Young Researcher Paper Award 2021

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Vol. 32, No. 8(2), S&M2292

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Sensors and Materials, Volume 34, Number 7(3) (2022)
Copyright(C) MYU K.K.
pp. 2735-2745
S&M3002 Research Paper of Special Issue
Published: July 21, 2022

Carbon-nanotube-based Gas Preconcentration for Breath Analysis [PDF]

Keiji Nakamoto, Tomoaki Kageyama, Shunsaku Hosoi, Tadao Matsunaga, and Sang-Seok Lee

(Received April 30, 2022; Accepted June 28, 2022)

Keywords: carbon nanotube, micro-preconcentrator, VOC gas sensing, breath analysis

This paper presents a volatile organic compound (VOC) gas preconcentration method based on microstructures. The microstructures have a flower-leaf-type pattern, and each microstructure consists of carbon nanotubes (CNTs). This pattern is optimized by performing a simulation study to maximize the adsorption area between the VOC gas flow and the microstructure surfaces. The VOC gases contained in the exhaled breath of a human or dog can be utilized as biomarkers of cancers. Therefore, trace-level VOC gas detection in exhaled breath can enable the early diagnosis of human or canine cancer. We propose a method for analyzing human or canine breath using CNT-based gas preconcentration and conventional gas sensors or gas analysis equipment. To validate the method, we fabricated a CNT-based micro-preconcentrator and experimentally investigated ppb-level gas adsorption and detection with conventional gas chromatography equipment. As a result, we achieved more than 1000-fold gas preconcentration and ppb-level gas detection using conventional gas chromatography, which can normally only detect ppm-level gases.

Corresponding author: Sang-Seok Lee

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Cite this article
Keiji Nakamoto, Tomoaki Kageyama, Shunsaku Hosoi, Tadao Matsunaga, and Sang-Seok Lee, Carbon-nanotube-based Gas Preconcentration for Breath Analysis, Sens. Mater., Vol. 34, No. 7, 2022, p. 2735-2745.

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