高岭石表面酸碱反应的电位滴定实验研究

采用表面酸碱电位滴定法探讨高岭石表面酸碱性质,基于多位模式(即假定高岭石表面存在3种基团Al2 OH 、AlOH 和SiOH ) ,根据实验所得数据对高岭石表面的质子化和去质子化过程的相关参数进行拟合,讨论各个位点所发生的反应,并探讨了支持电解质浓度、高岭石溶解过程对表面酸碱电位滴定结果的影响。高岭石的表面零净质子电荷点(pHPZNPC,5 .2 )不等同于零电荷点,当pH <5 .2时,高岭石表面荷正电荷,主要由于表面富硅贫铝层的形成和Al位的质子化所致;当pH >5 .2时,高岭石表面荷负电荷,以Si位和Al的去质子化反应为主。     

阳山伊利石表面化学特性及化合态

用非连续酸碱滴定法和氯化铵-乙醇法测定表明,2M1型伊利石的pHzpc＝6.5,阳离子交换量CEC＝11.0×105mol/g.应用恒容双表面位模式,通过多元非线性拟合计算表明,伊利石表面铝醇基＞AlOH浓度N1,Al＝4.0×10-5mol/g,质子化常数pKal,Al＝5.95和pKa2,Al＝9.45,硅醇基＞SiOH的Nt.si＝0.53×10-5mol/g,pKa2,si＝3.85.同时发现,在伊利石表面酸碱特性研究中,当溶液pH＜4时,须考虑伊利石表面阳离子与溶液质子之间的交换反应,测定表明交换反应常数Kx＝0.42.     

铅在高岭石表面的吸附模式

采用表面络合模式,研究了高岭石表面的酸碱性质以及高岭石表面对铅的吸附行为。结果表明,高岭石表面在不同ｐＨ条件下对质子和铅离子的吸附反应可以用单一表面基团、无静电表面络合模式来描述。高岭石表面酸度常数拟合值分别为ｐＫａ１＝２．７５和ｐＫａ２＝５．５２,电荷零点ｐＨｚｐｃ＝４．１铅在高岭石表面的吸附量随ｐＨ值的升高而增加,吸附铅的两种表面化合态〉ＳＯＰｂ＾＋和〉ＳＯＰｂＯＨ的浓度也随ｐＨ值的变化而变化     

高岭石水溶液的界面反应特征

高岭石的表面荷电性、溶解及其对 Cu2 、 Pb2 的吸附等实验结果表明, 高岭石的零净质子电荷点 pHPZNPC=5.2,但端面 >AlOH的 pHPZNPC在 6.5～ 7.0之间,而 >SiOH的 pHPZNPC < 2.3;然而,在 pH 2～ 10范围,ζ电位均为负值,即电动电荷等于零对应的 pH (pHIEP) < 2;且在 pH < 4溶解时, Al溶出率比 Si高,表明高岭石表层形成富 Si贫 Al层.随着溶液 pH由酸性往碱性的变化,重金属离子的吸附表现为离子交换与表面配位模式并存,并发生规律性的变化:在 pH < 6.5时主要表现为离子交换吸附,在 pH < 4时由于受到高岭石 Al的高溶出及较高的离子强度影响,高岭石对 Cu2 、 Pb2 的吸附率较低,但在 pH 5～ 6附近吸附率有明显的提升,并且有个吸附平台;在 pH > 6.5时,主要表现为离子交换和表面配位均为重要的吸附机制,若 pH再升高或重金属离子浓度过高时甚至发生表面沉淀.研究还表明,溶液 pH与离子强度影响高岭石水界面反应过程,表面溶解与质子化反应改变高岭石的表面性质,包括表面荷电性和表面位化合形态,因而调控 Cu2 、 Pb2 的界面吸附行为.     

