碱改性净水污泥对水中氨氮的吸附效能研究

采用氢氧化钠浸渍法改性净水污泥,研究了碱改性净水污泥对水中NH+4的去除性能.同时,考察了模拟废水pH、吸附剂投加量、NH+4初始浓度、吸附温度及吸附时间对吸附性能的影响.结果表明,当pH为弱酸性或中性,投加碱改性净水污泥20 g·L-1时,在室温下对初始浓度为50 mg·L-1的NH+4模拟废水振荡吸附120 min,可达到氨氮排放二级标准.将实验数据分别用吸附等温模型和动力学模型进行拟合,发现净水污泥对NH+4的吸附符合Langmuir模型和二级动力学模型,且净水污泥对氨氮的吸附包括静电吸引和离子交换两种作用机理.     

白银天然沸石对磷的吸附机理及性能研究

为探明天然沸石对磷的吸附机理,首先利用扫描电镜、X射线衍射、X荧光分析等对甘肃白银产天然沸石进行了表征,然后通过静态实验探讨了吸附时间、磷初始浓度、pH值等因素对沸石除磷性能的影响.研究结果表明：沸石对水溶液中磷的吸附动力学过程符合Pseudo second-order模型;Freudlich和Langmuir模型均可较好地描述沸石对磷的吸附特征;沸石对磷的吸附量随pH值增大而明显减小.     

Removal of aqueous lead by poorly-crystalline hydroxyapatites

The use of a phosphorus amendment in altering Pb to a chemically less mobile phase is a promising strategy based on minimizing ecotoxicological risk and improving time and cost efficiency. This study evaluated crystalline and poorly-crystalline hydroxyapatite sorbents on removal of aqueous Pb in response to reaction time, solution pH, and Pb concentration. Batch experiments were conducted using a commercially-available crystalline hydroxyapatite (HA), and two poorly-crystalline hydroxyapatites synthesized from gypsum waste (CHA) and incinerated ash of poultry waste (MHA). Poorly-crystalline hydroxyapatites had greater capacity for Pb removal from a solution with a wider pH range as compared to a crystalline hydroxyapatite. The maximum sorption capacity of Pb determined by the Langmuir model was 500 mg g⁻¹ for CHA, 277 mg g⁻¹ for MHA and 145 mg g⁻¹ for HA. Removal of aqueous Pb by CHA was not dependent on solution pH, with a 98.8% reduction throughout the solution pH range of 2–9, whereas aqueous Pb removal by HA and MHA was pH-dependent with less removal in the neutral solution pH. Poorly-crystalline hydroxyapatites may provide an effective alternative to existing remediation technologies for Pb-contaminated sites.     

Adsorption studies on coir pith for heavy metal removal

Biosorption efficiency of coir pith, a waste product from coir industry, was investigated in this study for the removal of metallic pollutants such as Ni, Cu and Zn from aqueous solutions. The disposal of coir pith is a major problem associated with the coir industries, especially working in the small-scale sector. The present study explores the effectiveness of utilization of coir pith, an accumulating waste, as a biosorbent for heavy metal removal. Batch mode studies were done to evaluate the efficiency of removal of metals under varying adsorption conditions of pH, metal concentration and contact time. Characterization studies of the biosorbent and SEM analysis were done. Kinetic modelling studies were tried using Lagergren pseudo-first-order and second-order models. Equilibrium studies were done using well-known Freundlich, Langmuir and D–R isotherm models. It was found that all isotherms are fitting well indicating the efficiency of coir pith as an adsorbent of heavy metals. The applicability of all the three isotherms to the sorption processes shows that both monolayer adsorption and heterogeneous energetic distribution of active sites on the surface of the adsorbent are possible. Due to the abundance and low cost of these materials, adsorption technologies developed can act as good sustainable options for the future in heavy metal removal from industrial effluents.     

Partial characterization of the exopolysaccharide from Oscillatoria trichoides Szafer and the role of released polysaccharide in sequestration of Cr6+

The structural investigation and the chromium adsorptive potential of an exopolysaccharide (EPS) released during the growth of an indigenous cyanobacterium, Oscillatoria trichoides Szafer, were investigated in a laboratory‐scale study. The results showed that, of the total EPS produced, 410.53 milligrams/gram (mg g^?1) were released polysaccharides (RPS) and 11.36 mg g^?1 were capsular polysaccharides (CPS). The sorption of hexavalent chromium (Cr⁶⁺) by the RPS achieved a maximum amount of metal removal (q_max) value of 76.92 mg g^?1 of polysaccharide dry weight. The highest coefficient of determination (0.9742) for the Langmuir adsorption model indicates best fitness of the model in explaining the sorption as a unilayer process. Equilibrium studies indicated that 30 to 40 milligrams per liter initial chromium concentration and a pH of 2 were optimal for biosorption of chromium by the RPS. Scanning electron microscopy with energy‐dispersive X‐ray spectroscopy analysis of Cr⁶⁺‐treated RPS showed the presence of 3.76% bound chromium. Compositional analysis of the EPS showed the presence of carbohydrates, proteins, pyruvic acid, and hexosamines. High‐performance liquid chromatography analysis demonstrated the presence of hexoses, as neutral sugars and glucuronic acid as an acidic sugar. The presence of carboxylic groups was also detected by infrared spectroscopy. The presence of these chemical constituents may serve as binding sites for the metal ions; therefore, the RPS of this species appears to be a promising biosorbent for Cr⁶⁺.     

