Impact of dissolved organic matter on the photolysis of the ionizable antibiotic norfloxacin

Norfloxacin (NOR), an ionizable antibiotic frequently used in the aquaculture industry, has aroused public concern due to its persistence, bacterial resistance, and environmental ubiquity. Therefore, we investigated the photolysis of different species of NOR and the impact of a ubiquitous component of natural water — dissolved organic matter (DOM), which has a special photochemical activity and normally acts as a sensitizer or inhibiter in the photolysis of diverse organics; furthermore, scavenging experiments combined with electron paramagnetic resonance (EPR) were performed to evaluate the transformation of NOR in water. The results demonstated that NOR underwent direct photolysis and self-sensitized photolysis via hydroxyl radical (·OH) and singlet oxygen (¹O₂) based on the scavenging experiments. In addition, DOM was found to influence the photolysis of different NOR species, and its impact was related to the concentration of DOM and type of NOR species. Photolysis of cationic NOR was photosensitized by DOM at low concentration, while zwitterionic and anionic NOR were photoinhibited by DOM, where quenching of UOH predominated according to EPR experiments, accompanied by possible participation of excited triplet-state NOR and ¹O₂. Photo-intermediate identification of different NOR species in solutions with/without DOM indicated that NOR underwent different photodegradation pathways including dechlorination, cleavage of the piperazine side chain and photooxidation, and DOM had little impact on the distribution but influenced the concentration evolution of photolysis intermediates. The results implied that for accurate ecological risk assessment of emerging ionizable pollutants, the impact of DOM on the environmental photochemical behavior of all dissociated species should not be ignored.     

上海市降水过程中汞的浓度变化研究

为了研究降水过程中汞浓度变化规律,采集了上海市区2009年7月6日一次连续降水过程中的分时段12个雨水样品,利用冷原子荧光测汞仪测定了总汞、溶解态汞和颗粒态汞浓度.分析结果显示,降水过程各时段雨水样品的总汞浓度变化范围为0.26～0.53 μg·L-1之间,其中溶解态汞占总汞的比例为67.9％～96.8％;总汞浓度和颗粒态汞浓度的总体变化规律较一致,降水事件的前30分钟内浓度较高,之后逐渐降低,最终趋于稳定;溶解态汞浓度从降水事件开始由高到低逐渐变化,最终也趋于稳定.通过清除比计算云下冲刷过程对雨水中总汞浓度的贡献,发现云下冲刷的贡献大于40.9％.     

固定源细颗粒物稀释测试法现场应用存在问题及影响因素分析研究

对基于大气环境的稀释测试法在现场应用中存在的主要问题进行了归纳总结,并对若干影响细颗粒物测试结果的重要因素进行了分析,诸如停留时间、稀释比、采样时间等因素,期望能够对该法测试系统的后续改进或重新设计提供实际问题导向,同时也能够对该领域现场工作的科研人员提供非常有用的经验。     

混凝-超滤处理径流雨水效果——以华南地区为例

采用超滤膜(UF)为核心,以混凝作为预处理措施,对混凝-超滤工艺处理径流雨水的特性和膜通量变化与污染现象进行了研究,并对聚合硫酸铁(PFS)单独混凝、UF、PFS-UF组合工艺进行了对比;在优化混凝基础上,考察了混凝-UF对常规水质指标及总磷、生物可同化有机碳(AOC)、可生物降解溶解性有机碳(BDOC)等生物稳定性指标的去除效果.结果表明,混凝可有效去除TOC、UV254和总磷,混凝剂投加量与污染物去除近似呈线性关系.各混凝剂除浊效能均良好.综合考虑混凝处理效率与经济性,实验采用混凝方案为10 mg·L-1的PFS.PFS、UF、PFS-UF工艺除浊率均在95%以上,PFS和UF对TOC和UV254的去除较为接近,采用PFS-UF可提高去除率13%—15%;PFS-UF处理后雨水的AOC、BDOC分别降低至61.8μg·L-1、0.19 mg·L-1,残余总磷可降至3.8μg·L-1,雨水生物稳定性明显提高.PFS、UF和PFS-UF对颗粒物的去除率分别达80.5%、99.6%和99.9%.膜通量的变化和SEM图分析表明,混凝在一定程度上减轻了UF膜污染;形成的凝胶层具有一定整体强度,水力清洗时易于清除,膜通量恢复较好;但同时凝胶层的产生也增大了透膜阻力,PFS-UF工艺的周期内膜通量衰减有增加的趋势.     

