蒙脱石与滑石矿物对菲吸附-解吸行为的对比研究

采用批量处理平衡实验,考察蒙脱石与滑石矿物对菲的吸附解吸行为。采用Henry和Freundlich方程对其吸附等温线进行分析比较,并着重考察软阳离子K+对上述两种矿物吸附菲的影响机制。研究结果表明:蒙脱石对菲的吸附等温线表现出明显的非线性,吸附/解吸有滞后现象,Freundlich方程最符合其吸附/解吸曲线;滑石吸附菲的能力较之蒙脱石的强,且吸附呈线性,其吸附曲线与Henry方程吻合程度最好。此外,随着溶液中K+离子浓度增加,蒙脱石吸附菲的能力增强,而滑石吸附菲的能力减弱,说明软阳离子K+对蒙脱石吸附菲有明显的强化作用,而对滑石吸附菲却有抑制作用。说明黏土矿物内部结构与表面理化性质控制着污染物的吸附-解吸环境行为,从而影响着PAHs等污染物的迁移转化。     

西南表层岩溶带土壤中砷的迁移规律实验与模拟

岩溶地下河是我国西南地区的重要水源,工业生产过程中产生的砷污染物,除通过落水洞等直接进入并污染地下水外,还会在表层岩溶带溶缝、溶隙内吸附、滞留及富集,并在特定条件下再次迁移,成为"稳定次生污染源".以广西某砷污染事件为例,采用窄缝槽物理模型装置进行砷的动态吸附、解吸实验,并结合地球化学模拟研究砷污染物在表层岩溶带土壤中的迁移规律.实验结果显示表层岩溶带对砷的吸附以物理吸附（扩散过程）为主,相比吸附过程而言解吸速率则显得缓慢,而酸溶液相比去离子水可促进砷的解吸过程.地球化学模拟结果表明土壤矿物中以针铁矿对砷的吸附贡献最大,而酸溶液通过溶蚀针铁矿等矿物削弱对砷的吸附能力.因此在西南岩溶地区,表层岩溶带系统一旦纳入砷污染物,则解吸过程缓慢,易形成砷污染物的滞留、富集;而酸雨作用下砷的解吸、迁移过程加快,则会提高地下水系统的污染风险.      

铁（氢）氧化物悬液中磷酸盐的吸附-解吸特性研究

铁（氢）氧化物对P的吸持和释放在一定程度上决定着P的生物有效性和水体富营养化。以两种环境中常见晶质铁氧化物（针铁矿和赤铁矿）为对照,采用X射线衍射（XRD）、透射电镜（TEM）、热重分析（TGA）和孔径分析以及动力学和吸附-解吸热力学平衡等技术方法,研究了弱晶质水铁矿对P吸附-解吸特性,并探讨了相关机制。实验表明,三种矿物对P的吸附分为起始的快速反应和随后的慢速反应,它们均符合准一级动力学过程,反应中OH释放明显滞后于P吸附,P吸附经历了从外围到内囤配位、单齿到多齿配位过渡的过程,与晶质氧化铁比,水铁矿吸附容量和OH释放量更大、慢速吸附反应更快、存在缓慢扩散反应阶段,吸附容量依次是：水铁矿（436μmol／m^2）〉针铁矿（262μmol／m^2）〉赤铁矿（228μmol／m^2）,针铁矿和赤铁矿吸附P符合L（Langmuir）模型,而水铁矿更符合F（Fremldlictl）模型。中性盐介质（KCl）中在最大吸附量时P的解吸率依次为：水铁矿（85％）〈针铁矿（10％）〈赤铁矿（125％）,柠檬酸通过配体解吸和诱导溶解两种机制促进P的解吸,最大吸附量时解吸率依次是：针铁矿（25％）〈水铁矿（32％）〈赤铁矿（50％）。     

