Nanoconfinement engineering for enchanced adsorption of carbon materials,metal–organic frameworks,mesoporous silica,MXenes and porous organic polymers: a review

In material synthesis, nanoconfinement acts both as a physical reactor to tune the shape and size of nanomaterials, and as a chemical microenvironment for the nucleation and growth of nanoconfined substances, resulting in unique material properties. This nanoconfinement effect has been extensively applied to synthesize materials for hydrogen storage, catalysis and separation for environmental protection. Here, we review methods to construct nanoconfined space in carbon materials, metal–organic frameworks, mesoporous silica, porous organic polymers and MXenes, a class of two-dimensional inorganic compounds. We discuss nanoconfinement for enhanced adsorption with focus on covering size and dispersion, crystallization and stability, confined water and coordination.

     

基于傅里叶变换红外光谱技术分析壬基酚和双酚A对斑马鱼胚胎的影响

壬基酚(4-NP)和双酚A(BPA)是2种在环境中普遍检出的雌激素物质,已经在地表水中广泛检出,且浓度很高。壬基酚和双酚A在地表水中检测浓度最高分别达到了644μg·L^(-1)和12μg·L(-1)和12μg·L^(-1)。目前有大量研究表明壬基酚和双酚A具有环境内分泌干扰效应,但是较少研究利用傅里叶变换红外光谱技术分析这2种物质对斑马鱼胚胎生理生化的影响。傅里叶变换红外光谱作为一种基于官能团和极性键振动结构分析技术,已广泛用于大分子化合物结构分析以及蛋白质的二级结构解析,是获取分子结构信息的有力工具,经常用于毒理学领域。本研究基于傅里叶变换红外光谱技术,分析了壬基酚和双酚A对斑马鱼胚胎的毒性。结果表明,当壬基酚≥322μg·L(-1)。目前有大量研究表明壬基酚和双酚A具有环境内分泌干扰效应,但是较少研究利用傅里叶变换红外光谱技术分析这2种物质对斑马鱼胚胎生理生化的影响。傅里叶变换红外光谱作为一种基于官能团和极性键振动结构分析技术,已广泛用于大分子化合物结构分析以及蛋白质的二级结构解析,是获取分子结构信息的有力工具,经常用于毒理学领域。本研究基于傅里叶变换红外光谱技术,分析了壬基酚和双酚A对斑马鱼胚胎的毒性。结果表明,当壬基酚≥322μg·L^(-1)时,斑马鱼胚胎72 hpf孵化率分别只有33%、5%、0%、0%和0%;同时,暴露96 h时,可显著降低斑马鱼胚胎的存活率和增加致畸指数,且呈浓度依赖特征。特别是849.5μg·L(-1)时,斑马鱼胚胎72 hpf孵化率分别只有33%、5%、0%、0%和0%;同时,暴露96 h时,可显著降低斑马鱼胚胎的存活率和增加致畸指数,且呈浓度依赖特征。特别是849.5μg·L^(-1)和1 038.5μg·L(-1)和1 038.5μg·L^(-1)壬基酚暴露后,斑马鱼胚胎全部死亡。类似地,当双酚A≥5.55 mg·L(-1)壬基酚暴露后,斑马鱼胚胎全部死亡。类似地,当双酚A≥5.55 mg·L^(-1)时,斑马鱼胚胎72 hpf孵化率分别只有30%、0%、0%和0%;暴露96 h时,双酚A≥7.5 mg·L(-1)时,斑马鱼胚胎72 hpf孵化率分别只有30%、0%、0%和0%;暴露96 h时,双酚A≥7.5 mg·L^(-1)也导致斑马鱼胚胎的存活率显著下降和增加致畸指数,并随着浓度升高毒性增大。以胚胎死亡率和致畸形指数作为效应终点,壬基酚对斑马鱼胚胎的96 h-LC_(50)和EC_(50)分别为481.7μg·L(-1)也导致斑马鱼胚胎的存活率显著下降和增加致畸指数,并随着浓度升高毒性增大。以胚胎死亡率和致畸形指数作为效应终点,壬基酚对斑马鱼胚胎的96 h-LC_(50)和EC_(50)分别为481.7μg·L^(-1)和362.6μg·L(-1)和362.6μg·L^(-1);双酚A对斑马鱼胚胎的96 h-LC_(50)和EC_(50)为8.8 mg·L(-1);双酚A对斑马鱼胚胎的96 h-LC_(50)和EC_(50)为8.8 mg·L^(-1)和7.9 mg·L(-1)和7.9 mg·L^(-1)。红外光谱分析显示,当壬基酚≥158.5μg·L(-1)。红外光谱分析显示,当壬基酚≥158.5μg·L^(-1)时,对酰胺Ⅱ、脂质、蛋白磷酸化等波数有显著影响;当双酚A≥1.75 mg·L(-1)时,对酰胺Ⅱ、脂质、蛋白磷酸化等波数有显著影响;当双酚A≥1.75 mg·L^(-1)时,对酰胺Ⅰ、酰胺Ⅱ、脂质和碳水化合物等波数有显著影响。上述研究结果显示壬基酚和双酚A对斑马鱼存活率、畸形率以及生理生化均有显著的影响。     

