Review of the application of quantum dots in the heavy-metal detection

Heavy-metal contamination is a major concern, as excessive heavy metals produce environmental pollution, and the cumulative effects of heavy metals in vivo pose a major threat to human health. There is an urgent need for a rapid, sensitive, and efficient method for detecting heavy metals. Quantum dots (QDs) are in the category of semiconductor nanocrystals whose radii are less than or close to the exciton Bohr radius. QDs possess a potential in the biological and medical fields to function as a new type of fluorescent marker, because of their unique and tunable photophysical properties, which include broad excitation spectrum, narrow emission spectrum, tunable emission wavelengths, and negligible photobleaching. In recent years, QDs made significant progress in quantitative analysis by providing a new approach for determination of chemical content analysis. The aim of this study was to review the research progress of QD detection of heavy metals in water and consider the challenges and future outlook for QD-based sensors for heavy-metal ions.     

森林碳汇资源开发潜力定量评价与研究——以黑龙江省为例

森林碳汇资源是开展森林碳汇贸易的基础。森林碳汇潜力的定量评价,将为森林碳汇贸易提供可靠的依据。在对森林碳汇资源开发潜力的定量方法进行深入研究的基础上,以黑龙江省为案例进行潜力评价,明确了黑龙江省具有巨大的森林碳汇增量潜力,提出了进一步发展森林碳汇贸易及构建森林碳汇交易市场的可行性。     

Diverging response patterns of terrestrial and aquatic species to hydromorphological restoration

Although experiences with ecological restoration continue to accumulate, the effectiveness of restoration for biota remains debated. We complemented a traditional taxonomic analysis approach with information on 56 species traits to uncover the responses of 3 aquatic (fish, macroinvertebrates, macrophytes) and 2 terrestrial (carabid beetles, floodplain vegetation) biotic groups to 43 hydromorphological river restoration projects in Germany. All taxonomic groups responded positively to restoration, as shown by increased taxonomic richness (10–164%) and trait diversity (habitat, dispersal and mobility, size, form, life history, and feeding groups) (15–120%). Responses, however, were stronger for terrestrial than aquatic biota, and, contrary to our expectation, taxonomic responses were stronger than those of traits. Nevertheless, trait analysis provided mechanistic insights into the drivers of community change following restoration. Trait analysis for terrestrial biota indicated restoration success was likely enhanced by lateral connectivity and reestablishment of dynamic processes in the floodplain. The weaker response of aquatic biota suggests recovery was hindered by the persistence of stressors in the aquatic environment, such as degraded water quality, dispersal constraints, and insufficient hydromorphological change. Therefore, river restoration requires combined local- and regional-scale approaches to maximize the response of both aquatic and terrestrial organisms. Due to the contrasting responses of aquatic and terrestrial biota, the planning and assessment of river restoration outcomes should consider effects on both components of riverine landscapes.     

Soil nitrogen transformations under elevated atmospheric CO₂ and O₃ during the soybean growing season

We investigated the influence of elevated CO₂ and O₃ on soil N cycling within the soybean growing season and across soil environments (i.e., rhizosphere and bulk soil) at the Soybean Free Air Concentration Enrichment (SoyFACE) experiment in Illinois, USA. Elevated O₃ decreased soil mineral N likely through a reduction in plant material input and increased denitrification, which was evidenced by the greater abundance of the denitrifier gene nosZ. Elevated CO₂ did not alter the parameters evaluated and both elevated CO₂ and O₃ showed no interactive effects on nitrifier and denitrifier abundance, nor on total and mineral N concentrations. These results indicate that elevated CO₂ may have limited effects on N transformations in soybean agroecosystems. However, elevated O₃ can lead to a decrease in soil N availability in both bulk and rhizosphere soils, and this likely also affects ecosystem productivity by reducing the mineralization rates of plant-derived residues.     

pH、盐度对微生物还原硫酸盐的影响研究

采用厌氧生物处理工艺,研究了在不同盐度下pH连续降低对硫酸盐还原和有机物去除率的影响。实验结果表明,硫酸盐还原菌有很强的适应pH变化的能力,在pH值达到4以下仍有60％的硫酸盐去除率。NaCl浓度由4g／L增加到50g／L抑制了各厌氧菌的活性,导致硫酸盐和有机物去除率的下降,但硫酸盐还原菌耐受性高于产甲烷菌等其他厌氧菌,在NaCl浓度为50g／L下,硫酸盐去除率能达到50％,而有机物去除率则低于30％。qRT—PCR表明了系统菌落中SRB随着环境的变化情况与化学指标结果相一致,该反应器体系中SRB在整个厌氧菌群落中只占了很小部分。     

量化风险评估(QRA)在海上生产设施风险管理中的应用

本文结合在胜利海区实施的量化风险评估工作，对量化风险评估在海上风险管理中的应用作一个简单的介绍。     

一种厌氧微观定量研究新方法

厌氧消化由于低成本和能源回收等优点越来越引起广泛关注.为克服现有方法研究动态厌氧过程的不足,基于微反应器和定量图像分析技术开发出一种新型的污泥层面的微观定量方法.试验首次展示了静态下颗粒污泥产气的动态过程和特点.试验结果重复性好.静态产气可分为3个阶段,分别是高速线性增加阶段、减速增加阶段和低速线性增加阶段.初始有机负荷较高时,高速线性增加阶段比较长,产气速率也比较高.结果表明,微反应器中进行厌氧产甲烷过程是可行的,该方法可靠,能够在微观层面直观地展示厌氧反应的动态过程,研究结果有利于增进对厌氧过程理解.     

河流水污染定量研究进展

水质模型可定量地反映出水质状况与污染物排放之间的关系,从而为进行水质评价与预测、选择污染控制方案以及制定水质标准和排放污染规定提供可靠的依据.文章从建立模型所采用的数学方法角度出发,较为详细的概述了近年来水质模拟的研究进展,并对确定性模型所存在的问题和河流水质模型的发展趋势做出评价.     

燃烧型煤排放可吸入尘中的成分分析

主要运用X 射线荧光光谱的半定量分析方法 ,测量了民用炉灶燃烧型煤排放的可吸入尘中的主要成分 ,从而得出在可吸入尘中的主要元素为Cl、S、Na、K ,并研究了其产生的原因     

用QSAR模型预测苯酚类化合物对发光菌的联合毒性

测定了苯酚与11种取代苯酚对发光菌的单一毒性和毒性单位比为1:4,1:1,4:1二元混合物的联合毒性.采用相加指数法对联合毒性进行了评价,结果表明,苯酚和取代苯酚的二元混合物对发光菌的联合作用以相加作用为主.在此基础上,根据12种苯酚类化合物的单一毒性建立了QSAR方程: -lgEC₅₀=6.158-0.279pKa,对混合物中取代苯酚的毒性进行了预测,预测值与实测值吻合较好.