A simple combination of thermal etching and liquid-phase ultrasonic stripping was deployed to prepare high-performance graphite carbon nitride (g-C3N4) nanosheets. Also, graphene oxide with plentiful active groups was used to combine g-C3N4 with a magnetically actuated artificial cilia array (MAACA) to generate a composite cilia array, which can ensure the facile recovery of g-C3N4. This strategy addresses the limitations of an adjustable band gap for easy response to visible light and circumvents the encumbered limitation of recyclability, thus addressing a chronic environmental problem by curbing waste. The underlying functional principle of the array used was analyzed and studied in greater detail. The photocatalytic hydrogen production efficiency of MAACA with 0.4 mg of g-C3N4 at a magnetic field driving frequency of 12.50 Hz was found to be ∼75.0% higher than that at a magnetic field driving frequency of 0 Hz.
Inspired by microorganisms in nature, a new type of waste-energy-driven catalytic film was explored for the first time using magnetically actuated artificial cilia. Due to its singular characteristic ciliary movement, the inner-motile catalytic film is capable of capturing waste mechanical energy from flows, which can unexpectedly drive electrochemical reactions in solutions. Based on this, the piezoelectric deposition of Ag nanoparticles was achieved for the first time, which makes Ag nanoparticles distribute more evenly on the body of ZnO nanowires, enhancing the catalytic performance dramatically. Moreover, the influence of Ag nanoparticles on the piezoelectric catalysis was also detected, which can boost the deeper understanding of the piezo-catalytic mechanism. In summary, the inner-motile strategy facilitates the realization of waste-energy-driven catalytic technology, providing a new working prototype for driving the piezo-chemical reaction.
Hair cells in the human ear contain cilia of varying lengths that sense varied acoustic signals. Here, inspired by this, we report an artificial cilia-based sound-decoding device capable of directly recognizing and responding to sound frequencies without relying on electricity and algorithms. We create 3D-printed micrometre-sized (40–200 μm) artificial cilia-based arrays with varying length-to-diameter ratios (30–100) that can sense and decode sound frequency signals (100–6,000 Hz), including piano music and human voices, on the basis of acoustic resonance. The artificial cilia can also vibrate accordingly in water to initiate subsequent tasks such as controlling drug release profiles of two distinct therapeutics (insulin and glucagon) in an acoustic-frequency-responsive manner to treat type 1 diabetic mice. This cochlear cilia-inspired device holds potential for broad applications such as recognizing complicated physiological sounds and performing various tasks in personalized voice interactions.