矿物对金属离子的竞争吸附实验研究

CaCO_3、石英、针铁矿、三水铝矿、高岭土、蒙脱石、水云母等矿物对Ag+、Cu2+、Zn2+、Ni2+、Cd2+、Pb2+和Cr3+金属离子的竞争吸附实验研究表明，在近中性低离子强度溶液中，矿物单位表面积吸附金属离子的大小顺序是：CaCO3＞石英＞水云母＞高岭土＞蒙脱石＞针铁矿＞三水铝矿。这些矿物可分成3组：第一组的矿物有石英、针铁矿和高岭土等1：1层硅酸盐矿物及其他氧化物；第二组为三水铝矿、水镁石和蒙脱石等2:1层硅酸盐矿物；第三组是碳酸盐、硫酸盐、磷酸盐等含氧盐矿物。它们对于金属离子的吸附反应；＞SO－＋Mn+=＞SOM(n-1)+(n=1,2,3）有如下的显平衡常数KM与矿物介电常数ε的关系式：（1）lgk1M=7．813－26.15／ε（2）lgK2M－9．030－26.15／ε（3）lgK3M=11．65－26．15／ε     

针铁矿/水界面反应性的实验研究

选择针铁矿对Pb2+、Cu2+、Cd2+等3种重金属离子的吸附实验,开展矿物/水界面反应性研究.金属离子(M2+)在矿物-水溶液间分配有多种表面反应机制,这些表面反应发生作用的条件主要取决于吸附质水化学性质和矿物表面荷电性,因此,溶液pH值是影响矿物/水界面反应性的关键因素.在不同pH值条件下, 表面羟基可通过发生质子化或去质子化反应而使得矿物表面产生荷电性并发生改变,而金属离子的水解则可显著加快金属羟基配合物的形成,从而进一步增强了矿物/水界面反应.本实验条件下针铁矿表面对重金属离子的吸着量随pH值升高而升高,在一个较窄的pH值范围内吸附率急剧升高,呈S形分布.针铁矿对3种不同的重金属离子的吸附能力的强弱顺序是Cu2+＞Pb2+＞Cd2+.无论是Langmuir方程还是Freundlich方程,都能较好拟合针铁矿对重金属离子的等温吸附过程.Freundlich方程的n值均在0.1～0.5之间,说明重金属离子在针铁矿表面的吸附并不能简单地归结为单配位或双配位模式,可能存在着多种吸附结合形态.表观吸附常数KM值的变化规律,说明重金属离子与针铁矿表面反应模式及其表面吸附形态发生了变化,具体的吸附形态还有待谱学研究进一步证实.     

铁锰氧化物在碱性条件下对镉的吸附特征研究

实验研究了不同的pH值、初始离子浓度、矿物用量、温度以及时间等因素对针铁矿和软锰矿吸附镉的影响。结果表明:在pH值从酸性到近中性的范围内,两种氧化矿物对镉的吸附量增加较快,然后在碱性条件下吸附量保持着最大值;反应前后两种氧化矿物溶液的pH值均有不同程度的变化,其中针铁矿和软锰矿的临界pH值分别为8和6.5;两种矿物对镉的吸附在6 h左右达到了吸附平衡,吸附等温线都较好地符合Freundlich等温方程式;随着两种氧化物用量的增加,其吸附量也有增加;室温下,针铁矿和软锰矿对镉的吸附效果较好。     

软阳离子钾改性蒙脱石矿物对硝基苯的强化吸附实验研究

考察软阳离子钾改性蒙脱石在K+存在的条件下对硝基苯的强化吸附行为,详细分析比较了Henry和Fre-undlich方程对硝基苯吸附等温线的拟合结果,同时还进行了吸附热力学研究。实验结果表明,软阳离子钾对蒙脱石吸附硝基苯具有强化作用;硝基苯在蒙脱石上的吸附符合Freundlich和Henry方程,两模型方程线性拟合结果的相关系数均在0.96以上。热力学分析结果表明,硝基苯在蒙脱石上的吸附过程是一个自发的放热过程,说明蒙脱石对硝基苯的吸附主要由分配与EDA作用机制所控制。钾离子存在可为硝基苯吸附营造有利场所,不仅改善准入条件,同时增加某些吸附点位,从而促进并强化蒙脱石对硝基苯的吸附。     

