# Pattern recognition of solid materials by multiple probe gases

https://mdr.nims.go.jp/datasets/5ea1413e-8f06-41c1-b6c3-e4f335cf9729

## File

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## Id

5ea1413e-8f06-41c1-b6c3-e4f335cf9729

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2023-07-28T06:06:23.665747Z

## Updated at

2024-01-05T13:12:14.612790Z

## Published at

2023-07-29T04:30:19.641557Z

## Doi



## First published url

https://doi.org/10.1039/C8MH01169A

## Date published

2018-12-19

## Recorded date published

2019-3-18

## Resource type

journal_article

## Manuscript type

vor

## Collection



## Title

- title: Pattern recognition of solid materials by multiple probe gases
  title_type: original
  lang: en

## Description

- description: A pattern recognition-based chemical sensor array is an efficient approach
    to discriminating odours or complex mixture of gaseous molecules. In such an approach,
    solid materials are coated on surfaces of sensors as probe receptors, and gaseous
    molecules are exposed to those sensors as targets. Here, we propose the reverse
    approach, that is, gaseous molecules as probes and solid materials as targets,
    leading to pattern recognition of solid materials. Using a nanomechanical sensor
    as an example of sensing platform, we have demonstrated that this approach can
    discriminate polymers with different molecular weights as well as those having
    slightly different functional groups evaluated through detailed classification
    using support vector machine in addition to principal component analysis and linear
    discriminant analysis. Classification of those target solid materials with 100%
    accuracy has been achieved with some specific combinations of the probe gases.
    Since any kind of gaseous molecules and any kind of chemical sensors can be utilized
    as the probe and sensing platform, respectively, this study will open a new horizon
    of comprehensive analysis of solid materials through a pattern formed by the gas-solid
    interaction.
  description_type: abstract
  lang: en

## Creator

- name: Kosuke Minami
  role: author
  orcid: https://orcid.org/0000-0003-4145-1118
  organization: National Institute for Materials Science
  ror: https://ror.org/026v1ze26
- name: Gaku Imamura
  role: author
  orcid: https://orcid.org/0000-0002-3130-7190
  organization: National Institute for Materials Science
  ror: https://ror.org/026v1ze26
- name: Takahiro Nemoto
  role: author
  organization: National Institute for Materials Science
  ror: https://ror.org/026v1ze26
- name: Kota Shiba
  role: author
  orcid: https://orcid.org/0000-0001-7775-0318
  organization: National Institute for Materials Science
  ror: https://ror.org/026v1ze26
- name: Genki Yoshikawa
  role: author
  orcid: https://orcid.org/0000-0002-9136-8964
  organization: National Institute for Materials Science
  ror: https://ror.org/026v1ze26

## Contact agent



## Publisher

organization: Royal Society of Chemistry (RSC)

## Managing organization



## Keyword

- subject: nanomechanical sensors
  schema: not_defined
- subject: solid sensing
  schema: not_defined

## Rights

- identifier: https://creativecommons.org/licenses/by-nc-sa/3.0/legalcode

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo



## Journal

- title: MATERIALS HORIZONS
  issn: '20516347'
  volume: '6'
  issue: '3'
  start_page: 580
  end_page: 586

## Conference



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## Specimen



## Chemical composition



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## Fileset

- id: 88c07a54-8dba-47c8-bed3-74cb278d4f28
  filename: c8mh01169a.pdf
  content_type: application/pdf
  size: 2556457
  md5: 52db81acbecd95a241af86bedfab267c
- id: d299dda9-f834-47d4-b472-0596bceb544a
  filename: c8mh01169a1_si.pdf
  content_type: application/pdf
  size: 1906159
  md5: 2df995bef5ef3494518d5e468fa3569e

## Thumbnail

fileset_id: 88c07a54-8dba-47c8-bed3-74cb278d4f28
filename: c8mh01169a.pdf