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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.

データの性質: other

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• 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.

キーワード: milk, acetone, nanomechanical sensors, Membrane-type Surface stress Sensor (MSS), dairy cows, ketosis

刊行年月日: 2024-05-12

出版者: IEEE

掲載誌:

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

研究助成金:

原稿種別: 著者最終稿 (Accepted manuscript)

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

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

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更新時刻: 2024-11-19 10:31:53 +0900

MDRでの公開時刻: 2026-06-18 08:26:32 +0900