Micro-3D-printed integrated system with liquid-metal coils for simultaneous size-selective sampling and concentration sensing of respirable ferrous metal aerosols
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Updated: Nov 3, 2026

Additive Manufacturing-Enabled Low-Cost Particle Detector
Published on: March 24, 2023
Gyuman Park1, Jaeho Oh1, Kyuwon Hong1
1School of Mechanical Engineering, Yonsei University, Seoul 03722, Republic of Korea. yjk@yonsei.ac.kr.
Abstract:
Respirable ferrous metal aerosols generated during metal processing and transportation pose exposure risks, motivating compact systems that can simultaneously classify particles by size and assess ferrous-particle concentrations. Conventional inductive sensors typically employ relatively large wire-wound coils and sensing channels, limiting their responses to few-micrometer particles. Here, we present a micro-3D-printed sampling-to-sensing platform integrating a two-stage inertial impactor, aqueous particle-transfer pathways, 100 μm sensing channels, and embedded liquid-metal coils within a monolithic polymer body. Vacuum-filled eutectic gallium-indium forms five-layer, 50-turn solenoids surrounding the sensing channels. The impactor stages exhibited aerodynamic cut-off diameters of 5.28 and 0.99 μm, enabling nominal >5 μm and 1-5 μm collection fractions. The coil achieved an inductance of 907.1 nH and a maximum Q-factor of 9.1 at 30 MHz. Under Fe-only aerosol conditions, peak-rate calibrations yielded R2 values of 0.900 and 0.910, with time-resolved concentration-estimation nRMSE values of 6.72% and 8.95% for the two fractions, respectively. Under a controlled Arizona test dust background, inductive peak rates increased with Fe-source-associated increments in APS-measured total particle concentrations (R2 = 0.9428 and 0.9348). Detectable responses persisted during a separate 60-min continuous mixed-aerosol challenge. These results demonstrate size-selective inductive sensing with initial evidence of concentration-dependent responses and operational stability under a laboratory-generated mineral-dust background.

