RSC_Journal of Materials Chemistry C

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RSC_Journal of Materials Chemistry C


28 December 2021, Issue 48,

Page 17169 to 17546


A new insight into the ZIF-67 based triboelectric nanogenerator for self-powered robot object recognition


Harvesting mechanical energy from the surroundings can be a promising power source for micro/nano-devices. The triboelectric nanogenerator (TENG) works on the principle of triboelectrification and electrostatic induction. So far, metals and polymers have mostly dominated the conventional triboelectric series, but there is a need to find novel materials to extend the triboelectric series and further improve the performance of a TENG. Herein, a zeolitic imidazole framework (ZIF-67) was synthesized using a room temperature solvent-assisted route. Extensive material analysis was performed to understand its structural and chemical properties. Further, a simple vertical contact mode S-shaped TENG device (abbreviated further as S-TENG) was fabricated using an additive manufacturing approach. ZIF-67 acted as a positive triboelectric layer while Teflon/PDMS acted as a negative triboelectric layer. The multi-unit S-TENG device was further utilized for self-powered recognition of the various gaits using a digital signal processing approach. The S-TENG device based on ZIF-67 and Teflon produced a voltage of 118 V, a current of 1.7 μA, and a power density of 15 μW cm2 at a load resistance of 50 MΩ. The gait analysis of different volunteers was recorded by employing the S-TENG device and the digital signal processing route to effectively distinguish the gait patterns for the prevention of falls and injury. The S-TENG device was utilized to charge a commercial capacitor for powering a wristwatch and further it was attached to a robotic gripper for object identification.



  • Sugato Hajra
  • Manisha Sahu
  • Aneeta Manjari Padhan
  • Jaykishon Swain
  • Basanta Kumar Panigrahi
  • Hang-Gyeom Kim
  • Sang-Won Bang
  • Sukho Park
  • Rojalin Sahu
  • Hoe Joon Kim


A new insight into the ZIF-67 based triboelectric nanogenerator for self-powered robot object recognition - Journal of Materials Chemistry C (RSC Publishing)





Image created by minjeong Kim / Nanosphere