoring. Small 13(25), 1602790 (2017). https://doi.org/10.1002/smll.201602790
A. Tricoli, N. Nasiri, S. De, Wearable and miniaturized sensor technologies for personalized and preventive medicine. Adv. Funct. Mater. 27(15), 1605271 (2017). https://doi.org/10.1002/adfm.201605271
L. Zhao, H. Li, J. Meng, Z. Li, The recent advances in self-powered medical information sensors. InfoMat 2, 212–234 (2020). https://doi.org/10.1002/inf2.12064
J. Kim, S. Imani, W.R. de Araujo, J. Warchall, G. Valdes-Ramirez, T. Paixao, P.P. Mercier, J. Wang, Wearable salivary uric acid mouthguard biosensor with integrated wireless electronics. Biosens. Bioelectron. 74, 1061–1068 (2015). https://doi.org/10.1016/j.bios.2015.07.039
Y. Zou, P. Tan, B. Shi, H. Ouyang, D. Jiang et al., A bionic stretchable nanogenerator for underwater sensing and energy harvesting. Nat. Commun. 10, 2695 (2019). https://doi.org/10.1038/s41467-019-10433-4
S. Bai, S. Zhang, W. Zhou, D. Ma, Y. Ma, P. Joshi, A. Hu, Laser-assisted reduction of highly conductive circuits based on copper nitrate for flexible printed sensors. Nano-Micro Lett. 9(4), 42 (2017). https://doi.org/10.1007/s40820-017-0139-3
H. Lee, T. Choi, Y. Lee, H. Cho, R. Ghaffari et al., A graphene-based electrochemical device with thermoresponsive microneedles for diabetesmonitoring and therapy. Nat. Nanotechnol. 11(6), 566–572 (2016). https://doi.org/10.1038/NNANO.2016.38
J. Sun, A. Yang, C. Zhao, F. Liu, Z. Li, Recent progress of nanogenerators acting as biomedical sensors in vivo. Sci. Bull. 64(18), 1336–1347 (2019). https://doi.org/10.1016/j.scib.2019.07.001
P. Miao, J. Wang, C. Zhang, M. Sun, S. Cheng, H. Liu, Graphene nanostructure-based tactile sensors for electronic skin applications. Nano-Micro Lett. 11(1), 71 (2019). https://doi.org/10.1007/s40820-019-0302-0
L. **e, X. Chen, Z. Wen, Y. Yang, J. Shi, C. Chen, M. Peng, Y. Liu, X. Sun, Spiral steel wirebased fiber-shaped stretchable and tailorable triboelectric nanogenerator for wearable power source and active gesture sensor. Nano-Micro Lett. 11(1), 39 (2019). https://doi.org/10.1007/s40820-019-0271-3
E. Mezghani, E. Exposito, K. Drira, M. Da Silveira, C. Pruski, A semantic big data platform for integrating heterogeneous wearable data in healthcare. J. Med. Syst. 39(12), 185 (2015). https://doi.org/10.1007/s10916-015-0344-x
H. Guan, T. Zhong, H. He, T. Zhao, L. **ng, Y. Zhang, X. Xue, A self-powered wearable sweat-evaporation-biosensing analyzer for building sports big data. Nano Energy 59, 754–761 (2019). https://doi.org/10.1007/10.1016/j.nanoen.2019.03.026
M. Chen, Y. Ma, J. Song, C.-F. Lai, B. Hu, Smart clothing: connecting human with clouds and big data for sustainable health monitoring. Mobile Netw. Appl. 21(5), 825–845 (2016). https://doi.org/10.1007/s11036-016-0745-1
A.J. Bandodkar, I. Jeerapan, J. Wang, Wearable chemical sensors: present challenges and future prospects. ACS Sens. 1(5), 464–482 (2016). https://doi.org/10.1021/acssensors.6b00250
W. Dang, L. Manjakkal, W. Navaraj, L. Lorenzelli, V. Vinciguerra, R. Dahiya, Stretchable wireless system for sweat pH monitoring. Biosens. Bioelectron. 107, 192–202 (2018). https://doi.org/10.1016/j.bios.2018.02.025
J. Kim, A.S. Campbell, B.E.F. de Avila, J. Wang, Wearable biosensors for healthcare monitoring. Nat. Biotechnol. 37(4), 389–406 (2019). https://doi.org/10.1038/s41587-019-0045-y
