# Detection of acetone in milk through odor towards monitoring of ketosis in dairy cows

https://mdr.nims.go.jp/datasets/4c1badf4-652b-41fb-bfda-5e211269312c

## File

- [MINAMI_ISOEN2024_fin.pdf](https://mdr.nims.go.jp/filesets/ae9b75b9-dbad-4cc6-ad3f-878328d9af60/download) ([Detail](https://mdr.nims.go.jp/filesets/ae9b75b9-dbad-4cc6-ad3f-878328d9af60.md))

## Id

4c1badf4-652b-41fb-bfda-5e211269312c

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2024-11-15T04:51:21.492279Z

## Updated at

2024-11-19T01:31:53.726872Z

## Published at

2026-06-17T23:26:32.720894Z

## Doi

https://doi.org/10.48505/nims.4993

## First published url

https://doi.org/10.1109/isoen61239.2024.10556299

## Date published

2024-05-12

## Recorded date published

2024-5-12

## Resource type

dataset

## Manuscript type

accepted_manuscript

## Collection



## Title

- title: Detection of acetone in milk through odor towards monitoring of ketosis in
    dairy cows
  title_type: original
  lang: en

## Description

- description: Determining subclinical ketosis of dairy cows is of great importance
    in terms of economic losses because ketotic cows even in subclinical ketosis reduce
    milk production. When dairy cows are affected by ketosis, they produce high level
    of ketone bodies including acetone, therefore, the detection of such ketone bodies
    is useful for diagnosis of ketosis. In this study, we demonstrated the detection
    of acetone in milk samples in the range from 1 to 10 ppm in the vapor phase, which
    corresponds to the acetone level of subclinical ketosis in a milk sample, using
    a nanomechanical Membrane-type Surface stress Sensor (MSS). It was proved that
    the signal output clearly correlates to the vapor concentration of acetone with
    ± 0.40 ppm root-mean- square deviation (RMSD). The present study provides a potential
    sensor for non-invasive monitoring of ketosis through milk odor.
  description_type: abstract
  lang: und

## Creator

- name: Kosuke Minami
  role: author
  orcid: https://orcid.org/0000-0003-4145-1118
- name: Masaaki Matoba
  role: author
- name: Ryoh Nakakubo
  role: author
- name: Genki Yoshikawa
  role: author
  orcid: https://orcid.org/0000-0002-9136-8964

## Contact agent



## Publisher

organization: IEEE

## Managing organization



## Keyword

- subject: milk
  schema: not_defined
- subject: acetone
  schema: not_defined
- subject: nanomechanical sensors
  schema: not_defined
- subject: Membrane-type Surface stress Sensor (MSS)
  schema: not_defined
- subject: dairy cows
  schema: not_defined
- subject: ketosis
  schema: not_defined

## Rights

- description: "© 2024 IEEE.  Personal use of this material is permitted.  Permission
    from IEEE must be obtained for all other uses, in any current or future media,
    including reprinting/republishing this material for advertising or promotional
    purposes, creating new collective works, for resale or redistribution to servers
    or lists, or reuse of any copyrighted component of this work in other works."
  identifier: http://rightsstatements.org/vocab/InC/1.0/

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo

start_date: 2024-06-18
end_date: 2026-06-18

## Journal

- title: 2024 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)
  start_page: 1
  end_page: 4

## Conference



## Related item



## 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: ae9b75b9-dbad-4cc6-ad3f-878328d9af60
  filename: MINAMI_ISOEN2024_fin.pdf
  content_type: application/pdf
  size: 670163
  md5: edeab42f8135531ea32ec98f385456c6

## Thumbnail

fileset_id: ae9b75b9-dbad-4cc6-ad3f-878328d9af60
filename: MINAMI_ISOEN2024_fin.pdf