铜(Ⅱ)在高岭石表面的吸附

在天然水体系中,铜、铅、镉等重金属元素的形态分布、迁移、归宿和生物有效性强烈取决于重金属元素在水体颗粒物表面的分配趋势.本文对铜(Ⅱ)在常见的重要粘土矿物--高岭石表面的吸附进行了实验和模式研究,结果表明,在同时考虑自由水合离子CU2+和羟基金属离子CuOH+与高岭石表面络合的情况下,单一表面基团、无静电表面络合模式能很好地描述铜(Ⅱ)的吸附行为.拟合得到的CuoH+的络合常数比Cu2+的大得多. 铜(Ⅱ)在高岭石表面的吸附量随pH值的升高而增加.吸附铜的两种表面化合态,>SOCu+和>SOCuOH的浓度在实验的pH范围内,也随pH值升高而增加,并且以>SOCu+为主.     

机械研磨高岭石的固体~(29)Si、~(27)Al核磁共振光谱研究

综合多种测试方法,考察了研磨对茂名高岭石粒径、形貌与微结构等理化性质的影响。重点采用~(29)Si、~(27)Al MAS NMR光谱考察了研磨过程中结构脱羟、Si、Al配位环境变化、新活性位点形成等微结构演变等。结果表明:研磨初期,高岭石六方片层遭到破碎,颗粒粒径逐渐减小,比表面积在研磨1 h达到最大(43.8 m~2/g);此后,颗粒发生团聚,比表面积减小,样品脱羟量和表面吸附水含量均逐渐增加。核磁Si谱和Al谱分别在化学位移-100.5和14.8处出现新的信号,归属于四面体Si与八面体Al相连顶氧质子化作用而产生的Q~3 Si-OH~+-Al结构。研磨导致高岭石脱羟,Al配位状态从AlⅥ经由AlⅤ逐渐向AlⅣ转变。     

胡敏酸对高岭石吸附铜离子的强化作用

考察酸性条件特别是在近中性 pH范围内胡敏酸对高岭石吸附铜离子的强化作用。研究表明 ,胡敏酸的加入可以提高高岭石对铜离子的吸附率 ,甚至在pH 5～ 6附近高岭石对铜离子的吸附率也从约 5 0 %提高到约 6 5 %。当 pH <4时 ,由于高岭石表面铝的高溶出或胡敏酸阴离子基团离解程度降低等因素 ,使其表面对胡敏酸的吸附率有所降低 ,但与高岭石样品相比 ,胡敏酸高岭石复合体对铜离子的吸附仍然有明显的增加。胡敏酸对高岭石吸附铜离子的强化机制是 ,高岭石端面形成了Al—HA—Cu三元配合物 (B型 ) ,与传统的诸如pH、离子强度与离子初始浓度等介质条件影响不同。在 pH >7时高岭石端面及腐殖质基团去质子化增强 ,因而静电排斥降低了高岭石对胡敏酸的吸附 ,从而使得胡敏酸对铜离子在高岭石表面上的吸附作用有所减弱 ,此时可能出现胡敏酸铜及氢氧化铜的沉淀 ,铜离子的表观吸附率可能不会有明显变化     

高岭土的化学成分与表面电性研究

在前人工作的基础之上 ,研究了高岭土中高岭石的晶体结构、化学成分与表面电性之间的关系。硬质和软质高岭土具有相近的表面零电点 (pzc)值 ,几种硬质高岭土的 pzc值的变化范围为 2 .6～ 3 .8。pzc值与其中的SiO2 的重量百分含量呈正相关 ,与Al2 O3的呈负相关。高岭石的结晶度指数 (CI)并不是决定高岭石pzc值的主要因数。在较宽的pH值范围 ,硬质高岭土比软质高岭土的电位低。在高岭石晶体端面上的等电点 ( pH 7.3± )处 ,高岭土表面的Zeta电位与TFe的重量百分含量呈负相关性 ,与高岭石的结晶度指数 (CI)呈正相关。     

