Review
Chemistry, Multidisciplinary
Jianjun Luo, Wenchao Gao, Zhong Lin Wang
Summary: In the new era of the Internet-of-Things, the development of intelligent sports relies heavily on athletic big data collection and analysis using widely distributed sensing networks. The triboelectric nanogenerator (TENG) has shown great potential in overcoming limitations of conventional sensors with its mechanical energy harvesting and self-powered sensing technology, fabricated using common materials like wood and paper. Progress on TENG-based sports sensing systems, including smart sports facilities and wearable equipment, as well as the remaining challenges and open opportunities in the field of intelligent sports, are summarized.
ADVANCED MATERIALS
(2021)
Review
Nanoscience & Nanotechnology
Mylan Mayer, Xiao Xiao, Junyi Yin, Guorui Chen, Jing Xu, Jun Chen
Summary: Triboelectric nanogenerators (TENGs) have gained popularity in harvesting mechanical energy due to their simple design and cost-effectiveness. Bioinspired TENGs, inspired by nature's unique qualities, offer higher efficiency and more capabilities. This review covers recent advances in TENGs that utilize inspiration or novel materials from nature for various applications, discussing their source of inspiration, problems addressed, and output parameters.
ADVANCED ELECTRONIC MATERIALS
(2022)
Review
Materials Science, Multidisciplinary
Wei Wang, Aifang Yu, Junyi Zhai, Zhong Lin Wang
Summary: This review comprehensively introduces the recent progress of smart fibers and textiles with a highlight on triboelectric nanogenerators, including the general materials and structures, various fiber and textile devices for energy harvesting and self-powered smart sensing systems. The advances of f/t-TENGs with multifunctionality and large-scale textile processing techniques are summarized as well. Finally, the challenges and perspectives of f/t-TENGs for future improvement, large-scale production, and emerging applications are thoroughly discussed.
ADVANCED FIBER MATERIALS
(2021)
Review
Chemistry, Physical
Haobin Wang, Mengdi Han, Yu Song, Haixia Zhang
Summary: TENGs, as a new wearable technology that can convert low-frequency mechanical energy into electricity, have advantages in capturing human motion energy, driving wearable devices, and extracting output signal information. Wearable TENGs play important roles in the era of smart Internet of Things, mainly used in sensors, actuators, and human-machine interfaces. The technology has made progress in performance and process levels, with concrete prospects to further enter the market and serve the general public.
Article
Chemistry, Multidisciplinary
Yuan Liu, Baodong Chen, Wei Li, Lulu Zu, Wei Tang, Zhong Lin Wang
Summary: This study introduces a new technology - the triboelectric soft robot system, which uses mechanical energy as a power source and achieves crawling on different surfaces and slopes at maximum speed. The experiment also demonstrates the successful real-time image transmission in a narrow tunnel, potentially enabling fast diagnosis in inaccessible areas in the future.
ADVANCED FUNCTIONAL MATERIALS
(2021)
Article
Chemistry, Multidisciplinary
Zhaozheng Wang, Zhi Zhang, Yunkang Chen, Likun Gong, Sicheng Dong, Han Zhou, Yuan Lin, Yi Lv, Guoxu Liu, Chi Zhang
Summary: This research proposes a semiconductor DC triboelectric nanogenerator (SDC-TENG) using gallium nitride/silicon (GaN/Si) heterojunction, which has ultrahigh voltage and power density. The SDC-TENG can maintain high output voltage at different speeds, has great durability, and performs significantly better than traditional polymer TENGs.
ENERGY & ENVIRONMENTAL SCIENCE
(2022)
Review
Chemistry, Physical
Yiding Song, Nan Wang, Chaosheng Hu, Zhong Lin Wang, Ya Yang
Summary: The soft triboelectric nanogenerator (TENG) is a promising technology that efficiently utilizes ambient mechanical energy for self-powered operation and sensing. By integrating soft materials and deformable design, it expands the application scenarios of TENG.
