Myoglobin Detection: Utilizing Functional Magnetic Hybrid and Silica Micro Particles and Simple Molding Based Micro Channel Fabrication

A magnetic separator attached in a zig zag flow channel assembly has been fabricated to detect myoglobin on the micro particles. An anti‐myoglobin conjugated magnetic hybrid and myoglobin conjugated silica micro particles were prepared and used for myoglobin detection on channel. For the detections, the competitive assay principle was followed based on affinity interaction of anti‐myoglobin‐myoglobin. The caliberation curve was plotted based on the deposit percentage of myoglobin conjugated silica micro particles. The calibration curve of the myoglobin showed the linear range between 1 × 10^?8 ‐ 5 × 10^?11 (M) (R² = 0.9944). The minimum detectable concentration was 300 pg/mL. Hence all that concludes that, the application of zig zag flow channel with magnetic separator has offered new, simple and rapid approach for detecting myoglobin in whole blood samples with in 30 min.     

One‐Pot Synthesis of 13‐Acetyl‐9‐methyl‐11‐oxo(or thioxo)‐8‐oxa‐10,12‐diazatricyclo[7.3.1.02,7]trideca‐2,4,6‐trienes under Microwave Irradiation

Oxygen‐bridged monastrol analogs, 13‐acetyl‐9‐methyl‐11‐oxo(or thioxo)‐8‐oxa‐10,12‐diazatricyclo[7.3. 1.0^2,7]trideca‐2,4,6‐trienes, were synthesized by one‐pot three component condensation reaction of substituted salicylaldehyde, acetylacetone and urea or thiourea with nontoxic, inexpensive, and easily available NaHSO₄ as catalyst under microwave irradiation and solvent‐free conditions in short time with good yields. The structures of the products were characterized by IR, ¹H NMR, ¹³C NMR spectra, and elemental analyses.     

Fabrication and characterization of electrospun silk fibroin/TiO2 nanofibrous mats for wound dressings

Silk fibroin (SF) nanofibrous mats were fabricated via electrospinning process. These fibers were blended with TiO₂ nanoparticles (TiO₂ NPs). The influence of TiO₂ NPs on the nanofibrous matrices was investigated by scanning electron microscopy (SEM), transmission electron microscopy, energy‐dispersive X‐ray, and thermogravimetric analysis. The SEM images revealed that the average diameter of the SF/TiO₂ fibers was 385 ± 63 nm when the concentration of SF was up to 10% (w/v). Infrared spectra showed that the β‐sheet structure of the silk fibroin increased after acetone treatment. These SF/TiO₂ nanofibrous mats exhibited higher equilibrium water content and water vapor transmission rate than hydrocolloid dressing. The hemocompatibility and cytocompatibility of SF/TiO₂ nanofibrous mats were evaluated by complete blood count, cell attachment, and the spreading of L929 fibroblasts. These SF/TiO₂ nanofibrous mats exhibited antibacterial activity against Escherichia coli under UV irradiation. Thus, these novel nanocomposite mats may be used for biomedical applications such as wound dressing. Copyright © 2011 John Wiley & Sons, Ltd.     

A noise of new type and its application

The purpose of this paper is to introduce a new noise depending on the space parameter and the construction of a space of generalized functional of the new noise. One of the significant applications is to give a concrete answer to the jump finding problem raised in [10] where the first step to the approach has been made. It is noted that the new noise, denoted by P??(u), is quite different from the time derivative ?(t) of a Poisson process P(t).     

Transparent,flexible and solid-state supercapacitors based on room temperature ionic liquid gel

This paper describes a novel strategy to make fully transparent, solid-state and flexible supercapacitors based on room temperature ionic liquid (RTIL) gel and ITO electrodes coated on transparent polymer substrate without a separator, which enables the roll-to-roll technique for fabrication of such supercapacitors as printable devices. This is the first type of transparent electrochemical double layer capacitor (EDLC) based on ionic liquid gel.     

Recursive neural networks prediction of glass transition temperature from monomer structure: an application to acrylic and methacrylic polymers

We propose a new method based on a Recursive Neural Network (RecNN) for predicting polymer properties from their structured molecular representations. RecNN allows for a completely novel approach to QSPR analysis by direct adaptive processing of molecular graphs. This model joins the representational power of structured domains with Neural Network ability to capture underlying complex relationships in the data by a process of training from examples. To this aim, a structured representation was designed for the modelling of polymer structures. The adopted representation can account also for average macromolecule characteristics, such as degree of polymerization, stereoregularity, comonomer distribution. To begin with, this model was applied to the prediction of the glass transition temperature of (meth)acrylic polymers with different degree of main chain tacticity. The results so far obtained indicate that the proposed representation of polymer structure can convey information on both the repeating unit structure and average polymer features. The ability of the proposed RecNN method of treating this structured representation makes this method more general and flexible with respect to standard literature methods. Moreover, the same model can handle at the same time the Tg of polymer samples present in only one tacticity form together with that of polymer with different stereoregularity.