Article
Chemistry, Physical
Mohammed A. Adly, Mustafa H. Arafa, Hesham A. Hegazi
Summary: This paper investigates the application of the triboelectric effect in an inertial motion sensor, developing a theoretical model and experimental device. Through parametric studies and optimization techniques, the device performance was improved and the effectiveness of the optimization techniques was demonstrated.
Article
Engineering, Environmental
Yuxuan Wu, Xiuju Cui, Hanguang Wu, Zhiqiang Su
Summary: An all-polymeric stretchable FTENG (PEDOT/FSiR-FTENG) with high triboelectric outputs is fabricated using a simple rolling method and applied in human active motions monitoring.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Chemistry, Physical
Zhenyuan Xu, Dongzhi Zhang, Haolin Cai, Yan Yang, Hao Zhang, Chen Du
Summary: In this study, a hybrid mode TENG that improves the output power of independent mode TENGs is proposed. The hybrid TENG integrates CS-TENG and LS-TENG and can reach a peak-to-peak open circuit voltage of 1169 V and a unidirectional short-circuit current of 187 mu A. Self-powered human motion sensors based on CS-TENG are designed for detecting finger bending, gait, and somatic joint bending signals.
Article
Chemistry, Physical
Zhihao Li, Xiaoli Wang, Tie Fu, Yanqiang Hu, Lizhou Li, Zirui Zhao, Liyan Wu, Chenfei Wang, Shuaishuai Zhang
Summary: This study investigates the use of BaTiO3/polyimide (BTO/PI) nanocomposite films and lubricants to improve the tribological and electrification performance of the triboelectric speed sensor (TSS). A nano-film composite lubricated TSS (NFCL-TSS) is constructed and integrated with a bearing. The results show that the NFCL-TSS has lower mass loss, higher electrical output and stability compared to the TSS with pure PI under dry conditions, and can effectively monitor bearing skidding.
Review
Engineering, Electrical & Electronic
Jiseok Kim, Orkhan Gulahmadov, Mustafa B. Muradov
Summary: Triboelectric generators (TEGs) can harvest energy from human motions to provide electric power for electronic devices. Introducing micro- and nano-structures on the surface of TEGs can significantly enhance their output performance.
JOURNAL OF MATERIALS SCIENCE-MATERIALS IN ELECTRONICS
(2021)
Article
Biochemical Research Methods
Junjie Yu, Xiaoxiang Wei, Yuanchao Guo, Ziwei Zhang, Pinshu Rui, Yan Zhao, Wen Zhang, Shiwei Shi, Peihong Wang
Summary: The proposed self-powered droplet manipulation system (SDMS) can achieve various droplet operations including moving, splitting, merging, mixing, transporting chemicals, and reacting. By utilizing different technologies such as electrowetting-on-dielectric (EWOD) and dielectrophoresis (DEP), the system can accurately control and separate droplets, showing promising applications in drug delivery, micro chemical reactions, and biological microanalysis.
Article
Chemistry, Multidisciplinary
Shanshan An, Xianjie Pu, Shiyi Zhou, Yihan Wu, Gui Li, Pengcheng Xing, Yangsong Zhang, Chenguo Hu
Summary: The state of neck motion is crucial for cervical health, and detecting it is of great significance in healthcare intelligence. This study presents a wearable, flexible, power efficient, and low-cost neck motion detector using a self-powered triboelectric sensor group and a deep learning block. The sensors, integrated on a neck collar, produce different voltage signals to represent various neck motions. A carbon-doped silicon rubber layer is used to shield external electric fields for more robust identification. The developed deep learning model achieves an average recognition accuracy of 92.63% for 11 classes of neck motion. This neck motion detector has promising applications in neck monitoring, rehabilitation, and control.
Article
Chemistry, Physical
Xiaosong Zhang, Hengyu Li, Qi Gao, Zitang Yuan, Siyang He, Xin Yu, Zhong Lin Wang, Tinghai Cheng
Summary: A linear and rotary coupled-motion triboelectric mechanical motion sensor (LRC-TMMS) with a gear-like engagement electrode (GE-electrode) is proposed for the simultaneous monitoring of linear-rotary multi-motion. The GE-electrode enables the measurement of displacement and velocity of the linear and rotary motions, and the signal processing method of fundamental frequency separation allows distinguishing between linear, rotary, and helical motions of the LRC-TMMS. Experimental results demonstrate stable monitoring performance and good linearity in different motions, with most error rates below 3%. The practical monitoring performance of the LRC-TMMS is verified using a commercial linear-rotary motor, indicating potential applications in intelligent manipulation and automated manufacturing.
