N-(4-(di-tert-butyl[F]fluorosilyl)benzyl)-2-hydroxy-N,N-dimethylethylammonium bromide ([F]SiFANBr): A novel lead compound for the development of hydrophilic SiFA-based prosthetic groups for F-labeling

¹⁸F-labeled compounds play a major role in the development of new in vivo imaging agents for Positron Emission Tomography (PET), a non invasive imaging modality depicting the biodistribution of radioactive compounds in humans. Recently we reported a new method for the introduction of fluorine-18 into a range of organic molecules exploiting the very fast ¹⁸F-¹⁹F isotope exchange of fluorosilanes (termed SiFA compounds). Here, we wish to report the labeling of the first charged SiFA molecule N-(4-(di-tert-butylfluorosilyl)benzyl)-2-hydroxy-N,N-dimethylethylammonium bromide (SiFAN⁺Br⁻) serving as a lead compound in the development of SiFA-based prosthetic groups of reduced lipophilicity for biomolecule labeling. Mild conditions for synthesis of [¹⁸F]SiFAN⁺Br⁻ and an easy purification procedure using simple C-18 solid phase cartridge have been developed yielding the [¹⁸F]SiFAN⁺Br⁻ in radiochemical yields of 34% (non-decay corrected) within 40 min. A series of kinetic experiments were performed that show high isotopic exchange rate constants. Low activation energy (15.7 kcal/mol) and a large preexponential factor (7.9 × 10¹³ M⁻¹ s⁻¹) were calculated for the isotopic exchange reaction from a corresponding Arrhenius plot. For comparison, the ¹⁸F-fluorination of ethyleneglycol-di-p-tosylate via the formation of a carbon-¹⁸F bond showed a 1.3 kcal/mol higher activation energy and a much lower preexponential factor of 2.9 × 10⁹ M⁻¹ s⁻¹. Moderate hydrophilicity (log D = 0.44), stability in aqueous media at pH up to 7.4 and a high specific activity of [¹⁸F]SiFAN⁺Br⁻ (SA = 20.4 GBq/μmol, 0.55 Ci/μmol) make this charged SiFA compound useful for the development of novel SiFA-based ¹⁸F-labeling synthons.     

Fluorine and chlorine behavior in chlorine-rich volcanic rocks from White Island, New Zealand

Extraordinarily high chlorine-bearing volcanic bombs were erupted from White Island volcano on January 25, 1987. The concentrations of fluorine and chlorine were measured in these paralava bombs and their likely parent rocks. The paralavas contain glass with over 1.0 wt.% and up to 1.7% of chlorine. The F/Cl ratios and their relationship with other constituents show that the fluorine and chlorine in the bombs were derived from hydrothermal fluid, most likely concentrated brine in an active Crater Pool.     

Separation of exenatide analogue mono-PEGylated with 40 kDA polyethylene glycol by cation exchange chromatography

Random PEGylation usually resulted in product mixtures composed of mono-PEGylated isomers and multi-PEGylated attachments. Generally in PEGylation research, separation of the mono-PEGylated isomers was the prerequisite for finding the optimal PEGylation site. However, when peptides or proteins were PEGylated with polyethylene glycol as large as 40 kDA, the physicochemical properties like hydrophobicity and molecular size of the isomers would become too similar to make the routine separation methods, like RP-HPLC, size-exclusion chromatography, SDS-PAGE and capillary isoelectric focusing invalid. This article presented a useful method of successfully separating exenatide analogue (an incretin for diabetic therapy) isomers mono-PEGylated with 40 kDA polyethylene glycol by cation exchange chromatography, which would be a powerful tool for the PEGylation research.     

Static and dynamic binding capacities of human immunoglobulin G on polymethacrylate based mixed-modal, thiophilic and hydrophobic cation exchangers

