High-sensitivity X-ray fluorescence analysis of solutions with the use of a sorption accumulation microsystem

A mass-transfer kinetic model is proposed for an embedded sorption accumulation microsystem based on polycapillary structures to be used in the developed X-ray fluorescence analyzer with preconcentration. The model is used to substantiate a kinetic method for high-sensitivity X-ray fluorescence determination of elements in multicomponent solutions. With the use of this model, experimental data on X-ray fluorescence spectra are analyzed and kinetic and equilibrium parameters are found for the sorption of copper, nickel, manganese, iron, and zinc on the selective DETATA sorbent.     

Empirical Multicomponent Equilibrium and Film-Pore Model for the Sorption of Copper,Cadmium and Zinc onto Bone Char

The adsorption of three metal ions onto bone char has been studied in both equilibrium and kinetic systems. An empirical Langmuir-type equation has been proposed to correlate the experimental equilibrium data for multicomponent systems. The sorption equilibrium of three metal ions, namely, cadmium (II) ion, zinc (II) ion and copper (II) ion in the three binary and one ternary systems is well correlated by the Langmuir-type equation. For the batch kinetic studies, a multicomponent film-pore diffusion model was developed by incorporating this empirical Langmuir-type equation into a single component film-pore diffusion model and was used to correlate the multicomponent batch kinetic data. The multicomponent film-pore diffusion model shows some deviation from the experimental data for the sorption of cadmium ions in Cd-Cu, Cd-Zn and Cd-Cu-Zn systems. However, overall this model gives a good correlation of the experimental data for three binary and one ternary systems.     

Component analysis of the fluorescence spectra of a lignin model compound

In order to test whether lignin fluorescence originates from discrete fluorophores, fluorescence emission spectra of the lignin model dehydrogenative polymer (DHP) were analyzed by the band deconvolution method and time-resolved analysis of both the excitation and emission spectra. Two series of 22 fluorescence emission spectra of DHP in chloroform/methanol (3:1, v/v) solution, and as a solid suspension in water, were deconvoluted into three fluorescence and one Raman Gaussian components. Emission spectra were obtained by stepwise variation of the excitation wavelength from 360 to 465 nm. Deconvolution was performed by nonlinear fitting of all three Gaussian parameters: area, width and position. Position of all components in a series was treated as a random variable and its approximate probability distribution (APD) calculated from a series of histograms with increasing number of abscissa intervals. A five peak multimodal APD profile was obtained for both series of DHP emission spectra. The mean fluorescence lifetime varied with wavelength both in the emission and the excitation decay-associated spectra (DAS), where four kinetic components were resolved. The shapes of the excitation spectra of the four components were quite different and gradually shifted bathochromically. The multicomponent nature of the DHP emission spectra along with the changes in the mean fluorescence lifetime and the form of the excitation DAS of the four components give evidence of the heterogeneous origin of fluorescent species emitting in the visible.     

Assigning the resonance Raman spectral features of rhodopsin, isorhodopsin and bathorhodopsin in bovine photostationary state spectra.

Abstract—High resolution resonance Raman spectra of rhodopsin. isorhodopsin and photostationary state mixtures containing a high percentage of bathorhodopsin arc presented. New spectral features are detected which were not obsei-ved in lower resolution studies by other workers. All of the hands in the photostationary state spcctra arc assigned based on pure rhodopsin and isorhodopsin resonance Raman results and alterations in the photostationary state mixture. The spectral features in these spectra are invariant from 20 to 150K indicating that retinal and protein structural alteration, consistent with a model of excitation proposed by Lewis, occurs in steady-state spectra even at 20 K. In addition, the relative intensity of certain features in the photostationary state spectra are altered upon D₂O suspension. One explanation for these alterations is that the contributions of various intcrmediates to the photostationary state mixture are changed when membrane fragments are suspended in D₂O.     

