微藻污水处理研究进展

当前,日益增多的污水排放导致了严重的环境问题。与传统污水处理方法相比,微藻污水处理是一种具有独特优势的方法。微藻生长繁殖快,光合效率高,可以有效去除污水中的氮、磷、金属离子及有毒物质等污染物。分析了微藻污水处理几个关键环节的研究和发展,包括藻种的选择、微藻污水处理的体系、微藻对各种类型污水处理的可行性及微藻回收等。指出微藻污水处理的优点以及现阶段存在的问题,并对微藻污水处理的发展前景进行了展望

小球藻对奶牛场沼液处理能力及生物质生产的探究

为资源化处理奶牛场沼液、探究小球藻Chlorella vulgaris NIES-227对奶牛场沼液的处理能力以及生物质利用潜力,在柱式光生物反应器中利用小球藻处理沼液占比分别为25%、50%、75%和100%4种不同浓度的未灭菌污水。研究结果显示,各浓度污水中总氮、总磷和COD的去除率分别为36.0%~92.5%、42.8%~100%和6.9%~32.2%。在沼液占比为25%的污水中氮磷的去除率最高,氨氮、总氮和总磷的去除效率分别可达99.9%、91.0%和100%。微藻在低浓度沼液(25%~50%)中生长状态良好,在沼液占比为50%的污水中可获得最高生物质产率393.6mg(/L·d)。但是在高浓度沼液(75%~100%)中微藻生长受到一定抑制,导致氮磷的去除效果变差。培养期间细菌的数量增长显著,促进了COD的去除。各浓度沼液生物质中总脂、总糖和蛋白质含量分别为13.2%~32.2%、12.3%~27.6%和16.2%~30.9%。实验数据表明,低浓度沼液能产生更多高能量组分的生物质,适合用作生物燃料的开发;高浓度沼液能产生含较多蛋白质的生物质,更适合用作动物饲料

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel

JUNO sensitivity on proton decay p → ν K + searches*

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the $p\to \bar{\nu} K^+$ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar{\nu} K^+$ is 36.9% ± 4.9% with a background level of $0.2\pm 0.05({\rm syst})\pm$$0.2({\rm stat})$ events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is $9.6 \times 10^{33}$ years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies