# US 11,442,051 B2 · Method and device for identifying sample using chemical sensor > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 11,442,051 B2 - Document ID: US11442051B2 - Status: Granted - Kind: B2 - Application number: 16/488,866 - Filed: 2018-02-16 - Published: 2019-12-26 - Granted: 2022-09-13 - Earliest claimed: 2017-02-27 - Assignees: National Institute for Materials Science - Applicants: National Institute for Materials Science - Inventors: Gaku Imamura; Genki Yoshikawa; Takashi Washio - Web page: https://patentgrep.com/patent/US11442051B2 ## CPC - G01N 35/00693: {Calibration} - G01N 19/00: Investigating materials by mechanical methods (G01N3/00 - G01N17/00 take precedence) - G01N 33/0022: {using a number of analysing channels} - G01N 33/0034: {comprising neural networks or related mathematical techniques} - G01N 33/0062: {concerning the measuring method or the display, e.g. intermittent measurement or digital display} - G06F 18/2413: based on distances to training or reference patterns - G01N 33/0068: {using a computer specifically programmed} - G06F 2218/12: Classification; Matching - G01N: INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES (measuring or testing apparatus or processes other than immunoassay, involving enzymes or microorganisms C12M, C12Q) - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) ## 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. ## Claims ### Claim 1 A sample identification method using a chemical sensor, comprising: inputting an unknown sample, according to an identical time-varying first function, to a chemical sensor comprising a plurality of channels each having a peculiar transfer function, thereby obtaining, from the plurality of channels, a plurality of time-varying sensor signals each descriptive of the unknown sample through the corresponding transfer function; inputting a known sample, according to an identical time-varying second functions, to the same chemical sensor comprising the plurality of same channels each having the same corresponding transfer function, thereby obtaining, from the plurality of channels, a plurality of time-varying sensor signals each descriptive of the known sample through the corresponding transfer function; performing one of a first comparison and a second comparison, wherein the first comparison (a) determines a relationship between a sensor signal descriptive of the unknown sample from a respective at least some channels and a sensor signal descriptive of the known sample from the corresponding channel, and (b) compares a determined relationship with another determined relationship among at least some of the determined relationships, and the second comparison (a) determines a relationship between a sensor signal descriptive of the unknown sample from one channel among at least some of the channels and a sensor signal descriptive of the unknown sample from another channel from the at least some of the channels, (b) similarly determines a relationship between a sensor signal descriptive of the known sample from one channel among the at least some of the channels and a sensor signal descriptive of the known sample from another channel from the at least some of the channels, and (c) compares a respective at least some of the determined relationships between sensor signals descriptive of the unknown sample with the corresponding, determined relationship between sensor signals descriptive of the known sample; and estimating the unknown sample to be the known sample, based on similarity between the relationships compared in one of the first and the second comparisons. ### Claim 2 (depends on 1) The sample identification method using a chemical sensor according to claim 1, wherein each of the channels of the chemical sensor is configured to describe a sensor signal as a function of a multiplication or an addition of an input function of a channel and a transfer function (h) of the channel. ### Claim 3 (depends on 1) The sample identification method using a chemical sensor according to claim 1, wherein the sensor signals descriptive of the unknown sample and the sensor signals descriptive of the known samples are expressed by a formula (1) below using the transfer functions for the plurality of channels, yq,c(t)=hq,c(t)*xq(t) (1), where xq(t) represents: one of the first function when the unknown sample is sensed, and the second function when the known ample is sensed, both being expressed as a function of time; yq,c(t) represents one of the sensor signals descriptive of the unknown sample and the sensor signals descriptive of the known sample, both being expressed as a function of time; hq,c(t) represents the transfer functions expressed as a function of time; a suffix q is used to distinguish the unknown sample and the known sample; a number “c” is used to identify a channel within a range from 1 to C, and a symbol “*” represents a convolution operation, and each of the first and second comparisons comprises comparing the formula (1) broken down into a number (C) of polynomials in which the suffix q identifies the unknown sample, and the formula (1) broken down into the number (C) of polynomials in which the suffix q identifies the known sample, in order to determine whether or not the transfer function in the formula (1) in which the suffix q identifies the unknown sample and the transfer function in the formula (1) in which the suffix q identifies the known sample are identical to each other. ### Claim 4 (depends on 3) The sample identification method using a chemical sensor according to claim 3, further including transforming the formula (1) into polynomials expressed by a formula (2) shown below that