Identifying Single Particles in Air Using a 3D-Integrated Solid-State Pore.

Makusu Tsutsui1, Kazumichi Yokota1,2, Takeshi Yoshida1

  • 1The Institute of Scientific and Industrial Research , Osaka University , Mihogaoka 8-1 , Osaka , Ibaraki 567-0047 , Japan.

ACS Sensors
|February 22, 2019
PubMed
Summary

This study introduces a novel all-electrical sensor using solid-state nanopores to identify airborne particles like pollen. Machine learning differentiates particle types, enabling real-time air quality monitoring.

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