Review
Chemistry, Physical
Yitong Wang, Zihua Li, Hong Fu, Bingang Xu
Summary: This article summarizes and discusses the design, fabrication, evaluation, and application of sustainable triboelectric nanogenerators (TENGs) based on recyclable materials. By using recycled materials to manufacture TENGs, it can overcome the material limitations and generate sustainable and renewable energy from waste materials.
Article
Chemistry, Multidisciplinary
Zichao Deng, Liang Xu, Huaifang Qin, Xianye Li, Jizhou Duan, Baorong Hou, Zhong Lin Wang
Summary: This article demonstrates a high-performance triboelectric nanogenerator that effectively harnesses water-current energy. The researchers introduce novel structures and mechanisms to ensure efficient operation even in deep water. The flexible triboelectric surface can be attached to various surfaces or used independently for sensing and power supply, showing great potential for water-current energy utilization.
ADVANCED MATERIALS
(2022)
Article
Chemistry, Physical
Yaqian Liu, Enlong Li, Yujie Yan, Zenan Lin, Qizhen Chen, Xiumei Wang, Liuting Shan, Huipeng Chen, Tailiang Guo
Summary: This study demonstrates a multifunctional stretchable TENG that can harvest both mechanical and light energy. Due to the properties of Mxenes, these TENGs exhibit high mechanical energy conversion efficiency and excellent light response. Additionally, they can detect sound instructions and wind speed, and drive color-tunable LED matrices.
Article
Chemistry, Multidisciplinary
Lijun Chen, Tairan Wang, Yunchu Shen, Fumei Wang, Chaoyu Chen
Summary: With the development of triboelectric nanogenerator, it has become a promising alternative to fossil energy and batteries. Researchers have developed a highly stretchable woven fabric-based triboelectric nanogenerator by combining conductive yarns and different types of yarns. It shows excellent stretchability, flexibility, and mechanical stability, and can be used as a bend-stretch sensor and a power source for wearable electronics.
Article
Chemistry, Physical
Changyang Li, Peng Wang, Dun Zhang
Summary: This study presents a self-healing triboelectric nanogenerator (TENG) fabricated using self-healing polyimide (PI) for energy harvesting and motion sensing. The PI-based TENGs exhibited excellent intrinsic self-healing properties, attributed to dynamic disulfide bond exchange and flexible PDMS fragments in the PI backbone. The output performance of the TENG was significantly improved due to CF3 electron-absorbing groups and siloxane fragments in the PI backbone. Practical applications of self-healing PI-based TENGs, including energy harvesting for commercial electronic devices and joint motion sensing, were demonstrated.
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
Chemistry, Multidisciplinary
Bin Yu, Jing Long, Tao Huang, Zhengchen Xiang, Mengjiao Liu, Xin Zhang, Jianghua Zhu, Hao Yu
Summary: This study develops fiber-based triboelectric nanogenerators (F-TENGs) with a core-sheath structure (CF-TENGs) using continuous production equipment. The CF-TENGs exhibit stable reversible strain and excellent electrical output performance. They have great potential in applications such as portable energy harvesters and smart wearable sensors.
Article
Chemistry, Physical
Jianjun Luo, Kai Han, Xueqiang Wu, Huaihong Cai, Tao Jiang, Haibo Zhou, Zhong Lin Wang
Summary: This study reported a high-performance and durable triboelectric nanogenerator (TENG) for self-powered medical health improvement. By enhancing the electrical output performance through a double tribo-layers strategy, and introducing an automatic working mode transition design, the TENG's durability is greatly improved. The high output voltage of TENG is utilized to develop self-powered mosquito-killing and ultraviolet sterilization systems, expanding the application area of self-powered systems to infectious disease prevention.
Article
Nanoscience & Nanotechnology
Mengnan Qu, Lei Shen, Jiaxin Wang, Nana Zhang, Yajie Pang, Yaxin Wu, Jianwei Ge, Lei Peng, Jie Yang, Jinmei He
Summary: Triboelectric nanogenerators (TENGs) have attracted extensive interest in the field of flexible wearable electronics. In this paper, a core-shell superhydrophobic and flexible TENG (PP/AgH-TENG) was prepared, which showed excellent environmental adaptability and high output performance. It could also collect mechanical energy from human movement.