includes a multiplication of H and X: Y=HX (2), where X and Y are a collection of inputs to and a collection of sensor signals from the channel, respectively, and H is a collection of variables or constants corresponding to the transfer functions defining the relationship between X and Y. ### Claim 5 (depends on 4) The sample identification method using a chemical sensor according to claim 4, wherein in the first comparison comprises, determining a relationship between a sensor signal descriptive of the unknown sample and a sensor signal descriptive of the known sample comprises determining a ratio between a sensor signal descriptive of the unknown sample and a sensor signal descriptive of the known sample comprises determining; and comparing a determined relationship with another determined relationship comprises comparing a determined ratio with another determined ratio. ### Claim 6 (depends on 4) The sample identification method using a chemical sensor according to claim 4, wherein in the second comparison comprises, determining a relationship between a sensor signal descriptive of the unknown sample from one channel and a sensor signal descriptive of the unknown sample from another channel comprises determining a ratio between a sensor signal descriptive of the unknown sample from one channel and a sensor signal descriptive of the unknown sample from another channel; determining a relationship between a sensor signal descriptive of the known sample from one channel and a sensor signal descriptive of the known sample from another channel comprises determining a ratio between a sensor signal descriptive of the known sample from one channel and a sensor signal descriptive of the known sample from another channel; and comparing a respective at least some of the determined relationships between sensor signals descriptive of the unknown sample with the corresponding, determined relationship between sensor signals descriptive of the known sample comprises comparing a respective at least some of the determined ratios between sensor signals descriptive of the unknown sample with the corresponding, determined ratio between sensor signals descriptive of the known sample. ### Claim 7 (depends on 4) The sample identification method using a chemical sensor according to claim 4, wherein transforming the formula (1) into polynomials comprises transforming the convolution operation in the formula (1) into a multiplication of matrices or vectors. ### Claim 8 (depends on 4) The sample identification method using a chemical sensor according to claim 4, wherein transforming the formula (1) into polynomials comprises transforming the formula (1) from a function in a time domain into a function in a frequency domain. ### Claim 9 (depends on 1) The sample identification method using a chemical sensor according to claim 1, wherein the first function and the second function are determined independently of each other. ### Claim 10 (depends on 1) The sample identification method using a chemical sensor according to claim 1, wherein at least one of the first function and the second function is a random function. ### Claim 11 (depends on 1) The sample identification method using a chemical sensor according to claim 1, wherein the sensor signals descriptive of the unknown sample and the sensor signals descriptive of the known sample are subjected to time discretization. ### Claim 12 A sample evaluation method, comprising: providing a sensor having a plurality of channels, wherein a behavior of each channel is expressed by a combination of a uniform sample input function and a transfer function that is unique to each channel and responds differently to a different sample; subjecting a known sample to the sensor and obtaining a first response of a transfer function to the known sample with respect to a respective at least some of the channels; subjecting an unknown sample to the sensor and obtaining a second response of a transfer function to the unknown sample with respect to the respective at least some of the channels; performing one of a first comparison and a second comparison to evaluate whether the unknown sample is identical to the known sample, wherein the first comparison comprises: relating a first response and a second response of a corresponding channel to determine a first relationship between them with respect to a respective at least some of the channels subjected to with the unknown sample and the known sample; and comparing a determined first relationship and another determined first relationship with respect to a respective at least some of the determined first relationships to determine correlations among the at least some of the determined first relationships; the second comparison comprises: relating a first response to another first response to determine a second relationship between a pair of channels with respect to a respective at least some of the channels subjected to with the identified sample; relating a second response to another second response to determine a third relationship between a pair of channels with respect to the respective at least some of the channels subjected to with the unknown sample; and comparing a determined second relationship and a determined third relationship of a corresponding pair of channels to determine correlations among at least some of pairs of the channels; and evaluating the correlations from one of the first and second comparisons to determine whether the unknown sample is identical to the known sample. ### Claim 13 (depends on 12) The sample evaluation method according to claim 12, wherein comparing comprises comparing in one of a time domain and a frequency domain.