Study of photoisomerization of polymethine dyes at low temperatures employing pulse laser photolysis

Conclusions Establishing the photostationary equilibrium of the isomers of polymethine dyes under the influence of constant light radiation from a probe lamp at low temperatures makes it possible, by varying the wave-length of the photoexcitation, to record the differential absorption spectra of both the cis- and trans-photoisomers, and to study the kinetic characteristics of the di-cis-photoisomers, which are not observed under ordinary conditions.Translated from Izvestiya Akademii Nauk SSSR, Seriya Khimicheskaya, No. 3, pp. 691–695, March, 1978.     

Homogeneous indirect fluorescence quenching immunoassay for the determination of low molecular weight substances

This paper describes the principle of a homogeneous indirect fluorescence quenching immunoassay that uses monoclonal antibodies. It is a carrier-free assay system that is performed completely in solution. The assay system was established for the determination of a low molecular weight substance (hapten), the herbicide diuron, used as a model analyte. A fluorescein–monuron conjugate together with a fluorescence-quenching monoclonal anti-fluorescein antibody and an anti-analyte antibody (here an anti-diuron/monuron monoclonal antibody) were used as central components of the assay. The fluorescein–monuron conjugate can be bound either by the anti-fluorescein monoclonal antibody or by the anti-diuron/monuron monoclonal antibody. Due to steric hindrance, binding of both antibodies to the conjugate was not possible at the same time. By selecting the antibody concentrations appropriately, a dynamic equilibrium can be established that permits the preferential binding of the anti-diuron/monuron antibody to the conjugate, which allows the fluorescein in the conjugate to fluoresce. This equilibrium can be easily altered by adding free analyte (diuron), which competes with the conjugate to bind to the anti-diuron/monuron antibody. A reduction of anti-diuron/monuron antibody binding to the conjugate results in an increase in the binding of the anti-fluorescein antibody, which leads to a decrease in the fluorescence of the conjugate. The fluorescence is therefore a direct indicator of the state of equilibrium of the system and thus also the presence of free unconjugated analyte. The determination of an analyte based on this test principle does not require any washing steps. After the test components are mixed, the dynamic equilibrium is rapidly reached and the results can be obtained in less than 5 min by measuring the fluorescence of the fluorescein. We used this test principle for the determination of diuron, which was demonstrated for concentrations of ∼5 nM.     

Empirical kernel map approach to nonlinear underdetermined blind separation of sparse nonnegative dependent sources: pure component extraction from nonlinear mixture mass spectra

Nonlinear underdetermined blind separation of nonnegative dependent sources consists in decomposing a set of observed nonlinearly mixed signals into a greater number of original nonnegative and dependent component (source) signals. This hard problem is practically relevant for contemporary metabolic profiling of biological samples, where sources (a.k.a. pure components or analytes) are aimed to be extracted from mass spectra of nonlinear multicomponent mixtures. This paper presents a method for nonlinear underdetermined blind separation of nonnegative dependent sources that comply with a sparse probabilistic model, that is, sources are constrained to be sparse in support and amplitude. This model is validated on experimental pure component mass spectra. Under a sparse prior, a nonlinear problem is converted into an equivalent linear one comprised of original sources and their higher‐order, mostly second‐order, monomials. The influence of these monomials, which stand for error terms, is reduced by preprocessing a matrix of mixtures by means of robust principal component analysis and hard, soft and trimmed thresholding. Preprocessed data matrices are mapped in high‐dimensional reproducible kernel Hilbert space (RKHS) of functions by means of an empirical kernel map. Sparseness‐constrained nonnegative matrix factorizations in RKHS yield sets of separated components. They are assigned to pure components from the library using a maximal correlation criterion. The methodology is exemplified on demanding numerical and experimental examples related respectively to extraction of eight dependent components from three nonlinear mixtures and to extraction of 25 dependent analytes from nine nonlinear mixture mass spectra recorded in nonlinear chemical reaction of peptide synthesis. Copyright © 2014 John Wiley & Sons, Ltd.     