北京10个常绿树种颗粒物吸附能力研究

大气中颗粒物PM(particulate matter)不仅造成环境污染,还对人体造成严重的危害.城市绿色植物作为大气过滤器,能够有效地提高城市空气质量,保护人体健康.因此了解不同树种对空气颗粒物的吸附滞纳作用是必要的.以北京植物园10种常绿植被为研究对象,应用空气气溶胶再发生器(QRJZFSQ-I)测定了北京市常见6种乔木和4种灌木叶片对空气总悬浮颗粒物(TSP)、PM10、PM2.5和PM1.0的吸附能力.结果表明:1不同树种叶片表面附着颗粒物的能力差异明显,最高的是雪松(Cedrus deodara)和油松(Pinus tabuliformis),吸附量分别是(18.95±0.71)μg·cm-2和(14.61±0.78)μg·cm-2,冷杉(Abies fabri)最小,为(8.02±0.4)μg·cm-2;2不同树种叶片单位面积对不同颗粒物的附着能力也存在差异,附着PM10能力最强的是油松和雪松,附着PM2.5能力最强的是雪松、铺地柏(Juniperus procumbens)、龙柏(Juniperus chinensis cv.kaizuka)和油松,附着PM1.0能力最强的是雪松、铺地柏、冷杉和油松;3不同月份叶片上附着的各粒级颗粒物(PM10、PM2.5)占TSP的比例不同.其中PM10在4~6月之间主要表现两种变化趋势,一是先上升后下降,主要为灌木树种;二是逐渐上升,主要的树种是乔木树种.而PM2.5则没有这种明显的变化趋势.     

皖南地区铜陵市大气颗粒物污染特征及潜在源研究

利用2018年3月—2021年2月环境和气象数据对皖南地区铜陵市大气颗粒物的污染特征和潜在贡献源进行了系统性研究.铜陵市大气颗粒物污染具有明显的季节变化特征,冬季污染物浓度最高,PM_2.5和PM₁₀平均为（60.3±31.0）μg·m^-3和（89.2±42.2）μg·m^-3.计算发现PM_2.5/PM₁₀超过0.5,铜陵市的大气颗粒物污染问题与细颗粒物关系密切.后向轨迹聚类分析表明铜陵市大气颗粒物的输送路径具有季节性差异.春季以西北、东北和西南方向气流为主,占比83.73%;夏季以东南和南部方向气流为主,占比82.90%;秋季以东北气流为主,占比51.00%;冬季则是以北方和西北气流为主,占比69.81%.其中,冬季气流轨迹所对应的PM_2.5和PM₁₀的浓度最高,平均为59.7和92.0μg·m^-3;夏季最低,平均为23.8和43.8μg·m^-3.潜在源贡献因子（WPSC...     

可燃物化学性质对燃烧释放PM2.5元素成分的影响

通过自主设计的燃烧装置,对云南省6种典型乔木树种的不同器官(枝、叶、皮)室内模拟阴、明燃两种燃烧过程,收集燃烧排放颗粒物(PM_2.5)并测定K、Mg等8种元素排放因子,比较不同燃烧状态释放PM_2.5中元素含量的差异,同时分析各元素排放因子与可燃物自身元素含量之间的相关性.结果表明:可燃物中K、Mg和Ca元素含量较高,范围为(137.74~4670.70) mg/kg,微量元素Mn含量突出;阔叶可燃物元素含量普遍高于针叶,器官间元素含量差异显著;燃烧释放PM_2.5中K、Na元素排放因子较高,范围为(0.4269~4.9321)~(0.6311~3.0856) mg/kg,微量元素Zn较高、Cu最少,范围为(0.0409~0.3670)~(0.0029~0.0458) mg/kg,常量元素高于微量;树种间元素排放因子表现针叶高于阔叶,器官间较可燃物自身差异增大;燃烧状态对排放因子存在影响,常量元素普遍表现为明燃>阴燃,微量元素无明显规律;PM_2.5与可燃物各元素含量比值中,Na元素最高,其余元素占比普遍0~1%范围,微量元素含量比高于常量,针叶高于阔叶;可燃物的化学性质对其排放特性影响显著,可燃物与PM_2.5的元素间相关性较高,相关水平普遍达0.600以上,器官间不同元素相关水平表现为:常量元素普遍高于微量元素,针叶略高于阔叶,叶>皮>枝,明燃高于阴燃.     

