Spectroscopic and semiempirical studies of a proton channel formed by the methyl ester of monensin A

Monensin A is an ionophore able to carry protons and cations through the cell membrane. Its methyl ester (MON1) and its hydrates have been studied in acetonitrile, and its deuterated analogue by Fourier transform infrared (FTIR) and (1)H and (13)C NMR spectroscopies as well as by vapor pressure osmotic and PM5 semiempirical methods. Interestingly, these hydrates show new and unexpected biophysical and biochemical properties. The formation of the hydrates starts with a transfer of a proton from the O(IV)-H hydroxyl group of MON1 to an oxygen atom of a water molecule, which is subsequently hydrated by other water molecules forming the (MON1 + 3H(2)O) species. This hydrate exhibits a ringlike structure in which the water molecules form an almost linear hydrogen-bonded chain. Within this chain, the excess proton fluctuates very fast inside the water cluster as indicated by a continuous absorption in the FTIR spectra. The formation of the (MON1 + 3H(2)O) species is accompanied by a self-assembly process, leading to the formation of a proton channel made up of eight (MON1 + 3H(2)O) units with a length of 60 A, in which the proton can fluctuate over the whole distance. Semiempirical calculations suggest that due to the hydrophobic surface the channel can be incorporated readily in a lipid bilayer. This hypothetical new channel is thought to be able to transport protons through the cell membrane. Thus it is a suitable model for studying proton-transfer processes, and in addition, it may open interesting new fields of application.     

Self-diffusion and density of liquid hexafluorobenzene as a function of pressure and temperature

Measurements of self-diffusion coefficients to pressures of 2000 bar? 1 bar ≡ 10⁵ N m^-2. and densities to 2600 bar, except where limited by freezing, have been made for liquid hexafluorobenzene C₆F₆ at eight temperatures from 15°C to 150°C. The N.M.R. spin echo technique was used for the self-diffusion measurements, and the densities were determined with a densitometer of the bellows-slidewire type. The density data have been fitted satisfactorily to a modified form of the Tait equation, and the self-diffusion results were reproduced by a polynominal in pressure for each isotherm.

Several models of transport in liquids were evaluated. All models depend sensitively upon a quantity ν-ν₀, the difference between the specific volume of the liquid and that of a hypothetical dense solid. The free volume model describes the data only if ν₀ is allowed to depend upon pressure. The hard sphere model failed to describe our results for C₆F₆ at temperatures above 70°C even when the effective hard sphere diameter was treated as an adjustable parameter.     

Evaluation of some parameters affecting troublesome pesticide analysis in gas chromatography-ion-trap mass spectrometry

Nowadays, multiresidue methods for pesticides monitoring in food commodities are commonly employed. It is also well known that the presence of several compounds from the matrix introduces a bias during the detection and the quantification steps. The so-called matrix effect phenomenon is related to the masking or formation of active sites. In GC, this phenomenon occurs in the injector port, and in the separative system (retention gap and/or analytical column) and also causes ionization potential modification of analytes. The main consequence of matrix effect is an increasing or decreasing analyte signal in the presence of the matrix (real sample) in respect to the same analyte in solvent (standard solution). In standard mixture, pesticides themselves interact with the active present sites among analytical chain from injector to the detector. Some matrix components, sometimes at trace amounts, are inevitably present in analyzed samples even after numerous and diverse clean-up procedures. In this paper, the influence of some analytical parameters on pesticide signal response is explored using gas chromatography with ion-trap mass-selective detection (GC-IT-MS). Moreover, the responses of characteristic troublesome analytes are analyzed in various kinds of matrices. Finally, matrix compound identification is initiated to study analyte-matrix relationship. Sample acidification with 0.1% acetic acid was the most appropriate for the majority of pesticides, while 0.1% formic acid was more suitable for base-sensitive ones (amitraz, imazalil, thiabendazole). Among tested calibration methods, matrix matched calibration provides the best results. In green bean matrix model, a matrix/pesticide ratio of 1/1 induces the best detected signal for almost every investigated analytes. Presence and quantity of some identified matrix co-extracted compounds like sterols could be partially a cause of signal enhancement.     

Benefiting from information-rich multi-frequency AC voltammetry coupled with chemometrics on the example of on-line monitoring of leveler component of electroplating bath

Simultaneous application of multiple sinusoidal waveforms perturbations superimposed onto DC staircase step significantly enriches current response. The measured current is characterized by a matrix of data rather than a conventional voltammetric output in a form of a vector. This increase of the dimensionality of the current response and therefore the wealth of analytical information is achieved without compromising the time of analysis. The natural approach for compression of such data and extraction of relevant information is by utilizing multi-way chemometric decomposition techniques. An electroplating solution presents a very challenging analyte for electroanalysis as its constituents interact synergistically with each other during both the plating process and its simulation during electroanalysis. For some components the mechanism is not entirely understood. Therefore, the only way to benefit from the analytical data is by employing soft modeling. The electrode processes involving additives rely heavily on adsorption and, indirectly, on electron transfer kinetics for which AC voltammetry is an analytical technique capable of delivering informative signals. This paper presents a rigorous universal method for calculating and validating an exemplary multi-way calibration of a leveler component in a copper electroplating bath used in the semiconductor industry. The method presented employs comparatively Parallel Factor Analysis coupled with Inverse Least Squares Regression and multi-linear Partial Least Squares. The calibration training set consists of multi-frequency AC voltammetric data subjected to pretreatments aiming to select informative independent variables and exclude outliers.     