Multicomponent adsorption modeling: isotherms for ABE model solutions using activated carbon F-400

Biobutanol has attracted significant interest in recent decades and is seriously considered as a potential biofuel to partly replace gasoline. However, some production challenges must be addressed to make butanol economically viable such as the low product concentration and product toxicity inhibiting the microorganism. To alleviate these limitations, several in situ or ex situ separation techniques have been investigated in view of their integration to the biobutanol production process to enhance its economic viability. One of these techniques is adsorption which is one of the most energy-efficient techniques used for biobutanol separation. Considering the number of chemical species present in the ABE fermentation broth, it is essential to develop multicomponent adsorption isotherms for all components as a first step to design a high performance adsorption process. Few multicomponent isotherm models have been proposed such as multicomponent Langmuir and Freundlich. In this study, these two models as well as artificial neural networks were used to model the isotherms of each component in an ABE fermentation broth as a function of the equilibrium concentrations of all components for activated carbon F-400. Results showed that the multicomponent Langmuir model was not accurate due to the many simplifying assumptions. The multicomponent Freundlich and feedforward neural network (FFNN) isotherm models were able to predict the behavior of multicomponent systems very well. Indeed, the predictive model of the experimental data had a coefficient of determination (R²) of 0.97 and 0.99, for multicomponent Freundlich and FFNN isotherm models, respectively.     

Measurement of vapor-liquid equilibrium in systems with components of very different volatility by the total pressure static method

To make feasible the experimental study of vapor-liquid equilibrium (VLE) in the systems mentioned in the title, a static apparatus for accurate measurement of total vapor pressures of solutions was constructed. Mixtures of known composition are prepared synthetically in a thermostated equilibrium cell by weight from pure degassed components and the total pressure is measured by a quartz Bourdon gage. A procedure was developed for degassing pure liquids to a degree corresponding to the high precision of pressure determination required. The static assembly was tested by comparing obtained isothermal vapor pressures and calculated excess Gibbs free energies with literature data for the benzene - cyclohexane system at 14 and 20°C, respectively. Additional experimental vapor-pressure data are presented for pure cyclohexane, benzene, and N-methylpyrrolidone (abbreviated throughout this paper as NMP) at 6–24°C and for the binary systems of benzene-cyclohexane at 8°C and cyclohexane - NMP and benzene - NMP at 8, 14, and 20°C over the entire composition range. The binary data were reduced by a modified Barker's method to evaluate excess Gibbs free energies and vapor phase compositions.     

Present status and potential of group contribution methods for process development

The development of chemical processes can be performed with the help process simulators. However, for the simulation, besides kinetic data, a reliable knowledge of the pure component and mixture properties is required. Since often 60–80% of the total costs arise in the separation step, a reliable knowledge of the phase equilibrium behaviour of the system to be separated is of special importance.The models for excess Gibbs energy g^E and equations of state allow the calculation of the phase equilibrium behaviour of multicomponent systems using binary information alone. But often, the required binary experimental data are missing. For these systems, a reliable predictive thermodynamic model with a large range of applicabilities would be most desirable.With a view to the development of a powerful predictive method, work on the development of a group contribution method was started in Dortmund 1973. A prerequisite for this work is a large database. Therefore, all published pure component properties, phase equilibrium data, and excess properties were stored in a computerized form. At the same time, experimental techniques for the systematic measurements were built up to measure the missing values.The information stored was used for the development of the group contribution method UNIFAC. The weaknesses of this method were removed with the development of modified UNIFAC. With the introduction of g^E-mixing rules in equations of state, the usage of the “solution of groups”-concept lead to group contribution equations of state. In combination with electrolyte models, the influence of strong electrolytes on the phase equilibrium behaviour can be taken into account.In this paper, the continuous development, present status, and potential of group contribution methods for the development of chemical processes will be shown.     