五氯苯酚在矿物表面吸附——实验、表面反应模式及其环境意义

利用批量平衡技术研究了石英、高岭石、伊利石、蒙脱石和铁氧化物对五氯苯酚(PCP)吸附的pH关系等温线和浓度关系等温线,发现所有矿物的pH关系等温线都表现出典型的峰形曲线特征,峰位在pH=5～6之间,依矿物不同而不同。基于矿物表面羟基位化合态和PCP的化合态考虑,提出一种包含表面络合反应和表面静电吸附反应的模式,对pH关系等温线计算拟合发现有很好的相关性。模式计算还表明,石英和层状硅酸盐矿物对PCP吸附以表面络合反应为主,而氧化铁矿物则包含表面络合反应和表面静电吸附反应,但以后者占主导,其反应平衡常数比前者大1～3个数量级。高岭石和氧化铁矿物的浓度吸附等温线可用Langmuir方程很好拟合,最大吸附量的大小顺序是赤铁矿>纤铁矿>针铁矿>高岭石>石英>蒙脱石≈伊利石,并可以用矿物表面羟基位浓度和反应机制加以解释。PCP在矿物表面可观的吸附量说明矿物表面吸附对憎水性可离解有机化合物(HIOCs)在天然水相体系和沉积中的迁移转化过程起着相当重要的作用。     

五氯苯酚在氧化物和粘土矿物表面吸附:表面反应模式及其环境意义

石英、高岭石、伊利石、蒙脱石和铁氧化物对五氯苯酚(PCP)吸附的pH关系等温线和浓度关系等温线已用批量平衡技术进行研究。所有矿物的pH关系等温线都表现出典型的峰形曲线特征,峰位在pH=5~6之间,依矿物不同而不同。基于矿物表面羟基位化合态和PCP的化合态考虑,研究提出一种包含表面络合反应和表面静电吸附反应的模式,对pH关系等温线计算拟合发现有很好的相关性。模式计算还表明,石英和层硅酸盐矿物对PCP吸附以表面络合反应为主,而氧化铁矿物则既包含表面络合反应,又包含表面静电吸附反应,但以后者占主导,其反应平衡常数比前者大1~3个…     

Association of dissolved aluminum with silica: Connecting molecular structure to surface reactivity using NMR

We studied uptake mechanisms for dissolved Al on amorphous silica by combining bulk-solution chemistry experiments with solid-state Nuclear Magnetic Resonance techniques (²⁷Al magic-angle spinning (MAS) NMR, ²⁷Al{¹H} cross-polarization (CP) MAS NMR and ²⁹Si{¹H} CP-MAS NMR). We find that reaction of Al (1 mM) with amorphous silica consists of at least three reaction pathways; (1) adsorption of Al to surface silanol sites, (2) surface-enhanced precipitation of an aluminum hydroxide, and (3) bulk precipitation of an aluminosilicate phase. From the NMR speciation and water chemistry data, we calculate that 0.20 (±0.04) tetrahedral Al atoms nm⁻² sorb to the silica surface. Once the surface has sorbed roughly half of the total dissolved Al (∼8% site coverage), aluminum hydroxides and aluminosilicates precipitate from solution. These precipitation reactions are dependent upon solution pH and total dissolved silica concentration. We find that the Si:Al stoichiometry of the aluminosilicate precipitate is roughly 1:1 and suggest a chemical formula of NaAlSiO₄ in which Na⁺ acts as the charge compensating cation. For the adsorption of Al, we propose a surface-controlled reaction mechanism where Al sorbs as an inner-sphere coordination complex at the silica surface. Analogous to the hydrolysis of , we suggest that rapid deprotonation by surface hydroxyls followed by dehydration of ligated waters results in four-coordinate (>SiOH)₂Al(OH)₂ sites at the surface of amorphous silica.     

