Suppr超能文献

微藻处理对水中农药的影响。

Effect of microalgal treatments on pesticides in water.

作者信息

Hultberg Malin, Bodin Hristina, Ardal Embla, Asp Håkan

机构信息

a Department of Biosystems and Technology , Swedish University of Agricultural Sciences , Alnarp , Sweden.

b Division of Natural Sciences , Kristianstad University , Kristianstad , Sweden.

出版信息

Environ Technol. 2016;37(7):893-8. doi: 10.1080/09593330.2015.1089944. Epub 2015 Oct 7.

Abstract

The effect of the microalgae Chlorella vulgaris on a wide range of different pesticides in water was studied. Treatments included short-term exposure (1 h) to living and dead microalgal biomass and long-term exposure (4 days) to actively growing microalgae. The initial pesticide concentration was 63.5 ± 3.9 µg L(-1). There was no significant overall reduction of pesticides after short-term exposure. A significant reduction of the total amount of pesticides was achieved after the long-term exposure to growing microalgae (final concentration 29.7 ± 1.0 µg L(-1)) compared with the long-term control (37.0 ± 1.2 µg L(-1)). The concentrations of 10 pesticides out of 38 tested were significantly lowered in the long-term algal treatment. A high impact of abiotic factors such as sunlight and aeration for pesticide reduction was observed when the initial control (63.5 ± 3.9 µg L(-1)) and the long-term control (37.0 ± 1.2 µg L(-1)) were compared. The results suggest that water treatment using microalgae, natural inhabitants of polluted surface waters, could be further explored not only for removal of inorganic nutrients but also for removal of organic pollutants in water.

摘要

研究了普通小球藻这种微藻对水中多种不同农药的影响。处理方式包括短期暴露(1小时)于活的和死的微藻生物质,以及长期暴露(4天)于活跃生长的微藻。初始农药浓度为63.5±3.9μg L⁻¹。短期暴露后农药总体上没有显著减少。与长期对照(37.0±1.2μg L⁻¹)相比,长期暴露于生长中的微藻后(最终浓度29.7±1.0μg L⁻¹),农药总量显著减少。在长期藻类处理中,38种受试农药中有10种的浓度显著降低。当比较初始对照(63.5±3.9μg L⁻¹)和长期对照(37.0±1.2μg L⁻¹)时,观察到阳光和曝气等非生物因素对农药减少有很大影响。结果表明,利用微藻(污染地表水的天然生物)进行水处理,不仅可以进一步探索去除无机营养物,还可以去除水中的有机污染物。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验