碱土金属盐中痕量铅的共沉淀分离富集及其机理研究

研究提出Ｃｕ（Ⅱ）＿ＰＤＣ在溶液ｐＨ２－１１时定量共沉淀碱土金属盐中的痕量铅,用ＦＡＡＳ测定,检出限可达１．５×１０＾２ｍｇ／Ｌ Ｐｂ（Ⅱ）,标准加入回收率在９８％－１０４％之间,克服了基体干扰,取得了较为满意的结果。同时对共沉淀机理进行了初步的研究探讨,结果表明其属于吸附共沉淀类型。     

铅对海马LTP的影响

综述了铅对海马“长时程增强”（ＬＴＰ）的影响,海马是学习记忆的关键部位,海马ＬＴＰ是记忆形成的基础。慢性铅暴露可使海马ＬＴＰ的幅度降低甚至抑制其诱导,铅可通过干扰海马ＬＴＰ过程,导致儿童的学习,记忆功能及心理行为异常,这可能是铅神经毒性机制之一。     

Factorial design in the optimization of preconcentration procedure for lead determination by FAAS

The present paper proposes a preconcentration procedure for lead determination using flame atomic absorption spectrometry (FAAS). It is based on lead(II) ions extraction as brilliant cresyl blue (BCB) complex and its sorption onto Diaion HP-2MG, a methacrylic ester copolymer. The optimization step was carried out using factorial design and the variables studied were pH, shaking time and reagent concentration. In the established experimental conditions, lead can be determinate with a limit of detection of 3.7 μg L⁻¹ lead (N = 20) and a relative standard deviation of 7% for a lead concentration of 100 μg L⁻¹. The accuracy was confirmed by analysis of a certified reference material, the stream sediment furnished by National Research Centre for Certified Reference Materials (NRCCRM), China (GBW 07310). Effect of other ions in the procedure proposed was also studied. The method was applied for lead determination in real samples of water, tea, soil and dust. Tests of addition/recovery in the experiments for lead determination in water samples revealed that the proposed procedure could be applied satisfactorily for analysis of these samples.     

Optimizing pyrolysis temperature of contaminated rice straw biochar: Heavy metal(loid) deportment,properties evolution,and Pb adsorption/immobilization

Pyrolysis of rice straw (RS), a popular method for producing biochar, effectively treats heavy metal(loid)-contaminated RS. Here, we carried out this process at different temperatures and investigated the deportment of heavy metal(loid)s and the property evolution of biochars. Also, the optimal pyrolysis temperature for Pb adsorption and immobilization was studied. We observed that increasing the temperature could volatilize the heavy metal(loid)s. Cd was the most volatile metal therein, followed by As, while Ni, Cu, and Pb were relatively refractory. More than 75% of the remaining heavy metal(loid)s were non-exchangeable fractions at 700 °C, significantly reducing the environmental risk during subsequent application. Meanwhile, higher pyrolysis temperature resulted in higher pH values, higher surface areas, and stronger Pb adsorption capacity of RS biochars. The maximum adsorption capacity (Q_m) of biochars was in the order of BC300 (77.2 mg·g^?1) < BC500 (137.2 mg·g^?1) < BC700 (222.6 mg·g^?1). Besides, high-temperature biochar could significantly reduce the vertical Pb migration. And BC700 increased the fraction of residual Pb from 39.7% to 44.0% in the soil under the acid rain leaching condition. Therefore, we propose that the heavy metal(loid)-contaminated RS biochar produced at 700 °C might be more suitable for the remediation of soil heavily polluted in the Pb-smelting area.     