Surface Charge Concentrations on Silica in Different 1.0 M Metal-Chloride Background Electrolytes and Implications for Dissolution Rates

The empirical rate laws formulated to describe the dissolution rates of oxide minerals include the surface charge concentration that results from the protonation and deprotonation of surface functional groups. Previous experiments on quartz and silica have shown that dissolution rates vary as a function of different background electrolyte solutions, however, such experiments are often conducted at elevated temperatures where it is difficult to estimate surface charge along with the dissolution rates. In the present study we measuresurface charge concentrations for silica in different electrolyte solutions at 298 K in order to quantify the extent to which the different counterions could affect the dissolution rates through their influence on the surface charge concentrations. The experimental solutions in the electrolyte series: LiCl, NaCl, KCl, RbCl, CaCl₂, SrCl₂ and BaCl₂ were prepared to maintain a constant metal concentration of 1.0 M. For the alkali-metal chlorides, the surface charge concentrations correlate with the size of the hydrated alkali metal, consistent with the idea that these counterions affect charge via outer-sphere coordination that shield proton surface complexes from one another. The reactivity trend for alkaline-earth cations is less clear, but the data demonstrate distinct differences in the acid-base propertiesof the silica surface in these different electrolytes. We then discuss how these trends are manifested in the rate equations used to interpret dissolution experiments.     

Surface Acidity of Amorphous Aluminum Hydroxide

The surface acidity of synthetic amorphous AI hydroxide was determined by acid/base titration with several complementary methods including solution analyses of the reacted solutions and XRD characterization of the reacted solids. The synthetic specimen was characterized to be the amorphous material showing four broad peaks in XRD pattern. XRD analyses of reacted solids after the titration experiments showed that amorphous AI hydroxide rapidly transformed to crystalline bayerite at the alkaline condition （pH〉10）. The solution analyses after and during the titration Ksp=^aAl^3＋/aH^＋^3 ,was 10^10.3. The amount of consumption of added acid or base during the titration experiment was attributed to both the protonation/deprotonation of dissolved AI species and surface hydroxyl group. The surface acidity constants, surface hydroxyl density and specific surface area were estimated by FITEQL 4.0.     

氧化铁矿物对重金属离子的吸附及其表面特征

杂质和复杂的微形貌导致铁（氢）氧化矿物表面的能量和结构高度不均一。能量高、配位数低的位置吸附力强。电荷和离子半径决定了重金属离子的吸附能力。由于表生地球化学过程中的吸附过程几乎都与流体有关,流体的ｐＨ值主要通过对铁氧化物的影响吸附过程,ｐＨ值的变化改变了铁氧化物表面羟基的分布,即改变表面吸附位置的结构,进而影响氧化物的吸附能力,铁（氢）氧化物的表面结构其复杂,现有的吸附理论从不同的角度出发,在一定程度上解释了铁（氢）氧化物的吸附行为,但也存在许多问题。     

Mechanism of kaolinite dissolution at room temperature and pressure Part II: kinetic study

Studies on the dissolution kinetics of kaolinite were performed using batch reactors at 25°C and in the pH range from 1 to 13. A rapid initial dissolution step was first observed, followed by a linear kinetic stage reached after approximately 600 hr of reaction during which the kaolinite dissolves congruently at pH < 4 and pH > 11. The apparent incongruency between pH 5 and 10 was due to the precipitation of an Al–hydroxide phase. The true dissolution rates were computed from the amount of Si released into solution. The rate dependence on pH can be described by: r = 10−12.19aH+0.55 + 10−14.36 + 10−10.71aOH−0.75Between pH 5 and 10, the rate is approximately constant, although a smooth minimum was observed at pH close to 9. mAn attempt was made to obtain a general rate law based on the coordination theory, which was first applied to the mineral dissolution studies by Stumm and co-workers. The kinetic data were combined with the results obtained for the surface speciation by Huertas et al. (1998). It is possible to express the linear dissolution rate as a simple power function of the concentration of the surface sites active in various pH ranges: r = 10−8.25 [>Al2OH2+] + 10−10.82 [>AlOH2+]0.5 + 10−9.1 [>Al2OH + >AlOH + >SiOH] + 103.78 [>Al2O− + >AlO−]3This equation assumes that the dissolution mechanism is mainly controlled by the two Al surface sites (external and internal structural hydroxyls, and aluminol at the crystal edges) under both acidic and alkaline conditions. The model reflects well the important contribution of the crystal basal planes to the dissolution of kaolinite.     

