title: Frequency-multiplication high-output triboelectric nanogenerator for sustainably powering biomedical microsystems.
abstract: An attractive method to response the current energy crisis and produce sustainable nonpolluting power source is harvesting energy from our living environment. However, the energy in our living environment always exists in low-frequency form, which is very difficult to be utilized directly. Here, we demonstrated a novel sandwich-shape triboelectric nanogenerator to convert low-frequency mechanical energy to electric energy with double frequency. An aluminum film was placed between two polydimethylsiloxane (PDMS) membranes to realize frequency multiplication by twice contact electrifications within one cycle of external force. The working mechanism was studied by finite element simulation. Additionally, the well-designed micro/nano dual-scale structures (i.e., pyramids and V-shape grooves) fabricated atop PDMS surface was employed to enhance the device performance. The output peak voltage, current density, and energy volume density achieved 465 V, 13.4 μA/cm(2), and 53.4 mW/cm(3), respectively. This novel nanogenerator was systematically investigated and also demonstrated as a reliable power source, which can be directly used to not only lighten five commercial light-emitting diodes (LEDs) but also drive an implantable 3-D microelectrode array for neural prosthesis without any energy storage unit or rectification circuit. This is the first demonstration of the nanogenerator for directly driving biomedical microsystems, which extends the application fields of the nanogenerator and drives it closer to practical applications.
authors: National Key Laboratory of Nano/Micro Fabrication Technology, Peking University, Beijing, China.
authors: Xiao-Sheng
authors: XS
authors: Zhang
authors: Meng-Di
authors: MD
authors: Han
authors: Ren-Xin
authors: RX
authors: Wang
authors: Fu-Yun
authors: FY
authors: Zhu
authors: Zhi-Hong
authors: ZH
authors: Li
authors: Wei
authors: W
authors: Wang
authors: Hai-Xia
authors: HX
authors: Zhang