Review
Chemistry, Physical
R. L. Bulathsinghala, W. Ding, R. D. I. G. Dharmasena
Summary: Wearable sensing is a rapidly growing field with great potential in lifestyle, sports & fitness, and healthcare applications. Triboelectric Nanogenerators (TENGs), which convert body movements into electrical pulses, are considered a crucial component for the next generation of wearable technologies. TENGs offer self-powered sensing and energy harvesting capabilities, with high instantaneous electrical outputs, low cost, flexibility, and comfort.
Article
Materials Science, Multidisciplinary
Hassan Askari, Nan Xu, Bruno Henrique Groenner Barbosa, Yanjun Huang, Longping Chen, Amir Khajepour, Hong Chen, Zhong Lin Wang
Summary: This article discusses the development of self-powered intelligent sensing systems by combining nanogenerators and intelligent systems, exploring key keywords, concepts, challenges, and providing a detailed review of different intelligent self-powered sensing systems.
Article
Chemistry, Multidisciplinary
Zhihao Yuan, Xu Jin, Ruonan Li, Baocheng Wang, Chengcheng Han, Yapeng Shi, Zhiyi Wu, Zhong Lin Wang
Summary: The article introduces a new method for collecting energy using a magnetic energy harvesting system, which achieves energy conversion and transmission through the interaction of triboelectric and electromagnetic energy. Through experiments, charging and power supply are achieved, and a wireless early warning system is also realized.
Article
Materials Science, Multidisciplinary
Wei Yuan, Chuguo Zhang, Baofeng Zhang, Xuelian Wei, Ou Yang, Yuebo Liu, Lixia He, Shengnan Cui, Jie Wang, Zhong Lin Wang
Summary: This study presents a multifunctional wearable triboelectric nanogenerator with flexibility, excellent water resistance, and air permeability for practical applications. The device can harvest human mechanical energy and raindrop energy to power wearable electronic devices, providing a practical strategy for designing self-powered wearable electronics.
ADVANCED MATERIALS TECHNOLOGIES
(2022)
Review
Chemistry, Multidisciplinary
Luyun Liu, Mengjie Wu, Weitao Zhao, Jin Tao, Xinran Zhou, Jiaqing Xiong
Summary: This review summarizes the latest research progress of achieving triboelectric nanogenerators (TENGs) with high environmental adaptivity in three representative application fields. It highlights insights in terms of material selection, structural design, preparation technology, working mode, and integration strategy. The future development of TENGs would be focused on creating dynamic devices with multifunctionality, high stability, autonomous response, and actuation ability to adapt to complex application environments.
ADVANCED FUNCTIONAL MATERIALS
(2023)
Article
Multidisciplinary Sciences
Jesper Edberg, Mohammad Yusuf Mulla, Omid Hosseinaei, Naveed ul Hassan Alvi, Valerio Beni
Summary: Triboelectric nanogenerators (TENGs) are a new type of energy harvesting devices that can extract energy from mechanical sources such as wind and water. Compared to current renewable energy technologies, TENGs offer more versatile material options for construction, making them more sustainable and environmentally friendly.
Article
Engineering, Environmental
Yin Lu, Qinghao Qin, Jiajing Meng, Yajun Mi, Xueqing Wang, Xia Cao, Ning Wang
Summary: Functional materials with high dielectric constant are widely used in energy conversion and storage. Here, the researchers synthesized CaCu3Ti4O12@BaTiO3 (CCTO@BT) for developing a composite sponge with high flexibility and charge trapping capability. The polymeric sponge TENG showed significantly enhanced performance and acted as a self-powered sensor for human motion monitoring. This work provides new insight into the potential of dielectric-modulated output enhancement strategy for TENG in energy harvesting and biophysical monitoring.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Chemistry, Applied
Fengxin Sun, Yongsheng Zhu, Changjun Jia, Tianming Zhao, Liang Chu, Yupeng Mao
Summary: The new era of the internet of things brings great opportunities to the field of intelligent sports. Triboelectric nanogenerators (TENGs) can collect and convert energy as self-powered sensors, driving the development of self-powered sports monitoring sensors in various areas of sports. However, there are still challenges to be overcome in terms of device stability, material sustainability, design rationality, and comprehensive data collection. This work has practical significance to the current and future applications of TENGs in sports monitoring, and TENG-based sensing technology holds a promising future in the field of intelligent sports.