铁氧化物矿物对苯酚和溶解性有机质表面吸附的初步研究

文中以铁氧化物矿物对苯酚和溶解性有机质(DOM)的吸附研究为例开展生态矿物学研究。铁氧化物矿物的吸附作用存在多种机制,这些吸附机制发生作用的条件主要取决于溶液化学性质和吸附质的理化性质。批处理实验研究表明,苯酚吸附在酸性微酸性条件下不强,吸附等温线符合Langmuir方程,属于表面分子吸附模型;DOM的吸附强并发生吸附分异,配体交换、憎水键和范氏力等多种模式并存,在酸性中性条件下对DOM在针铁矿上的吸附起着重要贡献。本文实验条件下DOM吸附等温线近于线性,不能采用Langmuir方程拟合,可能原因是DOM浓度较低。矿物表面荷电性对吸附影响显著,例如,当矿物表面净电荷为零(pH=pHpzc)时,矿物表面水化膜减薄甚至消失,苯酚分子、憎水DOM分子或片断都会倾向于在矿物表面上吸附。由于苯酚吸附机制单一,其受到的影响很明显,所以苯酚在pH值7～8范围内出现吸附最大值;由于配体交换作用主要发生在酸性微酸性条件下,所以在本文pH值约7.5的实验条件下,尽管配体交换仍在发生作用,但它不是主要吸附机制,针铁矿对DOM吸附的主要贡献应是憎水键和范氏力作用,此外,DOM吸附等温方程近于线性还可能与此有关。显然,铁矿物表面作用在对有机质含量低而铁矿物含量高的红壤中污染物和DOM的固定与归宿控制中扮演着重要的角色。     

矿物吸附金的实验研究及其在红土型金矿形成中的意义

Au(Ⅲ）－氯化物和Au(Ⅰ)－硫代硫酸盐被蒙脱石、高岭石、伊利石、针铁矿、褐铁矿及黄铁矿的吸附实验研究结果表明，各种矿物对AuCl4^-的吸附作用显著大于Au(S2O3)2^3-，粘土矿物对金的吸附能力，蒙脱石＞高岭石＞伊利石；含铁矿物中，黄铁矿＞针铁矿＞褐铁矿。矿物对金的吸附作用与矿物结构和金的存在形式有关，即受矿物表面基、金组分的稳定性和位阻的影响；天然雨水中所含微量H2O2是Au、黄铁矿等不同矿物氧化－还原的催化剂，可加速地表岩（矿）石的风化氧化过程和Au的溶解与迁移。雨水对红土中的Au具有一定的淋滤浸取能力。红土型金矿形成于富Cl^-、SO4^2-的酸性、氧化的水化学环境，含金黄铁矿等硫化物的氧化不仅直接导致了Au的溶解和酸的释放，而且其反应产物Fe^3 、S2O3^2-等为Au的氧化、溶解和迁移提供了氧化剂和络合剂，并促进Au的溶解和迁移；Au主要以硫代硫酸络合物、氯化络合物及其水合物的形式进行迁移；硫代硫酸根的氧化和风化壳下部的还原作用是导致金络合物失稳、Au被其他矿物吸附和沉淀富集的主要因素。矿物对金的吸附在红土型金矿的形成过程中起了重要作用。     

针铁矿及其热活化产物除Sb(Ⅲ)效果对比

以合成针铁矿为原料,通过煅烧法获得比表面积分别为85.74和22.65 m2/g的多孔纳米赤铁矿和磁赤铁矿,通过静态实验探究了针铁矿和煅烧产物的Sb(Ⅲ)吸附性能.结果 表明,Sb(Ⅲ)吸附效率为赤铁矿＞磁赤铁矿＞针铁矿,其前二者效率显著高于针铁矿.Sb(Ⅲ)在3种矿物表面的吸附均为快速的化学吸附,吸附在2h内即可接近平衡,符合准二级动力学反应和Freundlich等温吸附模型,为自发进行的吸热反应,升高温度有利于反应的进行.在45 ℃、pH=7的条件下,针铁矿、赤铁矿和磁赤铁矿的最大吸附量分别可达16.04、50.44和33.53 mg/g.pH对赤铁矿和磁赤铁矿的Sb(Ⅲ)吸附效率影响不大,但pH升高会导致针铁矿的吸附能力降低.CO32-、SiO44-、PO43-和胡敏酸会与Sb(Ⅲ)竞争吸附位,抑制3种矿物对Sb(Ⅲ)的吸附,但这种抑制作用只在阴离子浓度较高的条件下有效.研究认为磁赤铁矿具有更多的表面活性位和较强的磁回收能力,是优于针铁矿和赤铁矿的含Sb(Ⅲ)废水处理材料.     

