A research team from the Hezhijiang Laboratory of Zhejiang University in China recently published an innovative result in PhotoniX - a low-frequency receiving antenna using optically suspended nanoparticles. The size of the antenna is nearly 10,000 times smaller than traditional designs, bringing a breakthrough in antenna miniaturization for low-frequency (LF) applications such as underwater communications, underground sensing, and ionospheric waveguides.

Because the resonant frequency of traditional low-frequency wireless signal antennas is related to the physical size, the size is limited to the centimeter level, and miniaturization often comes at the expense of reduced sensitivity. The research team's nanoantenna uses high-vacuum suspended silica nanoparticles (143 nanometers in diameter) captured by laser to achieve key advances such as charge enhancement, size-frequency decoupling and high-fidelity signal demodulation. Among them, by focusing the electron beam, the nanoparticles can stably carry more than 200 net charges, improving the electric field sensitivity; the resonant frequency of the nanoparticles enables a 100-nanometer-sized antenna to operate in the range of 30kHz-180kHz; under weak electric fields, the system achieves a low bit error rate, verifying its feasibility in high vacuum environments.

In addition, the nanoantenna also has technical highlights such as adjustability and vector detection. By adjusting the optical trap power, continuous frequency tuning can be achieved, and the sensitivity is better than traditional designs. 3D motion tracking enables omnidirectional signal reception, which is better than traditional scalar antennas. The research team also successfully transmitted images and controlled the bit error rate, demonstrating its potential for practical applications.

Although the sensitivity of current nanoantennas is still 3-4 orders of magnitude lower than traditional designs, their nanoscale size and adjustability have unique advantages in extreme environments. Future research will focus on array integration, frequency expansion and chip-level deployment to further expand its application range and performance.