生物材料对重金属离子的吸附富集作用

介绍了重金属离子的生物吸附富集作用,从生物材料的类型、生物吸附的选择性、化学修饰与生物吸附、生物对重金属离子的浓缩富集作用和生物吸附的机理及模型等方面作了说明。利用生物材料可去除水体中的重金属离子。     

藻类去除水体中重金属的机理及应用

重金属污染水体的修复,以及含重金属工业废水的处理关乎地球上生物的健康发展。利用低耗能、高修复效率、环境友好、适用范围广泛的藻类去除水体中的重金属,已越来越受到研究者的关注。本文综述了国内外藻类去除水体中重金属的研究进展。分析了藻类去除重金属的生化结构;重点阐述了藻类吸附及富集重金属的机理;讨论了活藻体和死亡藻体用于水体中重金属去除的应用及影响因素,并比较了两者的适用范围及筛选标准;最后指出此领域尚存在的问题,展望了藻类去除重金属的未来发展方向。     

微波消解试样-电感耦合等离子体质谱法测定鱼体中锌、铁、铅、铬、镉和汞的含量

重金属是具有潜在危害的重要污染物,它会被湖泊或海洋中沉积物或悬浮物所吸附,并在生物体内富集,成为持久污染物,对环境造成严重的污染。水体一旦受到严重的重金属污染,生物的食用卫生质量就会受到影响。金属元素含量的测定多采用原子吸收光谱法,其灵敏度高,准确性好,但不能实     

自然水体生物膜吸附Co,Ni和Cu的特征研究

研究了在自然水体中培养的生物膜吸附Co,Ni和Cu等3种重金属的热力学和动力学特征,并对生物膜吸附各重金属的热力学数据进行了非线性拟合.结果表明,3种重金属的吸附过程均符合Langmuir吸附等温曲线.在溶液中重金属浓度<0.5μmol/L时,生物膜对3种重金属元素的吸附能力顺序是Co>Cu>Ni;在重金属浓度>0.5μmol/L时,顺序是Cu>Co>Ni.对动力学数据进行非线性拟合的结果表明,生物膜对Co,Ni和Cu的吸附均在数小时内达到平衡,吸附过程符合Langmuir等动力学曲线.     

新型海绵状吸附材料对水中铜离子和镉离子的吸附研究

铜离子与镉离子具有较大生物毒性,是重金属水污染控制重要目标污染物。论文以聚乙烯醇缩甲醛海绵为骨架,通过与丙烯酸甲酯接枝聚合反应、与盐酸羟胺的化学修饰反应,制备新型海绵状吸附材料P(VFM-MA-HH),用于吸附去除水中铜离子与镉离子。研究表明,最佳接枝聚合反应条件为90℃温度下,丙烯酸甲酯单体浓度15%,聚合反应6h,所制备的海绵状吸附材料含异羟肟酸基团3.57mmol/g。P(VFM-MA-HH)对铜离子、镉离子有较高的吸附容量与吸附速率,可在15min内达到平衡吸附量的50%,吸附动力学过程同时受控于膜扩散与颗粒内扩散过程。在搅拌混合吸附过程中,P(VFM-MA-HH)对重金属离子的吸附符合全混流式反应模型,且钙离子、镁离子与天然有机酸的存在并未干扰吸附性能。     

生物吸附剂菹草干粉对Cr(Ⅵ)的吸附性能

开发了高效去除重金属Cr(Ⅵ)污染的生物吸附剂,菹草(Potamogeton crispus)干粉吸附剂,通过单因素分析考察了吸附时间、吸附剂颗粒大小、溶液初始pH值、吸附剂用量、Cr(Ⅵ)初始浓度以及离子强度等对重金属离子Cr(Ⅵ)的吸附性能。 结果表明,对吸附效果影响显著的因素有Cr(Ⅵ)初始浓度、吸附剂颗粒大小、溶液初始pH值和离子强度;其吸附行为符合准二级动力学方程,相关系数为0.9998;菹草对Cr(Ⅵ)的吸附等温线符合Langmuir方程。     

纤维素基吸附分离材料研究进展

以纤维素为原料制备吸附分离材料可以减少对石油资源的依赖,并具有成本低、环境友好和生物相容性好等优点。利用纤维素中的羟基基团,通过交联、接枝、引入无机粒子或与聚合物复合,可以制备出微球和薄膜等不同形态的吸附分离材料,广泛应用于生物医学,废水处理、气体分离等领域。本文结合近五年来国内外纤维素及其复合材料在吸附分离领域的研究近况,从水、油、重金属、气体和有机物的应用进行了综述,总结了纤维素基吸附分离材料的研究尚存在的问题,探讨了今后的研究方向。     

