Literature DB >> 30788967

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

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


  1 in total

1.  Synchronized resistive-pulse analysis with flow visualization for single micro- and nanoscale objects driven by optical vortex in double orifice.

Authors:  Kichitaro Nakajima; Ryoji Nakatsuka; Tetsuro Tsuji; Kentaro Doi; Satoyuki Kawano
Journal:  Sci Rep       Date:  2021-04-29       Impact factor: 4.379

  1 in total

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