离子束修饰产氢产脂细胞及其净化污水研究

以淡水微藻斜生栅藻(Scenedesmus obliquus)与丛粒藻(Botryococcus braunii) 两种绿藻为实验对象;研究了低能N+离子注入诱变选育优质高效固碳固氮除磷、高产氢斜生栅藻(S．obliquus)以及高产油丛粒藻(B．braunii)突变株的生物学效应、对巢湖富营养化水质净化效果及其产氢产烃效能。结果表明:经过真空干燥藻类存活实验;初步建立了低能离子注入藻类细胞的方法学与快速筛选体系;为进一步开展低能离子注入诱变选育高产油脂与高效产氢及固碳固氮除磷微藻突变株等方面研究提供了科学依据; 研究结果为发展利用离子束改良微藻生物修复巢湖富营养化水域与资源化产氢产脂提供了理论与技术基础

Application of Data Mining and Machine Learning in Toxicology

With the rapid development of high-throughput screening technologies, information on the toxicity of chemicals is growing day by day. The rapid development of computerized methods, such as data mining and machine learning, has provided a new approach to the toxicity prediction and risk control of chemicals. It is very important to establish the framework of ecological risk assessment by integrating a series of effective tools. Among these tools, adverse outcome pathway (AOP) can connect the structure of compounds, molecular initiation events, and adverse effects of organisms, thus can be used for risk assessment and management decisions. Quantitative structure-activity relationship (QSAR) modeling, molecular simulation and multi-omics techniques play important roles in the function of AOP. This review mainly introduces the application methods of data mining and machine learning in toxicology, including QSAR modeling, molecular simulation and omics. The current research focus and direction of computational toxicology were also reviewed with the aim of the better understanding of the big data era

2002–2010年中国典型生态系统辐射及光能利用效率数据集

辐射是陆地生态系统能量的主要来源,其利用效率表现为光能利用率,反映了生态系统转化光能、生成有机物质的能力。揭示典型生态系统的辐射及光能利用效率可以为评估区域光能资源及其利用效率提供参考,也为评估区域有机物质固定能力及碳吸收能力提供依据。基于中国陆地生态系统通量观测研究联盟(China FLUX)的长期观测结果及已发表文献的公开数据,构建了2002–2010年中国典型生态系统辐射及光能利用效率数据集,包含51个生态系统126个站点年辐射、光能利用效率及吸收光能利用效率的观测记录。另外,本数据集还包含生态系统代码、年份、经度、纬度、海拔、生态系统类型、年均气温、年总降水量、年均CO2质量浓度、年均叶面积指数、最大叶面积指数等生物气候信息。本数据集可以为评估生态系统生产能力、应对气候变化等方面的研究提供数据支持