电化学氢化物发生原子荧光法同时测定砷和锑

采用电化学氢化物发生与原子荧光联用技术，同时测定了样品中的As和Sb含量。对各种实验参数和干扰情况进行了详细研究。As在0～500μg/L，sb在0～300μg/L之间均有良好的线性关系；相对标准偏差(RSD)(10μg/L，n=11)分别是3．7％和1．8％；检出限分别为0．14μg/L和0．20μg/L。     

电化学冷蒸气发生-原子荧光光谱法测定人发中的痕量汞

采用自制的电化学流通池作为汞蒸气发生器,以玻碳为阴极材料,结合原子荧光光谱法,在断续流动条件下,建立了电化学冷蒸气发生法-原子荧光光谱联用技术(ECVG-AFS)对汞的分析方法.在优化的实验条件下,汞在0～5.0μg/L范围内荧光强度与浓度呈良好的线性关系,汞的检出限为1.2 ng/L.对1μg/L Hg测定的相对标准偏差为1.8%(n=11).可用于人发标准样品中汞的测定.     

碱性模式氢化物发生原子荧光光谱法测定铁矿石中砷

建立了碱性模式氢化物发生原子荧光光谱法测定铁矿石中砷的最佳仪器和实验条件。采用微波消解分解样品,在硫脲和L-半胱氨酸存在下将As（Ⅴ）还原为As（Ⅲ）,以1mol／L KOH作为介质,以0．75mol／L H3PO4作为载流,原子荧光光谱法测定样品中的砷。方法检出限为0．35μg／L,RSD在2．0％。9．4％之间,加标回收率95％～103％。对标准样品进行分析验证,结果与标准值相符。应用于铁矿样品的测定,结果满意。     

氢化物原子荧光光谱法测定虾中砷和汞

建立了氢化物原子荧光法同时测定虾中砷和汞的方法。研究了样品前处理及实验条件对测定砷、汞的原子荧光强度的影响，并探讨了共存离子对测定砷、汞的干扰和消除的方法。本方法具有操作简便、快速、灵敏度高等优点，砷和汞的检出限分别为0．026μg/L和0．020μg／L；相对标准偏差分别为1．7％～9．4％和1．2％～9．4％；回收率为98％～106％。     

流动注射冷蒸气发生法测定环境样品中痕量汞

以气体扩散膜为分离装置，流动注射进样冷蒸气发生法测定了土壤中的汞。试验了载流种类，流速，浓度，还原剂的浓度，流速，载气及春流速等分析参数对测定的影响。实验中观察到Cr(Ⅵ）对汞的响应信号有负干扰。方法的线范围为0－20μg/L，检出限为0．01μg/L，在2μg/L、5μg/L含量水平测定，方法的相对标准偏差（RSD）分别为1．5％和0．54％，回收率在91％－110％之间。     

化学蒸气发生-四通道原子荧光光谱法同时测定水样中的痕量砷、锑、硒和汞

应用自行设计的化学蒸气发生-四通道无色散原子荧光光谱仪,建立了同时测定水样中As、Sb、Se、Hg的新方法.在实验中优化了四元素同时化学蒸气发生条件和测定的最佳工作参数.在样品预处理阶段用HCl将Se6+还原为Se4+,然后用质量浓度5 g/L硫脲将As5+和Sb5+还原为As3+和Sb3+.在最佳条件下,方法对As、Sb、Se、Hg的检出限分别为0.05、0.03、0.05、0.01 ng/mL(3d);RSD分别为0.42%、0.74%、0.97%、1.0%(对5 ng/mL As、Sb、Se和0.5ng/mL Hg混合标准,n=7).用所建立的方法对不同类型水样中的As、Sb、Se、Hg进行了同时测定,测定结果与用标准方法测定所得结果之间无明显差异,各元素的加标回收率在93%～105%.     