JOURNAL OF ENERGY CHEMISTRY
(2023)
Article
Chemistry, Physical
Yang Ge, Lingxiu Chen, Chengxin Jiang, Jianlong Ji, Qiuyun Tan, Douxing Pan, Wendong Zhang, Riguang Zhang, Eli Janzen, James H. Edgar, Shengbo Sang, Haomin Wang
Summary: In this study, triangular zigzag-edged graphene nanoflakes (GNFs) were successfully synthesized and found to exhibit high magnetization. Density functional theory calculations revealed that this magnetic property is a result of superexchange interactions among unpaired electrons at the zigzag C-BN interface. This research provides a promising platform for experimentally achieving GNFs with high electron spin states.
Article
Engineering, Electrical & Electronic
Xiaoxia Chu, Jiangong Cui, Min Zhu, Bofeng Wu, Guojun Zhang, Renxin Wang, Wendong Zhang, Yuhua Yang, Yongfeng Ren
Summary: Due to its high sensitivity and anti-electromagnetic interference, photoacoustic sensor has become a research hotspot in the field of acoustic sensing. A novel high-Q grooved silica waveguide acoustic sensor (GSWAS) is proposed, which is etched and filled with Polydimethylsiloxane (PDMS) above the waveguide coupling region. The sensor achieves a Q factor of 1.82 x 10(6). By using Pound-Drever-Hall (PDH) frequency locking technology, an acoustic sensing system is built to detect the sound signal easily and intuitively. The sensor has a flat response in the frequency range of 0.4-15 kHz, with a high sensitivity of 1143 mV/Pa and a signal-to-noise ratio (SNR) of up to 45.19 dB under the action of an 8 kHz acoustic signal. This article explores a new method of frequency bandwidth and high sensitivity sound detection, laying a foundation in the field of acoustic signal detection such as aeroacoustics and photoacoustic imaging.
IEEE SENSORS JOURNAL
(2023)
Article
Horticulture
Wendong Zhang, Yiman Li, Yaliang Xu, Yinjian Zheng, Binbin Liu, Qingming Li
Summary: Alternate drip irrigation with moderate nitrogen fertilization can improve cucumber yield and enhance photosynthetic performance, while reducing nitrite content in fruit.
SCIENTIA HORTICULTURAE
(2023)
Article
Environmental Sciences
Shan Zhu, Guojun Zhang, Daiyue Wu, Li Jia, Yifan Zhang, Yanan Geng, Yan Liu, Weirong Ren, Wendong Zhang
Summary: Ship noise observation is important for marine environment research and national defense security. This paper introduces a high Signal-to-Noise Ratio (SNR) MEMS noise listener for ship noise detection, which achieves considerable gain by suppressing isotropic noise in the ocean. Experimental results demonstrate the listener's effectiveness in detecting ship noise, indicating its broad application prospect in the field of low-noise ship observation.
Article
Chemistry, Analytical
Lixia Cheng, Xiaojian Hao, Guochang Liu, Wendong Zhang, Jiangong Cui, Guojun Zhang, Yuhua Yang, Renxin Wang
Summary: In this study, a flexible pressure sensor based on silicon nanomembranes was developed, which showed high sensitivity and a wide pressure range. The sensor could recognize human movements and maintain stable output, making it promising for various applications.