A Study of the Competitive Equilibrium in Ion Exchange of Calcium(II) on Zirconium Phosphate in Multicomponent Salt Solutions

A sorption technology for stabilization of multicomponent salt solutions (wines) subject to calcium clouding is being developed on the basis of an inorganic cation-exchanger of Termoksid-3A brand. In this connection the ion-exchange equilibrium on a zirconium(IV) phosphate of Termoksid-3A brand in multicomponent solutions at pH 2.5 – 3.0 was studied. The selectivity series of the sorbent were determined in relation to the solution composition.__________Translated from Zhurnal Prikladnoi Khimii, Vol. 78, No. 2, 2005, pp. 235–239.Original Russian Text Copyright © 2005 by Borovkov, Sharygin.     

PROTON, Mg2+ AND PROTEIN AS COMPETING LIGANDS FOR THE FLUORESCENT PROBE, MAG-INDO-1: A FIRST STEP TO THE QUANTIFICATION OF INTRACELLULAR Mg2+ CONCENTRATION

Abstract Increasing evidence of the role of magnesium in various cellular mechanisms has led to the need to develop an accurate method for the evaluation of magnesium concentration in cells. 1H-indole-6-carboxylic acid, 2–(4- bis- [carboxymethyl]amino-3–[carboxy]ethoxy) (mag-indo-1) is used as a fluorescent indicator for ionized magnesium concentration. A physicochemical study of this probe has pointed out (1) that at concentrations higher than 10 μ M , the presence of dimers can alter the different equilibria and (2) at concentrations, avoiding the dimer (≤ 10 μ M ), three fluorescent forms are in equilibrium with the deprotonated form of mag-indo-1 (L), which are the protonated form LH, the magnesium-bound form LM and the protein-bound form LP. A model is proposed that takes into account the equilibria between the four species. In a solution containing magnesium and protein, a complex fluorescence spectrum can be resolved by a combination of the three fluorescence spectra (L, LM, LP). However, under these conditions, the LH fluorescence spectrum is not taken into account for the spectral resolution. Finally, from the contribution of characteristic fluorescence spectra in the experimental fluorescence spectrum, the magnesium concentration can be estimated with accuracy. Such a method should be further applied to magnesium determination in different cell lines.     

用逆向神经元模型从两维混和谱中提取纯组分两维光谱

提出一种少输入、多输出节点的逆向神经元模型.当训练样本数大于模型输入节点数时,可以得到唯一的神经元模型权重.所求得的权重是混合物中组分的纯光谱.将蒽、菲、芘混合物的荧光激发-发射光谱中提取的纯光谱与实验谱作了比较,并分别作为广义减秩法的校准预报未知混合物的浓度.结果表明所求得的谱比实验谱更适合于作校准.对于蒽、菲、芘、平均预报百分误差从7.0%、8.5%、7.8%分别下降到2.3%、5.0%、3.5%.     

Spectrophotometric study of zirconocene/polymethylalumoxane catalytic systems: principal component analysis and parametric modeling

Transformation of electronic absorption spectra of zirconocene catalytic systems Ph₂CCpFluZrCl₂-polymethylalumoxane (MAO) and rac-Me₂Si(2-Me,4-PhInd)₂ZrCl₂-MAO (Flu is fluorenyl, Ind is indenyl) in toluene was studied upon a change in the ratio of reactants Al_MAO/Zr from 0 to 3000 mol mol⁻¹. Analysis of the spectroscopic data using statistical methods determined the number of reaction products in each system. A reaction model including three equilibria and being common for the both systems was proposed. Effective equilibrium constants and absorption spectra of individual reaction products were determined by parametric self-modeling of the experimental spectra. Published in Russian in Izvestiya Akademii Nauk. Seriya Khimicheskaya, No. 10, pp. 2257–2264, October, 2005.     