Mass spectrometric characterization of glycosylation of hepatitis C virus E2 envelope glycoprotein reveals extended microheterogeneity of N-glycans

Hepatitis C virus (HCV) causes acute and chronic liver disease in humans, including chronic hepatitis, cirrhosis, and hepatocellular carcinoma. The polyprotein encoded in the HCV genome is co- and post-translationally processed by host and viral peptidases, generating the structural proteins Core, E1, E2, and p7, and five nonstructural proteins. The two envelope proteins E1 and E2 are heavily glycosylated. Studying the glycan moieties attached to the envelope E2 glycoprotein is important because the N-linked glycans on E2 envelope protein are involved in the interaction with some human neutralizing antibodies, and may also have a direct or indirect effect on protein folding. In the present study, we report the mass spectrometric characterization of the glycan moieties attached to the E2 glycoprotein. The mass spectrometric analysis clearly identified the nature, composition, and microheterogeneity of the sugars attached to the E2 glycopeptides. All 11 sites of glycosylation on E2 protein were characterized, and the majority of these sites proved to be occupied by high mannose glycans. However, complex type oligosaccharides, which have not been previously identified, were exclusively observed at two N-linked sites, and their identity and heterogeneity were determined.     

Some problems in metric fixed point theory

Three papers, published coincidentally and independently by Felix Browder, Dietrich G?hde, and W. A. Kirk in 1965, triggered a branch of mathematical research now called metric fixed point theory. This is a survey of some of the highlights of that theory, with a special emphasis on some of the problems that remain open. Dedicated to Felix Browder on the occasion of his 80th birthday     

Mass spectrometric approaches for elucidation of antigenantibody recognition structures in molecular immunology

Mass spectrometric approaches have recently gained increasing access to molecular immunology and several methods have been developed that enable detailed chemical structure identification of antigen-antibody interactions. Selective proteolytic digestion and MS-peptide mapping (epitope excision) has been successfully employed for epitope identification of protein antigens. In addition, "affinity proteomics" using partial epitope excision has been developed as an approach with unprecedented selectivity for direct protein identification from biological material. The potential of these methods is illustrated by the elucidation of a beta-amyloid plaque-specific epitope recognized by therapeutic antibodies from transgenic mouse models of Alzheimer's disease. Using an immobilized antigen and antibody-proteolytic digestion and analysis by high resolution Fourier transform ion cyclotron resonance mass spectrometry has lead to a new approach for the identification of antibody paratope structures (paratope-excision; "parex-prot"). In this method, high resolution MS-peptide data at the low ppm level are required for direct identification of paratopes using protein databases. Mass spectrometric epitope mapping and determination of "molecular antibody-recognition signatures" offer high potential, especially for the development of new molecular diagnostics and the evaluation of new vaccine lead structures.     

Glycal glycosylation and 2-nitroglycal concatenation, a powerful combination for mucin core structure synthesis

A 3,4-O-unprotected galactal derivative having bulky 6-O-TIPS protection (compound 2) could be regioselectively 3-O-glycosylated with O-(galactopyranosyl) trichloroacetimidates; depending on the protecting group pattern stereoselectively alpha- and beta-linked disaccharides were obtained. With O-(2-azido-2-deoxyglucopyransyl) trichloroacetimidate as donor (compound 10A), glycosylation of 2 and of a 6-O-unprotected galactal derivative led in acetonitrile as solvent exclusively to a beta(1-3)- and a beta(1-6)-linked disaccharide, respectively. Nitration of the galactal moieties of the saccharides followed by Michael-type addition of serine and threonine derivatives (7a,b) installed the alpha-galacto-configuration, thus readily furnishing O-glycosyl amino acid building blocks for the incorporation of core 1, core 2, core 3, core 6, and core 8 structures into glycopeptides. 2-Nitrogalactal and 2-nitroglucal derivatives could be also successfully employed in glycoside bond formation via Michael-type addition in a reiterative manner, affording the corresponding core 5, core 7, and core 6 building blocks. In this approach, highly stereoselective glycoside bond formations were based exclusively on Michael-type addition to the nitro-enol ether moiety of the 2-nitroglycals. Hence, 2-nitroglycals are versatile intermediates for base-catalyzed glycoside bond formation.