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AI in Marine Toxicology: Automated Detection of Biotoxins in Seafood
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Salimeh Khanamani Falahati-pour   , Reza Hosseiniara * |
| Biochemistry and Nutrition in Metabolic Diseases Research Center, Kashan University of Medical Sciences, Kashan, Iran , hosseiniara7@gmail.com |
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Abstract: (102 Views) |
Marine biotoxins, produced by harmful algal blooms, pose significant threats to public health and the seafood industry, necessitating advanced detection methods. Traditional approaches, such as mouse bioassays and chromatography, are often slow, costly, and ethically concerning. The integration of artificial intelligence (AI) with biosensor technology offers a transformative approach to enhance the speed, accuracy, and efficiency of detecting these toxins. This review explores the current state of biosensors for marine biotoxin detection and examines how AI can automate and optimize these systems. By leveraging machine learning and deep learning algorithms, AI enables rapid data analysis, pattern recognition, and predictive modeling, paving the way for real-time monitoring and early warning systems. Despite challenges such as the need for standardized datasets and regulatory approval, the integration of AI with biosensors holds immense promise for revolutionizing marine toxicology and ensuring safer seafood consumption. This article synthesizes recent advancements in biosensor technology and AI applications, providing a comprehensive overview of their potential impact on public health and food safety.
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| Keywords: Marine Biotoxins, Artificial Intelligence, Biosensors, Seafood Safety, Real-Time Monitoring |
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Type of Study: Review |
Subject:
Marine Medicine
Received: 2025/05/19 | Accepted: 2025/06/7 | Published: 2025/06/20
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