# Sorption-induced static mode nanomechanical sensing with viscoelastic receptor layers for multistep injection-purge cycles

https://mdr.nims.go.jp/datasets/f76d179b-0996-43a8-a69d-a180d6094a5e

## File

- [JApplPhys_2021-129-124503.pdf](https://mdr.nims.go.jp/filesets/b39b4280-b471-4429-a4fd-ce70c0877ff1/download) ([Detail](https://mdr.nims.go.jp/filesets/b39b4280-b471-4429-a4fd-ce70c0877ff1.md))

## Id

f76d179b-0996-43a8-a69d-a180d6094a5e

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2023-07-21T05:37:44.491566Z

## Updated at

2024-01-05T13:14:01.962148Z

## Published at

2023-07-25T04:55:29.543320Z

## Doi



## First published url

https://doi.org/10.1063/5.0039045

## Date published

2021-03-28

## Recorded date published

2021-3-28

## Resource type

journal_article

## Manuscript type

vor

## Collection



## Title

- title: Sorption-induced static mode nanomechanical sensing with viscoelastic receptor
    layers for multistep injection-purge cycles
  title_type: original
  lang: en

## Description

- description: Nanomechanical sensors and their arrays have been attracting significant
    attention for detecting, distinguishing, and identifying target analytes. In the
    static mode operation, sensing signals are obtained by a concentration-dependent
    sorption-induced mechanical strain/stress. The analytical models for the static
    mode nanomechanical sensing with viscoelastic receptor layers have been proposed,
    while they are not formulated for practical conditions, such as multistep injection–purge
    cycles. Here, we derive an analytical model of viscoelastic material-based nanomechanical
    sensing by extending the theoretical model via solving differential equations
    with recurrence relations. The presented model is capable of reproducing the transient
    behaviors observed in the experimental signal responses with multistep injection-
    purge cycles, including drifts and/or changes in the baseline. Moreover, this
    model can be utilized for extracting viscoelastic properties of the receptor material/analyte
    pairs as well as the concentrations of analytes accurately by fitting a couple
    of injection–purge curves obtained from the experimental data. The parameters
    of the model that best fit the data can be used for predicting the entire signal
    response.
  description_type: abstract
  lang: eng

## 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: 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: AIP Publishing

## Managing organization



## Keyword

- subject: nanomechanical sensors
  schema: not_defined
- subject: sorption kinetics
  schema: not_defined

## Rights

- identifier: https://creativecommons.org/licenses/by/4.0/

## Other identifier(s)



## Data origin



## Embargo



## Journal

- title: JOURNAL OF APPLIED PHYSICS
  issn: '00218979'
  volume: '129'
  issue: '12'
  start_page: 124503
  end_page: 124503

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## Measurement method



## Specimen



## Chemical composition



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## Fileset

- id: b39b4280-b471-4429-a4fd-ce70c0877ff1
  filename: JApplPhys_2021-129-124503.pdf
  content_type: application/pdf
  size: 3910444
  md5: ee986e2ed0b66555ace1caa7b5ae885f

## Thumbnail

fileset_id: b39b4280-b471-4429-a4fd-ce70c0877ff1
filename: JApplPhys_2021-129-124503.pdf