Article
Engineering, Electrical & Electronic
Sai Zhang, Wei Lu, Yuhua Yang, Renxing Wang, Guojun Zhang, Baiqiang Xu, Mehmet Yilmaz, Wendong Zhang
Summary: In this work, comb-like shaped capacitive micro-machined ultrasonic transducers (CMUTs) were developed for sensing in-plane vibrations. An analytical small-signal model combining forced vibration theory and simplified parallel-plate capacitor model was proposed to predict the in-plane-sensing behaviors of a comb-like CMUT cell. The model was found to agree well with finite element method (FEM) simulations, and further improvements were suggested. The work provides insights into designing comb-like CMUTs and the conditions for accurate analysis.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Li Jia, Guojun Zhang, Shan Zhu, Daiyue Wu, Weirong Ren, Yanan Geng, Yan Liu, Wendong Zhang
Summary: This article proposed a novel modified wavelet packet (WP) de-noising method called the WP energy (WPE) de-noising method to improve the detection efficiency and broaden the application range of vector hydrophones. The method utilizes Shannon entropy to determine the optimal decomposition levels of WPs and calculates the energy of reconstructed signals in each frequency band to construct feature vectors. The experimental results demonstrate that the developed method effectively estimates the direction of arrival (DOA) of single-frequency signals and is feasible in low signal-to-noise ratio (SNR) situations, improving azimuth discrimination ability and keeping DOA estimation errors within 1 degree.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Yongjiao Sun, Yuchen Hou, Shizhen Wang, Bingliang Wang, Koichi Suematsu, Wendong Zhang, Jie Hu
Summary: In this study, the fabrication process and gas sensing performance of urchin-like Au decorated SnO2/Fe2O3 microspheres were presented. The hierarchical structure of SnO2/Fe2O3 was constructed using Fe2O3 microspheres as a precursor and in-suit growth of SnO2 micropillars. Au nanoparticles were further added to enhance the sensing performance. By modulating the loading amounts of Au nanoparticles, the heterojunctions between SnO2 and Fe2O3 and the sensitization of Au nanoparticles were achieved, leading to improved sensing properties. The sensor with 1wt% Au nanoparticles showed the best performance, with high response, rapid response/recovery time, good linearity, low limit of detection, and excellent selectivity and stability.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Civil
Xingling Shao, Shixiong Li, Wendong Zhang, Edmond Q. Wu
Summary: This paper proposes an observation solution using low-budgeted mobile robots to efficiently collect multi-dimensional information of traffic accidents with high dangers. At the kinematic level, a relative position estimator is constructed utilizing available distance data, removing the dependency of using global position. At the kinetic level, a new fuel-saving uncertainty mitigation scheme is developed in velocity and angular rate subsystems to reconstruct uncertainties with a prescribed decaying rate, with the feature of reduced transmission load and concise structure. An event-triggered robust kinetic control protocol is synthesized to achieve accurate command tracking without incurring Zeno behaviors. The convergence of the entire system is illustrated through the input-to-state stable (ISS) criterion, and simulation results testify the effectiveness of the proposed method.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Lei Wang, Guanzhang Liu, Jiang Xue, Kat-Kit Wong
Summary: This paper proposes an efficient channel prediction method in MIMO systems, named GPODE, which combines genetic programming (GP) with higher-order differential equation (HODE) modeling for prediction. The method describes the variation of one-dimensional data using higher-order differential and models the differential data using GP to obtain an explicit model. It also introduces an effective prediction interval and incorporates the rough prediction results of AR model for improved accuracy. Experimental results using the CDL channel model validate the higher accuracy of the proposed method compared to traditional prediction methods.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Chemistry, Physical
Zhiliang Hou, Xuebiao Li, Xinru Zhang, Wendong Zhang, Zhong Lin Wang, Hulin Zhang
Summary: This study reports a bioinspired sensor and actuator created using a conformable electrode interface on a Venus flytrap. The conformable electrode, with an adhesive hydrogel layer, has low impedance, stretchability, biocompatibility, reusability, and transparency for normal chlorophyll activity. By capturing the stimulated action potential signals from the upper epidermis of flytraps, a plant sensor matrix has been demonstrated, which can guide honeybees by touch during nectar collection. Furthermore, autonomous on-demand actuation on a flytrap is achieved through frequency-dependent action potential modulation triggered by a triboelectric nanogenerator.
