# [Research Highlights Vol.38] Quantifying Smell with Nanoparticles-functionalized Membrane-type Surface Stress Sensor and “Data-driven” Analysis

https://mdr.nims.go.jp/datasets/df50921f-298b-4ea0-b8c6-233cad7fe884

## Files

- [[Vol. 38]Quantifying Smell with Nanoparticles-functionalized Membrane-type Surface Stress Sensor and тАЬData-drivenтАЭ Analysis_ WPI-MANA.pdf](https://mdr.nims.go.jp/filesets/af0c0e9b-4976-427a-b097-0568b9c85545/download) ([Detail](https://mdr.nims.go.jp/filesets/af0c0e9b-4976-427a-b097-0568b9c85545.md))

## Id

df50921f-298b-4ea0-b8c6-233cad7fe884

## Local identifier

identifier: research-highlights/00038

## Visibility

open_to_public

## State

published

## Created at

2022-06-25T13:59:22.039231Z

## Updated at

2023-12-24T15:30:21.434413Z

## Published at

2022-12-16T05:05:01.020827Z

## Doi

https://doi.org/10.48505/nims.3778

## First published url

https://www.nims.go.jp/mana/research/highlights/vol38.html

## Date published

2018-06-29

## Recorded date published

2018-06-29

## Resource type

magazine

## Manuscript type

vor

## Collection

- id: e1c8d7be-5bbc-4156-96cf-4c0efce6b473
  identifier: https://mdr.nims.go.jp/pid/e1c8d7be-5bbc-4156-96cf-4c0efce6b473
  title: Research Highlights

## Title

- title: "[Research Highlights Vol.38] Quantifying Smell with Nanoparticles-functionalized
    Membrane-type Surface Stress Sensor and “Data-driven” Analysis"
  title_type: original
  lang: en

## Description

- description: Chromatography is widely used for the quantitative identification of
    specific components in mixtures of compounds. For example, quantifying smell requires
    analysis of a complex mixture composed of thousands of chemical compounds. Although
    chromatography systems can be used to do so, the equipment is usually bulky and
    measurement procedures necessitate the time-consuming process to separate all
    the components into single species. Here, Shiba, Tamura, Imamura and Yoshikawa
    at the International Center for Materials Nanoarchitectonics (MANA), Tsukuba,
    Japan, report on combining their invention, the Membrane-type Surface stress Sensor
    (MSS), functionalized nanoparticles, and “data-driven” analysis to quantitatively
    determine the concentration of alcohol from smell data contained in liquors with
    varying alcohol content. Specifically, the surface of the MSS array was covered
    with four types of silica/titania functional nanoparticles that adsorb different
    target molecules in the test samples, and patterns of electrical signals were
    recorded. Next, machine learning was used to analyze the massive amounts of data
    obtained from the electrical signal patterns to establish a prediction model for
    quantifying alcohol concentration of the smell sample. Notably, materials more
    suitable for alcohol smells were selected based on machine learning results, and
    thereby the accuracy of prediction was improved. “The importance of this research
    is not the fact that we determined the alcohol concentration, but that this approach
    enables the quantification of many other arbitrary indices,” says Shiba. “These
    findings have paved the way for applications for quantitative evaluation of natural
    products, which we have demonstrated in collaboration with universities and industry.”
  description_type: abstract
  lang: en

## Creator

- name: International Center for Materials Nanoarchitectonics (WPI-MANA)
  role: author
  organization: National Institute for Materials Science
  ror: https://ror.org/026v1ze26

## Contact agent



## Publisher

organization: National Institute for Materials Science
ror: https://ror.org/026v1ze26

## Managing organization



## Keyword

- subject: Machine Olfaction
  schema: not_defined
- subject: Data Driven Science
  schema: not_defined
- subject: Nanomechanical Sensor
  schema: not_defined
- subject: Nanoparticle
  schema: not_defined
- subject: Polymer
  schema: not_defined
- subject: Functional Silica/Titania Hybrid Nanoparticle
  schema: not_defined

## Rights

- description: In Copyright
  identifier: http://rightsstatements.org/vocab/InC/1.0/

## Other identifier(s)



## Data origin



## Embargo



## Journal

- title: MANA E-BULLETIN
  volume: '38'

## Conference



## Related item

- identifier: https://doi.org/10.1038/s41598-017-03875-7
  identifier_type: DOI
  relation_type: refers
  related_item_type: dataset

## Funding



## Instrument



## Instrument operator



## Instrument managing organization



## Measurement method



## Specimen



## Chemical composition



## Structure for specimen



## Structural feature for specimen



## Specific property for specimen



## Process for specimen treatment



## Computational method



## Energy level/transition state



## Software



## Custom property



## Fileset

- id: af0c0e9b-4976-427a-b097-0568b9c85545
  filename: "[Vol. 38]Quantifying Smell with Nanoparticles-functionalized Membrane-type
    Surface Stress Sensor and тАЬData-drivenтАЭ Analysis_ WPI-MANA.pdf"
  content_type: application/pdf
  size: 130253
  md5: fb7145a091fcaf008092eba759f079f7

## Thumbnail

fileset_id: af0c0e9b-4976-427a-b097-0568b9c85545
filename: "[Vol. 38]Quantifying Smell with Nanoparticles-functionalized Membrane-type
  Surface Stress Sensor and тАЬData-drivenтАЭ Analysis_ WPI-MANA.pdf"