Article
Chemistry, Physical
Qianqian Zhu, Weiqiang Liao, Cong Sun, Xuan Qin, Fangjia Zhang, Haifeng Ji, Yuqi Li, Zhen Wen, Xuhui Sun
Summary: This study proposes a thermally stable and stretchable ionogel-based triboelectric nanogenerator (SI-TENG) for biomechanical energy collection. The SI-TENG exhibits high temperature stability, stretchability, and washability, and the output performance can be further improved by adding nano SiO2 to the triboelectric layer. It can be used as a self-powered motion sensor to detect the amplitude and frequency changes of finger bending, human swallowing, nodding, and shaking of the head.
Article
Chemistry, Physical
Yan Meng, Jiayi Yang, Shuangshuang Liu, Wei Xu, Guobin Chen, Zihao Niu, Meiqi Wang, Tao Deng, Yong Qin, Mengdi Han, Xiuhan Li
Summary: Rail fasteners are crucial components for railway tracks, and regular inspection is important for safe operation. To establish a real-time and efficient rail fastener tightness safety detection system, a self-powered vibration sensor based on electrospinning nanofibers is proposed. It can collect vibration energy and accurately identify the tightness of rail fasteners.
Article
Chemistry, Physical
Aravind Narain Ravichandran, Frederic Depoutot, Elias Kharbouche, Marc Hamand, Marc Ramuz, Sylvain Blayac
Summary: The study presents a multilayer integrated TENG structure with high output power density suitable for small-scale electronics. The system includes a sliding-based TENG power source to drive an e-ink display application, demonstrating TENG's potential for the next generation of autonomous electronic and wireless devices.
Review
Chemistry, Analytical
Linjie Yao, He Zhang, Jiqing Jiang, Zhicheng Zhang, Xianglong Zheng
Summary: This paper provides a comprehensive review of the recent advances in triboelectric nanogenerators (TENGs) as sensors for dynamic behaviors, focusing on the effects of structure and materials on their performance. Through different structure designs, fabrication of new materials, and surface engineering techniques, TENG-based sensors have been widely developed for various applications, and are believed to become the mainstream sensors for dynamic sensing.
Article
Engineering, Mechanical
Shun Li, Jingui Qian, Jiaming Liu, Yuhang Xue, Junjie Zhang, Yansong Liu, Xuefeng Hu, Xingjian Jing, Wei Zhang
Summary: This research developed a portable and reproducible triboelectric-electromagnetic vibration sensor that aims to achieve highly sensitive detection and rapid identification of human motion for real-time monitoring of patient rehabilitation diagnosis and treatment. The ingenious mechanical design of the sensor improves capture efficiency of weak motion while reducing wear and increasing device lifespan.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Chemistry, Physical
Sontyana Adonijah Graham, Seneke Chamith Chandrarathna, Harishkumarreddy Patnam, Punnarao Manchi, Jong-Wook Lee, Jae Su Yu
Summary: The article discusses the development of a smart-home-applicable TENG using plastic and electronic waste commonly found in homes, which can provide renewable energy for various devices and has the capability to be integrated into smart-home systems. The TENG device demonstrates good electrical performance and can be used for self-charging energy storage systems and motion sensors in addition to powering portable electronics.
Article
Chemistry, Physical
Yuecong Luo, Maolin Yu, Yutong Zhang, Yuanyuan Wang, Lan Long, Haihu Tan, Na Li, Lijian Xu, Jianxiong Xu
Summary: This article introduces a fully physical crosslinked PVA/P(AM-co-AA)-Fe3+ double-network hydrogel with excellent mechanical properties and adhesion, as well as its applications in strain sensors and TENGs. The prepared hydrogel has great potential in wearable electronic devices, human-health care, and energy harvesting systems.
