Cu(Ⅱ), Fe(Ⅲ) and Mn(Ⅱ) combinations as environmental stress factors have distinguishing effects on Enterococcus hirae

Pollution by various heavy metals as environmental stress factors might affect bacteria. It was established that iron(Fe(Ⅲ)), manganese(Mn(Ⅱ)) and copper(Cu(Ⅱ)) ion combinations caused effects on Enterococcus hirae that differed from the sum of the effects when the metals were added separately. It was shown that the Cu2+–Fe3+combination decreased the growth and ATPase activity of membrane vesicles of wild-type E. hirae ATCC9790 and atp D mutant(with defective FoF1-ATPase) MS116. Addition of Mn2+–Fe3+combinations within the same concentration range had no effects on growth compared to control(without heavy metals). ATPase activity was increased in the presence of Mn2+–Fe3+, while together with0.2 mmol/L N,N′-dicyclohexylcarbodiimide(DCCD), ATPase activity was decreased compared to control(when only 0.2 mmol/L DCCD was present). These results indicate that heavy metals ion combinations probably affect the FOF1-ATPase, leading to conformational changes. Moreover the action may be direct or be mediated by environment redox potential.The effects observed when Fe3+was added separately disappeared in both cases, which might be a result of competing processes between Fe3+and other heavy metals. These findings are novel and improve the understanding of heavy metals ions effects on bacteria,and could be applied for regulation of stress response patterns in the environment.     

San copolymer membranes with ion exchangers for Cu(II) removal from synthetic wastewater by electrodialysis

Heterogeneous membranes were obtained by using styrene-acrylonitrile copolymer (SAN) blends with low content of ion-exchanger particles (5 wt.%). The membranes obtained by phase inversion were used for the removal of copper ions from synthetic wastewater solutions by electrodialytic separation. The electrodialysis was conducted in a three cell unit, without electrolyte recirculation. The process, under potentiostatic or galvanostatic control, was followed by pH and conductivity measurements in the solution. The electrodialytic performance, evaluated in terms of extraction removal degree (rd) of copper ions, was better under potentiostatic control then by the galvanostatic one and the highest (over 70%) was attained at 8 V. The membrane efficiency at small ion-exchanger load was explained by the migration of resin particles toward the pores surface during the phase inversion. The prepared membranes were characterized by various techniques i.e. optical microscopy, Fourier transform infrared spectroscopy, scanning electron microscopy, thermogravimetric analysis and differential thermal analysis and contact angle measurements.     

水稻秸秆经漆酶预处理后产沼气研究

利用秸秆产沼气是秸秆无害化处理解决环境污染问题的可行手段.本研究针对秸秆特殊结构而导致产沼气少、启动慢、利用率低等问题,采用自培养漆酶预处理水稻秸秆,提高了秸秆产气率及利用率.通过研究发现,当漆酶添加量为40 mL、发酵温度为35℃、预处理7d的条件下,秸秆的产气量最高;同时发现,金属离子的添加对沼气产量有很大影响,其中Cu2添加后产气量提高最多.另外,研究发现预处理天数为24 d的秸秆木质素纤维素降解率最高.     

活性炭纤维电吸附法去除饮用水氟离子方法探究

氟是人体必需的元素,对人体有着重要的生理功能。如果人摄入的氟过量,人体将受到较大危害。除氟的方法有很多,电吸附方法是将传统的吸附技术与电化学方法融合,使得电吸附方法与传统的去离子方法相比具有相当的优势：无二次污染,能量利用率高,操作简单,是具有研究和开发价值的清洁型技术。用活性炭纤维做吸附剂对蒸馏水配制成的含氟水去除率显著,为了达到氟离子去除效果,要调节温度、电极电势以及原液浓度,注意电极与吸附材料的选择。     

水和废水中化学需氧量测定方法的改进研究

在水的CODcr测定中,将30 ml回流量确定为常规检测回流量,可节省浓硫酸和硫酸银用量50%;将消解回流时间从120 min缩短为30 min,已满足对地表水和各类废水中CODcr的准确测定,可节省水电费用75%以上,含氯水样中Cl-的掩蔽研究表明:按国标法用10倍Cl-重量的HgSO4 掩蔽Cl-,加标(CODcr =100 mg/L)回收率为110%~120%左右,用30~40倍Cl -重量的HgSO4 掩蔽Cl-,加标回收率为100%左右,对HgSO4 掩蔽Cl-的条件和机理作了适当探讨.另外,采用加入H2 SO4-后加入HgSO4 的方法可减少HgSO4 的耗用量70%以上.     

通过屋顶暴露方法模拟聚碳酸酯微塑料在长江水样的长期老化行为

由于较低的自然老化速率,微塑料在实际水体长期户外暴露过程中老化行为的数据仍较缺乏.通过聚碳酸酯（Polycarbonate,PC）微塑料在长江表层水样的18个月户外暴露试验以揭示自然老化过程对微塑料表面特征及对金属离子(Cr⁶⁺和Co²⁺)吸附行为的重要影响.结果显示,户外暴露改变了PC微塑料的理化性质,包括表面开裂、粒径降低、亲水性和熔点增加以及表面氧化（产生羰基和羟基）.同时,户外老化过程明显影响微塑料对金属离子的吸附行为.原始和低老化程度PC对金属离子的吸附主要通过物理作用控制,而高老化程度微塑料由于产生含氧功能团对金属离子的吸附主要由化学过程如络合和共价键等作用控制.并且,不同老化程度PC微塑料对Cr⁶⁺和Co²⁺的吸附性能不同.对于Cr⁶⁺,PC的吸附性能随其老化程度增加呈先升高后降低的趋势,然而对于Co²⁺,平衡吸附性能随老化程度增加呈增加的趋势.户外老化过程产生含氧官能团、破碎和开裂以及生物膜可能是影响吸附性能的主要因素.本研究证实了长期户外...     