流动注射在线吸发离预浓集冷蒸气原子吸收法测定痕量镉

研究了IRC－718离子交换树脂、122螯合树脂和MuromacA-1树脂对镉 的预浓集条件,建立了超痕量镉的流动注射在线吸着分离预浓集冷蒸气发生原子吸收光谱测定方法,在每小时进样60,60和45次速度下检出限（3σ）分别为3．0,3．0和2．4ng/L,线性范围0－0．3μg/L,对0．2μg/L镉测定的相对标准偏差为2．0％－2．6％（n=11),。讨论了用这3种离子交换树脂微柱进行分离预浓集时条件参数的优化、抗干扰能力以及对天然水样的回收率,并分别进行了水样的测定。     

顺序注射氢化物发生-原子荧光光谱法同时测定中草药中的铋和汞

建立了一种顺序注射氢化物发生一原子荧光光谱法测定中草药中的Bi和Hg的方法,同时讨论了共存离子的干扰情况。结果表明,在最佳实验条件下,Bi和Hg的检出限分别为0．0012和0．0045μ/L,加标回收率为93．2％-104．9％。     

双道原子荧光光谱法测定蔬菜中的砷和汞

采用湿法消解蔬菜样品,用AFS-230E型双道原子荧光光度计测定蔬菜中的As和Hg重金属含量。在最佳实验条件下,As和Hg元素的工作曲线相关系数(r)分别为0.999 2和0.999 6,检出限分别为0.011 9和0.013 9μg/L,加标回收率分别为:91.6%~101.5%和89.8%~97.3%,相对标准偏差(RSD,n=7)分别为1.4%和0.52%,方法可供各地测定各类蔬菜中As和Hg等重金属元素含量作参考。     

微波消解-双道原子荧光法同时测定家禽肝脏中硒和碲

建立了微波消解样品,双道原子荧光光谱法同时测定家禽肝脏中的Se和Te。优化了仪器工作参数、反应体系及消解条件,考察了Cr3+,Cu2+,Pb2+,Co2+,Zn2+,Ni2+,As3+,Sb3+等8种共存离子的干扰。在选定的最佳实验条件下,Se和Te的方法检出限分别为0.11μg/L和0.077μg/L,日间、日内RSD均小于5%;样品中Se,Te的加标回收率分别在93.2%~104.7%及90.8%~101.3%之间。方法适合于家禽肝脏中非金属元素含量的测定。     

On-line fermentation gas analysis: Error analysis and application of mass spectrometry

On-line fermentation gas analysis is of general interest because it permits the determination of metabolic rates in almost any biological process using living organisms. The consumption and production of gases (O₂, CO₂, CH₄, etc.) and volatile compounds may be determined without causing any risk of infection. Elemental balancing permits the determination of other metabolic rates if the stoichiometry is known. This was studied with the production of poly-β-hydroxybutyrate (PHB) by Alcaligenes latus. Estimations were based on the measurement of gas partial pressure and flow-rates, pH and alkali consumption rate. Experiments with a small quadrupole mass spectrometer showed unacceptable error propagation. Therefore, dynamic error propagation for all rates was studied using simulation. It was found that, for example, a 1% relative offset-calibration error for oxygen can result in an error in PHB estimation of > 50%. It is suggested that this culture is used in combination with elemental balancing for thorough tests of the accuracy of on-line gas analysis equipment. An on-line process gas analyser based on a quadrupole mass spectrometer (Balzers PGM 407) gave the following precision values (abs. vol.?%) during cultivation of Bacillus subtilis: nitrogen (m/z 14), 0.024; oxygen (m/z 32), 0.020; argon (m/z 40), 0.0011; and carbon dioxide (m/z 44), 0.0034. These values, combined with automatic recalibration, would be sufficient for reasonable estimation of PHB, biomass and substrates.     

Impact of alkali treatment on physico-chemical,thermal, structural and tensile properties of Carica papaya bark fibers

This study aims to examine the effect of sodium hydroxide (NaOH) treatment on the physico-chemical properties, structure, thermal, tensile and surface topography of Carica papaya fibers (CPFs). The surface of raw CPFs was modified by soaking with 5% NaOH solution for 15, 30, 45, 60, 75 and 90?min. The results of thermo-gravimetric analysis revealed that the optimum treatment time for alkali treatment was 60?min. It was found that the alkali treatment improved the properties of the CPFs. The results of TGA, FT-IR, XRD and AFM suggest that the treated CPF is a suitable alternative as reinforcement in polymer composites.     