自然水体中生物膜不同化学组分与铅、镉最大吸附量的关系

生物膜存在于河流、湖泊和湿地环境中岩石和表层沉积物表面上 ,并由地球上不同种类的微生物组成 [1,2 ] .大量证据表明 ,生物膜在决定水环境中痕量金属的迁移、最终归宿、生物地球化学特性、生物可利用性和毒性过程中起着非常重要的作用 .因此 ,研究生物膜对痕量金属的吸附、预测重金属在水环境中的迁移转化规律具有重要的理论意义 .从环境化学角度看 ,生物膜上的主要成分铁氧化物、锰氧化物和有机质一直被认为是影响痕量金属在固体表面吸附的 3个最重要的因素[3] .有的文献认为 ,金属氧化物是痕量金属吸附唯一最重要的决定因素 [4 ,5] ,有…     

蔗渣基重金属离子吸附材料的吸附特性影响研究

以蔗渣纤维为原料,经过预处理后,采用化学氧化法接枝丙烯酰胺单体制备了蔗渣接枝丙烯酰胺吸附材料(B-AM),并用于对重金属离子的吸附。研究不同接枝率、初始浓度、吸附时间、吸附温度等因素对B-AM吸附重金属离子Cr_2O_7~(2-)的影响及p H值对B-AM吸附其他重金属离子的影响。结果表明,蔗渣接枝丙烯酰胺对重金属离子具有很好的吸附性能,其中对Cr_2O_7~(2-)的吸附容量可达805.4mg/g,在重金属离子废水处理领域具有较好的应用前景。     

腐殖酸对La~(3+),Nd~(3+)等重金属离子混合体系吸附的研究

对含有La~(3+),Nd~(3+)的重金属混合体系进行吸附选择性试验,筛选出腐殖酸浓度为1.2 g·L~(-1)时吸附La~(3+),Nd~(3+)的最佳条件(pH=5.4,温度313 K,振荡时间8 h,重金属离子初始浓度0.15 mmol·L~(-1)),得出此条件下吸附优先顺序为:La~(3+)>Pb~(2+)>Cu~(2+)>Nd~(3+)>Cd~(2+)>Zn~(2+)>Co~(2+)>Cr~(3+);HA的吸附总量在室温下拟合二级动力学方程的效果最好;Langmuir方程则能更好地描述HA对重金属离子的等温吸附过程,并且随着温度的升高,HA的最大吸附量逐渐增加;HA对La~(3+),Nd~(3+)等重金属离子的吸附优先顺序受到pH值、温度、振荡时间、重金属离子初始浓度和本身性质的综合影响,且重金属的地球化学性质是主导因素.     

Biosorption of copper by biomass of extremophilic algae

Copper and lead are among the most important chemical pollutants of the environment including hydrosphere. Interaction of these heavy metals with biomass of aquatic plant organisms including algae is an area of active research in ecological chemistry. We investigated the interaction of the biomass of unique extremophilic (thermophilic) algae Galdieria sulphuraria with these heavy metals in aquatic environment using stripping voltammetry. Biosorption of copper by the studied biomass from aquatic medium has been discovered; however, no biosorption of another heavy metal from aquatic environment with the biomass has been detected. The experiments with the mortmass of Galdieria sulphuraria have revealed no sorption of the heavy metals as measured by stripping voltammetry. The difference in the interaction of copper and lead with the algal biomass is important for deeper understanding of the biosorption phenomenon. The new data stimulated further interest to the concept of biogenic migration of chemical elements that was proposed by V.I. Vernadskii. The results contributed to the scientific basis for innovative biotechnology to decontaminate water.     

Characterization and sorption properties of Aspergillus niger waste biomass

The structure and the biosorption properties of fungal biomass of Aspergillus niger originated from citric acid fermentation industry was investigated. This waste biomass, produced in high quantity in carefully controlled industrial processes, has certain favourable characteristics that may be improved for its usefulness. In environmental chemistry, it is known for the removal of heavy metals cations. In this work, different alkaline treatments (1M NaOH/20°C/24 h and 10M NaOH/107°C/6 h) were used to evaluate the dependence of sorption properties of biomass on the cell wall composition. The biosorption was studied by the batch method, with the biomass concentration of 1 g/l, at pH 6. The adsorption of lead was more effective than that of cadmium. The biosorption capacity was evaluated using the biosorption isotherm derived from the equilibrium data. At pH 6, the maximmum lead biosorption capacity estimated with the Langmuir model was 93 mg/g dry biomass.     