甘肃南部典型城镇PM2.5浓度及水溶性离子特征分析

为研究甘肃南部城镇PM_2.5及水溶性离子（WSIIs）浓度水平,于2019年4月—2020年2月在甘肃成县按季度进行PM_2.5样品采集,分析了其变化特征,并运用相关和主成分分析法进行来源解析.结果表明：采样期间甘肃成县PM_2.5年平均质量浓度为（57.2±26.9） μg·m^-3,表现为冬季>春季>秋季>夏季的季节变化特征,冬季质量浓度约为夏季的1.9倍,全年空气质量优良率为81%,其中夏季达100%.WSIIs质量浓度呈现SO₄^2->NO₃^->Na⁺>NH₄⁺>Ca²⁺> K⁺>Cl^->Mg²⁺的特征.SNA是浓度水平最高的3种水溶性离子,占8种主要水溶性离子浓度的70.1%.ρ（NO₃^-）/ρ（SO₄^2-）平均值为0.6,表明工农业生产及化石燃料燃烧排放等固定源是颗粒物污染的主要来源.新型冠状病毒疫情期间人员管控对PM_2.5和水溶性离子中SNA质量浓度影响显著,PM_2.5平均质量浓度降幅达44.2%.源解析表明,PM_2.5中WSIIs主要来自化石燃料燃烧、生物质燃烧及二次源和道路建筑扬尘等.     

多元竞争体系下的微界面动力学响应机理研究—以细颗粒泥沙吸附多元重金属离子铅、铜和镉为例

研究微界面动力学响应机理能更好地了解动力学扩散模式的内在机制.通过竞争吸附实验,采用微界面作用模式识别多元重金属离子铅、铜和镉在泥沙颗粒上的扩散模式,探究多元重金属离子的液相浓度和吸附速率变化规律,剖析多元竞争体系下的微界面动力学响应机理.结果显示,10 min前,多元竞争体系下离子的液相浓度和吸附速率变化较大,为快速吸附阶段,与扩散速率较大的膜扩散过程对应.10 min后,离子的液相浓度波动变化,吸附速率变化呈“N型”、“倒N型”、“W型”和“倒W型”特征,吸附解吸交替进行,不同竞争体系离子的液相浓度和吸附速率变化不同,进入孔隙的时间存在差异,此阶段为膜扩散和颗粒内扩散并存,不同竞争体系的离子的颗粒内扩散时间不一致.60 min后, 离子的液相浓度较稳定和吸附速率较小,微界面作用趋于稳定,为扩散速率较小的颗粒内扩散阶段.研究结果可为多元竞争体系的微观界面动力学响应机理提供理论支撑.     

民用煤排放PM2.5中碳组分与水溶性离子特征

研究4种典型民用煤燃烧排放PM_2.5中的碳组分以及水溶性离子含量特点,并通过PAM-OFR(潜在气溶胶质量-氧化流动反应器)模拟了大气老化过程(2d)对煤球与烟煤燃烧PM_2.5中碳组分与水溶性离子含量的变化影响。结果表明,烟煤燃放PM_2.5中碳组分含量最高,达到57.96%,其EC含量是其他煤种的4.3~9.6倍。民用煤燃烧产生PM_2.5中水溶性离子以Na⁺与SO₄^2-为主,其在总水溶性离子中占比合计约47%~76%。经历了大气老化试验后,煤球与烟煤燃烧排放PM_2.5中NH₄⁺和NO₃^-离子含量大幅增加,与之相比,TC占PM_2.5比例分别下降了12.03%与19.99%。     

Year-round observation of atmospheric inorganic aerosols in urban Beijing: Size distribution, source analysis, and reduction mechanism

To investigate particle characteristics and find an effective measure to control severe particle pollution, year-round observation of size-segregated inorganic aerosols was conducted in Beijing from January to December, 2016. The sampled atmospheric particles all presented bimodal size distribution at four pollution levels (clear, slight pollution, moderate pollution and severe pollution), and peak values appeared at the size range of 0.7-2.1 μm and >9.0 μm, respectively. As dominant particle compositions, NO₃⁻, SO₄²⁻, and NH₄⁺ in four pollution levels all showed significant peaks in fine mode, especially at the size range of 1.1-2.1 μm. Secondary inorganic aerosols accounted for about 67.6% (36.3% (secondary sulfates) + 31.3% (secondary nitrates)) of the total sources of fine particles in urban Beijing. Severe pollution of fine particles was mainly caused by the air masses transported from nearby western and southern areas, which are industrial and densely populated region, respectively. Sensitivity tests further revealed that the control measures focusing on ammonium emission reduction was the most effective for particle pollution mitigation, and fine particles all showed nonlinear responses after reducing ammonium, nitrate, and sulfate concentrations, with the fitting curves of y = -120.8x - 306.1x² + 290.2x³, y = -43.5x - 67.8x², and y = -25.8x - 110.4x² + 7.6x³, respectively (y and x present fine particle mass variation (μg/m³) and concentration reduction ratio (CRR)/100 (dimensionless)). Overall, our study presents useful information for understanding the characteristics of atmospheric inorganic aerosols in urban Beijing, as well as offers policy makers with effective measure for mitigating particle pollution.