2023 Fiscal Year Final Research Report
Study on Estimation Method of Stress Level of Fish by Analyzing Ventilatory Signals
| Project/Area Number |
20K06195
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Review Section |
Basic Section 40030:Aquatic bioproduction science-related
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| Research Institution | National Institute of Technology (KOSEN), Kure College |
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Principal Investigator |
HIRANO AKIRA 呉工業高等専門学校, 電気情報工学分野, 准教授 (60594778)
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| Project Period (FY) |
2020-04-01 – 2024-03-31
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| Keywords | 呼吸波 / ストレス推定 |
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| Outline of Final Research Achievements |
Stress levels in fish have been analyzed by measuring blood cortisol concentrations. However, the fish are killed during dissection and blood sampling because blood is drawn from tiny blood vessels. In this study, we investigated the possibility of estimating stress acceptance using bio-signals (ventilatory waves) that can be measured by placing electrodes in water. We confirmed a similar trend to that of humans, in which fluctuations in the breathing interval decrease when the human is under tension. It was suggested that this method could be used to confirm stress acceptance in animals without killing them.
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| Free Research Field |
生体情報工学
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| Academic Significance and Societal Importance of the Research Achievements |
海洋資源の減少問題を受けて，近年，特に海外では養殖業に注目が集まっている．養殖魚にとってストレスの少ない環境を分析する際，個体差を踏まえて分析を試みると，多くの被験魚の犠牲が必要となる．本手法は，魚類のストレス状態を非侵襲的な方法で推定できる．養殖業および観賞魚にとってストレスの少ない環境・水質を分析する場面において役立つ可能性が考えられる．また，従来から取り組んできた「呼吸波の変化から水中への毒物混入を検出する『水質バイオアッセイ法』」に組み込むことで，その性能を一段と高められる可能性がある．
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