Performance investigation of electrochemical assisted HClO/Fe2+ process for the treatment of landfill leachate

Environmental Science and Pollution Research - The feasibility of removal of chemical oxygen demand (COD) and ammonia nitrogen (NH4+–N) from landfill leachate by an electrochemical assisted...     

A modified cyanobacteria prediction model based on cellular automata model using N and P concentration reverse data: a case study in Taihu Lake

The problem of algal bloom caused by eutrophication has attracted global attention. Many scholars have studied the problem associated with algae bloom, but few have carried out dynamic monitoring, instead focusing on the formation mechanism of cyanobacteria. For our study of the Taihu Lake in China, we used Moderate-Resolution Imaging Spectroradiometer (MODIS) and Landsat remote sensing image data from 2017 to establish a prediction model. First, we used MODIS data to retrieve the concentration of N, P, and chlorophyll a in water. Then, we applied the analytic hierarchy process (AHP) model to the inversion results to construct the diffusion potential index. Finally, we used C# to compile the cellular automata (CA) model. We found that the distribution of cyanobacteria predicted by our method was consistent with the algal bloom situation of Taihu Lake in 2017. The results showed that the method effectively predicts the dynamic transfer of cyanobacteria from outbreak to diffusion in a short period of time, which can help decision-makers monitor lake health.

     

Impact of anthropogenic heat emissions on meteorological parameters and air quality in Beijing using a high-resolution model simulation

• The Large scale Urban Consumption of energY model was updated and coupled with WRF. • Anthropogenic heat emissions altered the precipitation and its spatial distribution. • A reasonable AHE scheme could improve the performance of simulated PM_2.5. • AHE aggravated the O₃ pollution in urban areas. Anthropogenic heat emissions (AHE) play an important role in modulating the atmospheric thermodynamic and kinetic properties within the urban planetary boundary layer, particularly in densely populated megacities like Beijing. In this study, we estimate the AHE by using a Large-scale Urban Consumption of energY (LUCY) model and further couple LUCY with a high-resolution regional chemical transport model to evaluate the impact of AHE on atmospheric environment in Beijing. In areas with high AHE, the 2-m temperature (T₂) increased to varying degrees and showed distinct diurnal and seasonal variations with maxima in night and winter. The increase in 10-m wind speed (WS₁₀) and planetary boundary layer height (PBLH) exhibited slight diurnal variations but showed significant seasonal variations. Further, the systematic continuous precipitation increased by 2.1 mm due to the increase in PBLH and water vapor in upper air. In contrast, the precipitation in local thermal convective showers increased little because of the limited water vapor. Meanwhile, the PM_2.5 reduced in areas with high AHE because of the increase in WS₁₀ and PBLH and continued to reduce as the pollution levels increased. In contrast, in areas where prevailing wind direction was opposite to that of thermal circulation caused by AHE, the WS₁₀ reduced, leading to increased PM_2.5. The changes of PM_2.5 illustrated that a reasonable AHE scheme might be an effective means to improve the performance of PM_2.5 simulation. Besides, high AHE aggravated the O₃ pollution in urban areas due to the reduction in NO_x.     

