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利用孔石莼(Ulva ohnoi)模拟生物修复受污染的废水。——一种预测性视角。

Modelling bioremediation of contaminated effluents by Ulva ohnoi. - A predictive perspective.

机构信息

Pos-Graduate Program in Biology of Fungi, Algae and Plants, Phycology Laboratory, Department of Botany, Biological Sciences Center, Federal University of Santa Catarina, Florianópolis, 88040-900, Santa Catarina, Brazil.

Pos-Graduate Program in Biotechnology and Biosciences, Phycology Laboratory, Department of Botany, Biological Sciences Center, Federal University of Santa Catarina, Florianópolis, 88040-900, Santa Catarina, Brazil.

出版信息

Environ Pollut. 2024 Apr 15;347:123689. doi: 10.1016/j.envpol.2024.123689. Epub 2024 Mar 7.

Abstract

Ulva spp. are tolerant to salinity variations and exhibit easy acclimation, playing an essential role in the depollution of aquatic ecosystems precisely due to their high efficiency in absorbing and accumulating nutrients. For this reason, Ulva spp. becomes an attractive solution for recovering areas that suffer the impacts of problems such as the eutrophication of anthropogenic origin. In addition to being a promising alternative for the blue bioeconomy, it can contribute to the sustainability of economic activities in coastal areas. Therefore, the present study aimed to develop and elucidate the behavior of Ulva ohnoi using predictive surface response models. The algae were grown under different concentrations of nutrient and salinity levels, as predicted by the experimental design, and it was evaluated according to the potential of the biomass to absorb the nutrients, as well as its photosynthetic performance and biochemical parameters. Our study confirmed the high efficiency and preference of Ulva ohnoi in the absorption of nitrogen dissolved in the medium in the form of NH and that salinity is an essential factor in the dynamics and speed of ammonium absorption. The absorption of orthophosphate by U. ohnoi is reverted to the culture medium when subjected to long-term cultivation. This process was more intense because of low salinity, even at conditions of availability of the compound. The 3D-models of response surfaces elucidate the behavior of Ulva ohnoi, attributing a correlation between nutrient availability and salinity and the biological behavior of the species. In view of what is exposed by these models, as well as the effects of saline distribution along the Lagoon, the following regions of the lagoon are suggested: Center-North, Center and South - as potential areas for the implementation of bioremediation projects with Ulva ohnoi.

摘要

石莼属(Ulva spp.)对盐度变化具有较强的耐受性,且易于适应,由于其高效吸收和积累营养物质的能力,在水生态系统的净化中发挥着重要作用。正因为如此,石莼属(Ulva spp.)成为受人为富营养化等问题影响的恢复区域的一个有吸引力的解决方案。除了作为蓝色生物经济的有前途的替代方案外,它还可以为沿海地区的经济活动的可持续性做出贡献。因此,本研究旨在开发和阐明利用预测曲面响应模型的 Ohno 石莼(Ulva ohnoi)的行为。根据实验设计预测的不同营养物质浓度和盐度水平来培养藻类,并根据其生物质吸收营养物质的潜力、光合作用性能和生化参数来进行评估。我们的研究证实了 Ohno 石莼(Ulva ohnoi)在吸收以 NH 形式溶解在介质中的氮方面的高效性和偏好性,并且盐度是铵吸收动力学和速度的重要因素。当长期培养时,U. ohnoi 会将正磷酸盐吸收回培养基中。由于低盐度,即使在化合物可利用的条件下,这种过程也会更加剧烈。响应曲面的 3D 模型阐明了 Ohno 石莼(Ulva ohnoi)的行为,将营养物质的可用性与盐度以及该物种的生物行为联系起来。鉴于这些模型所揭示的内容以及沿泻湖分布的盐分的影响,建议泻湖的以下区域:中北部、中部和南部-作为利用 Ohno 石莼(Ulva ohnoi)实施生物修复项目的潜在区域。

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