Biosorption of copper(II) from aqueous solutions by Spirogyra species

Batch studies were conducted to investigate the kinetics and isotherms of Cu(II) biosorption on the biomass of green alga Spirogyra species. It is observed that the biosorption capacity of the biomass strongly depends on pH and algal dose. The maximum biosorption capacity of 133.3 mg Cu(II)/g of dry weight of biomass was observed at an optimum pH of 5 in 120 min with an algal dose of 20 g/L. Desorption studies were conducted with 133.3 mg/g of Cu(II) loaded biomass using different desorption agents including HCl, EDTA, H2SO4, NaCl, and H2O. The maximum desorption of 95.3% was obtained with HCl in 15 min. The results indicate that with the advantages of high metal biosorption capacity and satisfactory recovery of Cu(II), Spirogyra can be used as an efficient and economic biosorbent material for the removal and recovery of toxic heavy metals from polluted water.     

Study of physical chemistry on biosorption of zinc by using Chlorella pyrenoidosa

Discharge of heavy metals from metal processing industries is known to have adverse effects on the environment. Biosorption of heavy metals by metabolically inactive biomass of microbial organisms is an innovative and alternative technology for removal of these pollutants from aqueous solution. Presence of heavy metals in the aquatic system is posing serious problems. Zinc has been used in many industries and removal of Zn ions from waste water is significant. Biosorption is one of the economic methods used for removal of heavy metals. In the present study, the biomass obtained from the dried Chlorella pyrenoidosa was used for evaluating the biosorption characteristics of Zn ions in aqueous solutions. Batch adsorption experiments were performed with this material and it was found that the amount of metal ions adsorbed increased with the increase in the initial metal ion concentration. In this study effect of agitation time, initial metal ion concentration, temperature, pH and biomass dosage were studied. Maximum metal uptake (q _max) observed at pH 5 was 101.11 mg/g. The biosorption followed both Langmuir and Freundlich isotherm model. The adsorption equilibrium was reached in about 1 h. The kinetic of biosorption followed the second-border rate. The biomass could be regenerated using 0.1 M HNO₃. A positive value of ΔH° indicated the endothermic nature of the process. A negative value of the free energy (ΔG°) indicated the spontaneous nature of the adsorption process. A positive value of ΔS° showed increased randomness at solid-liquid interface during the adsorption of heavy metals, it also suggests some structural changes in the adsorbate and the adsorbent. FTIR Spectrums of Chlorella pyrenoidosa revealed the presence of hydroxyl, amino, carboxylic and carbonyl groups. The scanning electron micrograph clearly revealed the surface texture and morphology of the biosorbent.     

Cork biomass as biosorbent for Cu(II), Zn(II) and Ni(II)

The removal of Cu(II), Zn(II) and Ni(II) from solutions using biosorption in cork powder is described. The adsorption isotherms were determined, along with the effect of different variables, such as the solid–liquid ratio, temperature and pH on the removal efficiency of the metals. The potentiometric titration curve of the cork biomass was determined and some zeta-potential studies were carried out. The effect of the pre-treatment by Fisher esterification on the biosorption properties of cork is also presented. It was concluded that the adsorption of the heavy metals was favoured by an increase in pH. The degree of heavy metal removal is directly related to the concentration of cork biomass, and the maximum sorption capacity of cork biomass for Cu(II), Zn(II) and Ni(II) was 0.63, 0.76 and 0.34 meq./g, respectively. It is shown that ion exchange plays a more important role in the sorption of Cu(II) and Ni(II) on cork biomass than in the sorption of Zn(II). The pre-treatment by Fisher esterification confirmed the important role of the carboxylic groups in binding of Cu(II) and Ni(II) and showed that they are the only binding sites for Zn(II).     

Application of Artificial Neural Network and Particle Swarm Optimization for modelling and optimization of biosorption of Lead(II) and Nickel(II) from wastewater using dead cyanobacterial biomass

Removal of heavy metals through biosorption using biomass offers several advantages over other conventional techniques such as low cost, high efficiency, environmentally friendly, etc. In the present article, biosorption of Nickel(II) and Lead(II)was investigated using dried biomass of cyanobacterial consortium. OFAT (one-factor-at-a-time) analysis was used to assess the effect of input parameters on the removal of potentially toxic elements by varying initial metal ion concentration (2–10 mgL⁻¹), adsorbent dose (0.1–1.0 gL^-1), pH (for Pb(II): 2–6, for Ni(II): 2–8) and temperature (25°C–45°C) individually, at constant shaking speed of 150 ​rpm. Results showed that removal using biomass attained highest values in as short time as 15 ​min. The investigations also showed the removal is highly effective at lower initial concentrations of heavy metals. Maximum removal of Lead(II) (87.27 ​± ​1.75%) and Nickel(II) (92.57 ​± ​0.77%) was obtained at pH 6 and 45°C and at pH 7 and 25°C, respectively, within 15 ​min with 0.1 gL^-1 biomass. Both the Langmuir model and Freundlich model were seen to fit the equilibrium data. Further, Artificial Neural Network was used to model the biosorption process. Subsequently, Particle Swarm Optimization was applied to optimize the operating conditions for the removal of both the metals.     