Article
Chemistry, Multidisciplinary
Shengshun Duan, Qiongfeng Shi, Jianlong Hong, Di Zhu, Yucheng Lin, Yinghui Li, Wei Lei, Chengkuo Lee, Jun Wu
Summary: This article introduces an electronic skin (e-skin) that mimics the physical-chemical and sensory properties of human skin, showing promise for use in robotic skins and skin-attachable wearables with multisensory functionalities. Most e-skins developed so far focus on simulating only the sensory functions of human skin, while this advanced e-skin, called Hygel e-skin, covers both sensory and physical-chemical properties. The Hygel e-skin demonstrates desirable characteristics such as stretchability, self-healing, biocompatibility, biodegradability, weak acidity, antibacterial activities, flame retardance, temperature adaptivity, function reconfigurability, and evolvability. It is applied as an on-robot e-skin and skin-attached wearable, exhibiting highly skin-like attributes in capturing multiple sensory information and enabling real-time gesture recognition through deep learning. This Hygel e-skin holds potential for applications in advanced robotics and as a skin-replaceable artificial skin.
Article
Chemistry, Multidisciplinary
Chengkuo Lee, Jingkai Zhou, Zixuan Zhang, Bowei Dong, Zhihao Ren, Weixin Liu
Summary: This article introduces an artificial intelligence-enhanced metamaterial waveguide sensing platform for the analysis of aqueous mixtures in the mid-infrared spectrum. With this platform, the absorption spectra of ternary mixtures in water can be successfully distinguished and decomposed to predict concentration. Additionally, accurate classification of 64 mixing ratios and four concentrations (below the detection limit of 972 ppm) with a classification accuracy of 98.88% and 92.86% respectively, as well as concentration prediction with root-mean-squared error ranging from 0.107% to 1.436%, are achieved. This research demonstrates the potential of further extending this sensing platform to a mid-infrared spectrometer-on-chip for data analytics of multiple organic components in aqueous environments.
Review
Chemistry, Analytical
Tianyiyi He, Feng Wen, Yanqin Yang, Xianhao Le, Weixin Liu, Chengkuo Lee
ANALYTICAL CHEMISTRY
(2023)
Article
Optics
Jingxuan Wei, Yang Chen, Ying Li, Wei Li, Junsheng Xie, Chengkuo Lee, Kostya S. Novoselov, Cheng-Wei Qiu
Summary: This study presents a novel approach for circularly polarized light detection in the mid-infrared region, using geometric photodetectors and graphene ribbons. It offers a high-quality, filterless solution for on-chip CPL detection.
Review
Chemistry, Physical
Yanqin Yang, Xinge Guo, Minglu Zhu, Zhongda Sun, Zixuan Zhang, Tianyiyi He, Chengkuo Lee
Summary: This review presents the advancements of TENG-based electronics in areas such as materials, hybridization, systems integration, and applications in healthcare, environment monitoring, transportation, and smart homes. TENG technology, with its self-powered, cost-effective, and highly customizable advantages, is considered one of the most promising technologies for the development of Internet of Things/5G infrastructure.
ADVANCED ENERGY MATERIALS
(2023)
Article
Multidisciplinary Sciences
Jianxiong Zhu, Shanling Ji, Zhihao Ren, Wenyu Wu, Zhihao Zhang, Zhonghua Ni, Lei Liu, Zhisheng Zhang, Aiguo Song, Chengkuo Lee
Summary: We propose a synergistic methodology of artificial intelligence-enhanced ion mobility and mid-infrared spectroscopy, which achieves high accuracy in isopropyl alcohol identification and gas concentration prediction by leveraging the complementary features from sensing signals in different dimensions.
NATURE COMMUNICATIONS
(2023)
Article
Materials Science, Multidisciplinary
Junsheng Xie, Zhihao Ren, Jingxuan Wei, Weixin Liu, Jingkai Zhou, Chengkuo Lee
Summary: Graphene has been widely studied for its potential in long-wave infrared spectroscopy and polarimetric sensing. However, its low photoresponsivity and weak absorption have limited its sensing performance. In this study, nanoantenna-mediated graphene photodetectors are proposed to enhance responsivity, achieve polarization detection, and enable molecule sensing.