ACS APPLIED NANO MATERIALS
(2022)
Article
Chemistry, Multidisciplinary
Hui Xu, Xiutong Wang, Youbo Nan, Hui Zhou, Yan Wu, Mingxing Wang, Weilong Liu, Jizhou Duan, Yanliang Huang, Baorong Hou
Summary: This study demonstrates a highly elastic and pressure-resistant sponge-based triboelectric nanogenerator (TENG) capable of collecting wave energy and mechanical energy. The sponge, prepared using sacrificial template method, has an interconnected network and large cavity-wall ratio suitable for contact and separation. The combination of self-contact, extra-contact, and MXene electron transfer modes, along with the polydopamine-MXene modification, enhances the TENG's output power. The sponge is used for mechanical energy harvesting and TENG-powered cathodic protection, and also for monitoring waves in water tanks and collecting mechanical energy from vehicles and pedestrians, expanding the applications of sponge TENG.
ADVANCED FUNCTIONAL MATERIALS
(2023)
Review
Chemistry, Physical
Yi Li, Song Xiao, Yi Luo, Shuangshuang Tian, Ju Tang, Xiaoxing Zhang, Jiaqing Xiong
Summary: Electrospun nanofiber is highly beneficial in various applications, specifically in distributed energy management, wearables, and bio-interface electronics. This article provides a comprehensive review of the latest progress in electrospun nanofiber-based triboelectric active layers and functional conductors, highlighting their advantages and potential challenges.
Review
Chemistry, Multidisciplinary
Ziwei Huo, Yichen Wei, Yifei Wang, Zhong Lin Wang, Qijun Sun
Summary: With the development of the Internet of Things, there is an increasing need for clean energy and large-scale sensory systems. Triboelectric/piezoelectric nanogenerators have attracted attention as a new type of power generation terminal. This review introduces the excellent properties of 2D materials and their applications in integrated self-powered sensors. The potential applications of self-powered sensors based on 2D materials include biomedicine, environmental detection, human motion monitoring, energy harvesting, and smart wearable devices.
ADVANCED FUNCTIONAL MATERIALS
(2022)
Article
Chemistry, Multidisciplinary
Peiyuan Ji, Qianying Li, Xuemei Zhang, Yawen Hu, Xiangyu Han, Dazhi Zhang, Chenguo Hu, Yi Xi
Summary: This study presents a carbon felt-based integrated system capable of simultaneous energy storage and conversion. The system demonstrates high specific capacitance and fast charge-slow discharge characteristics, enabling successful lighting of LEDs for over 900 seconds. This research highlights the potential of carbon felt in sustainable energy harvesting and storage, laying the foundation for the realization of IoTs.
Review
Chemistry, Multidisciplinary
Gaurav Khandelwal, Ravinder Dahiya
Summary: The demand for portable and wearable chemical or biosensors has led to the exploration of mechanical energy harvesters such as piezoelectric and triboelectric generators (TEGs) as sensors or energy harvesters. TEGs have the potential to be used in a wide variety of materials and can convert mechanical energy to electricity, making them promising for autonomous chemical and biological sensors. This review focuses on the applications and development of TEGs as self-powered active chemical and biological sensors, and discusses the influence of environmental factors, various figures of merit, and the significance of TEG design.
ADVANCED MATERIALS
(2022)
Article
Chemistry, Multidisciplinary
Cong Zhao, Zhaoyang Wang, Yawei Wang, Zian Qian, Zheng Tan, Qingyu Chen, Xinxiang Pan, Minyi Xu, Ying-Chih Lai
Summary: With the development of sensor technologies, intelligent, secure, and low-carbon vehicles will be possible. However, powering multiple onboard sensors consumes a significant amount of energy, leading to shortened running times. This study proposes a self-powered noncontact triboelectric nanogenerator (SNC-TENG) with ultralong-distance detection and high sensitivity, which can be used as ambient perception sensors for smart vehicles. The SNC-TENG is constructed from a MXene/silicone nanocomposite with a fully embedded conductive sponge, significantly enriching the tribo-charges and enabling excellent capability and performance. The SNC-TENG can perceive human activity from a distance of 2 m, and its perceiving distance per unit area is the highest among previously reported non-contact TENGs.
ADVANCED FUNCTIONAL MATERIALS
(2023)
Review
Instruments & Instrumentation
Qi Wang, Lijuan Xie, Yibin Ying
Summary: Due to the unique characteristics of terahertz (THz) waves, such as low-energy, penetrating, and broadband, THz imaging has been regarded as cutting-edge technology in many fields. High-performance THz imaging systems are becoming indispensable as technology demand grows. The ability of THz time-domain spectroscopy (THz-TDS) system to extract spectra from amplitude and phase information opens virtually unlimited possibilities for imaging applications. Researchers are focusing on fast imaging components and the latest developments of THz-TDS-based imaging methods to improve performance further.
