METHOD AND DEVICE FOR IDENTIFYING SAMPLE USING CHEMICAL SENSOR

    公开(公告)号:US20190391122A1

    公开(公告)日:2019-12-26

    申请号:US16488866

    申请日:2018-02-16

    Abstract: Provided is a novel analysis method which, when a chemical sensor is used to perform a measurement, makes it possible to identify a sample without controlling or monitoring a change in the time the sample is introduced. According to the present invention, a sample can be identified without knowing a change in the time the sample is introduced, by using a chemical sensor having a plurality of channels each having different characteristics to perform a measurement, and performing an analysis on the basis of responses obtained from each channel.

    METHOD FOR ANALYZING LIQUID SAMPLE AND APPARATUS

    公开(公告)号:US20210396699A1

    公开(公告)日:2021-12-23

    申请号:US17289394

    申请日:2019-11-13

    Abstract: The present invention provides a method for analyzing a liquid sample that solves a problem of a kinetically slow equilibrium at a liquid-solid interface, the problem occurring when liquid sample analysis is performed with a chemical sensor. In the method for analyzing a liquid sample according to an embodiment of the present invention, a component to be analyzed in a liquid sample is adsorbed on a receptor layer of a chemical sensor, one or more kinds of gases are then supplied to the chemical sensor, and a response thereof is measured. As a result, since a slow equilibrium at a liquid-solid interface is not used, a high-sensitivity measurement can be performed in a short time, and existing findings regarding analysis of gas samples on which much progress in research has been achieved can be used.

    MATERIAL ANALYSIS METHOD AND MATERIAL ANALYSIS APPARATUS

    公开(公告)号:US20210190655A1

    公开(公告)日:2021-06-24

    申请号:US17055687

    申请日:2019-06-04

    Abstract: Provided is a novel material analysis technique using a chemical sensor. By reversing the conventional approach, a material to be measured is provided as a receptor of the chemical sensor, and a response signal of the chemical sensor obtained by supplying a known gas or the like to the chemical sensor is obtained. From the response signal, it is possible to identify and distinguish the receptor material, and to obtain its composition and the like. By analyzing the response signal by means of a statistical or machine learning technique such as principal component analysis, linear discriminant analysis, or a support vector machine, the above-mentioned identification and the like can be performed with high accuracy.

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