ADVANCED OPTICAL MATERIALS
(2023)
Review
Materials Science, Multidisciplinary
Zian Xiao, Weixin Liu, Siyu Xu, Jingkai Zhou, Zhihao Ren, Chengkuo Lee
Summary: As an integrated technology, photonic integrated circuits (PICs) have great potential in data processing, communication, and sensing applications due to their high speed and low power consumption. Silicon photonics, with its mature CMOS process, is considered a promising solution for PICs. However, there is still a need for further development to enable more powerful chip-scale systems and new functionalities.
ADVANCED OPTICAL MATERIALS
(2023)
Article
Optics
Cheng Xu, Zhihao Ren, Hong Zhou, Jingkai Zhou, Chong Pei Ho, Nan Wang, Chengkuo Lee
Summary: Researchers have developed an enhanced vibrational circular dichroism (VCD) sensing platform based on plasmonic chiral metamaterials, which enables the detection of chiral mixtures with improved sensitivity. The chiral metamaterials design improves the interaction between light and chiral molecules, leading to enhanced molecular VCD signals. This study expands the applications of chiral molecule detection and offers a label-free, compact, and small-volume detection method for stereochemical and clinical diagnosis.
LIGHT-SCIENCE & APPLICATIONS
(2023)
Article
Biochemical Research Methods
Philippe Vachon, Srinivas Merugu, Jaibir Sharma, Amit Lal, Eldwin J. Ng, Yul Koh, Joshua E. -Y. Lee, Chengkuo Lee
Summary: This study presents microfabricated piezoelectric thin film membranes made via silicon diffusion for guided flexural wave generation as promising acoustofluidic actuators with low frequency, voltage, and power requirements. The guided wave propagation can be dynamically controlled to tune and confine the induced acoustofluidic radiation force and streaming. The membrane acoustic waveguide actuators offer a promising pathway for acoustofluidic applications such as biosensing, organoid production, and in situ analyte transport.
Review
Chemistry, Physical
Zixuan Zhang, Xinmiao Liu, Hong Zhou, Siyu Xu, Chengkuo Lee
Summary: Machine-learning-enhanced nanosensors show great potential in the field of sensor technology due to their adaptive and predictive capabilities. This paper reviews the advancements in cloud computing, edge computing, and neuromorphic computing, and provides a perspective on the future of machine-learning-enhanced nanosensors.
Article
Chemistry, Multidisciplinary
Cheng Xu, Zhihao Ren, Hong Zhou, Jingkai Zhou, Dongxiao Li, Chengkuo Lee
Summary: This study investigates the impact of near-field coupling on the chirality response of chiral metamaterials. It is observed that strong near-field coupling induces less chiral response, providing evidence for the assumption. The study also demonstrates the use of enhanced near-field coupling for glucose enantiomer sensing and explores the potential of using arrayed metamaterials for broadband signal detection.
ADVANCED FUNCTIONAL MATERIALS
(2023)
Article
Multidisciplinary Sciences
Hong Zhou, Zhihao Ren, Dongxiao Li, Cheng Xu, Xiaojing Mu, Chengkuo Lee
Summary: The failure of molecular identification due to the overlap of infrared vibrational fingerprints is a fundamental issue in infrared spectroscopy. This study investigates the coupling mode of localized surface plasmon and surface phonon polaritons to disentangle overlapping vibrational modes. The researchers find that the refractive index dependence of surface phonon polaritons vibrations effectively achieves high identification accuracy for strongly overlapping vibrational modes.
NATURE COMMUNICATIONS
(2023)
Article
Chemistry, Multidisciplinary
Manjuan Huang, Minglu Zhu, Xiaowei Feng, Zixuan Zhang, Tianyi Tang, Xinge Guo, Tao Chen, Huicong Liu, Lining Sun, Chengkuo Lee
Summary: The development of a smart city is greatly facilitated by the evolution of artificial intelligence of things (AIoT), and the iCUPE intelligent piezoelectric AIoT node presented in this study integrates energy harvesting and self-powered sensing modules to effectively respond to vibrational energy sources from different directions. The intelligent sensor using machine learning achieves accurate vibration recognition and provides multifunctional accelerometer and gyroscope functions. This research demonstrates the importance of wireless sensor networks in the construction of smart cities.
