Material Recognition Sensor Array by Electrostatic Induction and Triboelectric Effects

Rong, Xin; Zhao, Junqing; Guo, Hang; Zhen, Gaowei; Yu, Jinghan; Zhang, Chi; Dong, Guifang

doi:10.1002/admt.202000641

Cited by 18 publications

(6 citation statements)

References 37 publications

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“…In addition, FPPE-5 is still positively charged during contact with oil-resistant buna-N rubber (nitrile rubber), which is the most positive polymer in triboelectric series as reported by H. Zou (Figure S7a, Supporting Information). [14] As the proportion of DHPZ gradually increases in chain structure of copolymers, the ranking of FPPEs in triboelectric series largely shifts from negative to positive. This positive shift is induced by the change in the type and density of triboelectric functional group at molecular level for the introduction of phthalazinone moieties.…”

Section: Triboelectric Performance and Serial Position Of Fppes Filmmentioning

confidence: 99%

“…Thus, multi-material sensor can not only detect the touching motions but also identify different materials based on the polarity and amplitude of output signal. For example, a multifunctional sensor, [12] on-skin self-powered sensor, [13] flexible sensor array, [14] and tactile sensing system combining deep learning technology [15] have been reported to identify materials by utilizing the intrinsic triboelectric difference. However, the current triboelectric layers are mainly composed by commercial materials, and big gaps still exist in the triboelectric series.…”

Section: Introductionmentioning

confidence: 99%

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Large and Tunable Ranking Shift in Triboelectric Series of Polymers by Introducing Phthalazinone Moieties

Tao

et al. 2023

Small Methods

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Regulating the ranking of polymer in triboelectric series over a wide range is of great help for material's selection of triboelectric nanogenerators (TENGs). Herein, fluorinated poly(phthalazinone ether)s (FPPEs) with tunable molecular structure and aggregate structure are synthesized by co-polycondensation, while the large positive ranking shift in the triboelectric series can be achieved by introducing phthalazinone moieties with strong electron donating capability. FPPE-5, which includes abundant phthalazinone moieties, is more positive than all of the previously reported triboelectric polymers. Hence, the regulating range of FPPEs in this work updates a new record in triboelectric series, which is wider than that of previous works. A peculiar crystallization behavior, capable of trapping and storing more electrons, has been observed in FPPE-2 with 25% phthalazinone moieties. Correspondingly, FPPE-2 is more negative than FPPE-1 without a phthalazinone moiety, which is an unexpected shift against the common changing tendency in triboelectric series. With FPPEs films as the probing material, a tactile TENG sensor is applied to enable material identification via electrical signal polarity. Hence, this study demonstrates a strategy to regulate the series of triboelectric polymers by copolymerization using monomers with distinct electrification capabilities, where both the monomer ratio and the peculiar nonlinear behavior can control triboelectric performance.

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Section: Triboelectric Performance and Serial Position Of Fppes Filmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Large and Tunable Ranking Shift in Triboelectric Series of Polymers by Introducing Phthalazinone Moieties

Tao

et al. 2023

Small Methods

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“…With the gradual rollout of AI technology around the world, intelligent robots will play a more important role in our society and will gradually replace humans in laborintensive or dangerous tasks, from the industries of service, manufacturing and medical, to daily life assistant, as well as future scientific-related space exploration [198]. As the medium to perceive the external world and enhance the interactions with humans, sensors based on TENGs have also been investigated a lot to mimic the bionic sensory system for robots' tactile sensing [199][200][201][202][203], gesture/motion monitoring [204,205], gait analysis [206], etc., thanks to their good compatibility brought by TENGs' wide material choices.…”

Section: Robotic-related Hmismentioning

confidence: 99%

Progress in the Triboelectric Human–Machine Interfaces (HMIs)-Moving from Smart Gloves to AI/Haptic Enabled HMI in the 5G/IoT Era

