Abundance and diversity of Sphingomonas in Shenfu petroleum-wastewater irrigation zone, China

Introduction  

Members of the genus Sphingomonas have raised increasing attention due to their ability for polycyclic aromatic hydrocarbon (PAH) degradation and their ubiquity in the environment. However, few studies have revealed the ecological information on the abundance and diversity of Sphingomonas in the environment.     

锑矿土壤中As和Sb的分布、形态及生物可利用性

采用微波消解-氢化物发生-原子荧光光谱法测定了晴隆锑矿区土壤中总砷和总锑,利用Tessier连续提取法分析土壤中不同形态砷和锑.结果表明,各采样点土壤As、Sb含量分别为17.98—127.85 mg·kg-1、171.93—601.59 mg·kg-1,远高于贵州省背景值;土壤中砷和锑的存在形态均以残渣态为主,其次是有机结合态、铁锰氧化物结合态和碳酸盐结合态,可交换态很少;土壤中生物可利用态锑占总和0.33%—1.72%,其含量为0.60—3.91 mg·kg-1,而土壤中生物可利用态砷占总和0.09%—0.57%,其含量为0.15—0.48 mg·kg-1.     

上海废电池回收实证分析及相关宣传教育对策探讨

回顾了上海市废电池回收过程;通过对2个试点项目实施效果的分析,指出了目前废电池回收存在的误区及原因。在相关宣传教育方面,指出针对废电池回收的宣传教育并未随政策改变而作相应调整,宣传教育形式比较单一,内容相对陈旧,效果不理想。提出了提高公众认识、调整宣教内容、在环境宣传教育中增强专业性和创新性等建议。     

Household solid fuel use with diabetes and fasting blood glucose levels among middle-aged and older adults in China

Environmental Science and Pollution Research - To explore the impacts of household solid fuel use for cooking and heating on diabetes and fasting blood glucose (FBG) levels, we used data from the...     

Integrated risk assessment framework for transformation products of emerging contaminants: what we know and what we should know

● A better risk assessment can combine the improved non-target analysis method. ● Multi-evidence is advised in molecular determination and risk-based prioritization. ● Combining omics, multi-endpoint EDA, and machine learning to assess product risks. The continuous input of various emerging contaminants (ECs) has inevitably introduced large amounts of transformation products (TPs) in natural and engineering water scenarios. Structurally similar to the precursor species, the TPs are expected to possess comparative, if not more serious, environmental properties and risks. This review summarizes the state-of-the-art knowledge regarding the integrated risk assessment frameworks of TPs of ECs, mainly involving the exposure- and effect-driven analysis. The inadequate information within existing frameworks that was essential and critical for developing a better risk assessment framework was discussed. The main strategic improvements include (1) non-targeted product analysis in both laboratory and field samples, (2) omics-based high-throughput toxicity assessment, (3) multichannel-driven mode of action in conjugation with effect-directed analysis, and (4) machine learning technology. Overall, this review provides a concise but comprehensive insight into the optimized strategy for evaluating the environmental risks and screening the key toxic products from the cocktail mixtures of ECs and their TPs in the global water cycle. This facilitates deciphering the mode of toxicity in complex chemical mixtures and prioritizing the regulated TPs among the unknown products, which have the potential to be considered a class of novel “ECs” of great concern.