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. 2025 Aug 25:12:1652115.
doi: 10.3389/fvets.2025.1652115. eCollection 2025.

Using machine learning to predict anesthetic dose in fish: a case study using nutmeg oil

Affiliations

Using machine learning to predict anesthetic dose in fish: a case study using nutmeg oil

Mert Minaz et al. Front Vet Sci. .

Abstract

Application of anesthetic chemicals in aquaculture is important to minimize stress under normal operations such as handling, transport, and artificial breeding. In the past decade, the preference for natural anesthetics over synthetic ones has increased due to welfare issues regarding fish welfare and food safety. This study investigates the anesthetic efficacy of nutmeg oil (Myristica fragrans) in three freshwater fish species-Cyprinus carpio (Common carp), Acipenser gueldenstaedtii (Danube sturgeon), and Oncorhynchus mykiss (Rainbow trout)-by modeling behavioral (Induction and recovery times) and hematological responses using artificial neural networks (ANNs). Experimental data obtained from previous studies were used to develop feed-forward ANN models for each species and parameter. Each model was trained using different activation functions (purelin, tansig, logsig) and optimization algorithms (traingda, trainrp, trains), and the optimal network architecture was selected based on prediction performance for each output variable. The ANN models successfully predicted species-specific responses, revealing distinct sensitivity levels to nutmeg oil. Model performance was assessed using R2, RMSE, and MAPE metrics, and the results revealed strong predictive capabilities of the ANN models across different fish species and physiological parameters. The most accurate models were obtained for WBC across all species, while induction and recovery times varied depending on fish physiology. The study demonstrates that ANN-based modeling can be a powerful tool for predicting optimal anesthetic doses and physiological responses without additional invasive testing. The results provide a scientific foundation for developing species-specific, welfare-limited anesthetic protocols and indicate the potential of artificial intelligence applications to experimental aquaculture practices.

Keywords: Myristica fragrans; artificial neural network; fish anesthesia; hematological parameters; species sensitivity.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
The architecture of the neural network. I1, input neuron; w, weight; b, bias; O1, output neuron.
Figure 2
Figure 2
Predicted and actual values of IT, RT, WBC, RBC, HGB, and HCT for common carp. IT, Induction Time; RT, Recovery Time; WBC, White Blood Cell count; RBC, Red Blood Cell count; HGB, Hemoglobin concentration; HCT, Hematocrit level.
Figure 3
Figure 3
Predicted and actual values of IT, RT, WBC, RBC, HGB, and HCT for danube sturgeon. IT, Induction Time; RT, Recovery Time; WBC, White Blood Cell count; RBC, Red Blood Cell count;HGB, Hemoglobin concentration; HCT, Hematocrit level.
Figure 4
Figure 4
Predicted and actual values of IT, RT, WBC, RBC, HGB, and HCT for rainbow trout. IT, Induction Time; RT, Recovery Time; WBC, White Blood Cell count; RBC, Red Blood Cell count; HGB, Hemoglobin concentration; HCT, Hematocrit level.

References

    1. Ross LG, Ross B. Anaesthetic and Sedative Techniques for Aquatic Animals - Lindsay G. Ross, Barbara Ross - Google Kitaplar. Ames (IO): Blackwell Publishing; (2008). Available online at: https://books.google.com.tr/books?hl=tr&lr=&id=ghusg7fwLVsC&oi=fnd&pg=PR... (Accessed May 17, 2022).
    1. Hoseini SM, Taheri Mirghaed A, Pagheh E, Hoseinifar SH, Van Doan H. Anesthesia of rainbow trout with citronellal: efficacy and biochemical effects. J Exp Zool Part A Ecol Integr Physiol. (2022) 337:227–37. 10.1002/jez.2560 - DOI - PubMed
    1. Taheri Mirghaed A, Hoseini SM, Aydin B, Paolucci M, Hoseinifar SH, van Doan H. Effects of anaesthesia with 1,8-cineole on haematological and plasma stress responses in caspian trout, salmo caspius, subadults. Aquac Res. (2022) 53:893–900. 10.1111/are.15631 - DOI
    1. Ebrahimzadeh Mousavi H, Taheri Mirghaed A, Hoseini SM, Ghelichpour M, Aghaei Moghaddam A, Gharavi B, et al. Myrcene as water conditioner, stress-reducing and antioxidant agent in transportation of common carp, Cyprinus carpio, with plastic bags. Aquac Rep. (2023) 28:101458. 10.1016/j.aqrep.2022.101458 - DOI
    1. Brønstad A. Good anesthesia practice for fish and other aquatics. Biology. (2022) 11:1355. 10.3390/biology11091355 - DOI - PMC - PubMed

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