Kinetics of neptunium(V) sorption and desorption on goethite: An experimental and modeling study

Various sorption phenomena, such as aging, hysteresis and irreversible sorption, can cause differences between contaminant (ad)sorption and desorption behavior and lead to apparent sorption ‘asymmetry’. We evaluate the relevance of these characteristics for neptunium(V) (Np(V)) sorption/desorption on goethite using a 34-day flow-cell experiment and kinetic modeling. Based on experimental results, the Np(V) desorption rate is much slower than the (ad)sorption rate, and appears to decrease over the course of the experiment. The best model fit with a minimum number of fitting parameters was achieved with a multi-reaction model including (1) an equilibrium Freundlich site (site 1), (2) a kinetically-controlled, consecutive, first-order site (site 2), and (3) a parameter ψ_2,de, which characterizes the desorption rate on site 2 based on a concept related to transition state theory (TST). This approach allows us to link differences in adsorption and desorption kinetics to changes in overall reaction pathways, without assuming different adsorption and desorption affinities (hysteresis) or irreversible sorption behavior a priori. Using modeling as a heuristic tool, we determined that aging processes are relevant. However, hysteresis and irreversible sorption behavior can be neglected within the time-frame (desorption over 32 days) and chemical solution conditions evaluated in the flow-cell experiment. In this system, desorption reactions are very slow, but they are not irreversible. Hence, our data do not justify an assumption of irreversible Np(V) sorption to goethite in transport models, which effectively limits the relevance of colloid-facilitated Np(V) transport to near-field environments. However, slow Np(V) desorption behavior may also lead to a continuous contaminant source term when metals are sorbed to bulk mineral phases. Additional long-term experiments are recommended to definitely rule out irreversible Np(V) sorption behavior at very low surface loadings and environmentally-relevant time-scales.     

Effects of geosorbent and solution properties on sorption and desorption of PAHs

Characteristics of phenanthrene and pyrene’s sorption and desorption on two local soils in solutions of simulated groundwater, simulated lung fluid, and simulated saliva were studied with batch equilibrium experiments to understand the fate of PAHs in the karst region of southwestern China and to assess the environmental exposure and the health risk of PAHs. The results showed that the sorption and desorption isotherms of phenanthrene and pyrene on two target soils in the three solution systems could be adequately described by the Freundlich model, while the fitted isotherm parameters for the simulated groundwater solution distinguished notably from those for the simulated body fluid solutions. For the sorption experiments, in the simulated groundwater, the n values were 0.722 and 0.672 for phenanthrene and were 0.724 and 0.663 for pyrene, respectively, on the yellow soil and the limestone soil; The log K_F values were 3.118 and 3.323 for phenanthrene and were 3.648 and 3.846 for pyrene, respectively, on the yellow soil and the limestone soil. In the simulated body fluids, the n values for phenanthrene and pyrene ranged from 0.622 to 0.836 and from 0.590 to 0.865, respectively, and the log K_F values of phenanthrene and pyrene ranged from 2.845 to 3.327 and from 3.344 to 3.779, respectively. For the desorption experiments, in the simulated groundwater, the n values were 0.662 and 0.744 for phenanthrene and were 0.702 and 0.647 for pyrene, respectively, on the yellow soil and the limestone soil. The log K_F values were 3.666 and 3.686 for phenanthrene and were 4.128 and 4.225 for pyrene, respectively, on the yellow soil and the limestone soil. In the simulated body fluids, the n values for phenanthrene and pyrene ranged from 0.612 to 0.668 and from 0.631 to 0.819, respectively, and the log K_F values of phenanthrene and pyrene ranged from 3.134 to 3.407 and from 3.533 to 3.839, respectively. The limestone soil had relatively higher log K_F values but lower K_OC values compared to those of the yellow soil, indicated that the nature of sorbent soils played the dominant role in sorption and desorption behaviors of PAHs. The experimental results showed a remarkable differences in sorption and desorption behaviors of PAHs in simulated body fluids and groundwater. The nonlinearities of measured isotherms and the measured sorption capacities of soils in simulated body fluids were significantly lower than corresponding those in the simulated groundwater, and HI values for simulated body fluids systems were significantly smaller than corresponding those for the simulated groundwater systems. The results underscore cautions in assessing environmental exposure and health risks of PAHs based on their sorption–desorption data in simulated groundwater as this is traditionally done.