高炉渣对Cd~(2+)的吸附性能

采用包头钢铁集团炼铁厂的高炉渣为吸附剂(粒径0.154 nm)对Cd2+进行吸附,运用SEM技术对吸附剂进行了表征,研究了初始Cd2+质量浓度、吸附剂加入量、吸附时间、吸附温度和废水pH对Cd2+去除率的影响,并探讨了吸附机理。表征结果显示:高炉渣吸附剂具有疏松多孔的特点,表面十分粗糙,比表面积较大。实验结果表明:当吸附温度为室温(28℃)、废水pH为7、初始Cd2+质量浓度为10 mg/L、吸附剂加入量为8 g/L、吸附时间为60 min时,Cd2+去除率达到98.55%;高炉渣对Cd2+的吸附符合拟二级动力学方程和Langmuir等温吸附模型,且吸附反应易发生。     

预处理后的活性污泥对锌吸附的研究

剩余活性污泥处理是当今的热点问题,从活性污泥资源化的角度出发,将活性污泥加工成为锌离子的生物吸附剂,比较了8种方法预处理后的活性污泥对锌的吸附效果,分析了这8种方法对污泥吸附能力的影响机理.对经过NaOH和H2O2处理的污泥的吸附特性和影响因素进行了研究,结果表明该吸附过程符合Psemio-seconal Order吸附动力学模型及Freunomch吸附等温模型,低pH不利于吸附,适当提高温度可以增强吸附效果,增加污泥吸附剂浓度可以增加金属离子去除率,但是单位质量吸附剂吸附金属离子的量减小.用红外光谱对比的手段对吸附机理进行了探讨,结果表明污泥颗粒表面一些含氮氧的基团对zn.'的络合作用是主要的吸附机理.该研究在污泥资源化和废水中锌离子的去除方面有重要意义.     

腐殖酸、细颗粒泥沙对粉末活性炭吸附苯酚特性影响的研究

通过一系列实验,探讨了粉末活性炭吸附水中苯酚时,腐殖酸(HA)浓度和细颗粒泥沙用量对苯酚吸附量和去除率的影响.实验结果表明:在中性条件下,随着HA浓度的增加,粉末活性炭对苯酚的吸附量减少;在不同质量细颗粒泥沙的影响下,苯酚的去除率基本不变;在未加HA时,粉末活性炭对苯酚的吸附行为用Langmuir吸附等温式拟合效果最好,对苯酚的最大吸附量为150.60 mg/g,而在有HA存在时,粉末活性炭对苯酚的吸附行为用Freundlich吸附等温式拟合效果最好,对苯酚的最大吸附量为28.49 mg/g.     

钢渣吸附处理苯酚废水的研究

采用恒温振荡的方法,考察了钢渣粒径、吸附温度、振荡速度、溶液pH值、溶液初始浓度对苯酚去除率的影响。结果表明,在粒径为120~180目、pH=4.0、苯酚溶液浓度在500 mg/L以内、苯酚/钢渣质量比为1∶1 000时吸附效果最好。钢渣对苯酚的吸附能较好地符合Langmuir和Freundlich吸附等温线,线性相关系数分别为0.9971和0.9916,吸附机理为表面吸附。     

Phospholipid fatty acid biomarkers in a freshwater periphyton community exposed to uranium: discovery by non-linear statistical learning

Phospholipid fatty acids (PLFA) have been widely used to characterize environmental microbial communities, generating community profiles that can distinguish phylogenetic or functional groups within the community. The poor specificity of organism groups with fatty acid biomarkers in the classic PLFA-microorganism associations is a confounding factor in many of the statistical classification/clustering approaches traditionally used to interpret PLFA profiles. In this paper we demonstrate that non-linear statistical learning methods, such as a support vector machine (SVM), can more accurately find patterns related to uranyl nitrate exposure in a freshwater periphyton community than linear methods, such as partial least squares discriminant analysis. In addition, probabilistic models of exposure can be derived from the identified lipid biomarkers to demonstrate the potential model-based approach that could be used in remediation. The SVM probability model separates dose groups at accuracies of ∼87.0%, ∼71.4%, ∼87.5%, and 100% for the four groups; Control (non-amended system), low dose (amended at 10 μg U L⁻¹), medium dose (amended at 100 μg U L⁻¹), and high dose (500 μg U L⁻¹). The SVM model achieved an overall cross-validated classification accuracy of ∼87% in contrast to ∼59% for the best linear classifier.