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生物絮团技术(BFT)在水产养殖业中的应用及未来发展:综述。

The application and future of biofloc technology (BFT) in aquaculture industry: A review.

机构信息

Department of Aquatic Life Medicine, Pukyong National University, Busan, South Korea.

Inland Fisheries Research Institute, National Institute of Fisheries Science, Geumsan, South Korea.

出版信息

J Environ Manage. 2023 Sep 15;342:118237. doi: 10.1016/j.jenvman.2023.118237. Epub 2023 May 31.

Abstract

This review describes the applicability of biofloc technology (BFT) to future aquaculture technologies. BFT is considered an innovative alternative for solving the problems of traditional aquaculture (for example, environmental pollution, high maintenance costs, and low productivity). Extensive research is being conducted to apply BFT to breed and raise many aquatic animal species. In BFT, maintaining an appropriate C:N ratio by adding a carbon source promotes the growth of microorganisms in water and maintains the aquaculture water quality through microbial processes such as nitrification. For the efficient use and sustainability of BFT, various factors such as total suspended solids, water turbidity, temperature, dissolved oxygen, pH, and salinity, stocking density, and light should be considered. The application of the transformative fourth industrial revolution technologies, Information and Communications Technology (ICT) and Internet of Things (IoT), to aquaculture can reduce the risk factors and manual interventions in aquaculture through automation and intelligence. The combination of ICT/IoT with BFT can enable real-time monitoring of the necessary elements of BFT farming using various sensors, which is expected to increase productivity by ensuring the growth and health of the organisms being reared.

摘要

本文综述了生物絮团技术(BFT)在未来水产养殖技术中的适用性。BFT 被认为是解决传统水产养殖问题(例如环境污染、高维护成本和低生产力)的一种创新替代方法。目前正在进行广泛的研究,以将 BFT 应用于许多水生动物物种的养殖和饲养。在 BFT 中,通过添加碳源来维持适当的 C:N 比,可以促进水中微生物的生长,并通过硝化等微生物过程来维持养殖水质。为了高效利用和可持续发展 BFT,需要考虑各种因素,例如总悬浮固体、水浊度、温度、溶解氧、pH 值和盐度、放养密度和光照。将第四次工业革命技术——信息和通信技术(ICT)和物联网(IoT)应用于水产养殖,可以通过自动化和智能化降低水产养殖的风险因素和人工干预。将 ICT/IoT 与 BFT 相结合,可以使用各种传感器实时监测 BFT 养殖所需的要素,有望通过确保养殖生物的生长和健康来提高生产力。

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