Acid-base properties of a goethite surface model: A theoretical view

Density functional theory is used to compute the effect of protonation, deprotonation, and dehydroxylation of different reactive sites of a goethite surface modeled as a cluster containing six iron atoms constructed from a slab model of the (1 1 0) goethite surface. Solvent effects were treated at two different levels: (i) by inclusion of up to six water molecules explicitly into the quantum chemical calculation and (ii) by using additionally a continuum solvation model for the long-range interactions. Systematic studies were made in order to test the limit of the fully hydrated cluster surfaces by a monomolecular water layer. The main finding is that from the three different types of surface hydroxyl groups (hydroxo, μ-hydroxo, and μ₃-hydroxo), the hydroxo group is most active for protonation whereas μ- and μ₃-hydroxo sites undergo deprotonation more easily. Proton affinity constants (pK_a values) were computed from appropriate protonation/deprotonation reactions for all sites investigated and compared to results obtained from the multisite complexation model (MUSIC). The approach used was validated for the consecutive deprotonation reactions of the [Fe(H₂O)₆]³⁺ complex in solution and good agreement between calculated and experimental pK_a values was found. The computed pK_a for all sites of the modeled goethite surface were used in the prediction of the pristine point of zero charge, pH_PPZN. The obtained value of 9.1 fits well with published experimental values of 7.0-9.5.     

Investigation of time-dependent reactions of H+ ions with variable and constant charge soils: a comparative study

A sampling-separation method and a dynamic monitoring method were used to investigate the time-dependent reactions of H⁺ ions with two contrasting types of soil, variable charge soils (VCS) and constant charge soils (CCS), by directly evaluating H⁺ ion consumption and other relevant consequences. The results for both CCS and VCS show that H⁺ ion consumption, increase in positive surface charge and increase in soluble Al are all characterized by a rapid step followed by a slow one. The higher the content of free Fe oxides in the soil, the larger the increase in positive surface charge and in H⁺ ion consumption in the initial rapid step. This is due mainly to protonation on external surfaces. The gradual increase in positive surface charge in the slow step for the 3 VCSs is a result of H⁺ ion diffusion to the reactive sites of Fe–OH on internal surfaces. The very low content of free Fe oxides on internal surfaces of the 2 CCSs render a negligible increase in positive surface charge in the slow step. For the 3 VCSs, the gradual consumption of H⁺ ions in the slow process is the result of protonation, Al dissolution and/or transformation into exchangeable acidity. For the 2 CCSs, however, the gradual consumption is mainly the result of Al dissolution and/or transformation into exchangeable acidity. The time-dependent Al dissolution from both VCS and CCS is influenced by several factors such as mineral components, solubility and dissolution rates of the soils, and H⁺ ion concentration in soil suspensions.     

Mechanism of aluminum release from variable charge soils induced by low-molecular-weight organic acids: Kinetic study

The kinetic curves of aluminum release from two variable charge soils and a kaolinite within 48 h can be divided into three stages: the first stage located within the initial 30 min, at which the release rate of Al was the fastest one and the released Al dominantly originated from exchangeable Al and amorphous Al pools. The Elovich equation fit the kinetics data at this stage fairly well. The moderate and the slow stages occurred within 0.5-2 and 2-48 h, respectively. During these two stages, the released Al was mainly attributed to Al oxides, poorly crystalline kaolinite and easily weathered hydrous mica. The different linear equations also fit the kinetics data at these two stages well. The rate of Al release decreased sharply with time during the fast stage, but the rate remained constant during the moderate and slow stages. In Ultisol, Al oxides were the more important pool for Al release than poorly crystalline kaolinite and easily weathered hydrous mica during the latter two stages. In Oxisol, poorly crystalline kaolinite was the more important Al pool. Compared to the control system, the presence of organic acids increased the rate and quantity of Al release from variable charge soils. The ability of organic acids to accelerate Al release followed the order: oxalic acid > citric acid > malic acid > lactic acid. This is generally in consistent with the magnitude of the stability constants of the Al-organic complexes. The release rate of Al also increased with the rise in concentration of organic acids.