Download file (654 KB)
Download as zip (587 KB)

Collection

Citation

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.

Data origin type: other

Rights:

• In Copyright
  

  © 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.

Keyword: milk, acetone, nanomechanical sensors, Membrane-type Surface stress Sensor (MSS), dairy cows, ketosis

Date published: 2024-05-12

Publisher: IEEE

Journal:

• 2024 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) p. 1-4

Funding:

Manuscript type: Author's version (Accepted manuscript)

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

First published URL: https://doi.org/10.1109/isoen61239.2024.10556299

Related item:

Other identifier(s):

Contact agent:

Updated at: 2024-11-19 10:31:53 +0900

Published on MDR: 2026-06-18 08:26:32 +0900