APPLIED SPECTROSCOPY REVIEWS
(2022)
Article
Agricultural Engineering
Hao Tian, Huirong Xu, Yibin Ying
Summary: This study investigated the penetration depth of light and the distribution of components inside pomelos to improve the accuracy of predicting soluble solids content (SSC) using visible-near infrared spectroscopy (Vis-NIRS). Three different modes of puncture measurement were conducted, and the asymmetrical changes and distribution of light intensity were observed in tissues. The semi-transmittance mode combined with the limited penetration depth and SSC distribution characteristics in pomelo was adopted. Multi-point spectra in the semi-transmittance mode were used to evaluate the influence of asymmetrical light and SSC distribution on models. The models established by mean spectra showed good performance in eliminating the difference in light distribution. The effective wavelengths were selected using competitive adaptive reweighted sampling (CARS) to establish the calibration model. The global model of CARS-PLSR using mean spectra and mean SSC of six points achieved the best performance with low root mean square error of prediction (RMSEP) and residual predictive deviation (RPD) values. Overall, multi-point detection in the semi-transmittance mode allowed non-destructive prediction of SSC in pomelo by weakening distribution difference caused by biological variability.
BIOSYSTEMS ENGINEERING
(2022)
Article
Engineering, Environmental
Qi Zhang, Zhishang Li, Huang Dai, Lin Zhang, Jie Zhang, Yuanjie Liu, Jianhan Lin, Kang Liang, Yibin Ying, Yanbin Li, Yingchun Fu
Summary: Inspired by biomineralization, the study successfully grew ultrahigh load metal-organic frameworks (MOFs) on inert glass fibers, preparing hybrid membranes with high efficiency in collecting organic hazardous substances. The new method significantly enhanced the coverage and adsorption capacity of MOFs, showing exceptional robustness and maintained performance in extreme conditions.
CHEMICAL ENGINEERING JOURNAL
(2022)
Article
Agriculture, Multidisciplinary
Jie Yang, Juntao Li, Jie Hu, Wenjun Yang, Xiaolei Zhang, Jinfan Xu, Youchao Zhang, Xuan Luo, K. C. Ting, Tao Lin, Yibin Ying
Summary: This study proposes a deep learning approach called DeepTranSpectra (DTS) for calibration transfer in spectroscopic analysis. It effectively avoids the need for standard samples by using labeled samples from slave instruments. The DTS approach demonstrates improved transfer performance compared to traditional standardization methods. Feature visualization is used to interpret the transfer mechanism of the DTS approach.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
Review
Agriculture, Multidisciplinary
Dihua Wu, Di Cui, Mingchuan Zhou, Yibin Ying
Summary: Poultry farming is evolving towards scale, intelligence, and unmanned operations, with information perception playing a vital role in improving efficiency, labor liberation, and animal welfare. Research on information perception technology in poultry farming has been conducted globally, covering topics such as individual poultry target perception, behavior recognition, health and environmental monitoring, and breeding-related robots. However, challenges still remain in accurately perceiving individual information in complex environments, monitoring poultry house environments at multiple scales, intelligent disease diagnosis, robot function expansion, and multi-robot coordination. Future research should focus on addressing these challenges to achieve accurate, efficient, and intelligent information perception in unmanned poultry farming systems.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
Article
Chemistry, Multidisciplinary
Tailong Cai, Lingyi Lan, Bo Peng, Chao Zhang, Shufen Dai, Chi Zhang, Jianfeng Ping, Yibin Ying
Summary: Water-enabled electricity generation technologies are attractive and renewable solutions to global energy crisis and pollution. However, current technologies still face challenges such as high cost, harmful components, and specific environmental requirements. This study presents a high-performance wood-based moisture-enabled electric generator that can offer clean energy for undeveloped and disaster-relief regions.
Article
Multidisciplinary Sciences
Yuzhou Shao, Lusong Wei, Xinyue Wu, Chengmei Jiang, Yao Yao, Bo Peng, Han Chen, Jiangtao Huangfu, Yibin Ying, Chuanfang John Zhang, Jianfeng Ping
Summary: This research presents a strategy for direct printing of flexible wireless electronics at room temperature. By regulating the additive-free titanium carbide (Ti3C2Tx) MXene aqueous inks, high-resolution and high-performance functional modules can be fabricated and integrated on various substrates. This work opens up possibilities for high-precision additive manufacturing of printed wireless electronics at room temperature.