2016~2020年上海市PM2.5化学组成特征和来源解析

2016~2020年在上海市区和郊区的6个点位开展了颗粒物系统性观测研究,分析了PM_2.5的质量浓度以及水溶性离子、有机碳/元素碳、无机元素等化学组分,并利用正矩阵因子分解模型对PM_2.5的来源进行了解析。结果表明,上海PM_2.5浓度水平呈现下降趋势,年均质量浓度依次为46,43,37,40,39μg/m³,表现为冬高夏低,西高东低的时空分布特征。有机物在PM_2.5中占比最高(30%~32%),不同年份和季节间的差异较小。二次无机离子(硫酸盐、硝酸盐和铵盐)的区域性特征明显,其中硝酸盐的占比在5a间升高最多,且在冬季污染过程中起到了关键作用。解析得到PM_2.5的来源有9类,分别为二次硝酸盐(30.6%)、二次硫酸盐(20.7%)、机动车(12.6%)、工业(8.0%)、生物质燃烧(7.7%)、扬尘(6.5%)、燃煤(5.8%)、海盐(4.8%)和船舶(3.2%)。机动车和船舶等移动源、秸秆焚烧和烟花爆竹燃放等生物质燃烧源的贡献浓度在研究期间呈现下降趋势,体现了相关治理措施的管控效果。     

Impact of pre-oxidation on the formation of byproducts in algae-laden water disinfection: Insights from fluorescent and molecular weight

Pre-oxidation has been reported to be an effective way to remove algal cells in water, but the released algal organic matter (AOM) could be oxidized and lead to the increment in disinfection by-product (DBP) formation. The relationship between pre-oxidation and AOM-derived DBP formation needs to be approached more precisely. This study compared the impact of four pre-oxidants, ozone (O₃), chlorine dioxide (ClO₂), potassium permanganate (KMnO₄) and sodium hypochlorite (NaClO), on the formation of nitrogenous (N-) and carbonaceous (C-) DBPs in AOM chlorination. The characterization (fluorescent properties, molecular weight distribution and amino acids concentration) on AOM samples showed that the characterization properties variations after pre-oxidation were highly dependent on the oxidizing ability of oxidants. The disinfection experiments showed that O₃ increased DBP formation most significantly, which was consistent with the result of characterization properties variations. Then canonical correspondent analysis (CCA) and Pearson's correlation analysis were conducted based on the characterization data and DBP formation. CCA indicated that C-DBPs formation was highly dependent on fluorescent data. The formation of haloacetic acids (HAAs) had a positive correlation with aromatic protein-like component while trichloromethane (TCM) had a positive correlation with fulvic acid-like component. Pearson's correlation analysis showed that low molecular weight fractions were favorable to form N-DBPs. Therefore, characterization data could provide the advantages in the control of DBP formation, which further revealed that KMnO₄ and ClO₂ were better options for removing algal cells as well as limiting DBP formation.     

An integrative analysis of miRNA and mRNA expression in the brains of Alzheimer's disease transgenic mice after real-world PM2.5 exposure

Fine particulatematter (PM2.5) is associated with increased risks of Alzheimer’s disease (AD),yet the toxicologicalmechanisms of PM2.5 promoting AD remain unclear. In this study,wildtype and APP/PS1 transgenic mice (AD mice) were exposed to either filtered air (FA) or PM2.5 for eight weeks with a real-world exposure system in Taiyuan, China (mean PM2.5 concentration in the cage was 61 μg/m3). We found that PM2.5 exposure could remarkably aggravate AD mice’s ethological and brain ultrastructural damage, along with the elevation of the pro-inflammatory cytokines (IL-6 and TNF-α), Aβ-42 and AChE levels and the decline of ChAT levels in the brains. Based on high-throughput sequencing results, some differentially expressed (DE) mRNAs and DE miRNAs in the brains of AD mice after PM2.5 exposure were screened.Using RT-qPCR, seven DEmiRNAs (mmu-miR-193b-5p, 122b-5p, 466h-3p, 10b-5p, 1895, 384–5p, and 6412) and six genes (Pcdhgb8, Unc13b, Robo3, Prph, Pter, and Tbata) were evidenced the and verified. Two miRNA-target gene pairs (miR-125b-Pcdhgb8 pair and miR-466h-3p-IL-17Rα/TGF-βR2/Aβ-42/AChE pairs) were demonstrated that they were more related to PM2.5-induced brain injury. Results of Gene Ontology (GO) pathways and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways predicted that synaptic and postsynaptic regulation, axon guidance, Wnt, MAPK, and mTOR pathways might be the possible regulatory mechanisms associated with pathological response. These revealed that PM2.5- elevated pro-inflammatory cytokine levels and PM2.5-altered neurotransmitter levels in AD mice could be the important causes of brain damage and proposed the promising miRNA andmRNA biomarkers and potentialmiRNA-mRNA interaction networks of PM2.5-promoted AD.