     

Sorptive removal of ibuprofen from water using selected soil minerals and activated carbon

Pharmaceuticals have gained significant attention in recent years due to the environmental risks posed by their versatile application and occurrence in the natural aquatic environment. The transportation and distribution of pharmaceuticals in the environmental media mainly depends on their sorption behavior in soils, sediment?Cwater systems and waste water treatment plants, which varies widely across pharmaceuticals. Sorption of ibuprofen, a non-steroidal anti-inflammatory drug, onto various soil minerals, viz., kaolinite, montmorillonite, goethite, and activated carbon, as a function of pH (3?C11), ionic strength (NaCl concentration: 0.001?C0.5?M), and the humic acid concentration (0?C1,000?mg/L) was investigated through batch experiments. Experimental results showed that the sorption of ibuprofen onto all sorbents was highest at pH 3, with highest sorption capacity for activated carbon (28.5?mg/g). Among the minerals, montmorillonite sorbed more ibuprofen than kaolinite and goethite, with sorption capacity increasing in the order goethite (2.2?mg/g)?<?kaolinite (3.1?mg/g)?<?montmorillonite (6.1?mg/g). The sorption capacity of the selected minerals increased with increase in ionic strength of the solution in acidic pH condition indicating that the effect of pH was predominant compared to that of ionic strength. An increase in humic acid concentration from low to high values made the sorption phenomena very complex in the soil minerals. Based on the experimental observations, montmorillonite, among the selected soil minerals, could serve as a good candidate to remove high concentrations of ibuprofen from aqueous solution.     

Impacts of hydrous manganese oxide on the retention and lability of dissolved organic matter

Minerals constitute a primary ecosystem control on organic C decomposition in soils, and therefore on greenhouse gas fluxes to the atmosphere. Secondary minerals, in particular, Fe and Al (oxyhydr)oxides—collectively referred to as “oxides” hereafter—are prominent protectors of organic C against microbial decomposition through sorption and complexation reactions. However, the impacts of Mn oxides on organic C retention and lability in soils are poorly understood. Here we show that hydrous Mn oxide (HMO), a poorly crystalline δ-MnO₂, has a greater maximum sorption capacity for dissolved organic matter (DOM) derived from a deciduous forest composite O_i, O_e, and O_a horizon leachate (“O horizon leachate” hereafter) than does goethite under acidic (pH 5) conditions. Nonetheless, goethite has a stronger sorption capacity for DOM at low initial C:(Mn or Fe) molar ratios compared to HMO, probably due to ligand exchange with carboxylate groups as revealed by attenuated total reflectance-Fourier transform infrared spectroscopy. X-ray photoelectron spectroscopy and scanning transmission X-ray microscopy–near-edge X-ray absorption fine structure spectroscopy coupled with Mn mass balance calculations reveal that DOM sorption onto HMO induces partial Mn reductive dissolution and Mn reduction of the residual HMO. X-ray photoelectron spectroscopy further shows increasing Mn(II) concentrations are correlated with increasing oxidized C (C=O) content (r = 0.78, P < 0.0006) on the DOM–HMO complexes. We posit that DOM is the more probable reductant of HMO, as Mn(II)-induced HMO dissolution does not alter the Mn speciation of the residual HMO at pH 5. At a lower C loading (2 × 10² μg C m^?2), DOM desorption—assessed by 0.1 M NaH₂PO₄ extraction—is lower for HMO than for goethite, whereas the extent of desorption is the same at a higher C loading (4 × 10² μg C m^?2). No significant differences are observed in the impacts of HMO and goethite on the biodegradability of the DOM remaining in solution after DOM sorption reaches steady state. Overall, HMO shows a relatively strong capacity to sorb DOM and resist phosphate-induced desorption, but DOM–HMO complexes may be more vulnerable to reductive dissolution than DOM–goethite complexes.     