Article
Instruments & Instrumentation
Zhenzhen Shang, Libo Yang, Wendong Zhang, Guojun Zhang, Xiaoyong Zhang, Hairong Kou, Junbing Shi, Xin Xue
Summary: This paper proposes a combined noise reduction algorithm and MEMS vector hydrophone DOA estimation algorithm based on singular value decomposition (SVD), variational mode decomposition (VMD), and wavelet threshold denoising (WTD) to solve the problem of strong noise interference affecting DOA estimation. Simulation and field experiments results show that the algorithm has good noise reduction and baseline drift correction effects for nonstationary underwater signals, and high-precision azimuth estimation is realized.
Article
Chemistry, Analytical
Yongjiao Sun, Baoxai Wang, Shuaiwei Liu, Zhenting Zhao, Wenlei Zhang, Wendong Zhang, Koichi Suematsu, Jie Hu
Summary: The fabrication and investigations of a novel NO2 gas sensor based on a 1T and 2H mixed phase WS2 quantum dots (QDs) modified MOF-derived hollow In2O3 (WS2 QDs@In2O3) heterostructure were documented. The proposed gas sensor based on WS2 QDs@In2O3 hollow hexagonal prisms was simple, sensitive, cost-effective and worked at room temperature (25 +/- 2 degrees C). The response value of 3 wt% WS2 QDs@In2O3 (W3In) towards 100 ppm NO2 could reach to 2034, which was an ultra-high value and almost 7.7 times higher than that of pure In2O3. Besides, our sensor showed excellent selectivity to NO2 and could detect concentration down to 100 ppb. The enhanced NO2 sensing performance was observed due to the synergistic effect between WS2 and In2O3. Furthermore, the compensation response values to NO2 based on the response to water vapor under different humidity of W3In were calculated and their fluctuations are within 7.8 % compared with the response under 25 % RH, which could provide a new strategy for accurately detecting NO2.
SENSORS AND ACTUATORS B-CHEMICAL
(2023)
Article
Chemistry, Analytical
Yongjiao Sun, Bingliang Wang, Zhiyuan Lu, Wenlei Zhang, Wendong Zhang, Koichi Suematsu, Jie Hu
Summary: In this study, we fabricated Pd-loaded Co3O4/In2O3 hollow microtubes heterostructures, which show promising potential for detecting trace toluene gas in humid atmosphere. Through characterization and analysis, we confirmed the morphology of the hollow microtubes, structure of the heterojunctions, and the influence of components and Pd NPs loading on gas sensing performance. The Pd@Co3O4/In2O3 (PdCoIn-2) sensor exhibited high responses, low limit of detections, fast response and recovery times, excellent selectivity, repeatability, and long-term stability, making it an efficient sensor for toluene detection.
SENSORS AND ACTUATORS B-CHEMICAL
(2023)
Article
Engineering, Electrical & Electronic
Jintao Zhang, Xingling Shao, Wendong Zhang, Jing Na
Summary: This article proposes a path-following control method that enhances transient performances for networked mobile robots traveling over a single curve. By using a coordinated error based on projective arc length, a path-following controller is designed for multiple robots, achieving a queue formation pattern with equal arc spacing at a uniform velocity. Additionally, a tracking differentiator-based prescribed performance control scheme is proposed to enforce tracking deviations of geometric and dynamic objectives before a specified time. The developed scheme allows for cooperative behavior over a general curve and arbitrary designation of desired settling time for each robot, while ensuring convergence of all error variables.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