A. Koh, D. Kang, Y. Xue, S. Lee, R. Pielak et al., Wearable microfluidic device for the capture, storage, and colorimetric sensing of sweat. Sci. Transl. Med. 8(366), 366ra165 (2016). https://doi.org/10.1126/scitranslmed.aaf2593
E.E. Coris, A.M. Ramirez, D.J. Van Durme, Heat illness in athletes—the dangerous combination of heat, humidity and exercise. Sports Med. 34(1), 9–16 (2004). https://doi.org/10.2165/00007256-200434010-00002
G. Matzeu, L. Florea, D. Diamond, Advances in wearable chemical sensor design for monitoring biological fluids. Sens. Actuator B-Chem. 211, 403–418 (2015). https://doi.org/10.1016/j.snb.2015.01.077
S. Nakata, T. Arie, S. Akita, K. Takei, Wearable, flexible, and multifunctional healthcare device with an ISFET chemical sensor for simultaneous sweat pH and skin temperature monitoring. ACS Sens. 2(3), 443–448 (2017). https://doi.org/10.1021/acssensors.7b00047
V. Curto, C. Fay, S. Coyle, R. Byrne, C. O’Toole et al., Real-time sweat pH monitoring based on a wearable chemical barcode micro-fluidic platform incorporating ionic liquids. Sens. Actuator B-Chem. 171, 1327–1334 (2012). https://doi.org/10.1016/j.snb.2012.06.048
A. Martin, J. Kim, J. Kurniawan, J. Sempionatto, J. Moreto et al., Epidermal microfluidic electrochemical detection system: enhanced sweat sampling and metabolite detection. ACS Sens. 2(12), 1860–1868 (2017). https://doi.org/10.1021/acssensors.7b00729
W. Han, H. He, L. Zhang, C. Dong, H. Zeng et al., A self-powered wearable noninvasive electronic-skin for perspiration analysis based on piezo-biosensing unit matrix of enzyme/ZnO nanoarrays. ACS Appl. Mater. Interfaces 9(35), 29526–29537 (2017). https://doi.org/10.1021/acsami.7b07990
W. Jia, A.J. Bandodkar, G. Valdes-Ramirez, J.R. Windmiller, Z. Yang, J. Ramirez, G. Chan, J. Wang, Electrochemical tattoo biosensors for real-time noninvasive lactate monitoring in human perspiration. Anal. Chem. 85(14), 6553–6560 (2013). https://doi.org/10.1021/ac401573r
J.R. Sempionatto, T. Nakagawa, A. Pavinatto, S.T. Mensah, S. Imani, P. Mercier, J. Wang, Eyeglasses based wireless electrolyte and metabolite sensor platform. Lab Chip 17(10), 1834–1842 (2017). https://doi.org/10.1039/c7lc00192d
D.-H. Choi, Y. Li, G.R. Cutting, P.C. Searson, A wearable potentiometric sensor with integrated salt bridge for sweat chloride measurement. Sens. Actuator B-Chem. 250, 673–678 (2017). https://doi.org/10.1016/j.snb.2017.04.129
S. Tuteja, C. Ormsby, S. Neethirajan, Noninvasive label-free detection of cortisol and lactate using graphene embedded screen-printed electrode. Nano-Micro Lett. 10(3), 41 (2018). https://doi.org/10.1007/s40820-018-0193-5
V. Oncescu, D. O’Dell, D. Erickson, Smartphone based health accessory for colorimetric detection of biomarkers in sweat and saliva. Lab Chip 13(16), 3232–3238 (2013). https://doi.org/10.1039/c3lc50431j
A.J. Bandodkar, P. Gutruf, J. Choi, K. Lee, Y. Sekine et al., Battery-free, skin-interfaced microfluidic/electronic systems for simultaneous electrochemical, colorimetric, and volumetric analysis of sweat. Sci. Adv. 5(1), eaav3294 (2019). https://doi.org/10.1126/sciadv.aav3294
H. Xu, Y. Lu, J. **ang, M. Zhang, Y. Zhao, Z. **e, Z. Gu, A multifunctional wearable sensor based on a graphene/inverse opal cellulose film for simultaneous, in situ monitoring of human motion and sweat. Nanoscale 10(4), 2090–2098 (2018). https://doi.org/10.1039/c7nr07225b
