Swathi Ippili, Venkatraju Jella, Sai Prabhas Peram, Praveen K Thallapally, Radek Zboril, Kolleboyina Jayaramulu, Soon-Gil Yoon
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Dielectric Engineering of ZnO@ZIF-8 for High-Performance Triboelectric Nanogenerators and Self-Powered Humidity Sensors.
Porous metal oxide-metal-organic framework (MOx@MOF) hybrids offer synergistic effects that enhance surface charge density, electronic structure, and textural properties, making them ideal for self-powered sensing applications. Here, uniform, and pinhole-free ternary porous ZnO-PTFE@ZIF-8 hybrid films are developed on room-temperature co-sputtered ZnO-polytetrafluoroethylene (PTFE) composite films, where ZnO serves as a self-sacrificial precursor to precisely regulate ZIF-8 (Zn-MeIm2) growth through solvothermal methods. The resulting TENG achieves a high output power density of 0.67 mW cm-2, attributed to the synergistic effects of fluorine-rich PTFE and methyl-functionalized ZIF-8, which enhance surface charge density and dielectric response. By tuning PTFE content in the ZnO-PTFE composite, the dielectric constant and triboelectric output is optimized. The ZP60@ZIF-8-based device also demonstrates excellent humidity sensing performance, with a wide detection range (20-99% RH) and ultrahigh sensitivity (RV% of 19 900%, RI% of 19 325% at 99% RH). These results position ZP@ZIF-8-based TENGs as promising platforms for next-generation self-powered sensors and smart wearable electronics.
Small MethodsMaterials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍:
Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques.
With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community.
The online ISSN for Small Methods is 2366-9608.