The aim of this study was to investigate functional increments of ion exchange type ligands, which may improve the performance of mixed-modal ligands for antibody capture out of feed solutions with pH above 6.0 and containing sodium chloride concentrations of 150 mM and higher. For this purpose several functional groups such as sulfonyl, sulfanyl, amide, methoxy, short alkyl and aromatic moieties were tested in combination with a strong sulfonic acid and/or a weak carboxylic acid group. Therefore a series of ligands were synthesized and subsequently coupled onto epoxide activated Fractogel^® EMD. In the first instance, all materials were tested by static binding capacity measurements (SBC) under test conditions, comprising a wide variety of different sodium chloride concentrations and differing pH values ranging from 4.5 to 7.5. From these preliminary experiment it was found that especially the aromatic groups improved the binding of human immunoglobulin G (h-IgG) under isotonic conditions, while other increments, e.g. thiophilic or amide groups, were not able to increase the capacity significantly. Taking the SBC results into account, the most promising materials were investigated under dynamic binding conditions (DBC) with a reduced selection of test conditions (pH 5.5, 6.5 and 7.4 at 75 and 150 mM NaCl). N-benzoyl-homocysteine (material J) and 3,5-dimethoxybenzoyl-homocysteine (material K) showed 100% DBCs of 37 mg/mL and 32 mg/mL in the presence of 75 mM NaCl and pH 6.5. Material L carrying mercaptobenzoic acid as a ligand and tested with the same solution provided a 100% DBC of 68 mg/mL. The influence of Pluronic F68 in a mock feed solution as well as in cell culture supernatant was investigated with the best performing bio-affinity type adsorbent, material L. For the real sample feed subsequent SDS-PAGE was conducted for the collected fractions.     

Speciation analysis of arsenic compounds in edible oil by ion chromatography-inductively coupled plasma mass spectrometry

An inductively coupled plasma mass spectrometer (ICP-MS) was used as an ion chromatographic (IC) detector for the speciation analysis of arsenic in edible oil. The arsenic species studied include arsenite, arsenate, monomethylarsonic acid, dimethylarsinic acid, arsenobetaine and arsenocholine. Gradient elution using (NH(4))(2)CO(3) and methanol at pH 8.5 allowed the chromatographic separation of all species in less than 8 min. Effluents from the IC column were delivered to the nebulizer of ICP-MS for the determination of arsenic. The concentrations of arsenic species have been determined in several used and fresh vegetable oil samples. In this study, a microwave-assisted extraction method was used for the extraction of arsenic species from oil samples. The extraction efficiency was better than 92% and the recoveries from spiked samples were in the range of 90-105%. The precision between sample replicates was better than 8% for all determinations. The limits of detection were in the range of 0.008-0.024 ng mL(-1) for various arsenic species based on peak height, which corresponded to 0.08-0.24 ng g(-1) in the original oil sample. The major arsenic species in the used oil samples varied based on the food items cooked.     

Ion-specific hydration effects: Extending the Poisson-Boltzmann theory

In aqueous solutions, dissolved ions interact strongly with the surrounding water and surfaces, thereby modifying solution properties in an ion-specific manner. These ion-hydration interactions can be accounted for theoretically on a mean-field level by including phenomenological terms in the free energy that correspond to the most dominant ion-specific interactions. Minimizing this free energy leads to modified Poisson-Boltzmann equations with appropriate boundary conditions. Here, we review how this strategy has been used to predict some of the ways ion-specific effects can modify the forces acting within and between charged interfaces immersed in salt solutions.     

Study on application of random walk method to calculate water exchange in large-scale bay

The water exchange matrix is an efficient tool to study the water exchange among the sub-areas in large-scale bays. The application of the random walk method to calculate the water exchange matrix is studied. Compared with the advection-diffusion model, the random walk model is more flexible to calculate the water exchange matrix. The forecast matrix suggested by Thompson et al. is used to evaluate the water exchange characteristics among the sub-areas fast. According to the theoretic analysis, it is found that the precision of the predicted results is mainly affected by three factors, namely, the particle number, the generated time of the forecast matrix, and the number of the sub-areas. The impact of the above factors is analyzed based on the results of a series of numerical tests. The results show that the precision of the forecast matrix increases with the increase of the generated time of the forecast matrix and the number of the particles. If there are enough particles in each sub-area, the precision of the forecast matrix will increase with the number of the sub-areas. Moreover, if the particles in each sub-area are not enough, the excessive number of the sub-areas can result in the decrease of the precision of the forecast matrix.     

Algorithms for Pareto optimal exchange with bounded exchange cycles

We consider exchange markets with single-unit endowments and demands where there is a bound on the size of the exchange cycles. The computational problem we study is that of computing a Pareto optimal and individually rational allocation. We present polynomial-time algorithms to compute a Pareto optimal and individually rational allocation when preferences are strict, the exchange bound is two, or when Pareto optimality is replaced with weak Pareto optimality.