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Nano-Biotechnology for early detection of harmful algal blooms in coastal waters

Feruza Azizova-Professor, Department of Hygiene for Children and Adolescents , Doctor of Medical Sciences , Vice-Rector for Research and Innovation , Tashkent Medical Academy , UzbekistanBarna Rakhmankulova-Associate Professor, Department of Information Technologies , Tashkent Institute of Irrigation and Agricultural Mechanization Engineers , National Research University , Tashkent , UzbekistanHassan Mohamed- Department of Computers Techniques Engineering , College of Technical Engineering , Islamic University in Najaf , Najaf , Iraq ;Muthu kumarMahliyo Khaydarova-PhD, Associate Professor, Termez State Pedagogical Institute , UzbekistanManish Nandy-Assistant Professor, Department of CS & IT , Kalinga University , Raipur , India
2025en
ABI

Annotatsiya

Harmful algal blooms (HABs) represent a significant and growing threat to marine ecosystems, human health, and coastal economies worldwide. Traditional monitoring and detection methods for HABs, such as microscopy and chromatography, are often timeconsuming, labor-intensive, and incapable of providing real-time data needed for early intervention. Nano-biotechnology offers a transformative approach to HAB detection by integrating nanomaterials with biological recognition elements to create highly sensitive, specific, and rapid biosensing systems. This paper explores recent advancements in nanobiotechnological strategies for early HAB detection, including the use of quantum dots, gold nanoparticles, and graphene-based nanocomposites functionalized with aptamers or antibodies targeting key algal toxins like saxitoxin and domoic acid. Literature indicates that such nano-biosensors can achieve low detection limits, high specificity, and potential for miniaturization and field deployment. However, challenges related to sensor stability in marine environments, biofouling, and scalability remain. We identify key limitations in current detection methods and propose a novel biosensing platform integrating cadmium-free quantum dots with aptamer-based recognition for fluorescence detection, deployed via autonomous monitoring systems. The proposed methodology aims to enable real-time, on-site detection of HABs with improved sensitivity and specificity, contributing to more effective monitoring, early warning systems, and mitigation strategies to protect coastal resources and communities.

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