黄河流域甘肃段面源污染估算与空间分析

采用遥感分布式面源污染评估模型（DPeRS）,对2018年黄河流域(甘肃段)面源污染空间分布特征进行分析,具体包括多类型污染量产排特征解析和流域优先管控单元识别。结果表明,污染量上,2018年黄河流域（甘肃段）总氮(TN)、总磷(TP)、氨氮(NH₃^-N)、化学需氧量(COD_Cr)的面源污染排放负荷分别为65.6,11.8,19.1和77.2 kg/km²,入河量分别为836.7,33.3,220.2和1 353.3 t;空间分布上,氮型(TN和NH₃^-N)排放负荷高值区主要分布在流域中部和东部局部地区,流域大部分地区TP排放负荷均较高,COD_Cr面源污染排放负荷高值区分布较为零散。与排放负荷相比,黄河流域（甘肃段）面源污染入河负荷并不突出,这与该地区水资源量少有密切关系。筛选出黄河流域（甘肃段）面源污染优先控制单元15个,面积占比为85.2%,I类优控单元主要分布在庆阳市、天水市、兰州市和白银市等地区,II类优控单元主要分布在甘南藏族自治州,且TN、TP、NH₃^-N和COD_Cr面源污染优控单元识别结果的平均精度达到80%。     

电动汽车车内磁场强度曝露水平监测与分析

针对公众关注的电动汽车运行时车内电磁辐射的影响水平,选取国内外主流车企不同车型的纯电动汽车20辆,利用改进的监测系统开展了不同型号的电动汽车运行时不同工况、座椅、点位的低频磁场监测,同时获取时域和频域数据,了解车内磁场强度水平及频谱的变化及分布规律。通过SPSS软件对监测数据进行了单因素方差分析、相关性分析等统计分析,并对监测数据进行了分类数值统计,对频域数据进行了散点图和频点测值对标分析等。分析发现,车内电磁辐射频率主要集中在100 kHz以下;不同运行工况对电动汽车车内磁场强度的影响显著,加、减速时车内磁场强度最高,怠速时最低,匀速时随着速度提升,磁场强度随之增大;车内不同座椅的磁场曝露水平基本一致,但同一座椅自下而上磁场强度依次递减。     

低能离子诱变产表面活性剂的烃降解菌研究

为有效治理石油污染土壤,从长期遭受石油污染的土壤中筛选出一株烃降解菌8-11作为出发菌,利用低能N+注入烃降解菌进行诱变,在能量为20 keV、剂量为90×2.6×1013ions/cm2条件下筛选出一株高效烃降解菌——诱变菌23。原油摇瓶发酵实验表明诱变菌对原油的降解率达到74%;降解后原油的全烃气相色谱图显示,经过7 d的作用,原油中的正构烷烃完全降解。诱变菌23能够产生大量的生物表面活性物质,傅里叶红外光谱分析表明其产生的生物活性物质为糖脂类化合物,该糖脂类生物表面活性剂能使发酵液的表面张力从空白对照的56.1 mN/m降低为29.3 mN/m。研究表明诱变菌23具有较高的烃降解能力,能有效降低表面张力,具有较大的应用潜力。     

危险化学品活性反应危害及混配危险的规则研究(Ⅻ)

第四十五类 金属卤化物 活性特点: 金属卤化物具有MX-n基团,按结构可分为离子型和共价型金属卤化物.在金属卤化物中,一般说,低价态的金属氟化物大都是离子型卤化物(因氟离子的变形性弱,只有高价金属的氟化物,如六氟化铀才成为共价化合物).