The triboelectric nanogenerator (TENG) has been proved to be a very promising marine energy harvesting technology. Herein, we have developed a high-performance triboelectric nanogenerator (SD-TENG) with low friction, high durability, swing-induced counter-rotating motion mechanism (SICRMM) and dual potential energy storage and release strategy (DPESRS). The unique counter-rotating motion mechanism enabled SD-TENG to convert the external linear and swing motion energy into rotation motion energy of the inner and outer cylinders, and then converted it into a controllable power output. Benefitting from the SICRMM and DPESRS, the short-circuit current of SD-TENG reached 51.2 μA, which was more than 2 times higher than the previously reported work. With an increase in the external excitation, SD-TENG automatically switched between intermittent rotation mode and continuous rotation mode. Its peak power density reached 11.20 W m⁻³ and 20.21 W m⁻³ in two rotation modes, respectively. The non-contact working mode greatly improved the durability of SD-TENG, and it maintained 97.08% of the electrical output even after 120 000 cycles of continuous work. SD-TENG has potential to supply power for wireless transmission modules, realize wireless real-time monitoring of temperature and humidity, and successfully demonstrate some intelligent ocean applications.

This work presents the fabrication of a coaxial fiber triboelectric sensor (CFTES) designed for efficient energy harvesting and gesture detection in wearable electronics. The CFTES was fabricated using a facile one-step wet-spinning approach, with PVDF-HFP/CNTs/Carbon black as the conductive electrode and PVDF-HFP/MoS₂ as the triboelectric layer. The incorporation of 1T phase MoS₂ into the PVDF-HFP matrix significantly improves the sensor’s output owing to its electron capture capabilities. The sensor’s performance was carefully optimized by varying the weight percentage of MoS₂, the thickness of the fiber core, and the CNT ratio. The optimized CFTES, with a core thickness of 156 µm and 0.6 wt% MoS₂, achieved a stable output voltage of ~8.2 V at a frequency of 4 Hz and 10 N applied force, exhibiting remarkable robustness over 3600 s. Furthermore, the CFTES effectively detects human finger gestures, with machine learning algorithms further enhancing its accuracy. This innovative sensor offers a sustainable solution for energy transformation and has promising applications in smart portable power sources and wearable electronic devices.

In this study, we modified Ni based electrodes with MXene and MXene-based composite catalysts for water splitting. The MXene based catalyst exhibited excellent electrochemical surface area (ECSA) of 1840 cm ² , highlighting its abundant active sites. To further enhance catalytic activity, MXene was modified with graphene oxide (GO) and carbon black (CB), which significantly reduced the overpotential from 300 mV to 196 mV at 10 mA cm ⁻² and improved the reaction kinetics, as evidenced by a low Tafel slope of 96.35 mV dec ⁻¹ . Moreover, the MXene–GO–CB composite demonstrated outstanding long-term durability, maintaining stable operation for 50 h at 100 mA cm ⁻² with only a 34 mV increase in overpotential at 10 mA cm ⁻² . These results confirm that the synergistic combination of MXene with GO and CB yields a highly active and durable electrocatalyst, offering strong potential for practical water electrolysis applications.