Soil sorption of caesium modelled by the Langmuir and Freundlich isotherm equations

The Langmuir and Freundlich adsorption isotherm equations were used to model Cs sorption in 6 Welsh soils. The pH (in water), of the soils ranged from 3.5 to 6.5, and the estimated organic matter (determined by loss-on-ignition) ranged from 4.8% to 46%. According to the Langmuir adsorption isotherm, highest sorption maxima,b, were displayed by the loams at 102–204 mg kg⁻¹, compared with organic soils at 37–86 mg kg⁻¹. Subsoil horizons (15–30 cm depth) did not always display higher sorption maxima than their topsoil (0–15 cm depth) counterparts. Where an improved fit to the Freundlich model was found over the Langmuir model, it was assumed that either concurrent desorption of other species, or bond-energy heterogeneity in the substrate, were significant for these soils.     

Sorption kinetics of naphthalene and phenanthrene in loess soils

A laboratory study was executed to investigate the effect of surfactants to enhance sorption of polycyclic aromatic hydrocarbon (PAH) contaminants in loess soil. Phenanthrene and naphthalene were chosen as organic contaminant indicators in loess soil modified by the cation surfactant hexadecyltrimethylammonium (HDTMA) bromide. The kinetic behavior of sorption during transport in natural and modified loess soil was studied. The results indicated that sorption rate in the cation surfactant modified loess soils was at least 3 times faster than that of the natural soil. A first-order kinetics model fitted the sorption data well for both soils. The sorption rates of the two organic compounds were related to their primary residual quantity on the soils. The experiments showed that sorption amounts approached constant values approximately within 30 and 90 min for naphthalene and phenanthrene at 298–318 K, respectively. The rate constants, however, displayed negative correlation with increasing temperature. With changing temperature, the activation energy was calculated at –6.196–1.172 kJ/mol for naphthalene and –28.86–15.70 kJ/mol for phenanthrene at 298–318 K. The results can be used to predict the sorption kinetics of phenanthrene and naphthalene in loess soils, and in a wider perspective, be used to better understand the transport of petroleum contaminants in the soil environment.     

Blind prediction of Cu(II) sorption onto goethite: Current capabilities of diffuse double layer model

The paper presents examples illustrating the current blind predictive capabilities of the diffuse double layer model (DDLM) as the model requiring the smallest set of parameters and thus being most suitable for substituting even more empiric sorption approaches such as distribution coefficients K_D. The general strategy for the selection of numerical data are discussed. Based on the information about the minerals compiled in the sorption database RES³T (Rossendorf Expert System for Surface and Sorption Thermodynamics), first a set of relevant surface species is generated. Then relevant surface complexation parameters are taken from RES³T: the binding site density for the minerals, the surface protolysis constants, and the stability constants for all relevant surface complexes. To be able to compare and average thermodynamic constants originating from different sources, a normalization concept is applied.Our demonstration is based on a blind prediction exercise, i.e., the goal was not to provide optimal fits. The system considered is Cu(II) sorption onto goethite. The predictions are compared with raw data from three independent experimental investigations. The calculations were performed with the FITEQL 3.2 code. In most cases the model predictions represented the experimental sorption values for the sorbed amount of Cu(II), expressed as conventional distribution coefficients, within one order of magnitude or better.We conclude that the application of DDLM can indeed be used for estimating distribution coefficients for contaminants in well defined mineral systems. A stepwise strategy of species selection, data collection, normalization, and averaging is outlined. The SCM database so far assembled within the RES³T project is able to provide the parameter sets.