Y. Yang, J. Qi, Q. Liao, Y. Zhang, L. Tang, Z. Qin, Synthesis and characterization of Sb-doped ZnO nanobelts with single-side zigzag boundaries. J. Phys. Chem. C 112(46), 17916–17919 (2008). https://doi.org/10.1021/jp8064213
N. Ye, J. Qi, Z. Qi, X. Zhang, Y. Yang, J. Liu, Y. Zhang, Improvement of the performance of dye-sensitized solar cells using Sn-doped ZnO nanoparticles. J. Power Sources 195(17), 5806–5809 (2010). https://doi.org/10.1016/j.jpowsour.2010.03.036
Y. Yang, J. Qi, W. Guo, Y. Gu, Y. Huang, Y. Zhang, Transverse piezoelectric field-effect transistor based on single ZnO nanobelts. Phys. Chem. Chem. Phys. 12(39), 12415–12419 (2010). https://doi.org/10.1039/c0cp00420k
J. Zhao, X. Yan, Y. Yang, Y. Huang, Y. Zhang, Raman spectra and photoluminescence properties of In-doped ZnO nanostructures. Mater. Lett. 64(5), 569–572 (2010). https://doi.org/10.1016/j.matlet.2009.11.074
Y. Yang, W. Guo, J. Qi, Y. Zhang, Flexible piezoresistive strain sensor based on single Sb-doped ZnO nanobelts. Appl. Phys. Lett. 97(22), 223107 (2010). https://doi.org/10.1063/1.3522885
Y. Yang, J. Qi, Q. Liao, H. Li, Y. Wang, L. Tang, Y. Zhang, High-performance piezoelectric gate diode of a single polar-surface dominated ZnO nanobelt. Nanotechnology 20(12), 125201 (2009). https://doi.org/10.1088/0957-4484/20/12/125201
Q. Zhang, J. Qi, Y. Yang, Y. Huang, X. Li, Y. Zhang, Electrical breakdown of ZnO nanowires in metal-semiconductor-metal structure. Appl. Phys. Lett. 96(25), 253112 (2010). https://doi.org/10.1063/1.3457169
Y. Yang, J. Qi, Y. Gu, X. Wang, Y. Zhang, Piezotronic strain sensor based on single bridged ZnO wires. Phys. Status Solidi-Rapid Res. Lett. 3(7), 269–271 (2009). https://doi.org/10.1002/pssr.200903231
W. Zhang, L. Zhang, H. Gao, W. Yang, S. Wang, L. **ng, X. Xue, Self-powered implantable skin-like glucometer for real-time detection of blood glucose level in vivo. Nano-Micro Lett. 10(2), 32 (2018). https://doi.org/10.1007/s40820-017-0185-x
H. Yuan, H. Shimotani, A. Tsukazaki, A. Ohtomo, M. Kawasaki, Y. Iwasa, High-density carrier accumulation in ZnO field-effect transistors gated by electric double layers of ionic liquids. Adv. Funct. Mater. 19(7), 1046–1053 (2009). https://doi.org/10.1007/10.1002/adfm.200801633
D. Kay, D.R. Taaffe, F.E. Marino, Whole-body pre-cooling and heat storage during self-paced cycling performance in warm humid conditions. J. Sports Sci. 17(12), 937–944 (1999). https://doi.org/10.1080/026404199365326
C.J. Tyler, T. Reeve, G.J. Hodges, S.S. Cheung, The effects of heat adaptation on physiology, perception and exercise performance in the heat: a meta-analysis. Sports Med. 46(11), 1699–1724 (2016). https://doi.org/10.1007/s40279-016-0538-5
Y. Lin, P. Deng, Y. Nie, Y. Hu, L. **ng, Y. Zhang, X. Xue, Room-temperature self-powered ethanol sensing of a Pd/ZnO nanoarray nanogenerator driven by human finger movement. Nanoscale 6(9), 4604–4610 (2014). https://doi.org/10.1039/c3nr06809a
P. Wang, Y. Fu, B. Yu, Y. Zhao, L. **ng, X. Xue, Realizing room-temperature self-powered ethanol sensing of ZnO nanowire arrays by combining their piezoelectric, photoelectric and gas sensing characteristics. J. Mater. Chem. A 3(7), 3529–3535 (2015). https://doi.org/10.1039/c4ta06266c
J. Yu, Y. Zhang, S. Liu, Enzymatic reactivity of glucose oxidase confined in nanochannels. Biosens. Bioelectron. 55, 307–312 (2014). https://doi.org/10.1016/j.bios.2013.12.042
L. Viry, A. Levi, M. Totaro, A. Mondini, V. Mattoli, B. Mazzolai, L. Beccai, Flexible three-axial force sensor for soft and highly sensitive artificial touch. Adv. Mater. 26(17), 2659–2664 (2014). https://doi.org/10.1002/adma.201305064
