Synthesis of hybrid carbon nanotubes using Brassica juncea L. application to photodegradation of bisphenol A

Hyperaccumulators contain tubular cellulose and heavy metals, which can be used as the sources of carbon and metals to synthesize nanomaterials. In this paper, carbon nanotubes (CNTs), Cu_0.05Zn_0.95O nanoparticles, and CNTs/Cu_0.05Zn_0.95O nanocomposites were synthesized using Brassica juncea L. plants, and the ultraviolet (UV)-light-driven photocatalytic degradations of bisphenol A (BPA) using them as photocatalysts were studied. It was found that the outer diameter of CNTs was around 50 nm and there were a few defects in the crystal lattice. The synthesized Cu_0.05Zn_0.95O nanocomposites had a diameter of around 40 nm. Cu_0.05Zn_0.95O nanocomposites have grown on the surface of the CNTs and the outer diameter of them was around 100 nm. The synthesized hybrid carbon nanotubes using B. juncea could enhance the efficiency of photocatalytic degradation on BPA. The complete equilibration time of adsorption/desorption of BPA onto the surface of CNTs, Cu_0.05Zn_0.95O nanoparticles, and CNTs/Cu_0.05Zn_0.95O nanocomposites was within 30, 20, and 30 min, and approximately 14.9, 8.7, and 17.4 % BPA was adsorbed by them, respectively. The combination of UV light irradiation (90 min) with CNTs, Cu_0.05Zn_0.95O nanoparticles, and CNTs/Cu_0.05Zn_0.95O nanocomposites could lead to 48.3, 75.7, and 92.6 % decomposition yields of BPA, respectively. These findings constitute a new insight for synthesizing nanocatalyst by reusing hyperaccumulators.     

Fuzzy programming method for multi-objective optimal allocation of sediment resources and the cooperative bargaining: a case study in Weishan irrigation area,China

The optimal allocation of sediment resources needs to balance three objectives including ecological, economic, and social benefits so as to realize sustainable development of sediment resources. This study aims to apply fuzzy programming and bargaining approaches to solve the problem of optimal allocation of sediment resources. Firstly, Pareto-optimal solutions of multi-objective optimization were introduced, and the multi-objective optimal allocation model of sediment resources and fuzzy programming model was constructed. Then, from the perspective of multiplayer cooperation, the optimal allocation model of sediment resources was transformed into a game model by using Nash bargaining, and Nash bargaining solution was obtained as the optimal equilibrium strategy. Finally, the influence of different disagreement utility points and bargaining weights on the results was discussed, and the results of Nash bargaining and fuzzy programming methods were compared and analyzed. Results corroborate that Nash bargaining can achieve the cooperative optimization of multiple objectives with competitive relationship and obtain satisfactory scheme. Disagreement utility points and bargaining weights have a certain impact on the optimization results. The solution of fuzzy programming is close to that of Nash bargaining, which provides different ideas for multi-objective optimization problem.

     

微囊藻毒素污染控制技术的研究进展

主要对水环境中微囊藻毒素污染的产生、毒性和去除方法进行了综述,在如何高效去除MCs方面具有重要意义.     

城市污水厂水质相关性及分布状态的研究和应用

采用统计学及质量控制的一些基本理论及方法对污水处理厂的运行数据进行分析,得出城市污水处理厂BOD5、COD、SS、TN、TP等主要出水指标呈正态分布的规律;城市污水BOD5、COD、TN、TP等指标间存在显著线性相关性的结论.研究结论可用于污水处理厂制定经济合理的出水监测方案以及对污水处理厂运行可靠性等进行评估.     

Occurrence,sorption, and transformation of free and conjugated natural steroid estrogens in the environment

Environmental Science and Pollution Research - Natural steroid estrogens (NSEs), including free estrogens (FEs) and conjugated estrogens (CEs), are of emerging concern globally among public and...     

Carbon emission intensity of electricity generation in Belt and Road Initiative countries: a benchmarking analysis

Environmental Science and Pollution Research - The scope of this study is to analyze the carbon emissions intensity of electricity generation in “Belt and Road Initiative” (BRI)...     

施粪肥土壤中抗生素的提取条件优化及残留特征

为确立高效的土壤抗生素提取条件,揭示施用粪肥土壤中抗生素的残留水平,分别采集江苏省常州市某养猪场新鲜猪粪样品6份、施用粪肥及无机肥水稻土壤样品各13份,对土壤抗生素提取液配比与超声提取时间进行筛选,利用高效液相色谱-串联质谱（HPLC-MS/MS）对生猪粪便和土壤中的四大类（四环素类、磺胺类、喹诺酮类和大环内脂类）15种抗生素含量进行检测分析。结果表明,最优提取条件选择为：提取液配比为甲醇：EDTA=1：1,超声提取时间为10 min,四环素类抗生素的加标回收率为73.2%~93.4%,磺胺类为81.2%~101.1%,喹诺酮类为106.3%~110.8%。该养猪场猪粪与施粪肥土壤中均未检测到大环内脂类抗生素,其余各类抗生素平均残留量从高到低排序分别为：猪粪中四环素类 > 磺胺类 > 喹诺酮类;施粪肥土壤中四环素类 > 喹诺酮类 > 磺胺类,四环素类是最主要的抗生素污染物,残留量分别为猪粪中1.9~12.5 mg·kg-1、施粪肥土壤中23.9~212.4 μg·kg-1;施无机肥土壤中未检测出抗生素,施粪肥土壤中的抗生素来源于生猪粪便。     

Anaerobic degradation of diethyl phthalate, di-n-butyl phthalate, and di-(2-ethylhexyl) phthalate from river sediment in Taiwan

We investigated anaerobic degradation rates for three phthalate esters (PAEs), diethyl phthalate (DEP), di-n-butyl phthalate (DBP), and di-(2-ethylhexyl) phthalate (DEHP), from river sediment in Taiwan. The respective anaerobic degradation rate constants for DEP, DBP, and DEHP were observed as 0.045, 0.074, and 0.027 1/day, with respective half-lives of 15.4, 9.4, and 25.7 days under optimal conditions of 30 °C and pH 7.0. Anaerobic degradation rates were enhanced by the addition of the surfactants brij 35 and triton N101 at a concentration of 1 critical micelle concentration (CMC), and by the addition of yeast extract. Degradation rates were inhibited by the addition of acetate, pyruvate, lactate, FeCl₃, MnO₂, NaCl, heavy metals, and nonylphenol. Our results indicate that methanogen, sulfate-reducing bacteria, and eubacteria are involved in the degradation of PAEs.     

反硝化除磷的影响特性试验

采用SBR反应器（厌氧/缺氧/好氧工艺）,分别研究了乙酸盐及硝酸盐浓度变化对反硝化除磷的影响特性.试验结果表明,当进水COD浓度＞230 mg/L时,乙酸盐浓度的变化对释磷、除磷速率等影响并不显著.在硝酸盐浓度＜30 mg/L时,硝酸盐浓度越高,缺氧段除磷速率也就越高.在C/P＞23,C/N＞5条件下,SBR系统对磷、氮去除率在90%以上.