Scale-up of batch kinetic models

The scale-up of batch kinetic models was studied by examining the kinetic fitting results of batch esterification reactions completed in 75 mL and 5 L reactors. Different temperatures, amounts of catalysts, and amounts of initial starting reagents were used to completely characterize the reaction. A custom written Matlab toolbox called GUIPRO was used to fit first-principles kinetic models directly to in-line NIR and Raman spectroscopic data. Second-order kinetic models provided calibration-free estimates of kinetic and thermodynamic reaction parameters, time dependent concentration profiles, and pure component spectra of reagents and product. The estimated kinetic and thermodynamic parameters showed good agreement between small-scale and large-scale reactions. The accuracy of pure component spectra estimates was validated by comparison to collected NIR and Raman pure component spectra. The model estimated product concentrations were also validated by comparison to concentrations measured by off-line GC analysis. Based on the good agreement between kinetic and thermodynamic parameters and comparison between actual and estimated concentration and spectral profiles, it was concluded that the scale-up of batch kinetic models was successful.     

Dynamic two-dimensional fluorescence correlation spectroscopy. Generalized correlation and experimental factors

Dynamic two-dimensional fluorescence correlation spectroscopy (2D FCS) is presented in the general form. Dynamic 2D FCS evaluates the time correlation function between two wavelength axes when an external perturbation is applied to the sample. It displays the vibronic features with similar time response functions in the synchronous correlation spectrum and the features with different time responses in the asynchronous correlation spectrum. The correlation analysis allows detailed assignments of the vibronic spectra of multicomponent samples. The emission-emission 2D FCS has proven to be able to resolve spectra with substantial overlaps, of species in equilibrium with each other, and of reacting species whose kinetic constants are linked and multiexponential. Similarly, the correlation analysis between excitation wavelengths allows the assignment of the excitation bands to fluorescent components. When a sinusoidal light source is used to excite the sample, the excitation-emission correlation requires the collection of only four spectra, two in-phase and two quadrature. The two-dimensional excitation-emission correlation analysis uncovers the association between the excitation and the emission vibronic features, enabling the complete assignment of the component spectra. The band associations and spectral assignments are facilitated by the two-dimensional phase map that is constructed from the synchronous and asynchronous correlation spectra. Spectral resolution can be optimized by varying the frequency of excitation and is not influenced by the detector phase angle used to collect the spectra. The resolution power of the 2D FCS is demonstrated with the retrieval of the anthracene emission spectrum from a pyrene-anthracene mixture when it contributes only 4% to the total fluorescence intensity.     

混合线性分析法的原理及应用

对一种新近发展的多元校正方法－混合线性分析法（hybrid linear analysis,HLA)的原理进行了深入探讨和阐述，用该法进行了模拟体系和复方头孢氨苄制剂的分析，在主因子数确定，单位谱的获得，波长选择、适用范围等方面进行了讨论。结果表明，HLA法可给出优于偏量小二乘法（PLS）的结果，方法易行，结果准确。在复杂体系分析中具有较好的应用前景。     

Necessary and sufficient conditions for the appearance of extrema on concentration distribution curves in complex equilibrium systems

It is shown that species distribution curves with at least one minimum may be found in most equilibrium systems with three or more components. Whether such concentration minima are actually observed then depends on the values of the equilibrium constants and on the total (analytical) concentrations of the components. A general algorithm is given for the necessary and sufficient conditions for the appearance of extrema in multicomponent systems. Three-component systems are studied in more detail and special attention is given to the limiting case of a horizontal inflection, i.e., the point where the concentration minimum just disappears. Two well-studied chemical examples, the Cu(2+)-diethylenetriamine-OH(-) and Hg(2+)-Cl(-)-OH(-) systems are discussed, along with a simple model system showing as many as five extrema on a single distribution curve.     

主成份分析-偏最小二乘法分光光度法同时测定钴、镍、铜、锌四组份体系

用 PCA 及 PLS 分步处理分光光度数据,有效降低了计算的维数。以该法对不同酸度体系的5-Br-PADAP-钴、镍、铜、锌分光光度数据进行了处理,定量分析结果良好。