Assessing the feasibility of marine animal tissue culture for lab-grown seafood in maritime systems

Document Type : Research Paper

Authors

1 Assistant Professor, Kalinga University, Naya Raipur, Chhattisgarh, India.

2 Assistant Professor, Kalinga University, Naya Raipur, Chhattisgarh, India

Abstract

Objective
The current study attempts to explore the viability of using marine animal TC to generate seafood in laboratories. The current work focuses on exploring the biological and technical constraints associated with the large-scale culturing of marine organisms, especially in generating CBS. The current research is expected to shed light on the potential of CBS as a sustainable alternative in the seafood sector.
Materials and Methods
Tissue cultures of marine organisms, which include fish and crustaceans, have been utilized to assess the viability of producing CBS on a large scale. This includes the use of cell line generation, the creation of serum-free media, and the design of bioreactors. The integration of genetic engineering with conventional AC techniques was used to establish an ideal growth environment for the cells. Several culture conditions were assessed, including resistance to hypoxia, regulation of pH, and adaptation to low temperatures.
Results
This experiment indicated that marine animal cells, especially those from fish and crustaceans’ muscles, were better adapted to hypoxia and low temperatures than terrestrial cells. This is beneficial for CBS fabrication since it facilitates effective growth and differentiation of cells in the bioreactor. Furthermore, cell cultures derived from fish tissues were capable of forming tissue-like constructs on biodegradable scaffolds, which could pave the way for growing seafood in the laboratory. However, there were challenges associated with the creation of serum-free medium and bioreactor design.
Conclusion
In conclusion, marine animal tissue culture can potentially be used as a viable technology for growing seafood sustainably. While there are a myriad of physiological benefits associated with using marine cells in the manufacture of cultured seafood, much remains to be accomplished in addressing some technical challenges in this area, including the development of serum-free medium, culturing of cell lines, and bioreactor design. Solving these problems could usher in a paradigm shift in the industry, offering a sustainable solution to the burgeoning global demand for seafood.

Keywords

References

Badr-Eldin, S. M., Aldawsari, H. M., Kotta, S., Deb, P. K., & Venugopala, K. N. (2022). Three-dimensional in vitro cell culture models for efficient drug discovery: Progress so far and future prospects. Pharmaceuticals, 15(8), Article 926. https://doi.org/10.3390/ph15080926
Chandrasekharan, G., & Radhakrishnan, R. (2025). Assessing AI-driven information retrieval systems for real-time marine traffic monitoring. Indian Journal of Information Sources and Services, 15(4), 230–235. https://doi.org/10.51983/ijiss-2025.IJISS.15.4.26
Ganesan, A., Sethuraman, P., & Balamurugan, S. (2024). The impact of geology on environmental management in mining operations. Archives for Technical Sciences, 2(31), 86–93. https://doi.org/10.70102/afts.2024.1631.086
Goswami, M., Ovissipour, R., Bomkamp, C., Nitin, N., Lakra, W., Post, M., & Kaplan, D. L. (2024). Cell-cultivated aquatic food products: Emerging production systems for seafood. Journal of Biological Engineering, 18(1), Article 43. https://doi.org/10.1186/s13036-024-00436-1
Hajam, Y. A., Kumar, R., & Kumar, A. (2023). Environmental waste management strategies and vermi transformation for sustainable development. Environmental Challenges, 13, Article 100747. https://doi.org/10.1016/j.envc.2023.100747
Kwon, Y. S., Kang, H., & Pyo, J. (2024). Estimation of aquatic ecosystem health using deep neural network with nonlinear data mapping. Ecological Informatics, 81, Article 102588. https://doi.org/10.1016/j.ecoinf.2024.102588
Maja, M. M., & Ayano, S. F. (2021). The impact of population growth on natural resources and farmers’ capacity to adapt to climate change in low-income countries. Earth Systems and Environment, 5, 271–283. https://doi.org/10.1007/s41748-021-00209-6
Mohammadabadi, M., Oleshko, V., Oleshko, O., Heiko, L., Starostenko, I., Kunovskii, J., Bazaeva, A., & Roudbari, Z. (2021b). Using inter simple sequence repeat multi-loci markers for studying genetic diversity in guppy fish. Turkish Journal of Fisheries and Aquatic Sciences, 21, 603–613. https://doi.org/10.4194/1303-2712-v21_12_03
Morro, B., Davidson, K., Adams, T. P., Falconer, L., Holloway, M., Dale, A., ... & Rey-Planellas, S. (2022). Offshore aquaculture of finfish: Big expectations at sea. Reviews in Aquaculture, 14(2), 791–815. https://doi.org/10.1111/raq.12625
Myoa, Z., Pyo, H., & Mon, M. (2023). Leveraging real-world evidence in pharmacovigilance reporting. Clinical Journal for Medicine, Health and Pharmacy, 1(1), 48–63. https://cjmhp.com/index.php/journal/article/view/1.1.04
Samarajeewa, U. (2023). Emerging challenges in maintaining marine food-fish availability and food safety. Comprehensive Reviews in Food Science and Food Safety, 22(6), 4734–4757. https://doi.org/10.1111/1541-4337.13239
Sen, K. K., Karmaker, S. C., Chapman, A. J., & Saha, B. B. (2025). Women’s empowerment in driving the energy transition for sustainable development in developing nations. Renewable and Sustainable Energy Reviews, 216, Article 115647. https://doi.org/10.1016/j.rser.2025.115647
Setthawong, P., Jantrachotechatchawan, C., Netmanee, S., Tandikul, N., Ariyachet, C., Phuthong, W., & Srikulnath, K. (2026). In vitro fish cell culture: From primary muscle cells to cell-based meat in Cyprinidae. Biology, 15(3), Article 291. https://doi.org/10.3390/biology15030291
Wang, Y., Hamid, N., Jia, P. P., & Pei, D. S. (2021). A comprehensive review on genetically modified fish: Key techniques, applications, and future prospects. Reviews in Aquaculture, 13(3), 1635–1660. https://doi.org/10.1111/raq.12538
Xu, Y., Zhang, Y., & Wu, T. (2024). Wireless power transfer efficiency optimization tracking method based on full current mode impedance matching. Sensors, 24(9), Article 2917. https://doi.org/10.3390/s24092917
Yan, J., Zhao, Z., Wang, X., & Xie, J. (2024). Hydrogen sulfide in seafood: Formation, hazards, and control. Trends in Food Science & Technology, 104512. https://doi.org/10.1016/j.tifs.2024.104512
Yogamadhavan, V. K., & Mannayee, G. (2024). An evaluation of various deep convolutional networks for the development of a vision system for the classification of domestic solid street waste. Journal of Internet Services and Information Security, 14(2), 268–283. https://doi.org/10.58346/JISIS.2024.I2.017
Zhang, R., Chen, T., Wang, Y., & Short, M. (2023). Systems approach for sustainable fisheries: A comprehensive review and future perspectives. Sustainable Production and Consumption, 41, 242–252. https://doi.org/10.1016/j.spc.2023.08.013
Zigui, L., Caluyo, F., Hernandez, R., Sarmiento, J., & Rosales, C. A. (2024). Improving communication networks to transfer data in real time for environmental monitoring and data collection. Natural and Engineering Sciences, 9(2), 198–212. https://doi.org/10.28978/nesciences.1569561
Agricultural Biotechnology Journal
Volume 18, Issue 4
August 2026
Pages 539-552

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