Nanogenerator-based self-powered sensors for data collection

Shao, Yicheng; Shen, Maoliang; Zhou, Yuankai; Cui, Xin; Li, Lijie; Zhang, Yan

doi:10.3762/bjnano.12.54

Cited by 21 publications

(8 citation statements)

References 107 publications

(227 reference statements)

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“…In recent years, nanogenerators have received a lot of attention from researchers because of their applications in self-powered sensing and energy harvesting. [1][2][3][4] Research on nanogenerators began in 2006 when Wang and Song proposed piezoelectric nanogenerators based on zinc oxide (ZnO) nanowire arrays. 5 Since then, piezoelectric nanogenerators have entered the vision of researchers.…”

Section: Introductionmentioning

confidence: 99%

“…A variety of piezoelectric nanogenerators have been proposed and applied in the fields of energy harvesting, 6,7 self-powered sensors [8][9][10][11] and so on. 2,10,12,13 In 2012, Wang et al put forward the new concept of triboelectric nanogenerators (TENGs). 14 Current can be measured on an external circuit when two different triboelectric materials are brought into contact or separate.…”

Section: Introductionmentioning

confidence: 99%

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Low-cost composite film triboelectric nanogenerators for a self-powered touch sensor

et al. 2023

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Low-cost composite film triboelectric nanogenerators for a self-powered touch sensor

et al. 2023

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“…[110,111] Therefore, under the background of current serious energy and environmental problems, it is urgent to actively promote the development of a new self-powered flow sensor, so as to provide new ideas for the rational utilization of energy. [112][113][114][115][116][117][118] In 2012, Wang's group proposed the triboelectric nanogenerator (TENG), a new method for converting mechanical energy into electrical signals based on the Maxwell displacement current principle. [3,[119][120][121][122][123][124][125] TENG has various advantages of low cost, light weight, simple structure, strong environmental compatibility, and wide selection of materials.…”

Section: Introductionmentioning

confidence: 99%

“…[ 110,111 ] Therefore, under the background of current serious energy and environmental problems, it is urgent to actively promote the development of a new self‐powered flow sensor, so as to provide new ideas for the rational utilization of energy. [ 112–118 ]…”

Section: Introductionmentioning

confidence: 99%

Advances in Triboelectric Flow Sensor

Zou,

Wang,

et al. 2023

Adv Materials Technologies

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With the rapid development of advanced materials and manufacturing technologies, flow sensors have made significant progress in the field of mechanical engineering, which could cater to the development trend of the Internet of Things (IoT) and the ongoing Fourth Industrial Revolution. However, traditional power supply modes such as lithium batteries require regular recharging or replacement, which greatly causes too much inconvenience and maintenance consumption, and may also pose potential risks to the marine environment. The triboelectric nanogenerators (TENGs), based on the coupling effect of contact electrification and electrostatic induction, have been demonstrated to convert mechanical movements of the fluid into electrical signals with various features such as flexibility, conformability, and user‐friendliness. This review systematically summarizes for the first time the fundamental working mechanism, rational structural design, and analysis of practical application scenarios of triboelectric flow sensor as an emerging technology for flow monitoring of the Industrial IoT. According to the different fluid objects monitored, the latest representative achievements of triboelectric flow sensors can be divided into gas flow sensors, liquid flow sensors, and two‐phase flow sensors. Finally, the current challenges and future development directions of triboelectric flow sensors are examined, which can promote the further development of the field of the flow sensors.

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“…Noticeably, triboelectric nanogenerator (TENG) is energy harvesting device that can convert various forms of energy such as human motion, sound vibration, and light energy into electric power [29][30][31][32][33][34][35][36] . The native advantages of TENG render it a promising power supply device as well as a multisensory receptor 33,[37][38][39][40][41][42] . Meanwhile, vertical organic field effect transistors (VOFETs) composed of vertically stacked gate/ source/drain electrodes and promising short channel possess small subthreshold swing (SS), high working frequency, and promising mechanical stability, ensuring their great practical applications in memory and computing devices [43][44][45][46] .…”

mentioning

confidence: 99%

Self-powered high-sensitivity all-in-one vertical tribo-transistor device for multi-sensing-memory-computing

Liu

Gao

et al. 2022

Nat Commun

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Devices with sensing-memory-computing capability for the detection, recognition and memorization of real time sensory information could simplify data conversion, transmission, storage, and operations between different blocks in conventional chips, which are invaluable and sought-after to offer critical benefits of accomplishing diverse functions, simple design, and efficient computing simultaneously in the internet of things (IOT) era. Here, we develop a self-powered vertical tribo-transistor (VTT) based on MXenes for multi-sensing-memory-computing function and multi-task emotion recognition, which integrates triboelectric nanogenerator (TENG) and transistor in a single device with the simple configuration of vertical organic field effect transistor (VOFET). The tribo-potential is found to be able to tune ionic migration in insulating layer and Schottky barrier height at the MXene/semiconductor interface, and thus modulate the conductive channel between MXene and drain electrode. Meanwhile, the sensing sensitivity can be significantly improved by 711 times over the single TENG device, and the VTT exhibits excellent multi-sensing-memory-computing function. Importantly, based on this function, the multi-sensing integration and multi-model emotion recognition are constructed, which improves the emotion recognition accuracy up to 94.05% with reliability. This simple structure and self-powered VTT device exhibits high sensitivity, high efficiency and high accuracy, which provides application prospects in future human-mechanical interaction, IOT and high-level intelligence.

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Nanogenerator-based self-powered sensors for data collection

Cited by 21 publications

References 107 publications

Low-cost composite film triboelectric nanogenerators for a self-powered touch sensor

Low-cost composite film triboelectric nanogenerators for a self-powered touch sensor

Advances in Triboelectric Flow Sensor

Self-powered high-sensitivity all-in-one vertical tribo-transistor device for multi-sensing-memory-computing

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