Uranium biosorption under dynamic conditions: Preliminary tests with Sargassum filipendula in real radioactive wastewater containing Ba, Cr, Fe, Mn, Pb, Ca and Mg

The biosorption of uranium by the seaweed Sargassum filipendula was investigated under dynamic conditions at various bed heights. Our results indicate that a bed height of 40.0 cm (111.9 g biomass) was the most efficient for long-term operation of the continuous system. Our results also indicate that the effluent solutions produced are in accordance with Brazilian legislation for safe discharge of uranium in aqueous streams. The efficiency of the process increased with an increase in bed height from 5.0 to 40.0 cm due to changes in the transfer zone. In treatment of a real effluent contaminated with uranium, stable heavy metals and essential metals, 64% of the uranium was biosorbed, as well as the stable heavy metals chromium, lead and barium. The essential metals calcium, magnesium, iron and manganese were not biosorbed by the seaweed, in fact, their concentrations in the solution increased due to ion-exchange mechanisms with the constituent polysaccharides of the biomass. Another important result was the 85–87% reduction of mass obtained after drying and calcination of the biomass. This is a relevant indication that long-term storage of biomass loaded with radionuclides and heavy metals is possible after concentration of the contaminants. In the present work, the reduction in total mass of the loaded biomass was considerable, thus facilitating storage of the contaminated seaweed.     

Biosorption: a new rise for elemental solid phase extraction methods

Biosorption is a term that usually describes the removal of heavy metals from an aqueous solution through their passive binding to a biomass. Bacteria, yeast, algae and fungi are microorganisms that have been immobilized and employed as sorbents in biosorption processes. The binding characteristics of microorganisms are attributed to functional groups on the surface providing some features to the biosorption process like selectivity, specificity and easy release. These characteristics turn the biosorption into an ideal process to be introduced in solid phase extraction systems for analytical approaches. This review encompasses the research carried out since 2000, focused on the employment of biosorption processes as an analytical tool to improve instrumental analysis. Since aminoacids and peptides as synthetic analogues of natural metallothioneins, proteins present in the cell wall of microorganisms, have been also immobilized on solid supports (controlled pore glass, carbon nanotubes, silica gel polyurethane foam, etc.) and introduced into solid phase extraction systems; a survey attending this issue will be developed as well in this review.     

Study of a heavy metal biosorption onto raw and chemically modified Sargassum sp. via spectroscopic and modeling analysis

In this study, raw and formaldehyde-modified Sargassum sp. are used for heavy metal removal. A series of experiments shows that the chemical modification by formaldehyde improves biosorption capacity by approximately 20%. Solution pH plays an important role in the metal uptake. According to X-ray photoelectron spectroscopic and Fourier transform infrared spectroscopic analysis, the possible organic functional groups in the metal binding include carboxyl, ether, alcoholic, hydroxyl, and amino functional groups. A new model that includes a series of coordination reactions among a generalized functional group, alkaline earth metal ions and heavy metal ions, is developed for simulation of biosorption process. The model well describes the single- and multiple-species metal biosorption process under different conditions such as pH. The biosorption of heavy metals is due to the ion exchange between the heavy metals and alkaline earth metals and their adsorption onto the free sites of the seaweeds. Slightly more than half of the metal uptake is due to ion exchange. The metal affinity for the functional groups follows a descending order of lead > copper > alkaline earth metal.     

Biosorption of Metals from Dilute Aqueous Solutions

Dilute aqueous solutions, generated or used by industry, can contain a variety of different metal ions. Various processes are suitable for reclamation of toxic metals and among them, attention is paid here to biosorption. The ability of microorganisms to remove metal ions from solution is a well known phenomenon. Industrial applications of biosorption often make use of dead biomass, which does not require nutrients and can be exposed to environments of high toxicity. Experimental laboratory batch experiments are described for actinomycetes, fungi and for activated sludge, as the metal biosorbents, providing insight into cadmium biosorption. Non-living biomass showed greater binding capacities for cadmium (a priority pollutant) than living biomass. Engineering considerations are central in decisions concerning the commercial future of biosorption and a practical solution is needed for certain problems, such as the efficient separation of metal-loaded biomass.