NATURE COMMUNICATIONS
(2022)
Article
Chemistry, Multidisciplinary
Xiao Wang, Yixian Wang, Hao Qi, Yun Chen, Wei Guo, Haiyan Yu, Huayun Chen, Yibin Ying
Summary: This study developed a core-shell dye/MOFs@COFs gas-sensing material with excellent humidity resistance and sub-ppm level sensitivity, which is applicable for early and accurate detection of wheat scab.
Article
Biophysics
Lin Zhang, Yuxin Sun, Ziyan Zhang, Yafang Shen, Yue Li, Tongtong Ma, Qi Zhang, Yibin Ying, Yingchun Fu
Summary: Pesticide residues have caused public concern, and metal-organic frameworks have been used as recognition and signal generation elements in pesticide detection sensors. A sensor based on porous MOFs hybrid sponge for fluorescent-visible detection of methyl parathion has been developed, showing rapid response time, wide linear detection range, and low detection limit.
BIOSENSORS & BIOELECTRONICS
(2022)
Article
Chemistry, Physical
Tongtong Ma, Jie Zhang, Lin Zhang, Qi Zhang, Xiahong Xu, Yonghua Xiong, Yibin Ying, Yingchun Fu
Summary: This paper summarizes the progress of emerging films based on nanomaterials and their detection applications in recent five years, focusing on typical electrochemical and optical methods. Some new interesting applications, such as point-of-care testing, wearable devices and detection chips, are proposed and emphasized. This review will provide insights into the integration and processability of films based on nanomaterials, thus stimulate further contributions towards films based on nanomaterials for high-performance analytical-chemistry-related applications.
ADVANCES IN COLLOID AND INTERFACE SCIENCE
(2023)
Article
Agriculture, Multidisciplinary
Dihua Wu, Yibin Ying, Mingchuan Zhou, Jinming Pan, Di Cui
Summary: A chicken gender identification method based on an improved ResNet-50 deep learning algorithm was proposed in this study. The algorithm achieved better overall performance than five typical recognition algorithms and four state-of-the-art (SOTA) animal gender identification methods, with an accuracy rate of 98.42%, precision of 97.92%, recall of 98.95%, F1 score of 98.43%, and inference time of 4.79 ms.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2023)
Article
Chemistry, Multidisciplinary
Lin Zhang, Yuxin Sun, Li Peng, Wenzhang Fang, Qiao Huang, Jie Zhang, Ziyan Zhang, Hang Li, Yingjun Liu, Yibin Ying, Yingchun Fu
Summary: This study developed a dynamic bridging strategy based on fibrin to fabricate hierarchical porous materials with multi-scale pores. The fabricated material has a large surface area and high adsorption capacity.
Review
Materials Science, Multidisciplinary
Shufen Dai, Xunjia Li, Chengmei Jiang, Jianfeng Ping, Yibin Ying
Summary: Triboelectric nanogenerator (TENG) efficiently harvests mechanical energy from the agricultural environment to provide distributed power for microdevice networks in smart agriculture, enabling self-powered agricultural monitoring and production strategy adjustment and further promoting agricultural production intelligence.
Article
Engineering, Electrical & Electronic
Chao Zhang, Chi Zhang, Xinyue Wu, Jianfeng Ping, Yibin Ying
Summary: The integrated plant wearable system (IPWS) based on adaptive winding strain (AWS) sensor can provide stable and high-fidelity monitoring of plant pulse, reflecting the growth and water state of plants in real time.
NPJ FLEXIBLE ELECTRONICS
(2022)
Article
Food Science & Technology
Xunjia Li, Jianjun Luo, Kai Han, Xue Shi, Zewei Ren, Yi Xi, Yibin Ying, Jianfeng Ping, Zhong Lin Wang
Summary: This article introduces a wind and rain energy-driven electrical stimulation system for enhancing crop production. The system utilizes a triboelectric nanogenerator and a raindrop-driven nanogenerator, which can significantly increase the germination speed and yield of pea seeds through the self-generated high-voltage electric field. By harnessing environmental energy, the system can drive agricultural sensors to optimize plant growth.
