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Control of off-flavor compounds in a full-scale recirculating aquaculture system rearing rainbow trout <i>Oncorhynchus mykiss</i>

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DataCite Commons2022-05-12 更新2024-07-28 收录
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https://tandf.figshare.com/articles/dataset/Control_of_off-flavor_compounds_in_a_full-scale_recirculating_aquaculture_system_rearing_rainbow_trout_i_Oncorhynchus_mykiss_i_/13502288
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Fish is increasingly produced in recirculating aquaculture systems (RAS), which can offer some production and environmental benefits. Unfortunately, there is a tendency to develop off-flavors in RAS, mainly caused by geosmin (GSM) and 2-methyl isoborneol (MIB) accumulating in the fish flesh from the circulating water. These off-flavors are objectionable to consumers, reducing the profitability of production and causing an unwanted reputation for this fish production sector. In this study, combinations of oxidative chemicals: ozone (O<sub>3</sub>), hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>), and peracetic acid (PAA) were applied in a commercial, full-scale (1.3 M kg a<sup>−1</sup>) RAS rearing rainbow trout (<i>Oncorhynchus mykiss</i>). Inlet water from a nearby lake, circulating water, and depuration water were treated to increase their quality and enhance the depuration procedure. The results showed a decrease of 77% (MIB) and 93% (GSM) in the concentrations of off-flavors in circulating water after the treatments with oxidative chemicals.

循环水养殖系统(Recirculating Aquaculture Systems, RAS)已越来越多地应用于鱼类规模化生产,该系统可在生产效率与环境保护层面带来多重益处。但遗憾的是,RAS养殖过程中易产生异味问题,这类异味主要由循环水中的土臭素(Geosmin, GSM)与2-甲基异茨醇(2-methyl isoborneol, MIB)在鱼肉中富集所导致。此类异味会令消费者难以接受,不仅降低养殖生产的盈利能力,还会给该鱼类养殖行业带来不良声誉。本研究针对年产量1.3×10⁶ kg·a⁻¹的商业化全规模虹鳟(Oncorhynchus mykiss)养殖RAS,采用臭氧(O₃)、过氧化氢(H₂O₂)与过氧乙酸(PAA)三类氧化药剂的组合处理方案。对取自附近湖泊的进水、循环水以及净化水进行处理,以提升水质并优化净化流程。试验结果表明,经氧化药剂处理后,循环水中的异味物质浓度分别下降了77%(针对MIB)与93%(针对GSM)。
提供机构:
Taylor & Francis
创建时间:
2020-12-30
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集聚焦于循环水养殖系统中虹鳟鱼异味化合物的控制研究,通过应用臭氧、过氧化氢和过氧乙酸等氧化化学物质,在商业规模系统中显著降低了异味化合物浓度(MIB减少77%,GSM减少93%)。数据集包含补充图表文件,发布于2020年,涉及生物化学和环境科学等多个类别,旨在提高水质和养殖效益。
以上内容由遇见数据集搜集并总结生成
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