Spectroscopic properties and bond dissociation energies of PbX,PbX±, PbX2 and PbX2± (X ​= ​F,Cl, Br,I)

Ab initio calculations have been performed to investigate some of the spectroscopic properties, like geometry, frequency, electron affinity, ionization potential and finally adiabatic bond dissociation energies (BDEs) of lead monohalides, lead dihalides and their ions viz. PbX, PbX^±, PbX₂, $\mathrm{P}\mathrm{b}{\mathrm{X}}_{\mathrm{2}}^{\pm }$ (X ?= ?F, Cl, Br, I) in their ground state at the QCISD(T)//MP2 level of theory using correlation consistent basis sets. For the validation of MP2 optimized geometry and frequency, we further obtained geometry and frequency of all the neutral and ionic systems using QCISD(T) method with the same basis sets. The BDEs of PbX₂ molecules are calculated using the BDEs of $\mathrm{P}\mathrm{b}{\mathrm{X}}_{\mathrm{2}}^{\pm }$ ions and taking ionization potential and electron affinity of various systems. The calculated values are found in good agreement with the available data. Most of the data for ionic systems are reported first time in literature.     

Targeting tribbles homolog 3 (TRIB3) protein against type 2 diabetes for the identification of potential inhibitors by in silico screening

Tribbles homolog 3 (TRIB3) protein is inhibiting the insulin signaling by directly binding to the Akt/PKB leading to insulin resistance in the pancreas causing type 2 diabetes mellitus. Hence, TRIB3 protein is considered as a possible drug target for the new lead identification against type 2 diabetes. In the present study, the homology model of TRIB3 protein was generated to explore its biochemical function and molecular interactions in the new lead identification. The energy minimization of TRIB3 protein was carried out and evaluated by validation protocols for structure reliability. The druggable binding site of TRIB3 protein was identified for the virtual screening and molecular docking studies. The Asinex-fragments library of 22634 small molecules was docked at TRIB3 active site using the Glide module to identify new chemical entities. A total of 9 molecules were identified as final hits from virtual screening and their potency was ranked using Glide score, Glide energies, and residues interactions. The 6 prioritized lead molecules were further optimized using AutoDock, Prime MM/GBSA, and percentage of human oral absorption for the identification of potential leads. The molecules L2, L5, and L6 are identified as lead inhibitors and are showing consistent interactions with key residues Glu194 and Lys196 of TRIB3 protein. The identified potential leads were analyzed by ADME properties for their drug likeness and HergIC50 values are predicted for the prevention of preclinical failures. The present work sheds light on the identification of the best lead molecules against TRIB3 protein and offers a route to design as novel potential drug candidates for T2DM.     

Electrochemical Detection of Lead Ion Based on a Peptide Modified Electrode

A novel biosensor harnessing a peptide layer which has specific affinity to lead ion proved to be highly effective for electrochemical analysis of lead ions. The peptide modified electrode was used for the electrochemical analysis of various trace metal ions by square wave voltammetry. Compared to the other ions investigated, the peptide modified electrode was found to be highly selective to Pb²⁺ in the range of 50–700 nM. Furthermore, the biosensor exhibited a high reusability and good spike recovery in the tap water containing various concentration of Pb²⁺.     

Preconcentration of lead,cadmium, copper and zinc in water at the pg g−1 level by non-boiling evaporation

An evaluation of the non-boiling evaporation technique for the preconcentration of Pb, Cd, Cu, Zn at the pg g^?1 level in water samples is presented. Various improvements were made to allow efficient control of contamination problems at these extremely low concentrations. They include the choice of FEP Teflon for the evaporation containers and the use of sophisticated cleaning, ageing and pre-conditionning procedures. Detailed calibration graphs were obtained down to the sub-pg g^?1 level by processing ultra-low concentration standards. This technique was then applied to the determination of these four metals in snow samples collected in Greenland and Antarctica.     

CVG-ICP-AES法测定饮用天然矿泉水中痕量铅和汞

自制化学蒸气发生器并建立了KBrO3KBr K3Fe(CN)6HCl KBH4的CVG ICP AES同时直接测定饮用天然矿泉水中痕量铅和汞的方法,该方法提高了灵敏度,改善了检出限。方法的检出限分别为0.7μg·L-1(Pb220.353nm),0.1μg·L-1(Hg184.950nm),相对标准偏差分别为0.8%～7.8%(Pb)和0.5%～6.2%(Hg);回收率分别为90.0%～100.0%(Pb)和92.8%～108.0%(Hg)。方法完全能满足饮用天然矿泉水中痕量铅和汞的分析。