Visualize the Gas Spreading Over Time as Separate Trajectories with Matrix Decomposition Based on the Linearity of LSPR Gas Sensor Response

カテゴリ: 論文誌(論文単位)

グループ名: 【E】センサ・マイクロマシン部門

発行日: 2024/11/01

タイトル(英語): Visualize the Gas Spreading Over Time as Separate Trajectories with Matrix Decomposition Based on the Linearity of LSPR Gas Sensor Response

著者名: Xiaofan Zheng (Graduate School of Information Science and Electrical Engineering, Department of Informatics, Kyushu University), Masato Matsuoka (Graduate School of Information Science and Electrical Engineering, Department of Electronics, Kyushu Universi

著者名(英語): Xiaofan Zheng (Graduate School of Information Science and Electrical Engineering, Department of Informatics, Kyushu University), Masato Matsuoka (Graduate School of Information Science and Electrical Engineering, Department of Electronics, Kyushu University), Kenshi Hayashi (Graduate School of Information Science and Electrical Engineering, Department of Electronics, Kyushu University), Yoichi Tomiura (Graduate School of Information Science and Electrical Engineering, Department of Informatics, Kyushu University)

キーワード: gas sensor，odor trace visualization，matrix decomposition

要約(英語): Detecting and visualizing gas distributed in two dimensions is enabled by the localized surface plasmon resonance (LSPR) gas sensor. This study provides a method for analyzing measurement data that allows component gases to be visualized separately. The degree of decrease in the intensity of the transmitted light (corresponding to the absorbance) due to the effect of the surrounding gas on the sensor was taken as the response of the sensor, and an approximate linear proportionality between the gas concentration and the response of the sensor was assured through measuring the sample of gas sources in different dilutions. Because the responses of gas sensor to mixed gases can be regarded as the sum of the responses to each component gas with respect to its concentration, this proportionality lead the possibility to estimate the concentration distribution of component gases by applying the algorithm of matrix decomposition. We applied matrix decomposition to real measurement data and visualized the component gases spreading over time. Moreover, we discussed the impact of speculating on the number of components in our case by conducting a simulation experiment.

本誌: 電気学会論文誌E（センサ・マイクロマシン部門誌） Vol.144 No.11 （2024） 特集：化学物質の高次センシングと解析技術

本誌掲載ページ: 345-349 p

原稿種別: 論文／英語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejsmas/144/11/144_345/_article/-char/ja/