Sun

Zhu

Lee

2021

Nanoenergy Advances

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Entering the 5G and internet of things (IoT) era, human–machine interfaces (HMIs) capable of providing humans with more intuitive interaction with the digitalized world have experienced a flourishing development in the past few years. Although the advanced sensing techniques based on complementary metal-oxide-semiconductor (CMOS) or microelectromechanical system (MEMS) solutions, e.g., camera, microphone, inertial measurement unit (IMU), etc., and flexible solutions, e.g., stretchable conductor, optical fiber, etc., have been widely utilized as sensing components for wearable/non-wearable HMIs development, the relatively high-power consumption of these sensors remains a concern, especially for wearable/portable scenarios. Recent progress on triboelectric nanogenerator (TENG) self-powered sensors provides a new possibility for realizing low-power/self-sustainable HMIs by directly converting biomechanical energies into valuable sensory information. Leveraging the advantages of wide material choices and diversified structural design, TENGs have been successfully developed into various forms of HMIs, including glove, glasses, touchpad, exoskeleton, electronic skin, etc., for sundry applications, e.g., collaborative operation, personal healthcare, robot perception, smart home, etc. With the evolving artificial intelligence (AI) and haptic feedback technologies, more advanced HMIs could be realized towards intelligent and immersive human–machine interactions. Hence, in this review, we systematically introduce the current TENG HMIs in the aspects of different application scenarios, i.e., wearable, robot-related and smart home, and prospective future development enabled by the AI/haptic-feedback technology. Discussion on implementing self-sustainable/zero-power/passive HMIs in this 5G/IoT era and our perspectives are also provided.

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“…In the initial stage, the tactile stimulators based on TENGs are mainly used for some single function sensing, such as pressure [ 41 ], trajectory motion [ 42 ], tactile imaging [ 43 ], and so on, which cannot satisfy the practical demands. After several years of research, the tactile stimulators have gradually developed into the integration of multi-sensory functions [ 44 , 45 ]. Various triboelectric tactile perception devices have been developed, which have demonstrated the sensing characteristic of TENGs in human-computer interactions.…”

Section: Introductionmentioning

confidence: 99%

Triboelectric Nanogenerators as Active Tactile Stimulators for Multifunctional Sensing and Artificial Synapses

Zeng

Zhao

et al. 2022

Sensors

Self Cite

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The wearable tactile sensors have attracted great attention in the fields of intelligent robots, healthcare monitors and human-machine interactions. To create active tactile sensors that can directly generate electrical signals in response to stimuli from the surrounding environment is of great significance. Triboelectric nanogenerators (TENGs) have the advantages of high sensitivity, fast response speed and low cost that can convert any type of mechanical motion in the surrounding environment into electrical signals, which provides an effective strategy to design the self-powered active tactile sensors. Here, an overview of the development in TENGs as tactile stimulators for multifunctional sensing and artificial synapses is systematically introduced. Firstly, the applications of TENGs as tactile stimulators in pressure, temperature, proximity sensing, and object recognition are introduced in detail. Then, the research progress of TENGs as tactile stimulators for artificial synapses is emphatically introduced, which is mainly reflected in the electrolyte-gate synaptic transistors, optoelectronic synaptic transistors, floating-gate synaptic transistors, reduced graphene oxides-based artificial synapse, and integrated circuit-based artificial synapse and nervous systems. Finally, the challenges of TENGs as tactile stimulators for multifunctional sensing and artificial synapses in practical applications are summarized, and the future development prospects are expected.

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Material Recognition Sensor Array by Electrostatic Induction and Triboelectric Effects

Cited by 18 publications

References 37 publications

Large and Tunable Ranking Shift in Triboelectric Series of Polymers by Introducing Phthalazinone Moieties

Large and Tunable Ranking Shift in Triboelectric Series of Polymers by Introducing Phthalazinone Moieties

Progress in the Triboelectric Human–Machine Interfaces (HMIs)-Moving from Smart Gloves to AI/Haptic Enabled HMI in the 5G/IoT Era

Triboelectric Nanogenerators as Active Tactile Stimulators for Multifunctional Sensing and Artificial Synapses

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