Z. Li, R. Yang, M. Yu, F. Bai, C. Li, Z. Wang, Cellular level biocompatibility and biosafety of ZnO nanowires. J. Phys. Chem. C 112(51), 20114–20117 (2008). https://doi.org/10.1021/jp808878p
R. Gopikrishnan, K. Zhang, P. Ravichandran, S. Baluchamy, V. Ramesh et al., Synthesis, characterization and biocompatibility studies of zinc oxide (ZnO) nanorods for biomedical application. Nano-Micro Lett. 2(1), 31–36 (2010). https://doi.org/10.1016/10.1007/BF03353614
L. Guo, Y. Ji, H. Xu, P. Simon, Z. Wu, Regularly shaped, single-crystalline ZnO nanorods with wurtzite structure. J. Am. Chem. Soc. 124(50), 14864–14865 (2002). https://doi.org/10.1021/ja027947g
J. Lao, J. Huang, D. Wang, Z. Ren, ZnO nanobridges and nanonails. Nano Lett. 3(2), 235–238 (2003). https://doi.org/10.1021/nl025884u
W. Zang, Y. Nie, D. Zhu, P. Deng, L. **ng, X. Xue, Core-shell In2O3/ZnO nanoarray nanogenerator as a self-powered active gas sensor with high H2S sensitivity and selectivity at room temperature. J. Phys. Chem. C 118(17), 9209–9216 (2014). https://doi.org/10.1021/jp500516t
Y. Zhao, P. Deng, Y. Nie, P. Wang, Y. Zhang, L. **ng, X. Xue, Biomolecule-adsorption-dependent piezoelectric output of ZnO nanowire nanogenerator and its application as self-powered active biosensor. Biosens. Bioelectron. 57, 269–275 (2014). https://doi.org/10.1016/j.bios.2014.02.022
X. Li, C. Shen, Q. Wang, C. Luk, B. Li, J. Yin, S. Lau, W. Guo, Hydroelectric generator from transparent flexible zinc oxide nanofilms. Nano Energy 32, 125–129 (2017). https://doi.org/10.1016/j.nanoen.2016.11.050
A.A. Kornyshev, Double-layer in ionic liquids: paradigm change? J. Phys. Chem. B 111(20), 5545–5557 (2007). https://doi.org/10.1021/jp067857o
D.R. MacFarlane, N. Tachikawa, M. Forsyth, J.M. Pringle, P.C. Howlett et al., Energy applications of ionic liquids. Energy Environ. Sci. 7(1), 232–250 (2014). https://doi.org/10.1039/c3ee42099j
J. Sun, P. Li, J. Qu, X. Lu, Y. **e et al., Electricity generation from a Ni-Al layered double hydroxide-based flexible generator driven by natural water evaporation. Nano Energy 57, 269–278 (2019). https://doi.org/10.1016/j.nanoen.2018.12.042
T. Ding, K. Liu, J. Li, G. Xue, Q. Chen, L. Huang, B. Hu, J. Zhou, All-printed porous carbon film for electricity generation from evaporation-driven water flow. Adv. Funct. Mater. 27(22), 1700551 (2017). https://doi.org/10.1002/adfm.201700551
G. Xue, Y. Xu, T. Ding, J. Li, J. Yin et al., Water-evaporation-induced electricity with nanostructured carbon materials. Nat. Nanotechnol. 12(4), 317–321 (2017). https://doi.org/10.1038/NNANO.2016.300
Acknowledgements
This work was supported by the National Natural Science Foundation of China (11674048), and Sichuan Science and Technology Program (20JCQN0201).
Author information
Authors and Affiliations
Corresponding authors
Electronic supplementary material
Below is the link to the electronic supplementary material.
Supplementary material 2 (MP4 1103 kb)
Supplementary material 3 (MP4 17255 kb)
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Zhang, W., Guan, H., Zhong, T. et al. Wearable Battery-Free Perspiration Analyzing Sites Based on Sweat Flowing on ZnO Nanoarrays. Nano-Micro Lett. 12, 105 (2020). https://doi.org/10.1007/s40820-020-00441-1
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s40820-020-00441-1