Chemometric and trend analysis of water quality of the South Chennai lakes: an integrated environmental study

In order to bring out the nature of the factors influencing lake water composition, multivariate statistical analysis and trend analysis were performed based on the hydrochemical data of the study area, namely, South Chennai. Change in land use pattern and settlements along the banks of the lakes alters the quality and quantity of the surface water. In the present study, the R‐mode factor analysis and cluster analysis were applied to the geochemical parameters of the water to identify the factors affecting the chemical composition of the lake water. Dendograms of both the seasons give three major clusters, reflecting the groups of unpolluted to moderately polluted, polluted, and heavily polluted stations. The movement of stations from one cluster to another clearly brings out the seasonal variation in the chemical composition of the lake water. The complex hydrochemical data of the surface water were interpreted by condensing them into three major factors. Factor score analysis was used successfully to delineate the stations under study and the role of the contributing factors, and the nature of factors responsible for the variation in chemical composition of the water has been clearly brought out. Results of trend analysis using ArcGIS clearly indicate that the trend in water quality is deteriorating at a faster rate in the eastern part of the study area. It is understood that although natural shifts probably can account for some of the variation, it is most likely that human activities play a major role in affecting the water quality on a regional scale. Copyright © 2014 John Wiley & Sons, Ltd.     

Time-series analysis in analytical process control

Analysis of time series tries to extract tendencies from measured values dependent on time. For this purpose the cusum technique has proved to be a very sensitive tool for the evaluation of both current and completed time series. Even very weak tendencies can be detected at a high level of noise. Time-series analysis further tries to predict values to come from hitherto performed measurements. As a very flexible model exponential smoothing could be successfully used. Even for processes with a high extent of non-stationarity this model allowed a good prediction owing to the dynamics of the process. Three types of time-series analysis, i.e., evaluation of current measurements, retrospective evaluation and prediction of data (also known as “in vivo”, “post mortem” and “in futurum” time-series analysis) are demonstrated for problems stemming from analytical process control.     

Determination of rank by augmentation (DRAUG)

Determining the rank of a chemical matrix is the first step in many multivariate, chemometric studies. Rank is defined as the minimum number of linearly independent factors after deletion of factors that contribute to random, nonlinear, uncorrelated errors. Adding a matrix of rank 1 to a data matrix not only increases the rank by one unit but also perturbs the primary factor axes, having little effect on the secondary axes associated with the random errors in the measurements. The primary rank of a data matrix can be determined by comparing the residual variances obtained from principal component analysis (PCA) of the original data matrix to those obtained from an augmented matrix. The ratio of the residual variances between adjacent factor levels represents a Fisher ratio that can be used to distinguish the primary factors (chemical as well as instrumental factors) from the secondary factors (experimental errors). The results gleaned from model studies as well as those from experimental studies are used to illustrate the efficacy of the proposed methodology. The method is independent of the nature of the error distribution. Limitations and precautions are discussed. An algorithm, written in MATLAB format, is included. Copyright © 2011 John Wiley & Sons, Ltd.     

新材料的发展与分析化学

文章介绍了新材料的重要性及发展方向,分析化学在新材料研制中起着耳目的作用,另一方面新材料也为分析化学的进展提供了课题与条件。微量分析、微区分析、表面分析是此领域中的重点。在未来的发展中,分析化学在材料的发展中的地位不会改变,并期待着分析灵敏度与空间分辩率的进一步提高。     

Automatic window factor analysis—A more efficient method for determining concentration profiles from evolutionary spectra

An algorithm called automatic window factor analysis (AUTOWFA) is developed for the purpose of determining, efficiently and automatically, the concentration profiles of the spectroscopically active components present in evolutionary processes, such as chemical titration, chromatography and kinetics. The method not only yields windows and profiles in agreement with those reported in the literature, but also reveals components not detected by precursor techniques. The method, however, has not been optimized and may require user interaction to fine-tune the windows.     

Determination of Mercury in Geological Materials by Continuous-Flow,Cold-Vapor,Atomic Absorption Spectrophotometry

Abstract

To determine mercury in geological materials, samples are digested with nitric acid and sodium dichromate in a closed teflon vessel. After bringing to a constant weight, the digest is mixed with air and a sodium chloride-hydroxylamine hydrochloride-sulfuric acid solution and then Hg(II) is reduced to Hg with stannous chloride in a continuous flow manifold. The mercury vapor is then separated and measured using cold vapor atomic absorption spectrophotometry (CV-AAS). For a 100 mg sample the limit of detection is 20 parts per billion (ppb) Hg in sample. To obtain a 1% absorption signal, the described method requires 0.21 ppb Hg solution (equal to 16 ppb in sample). Precision is acceptable at less than 1.2% RSD for a 10 ppb Hg aqueous standard. Accuracy is demonstrated by the results of the analysis of standard reference materials. Several elements do interfere but the effect is minimal because either the digestion procedure does not dissolve them (e.g., Au or Pt) or the; are normally of low abundance (e.g., Se or Te).