| Literature DB >> 30788967 |
Makusu Tsutsui1, Kazumichi Yokota1,2, Takeshi Yoshida1, Chie Hotehama1, Hiroe Kowada1, Yuko Esaki1, Masateru Taniguchi1, Takashi Washio1, Tomoji Kawai1.
Abstract
Solid-state micro- and nanopores are a versatile sensor platform capable of detecting single particles in electrolyte solution by cross-pore ionic current. Here we report on a use of this technology to identify airborne particulate matter. The detection concept lies in an electrophoretic control of air-floating particles captured in liquid to deliver them into a pore detector via microfluidic channels. We demonstrate resistive pulse measurements to machine-learning-based discriminations of intragranular contents of cypress and cedar pollens at a single-particle level. This all-electrical-sensor technique would pave a new venue toward real-time monitoring of single particles and molecules in air.Keywords: machine learning; nanopore; particulate matter; resistive pulse analysis; sensor
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Year: 2019 PMID: 30788967 DOI: 10.1021/acssensors.9b00113
Source DB: PubMed Journal: ACS Sens ISSN: 2379-3694 Impact factor: 7.711