Novel Method of Producing Polymer Gels in Aqueous Solution Using UV Irradiation

Summary: We developed a novel method of producing polymer gels in aqueous solution using UV irradiation. Persulfates were effective photosensitive initiators of polymerization and/or gelation of acryloyl‐type monomers/polymers. The gelation was confirmed by an abrupt increase in light scattering intensity, 〈I(q)〉_T, at the gelation point. The gelation method entails significant advantages: it does not need any cross‐linkers, temperature control (heating), and additives except the persulfate.

The UV irradiation time dependence of light scattering intensity, 〈I(q)〉_T, for pre‐gel solutions containing N‐isopropylacrylamide (NIPAm) and/or ammonium persulfate (APS).     

Magnetic properties of monodispersed Ni/NiO core-shell nanoparticles

We have recently developed a method to fabricate monodispersed Ni/NiO core-shell nanoparticles by pulsed laser ablation. In this report, the size-dependent magnetic properties of monodispersed Ni/NiO core-shell nanoparticles were investigated. These nanoparticles were formed in two steps. The first was to fabricate a series of monodispersed Ni nanoparticles of 5 to 20 nm in diameter using a combination of laser ablation and size classification by a low-pressure differential mobility analyzer (DMA). The second step was to oxidize the surfaces of the Ni particles in situ to form core-shell structures. A superconducting quantum interference device (SQUID) magnetometer was used to measure the magnetic properties of nanostructured films prepared by depositing the nanoparticles at room temperature. Ferromagnetism was observed in the magnetic hysteresis loop of the nanostructured films composed of core-shell nanoparticles with core diameters smaller than the superparamagnetic limit, which suggests the spin of Ni core was weakly exchange coupled with antiferromagnetic NiO shell. In contrast, smaller nanoparticles with core diameters of 3.0 nm exhibited superparamagnetism. The drastic change in the hysteresis loops between field-deposited and zero-field-deposited samples was attributable to the strong anisotropy that developed during the magnetic-field-assisted nanostructuring process.     

Determination of matrine in rat plasma by high-performance liquid chromatography and its application to pharmacokinetic studies

A simple high-performance liquid chromatography (HPLC) method is described for the determination of matrine in rat plasma. The plasma was deproteinized with acetonitrile that contained an internal standard (phenacetin) and was separated from the aqueous layer by adding sodium chloride. Matrine was extracted into the acetonitrile layer with high yield, and determined by reversed-phase HPLC (column: YMC-pack ODS-A, 5 μm, 150×4.6 mm, I.D.; eluent: acetonitrile-0.02 mol ammonium acetate buffer-triethylamine (35:65:0.035, v/v/v) and ultraviolet detection (220 nm). The limit of quantitation for matrine was 200 ng ml⁻¹ in plasma, and the recovery was greater than 89%. The assay was linear from 0.5 to 50.0 μg ml⁻¹. Variation over the range of the standard curve was less than 6%. The method was used to determine the concentration-time profiles of matrine in the plasma following oral administration of matrine aqueous solution or bolus injection from which the fractions of matrine reaching the systemic circulation were estimated by a deconvolution method for the first time.     

Rheological properties of reversible thermo-setting in situ gelling solutions with the methylcellulose–polyethylene glycol–citric acid ternary system (2): Effects of various water-soluble polymers and salts on the gelling temperature

The influences of various salts and water-soluble polymers on the phase transition temperature of thermo-setting gels prepared by combining methylcellulose (MC)–sodium citrate (SC)–polyethylene glycol (PEG) at appropriate ratios (the MC–SC–PEG system) were investigated. Concerning cations, comparison of the phase transition temperature between SC and tripotassium citrate (PC) showed a rapid increase in the viscosity of SC between 20 °C and 25 °C and an increase in the viscosity of PC between 30 °C and 35 °C. Concerning the valency of anions, comparisons among SC, disodium tartrate dihydrate (ST), disodium maleate hemihydrates (SM), and sodium sulfate (SS) showed a rapid increase in the viscosity of trivalent SC between 20 °C and 25 °C and changes in the viscosity of the three bivalent sodium salts (ST, SM, and SS) at ≥30 °C. Thus the phase transition temperature decreased with an increase in the valency of anions.Subsequently, the influences of various water-soluble polymers on the gelling temperature were compared. Using polyvinylpyrrolidone (PVP) instead of PEG, the gelling temperature decreased with an increase in the PVP concentration even without the addition of SC. Unlike PVP, the addition of xanthan gum as a viscosity-increasing polysaccharide did not reduce the gelling temperature irrespective of its concentration.Temperature-associated changes in viscosity were observed at a fixed SC concentration with changes in the concentration of PVP or PEG. The gel phase transition temperature increased from 46 °C to 50 °C in gels not containing PVP or PEG. The viscosity did not differ between the addition of PVP or PEG at a low concentration and its absence. However, the viscosity clearly changed after the addition of each agent at a high concentration.     

Total synthesis and stereochemistry of pinnatoxins B and C

[Structure: see text] Pinnatoxins B and C were synthesized from diols (34R)-3b and (34S)-3a, respectively, in a stereochemically controlled manner. Through extensive analysis of the 1H NMR spectra of synthetic PnTXs B and C, the diagnostic NMR signals were first identified to differentiate (34S)- and (34R)-diastereomers and then used to establish the C34 configuration of natural PnTXs B and C as 34S and 34R, respectively.     

The variational theory and rate equation method with applications to relaxation near the instability point

The variational principle of Glansdorff and Prigogine is formulated for stochastic processes and the relation between this method and the rate equation method is discussed in a certain frame-work of variational functions. An application is given to the Fokker-Planck equation to describe the formation process of macroscopic order and to obtain the onset time.     

Automated extraction of information from the literature on chemical-CYP3A4 interactions

A text mining system is presented for automatically extracting information from the literature on chemical-CYP3A4 interactions (i.e., substrate, induction, inhibition). The system identifies chemicals and CYP3A4 forms according to a combination of name dictionaries and context features. In addition, it transforms sentences into multiple simple clauses each containing a single event and extracts information on chemical-CYP3A4 interactions using a simple but effective pattern matching method based on the order of three keywords (chemicals, CYP3A4, key verbs). Using this system, 2990 relations including 2700 identified interactions with CYP3A4 for 600 chemicals were extracted from a corpus of 2900 PubMed abstracts. In an evaluation test using 100 randomly selected abstracts, it achieved 87.4% recall and 92.3% precision for identification of the chemical name and 85.2% recall and 92.0% precision for the extraction of chemical-CYP3A4 interactions, respectively. This system will be applicable to interactions of chemicals with any functional proteins, such as enzymes and transporters, simply by changing the list of key verbs.     

Automated information extraction and structure-activity relationship analysis of cytochrome P450 substrates

Information on CYP-chemical interactions was comprehensively explored by a text-mining technique, to confirm our previous structure-activity relationship model for CYP substrates (Yamashita et al. J. Chem. Inf. Model. 2008, 48, 364-369). The text-mining technique is based on natural language processing and can extract chemical names and their interaction patterns according to sentence context. After chemicals were automatically extracted and classified into CYP substrates, inhibitors, and inducers, 709 substrates were retrieved from the PubChem database and categorized as 216, 145, 136, 217, 156, and 379 substrates for CYP1A2, CYP2C9, CYP2C19, CYP2D6, CYP2E1, and CYP3A4, respectively. Although the previous classification model was developed using data from only 161 compounds, the model classified the substrates found by text-mining analysis with reasonable accuracy. This confirmed the validity of both the multi-objective classification model for CYP substrates and the text-mining procedure.