Study of the polymer interaction with a surface by entropic sampling

By means of a variant of the Monte Carlo method (entropic sampling within the Wang-Landau algorithm) the models of the interaction of a neutral polymer with a flat surface are studied. The method yields distribution functions over the energy and the distance from the polymer to the surface. Based on these distributions, excess entropies of the systems and their thermal properties are calculated: internal energy, heat capacity, average radius of gyration, average chain end-to-end distance, and average distance from the polymer to the surface. Continuous and lattice models are considered.     

Polymer crystallization: Simulation with entropic barrier model and application to specific polymers

The growth of polymer single crystals has been simulated on the basis of a simple two-dimensional ‘entropic barrier’ model. The chain is described by a sequence of growth units. Their additions and removals are determined by rate constants obeying detailed balance. The crystallization is then simulated by a kinetic Monte Carlo algorithm. An application of the model to specific crystallizable polymers (polyethylene, isotactic polystyrene, isotactic polypropylene, polyhydroxybuterate and polypivalolactone) is presented. Input parameter values for the model are derived from the respective surface free energies, bulk enthalpies, melting points and crystallographic repeat lengths. The only free parameter is the length of a polymer growth unit. This is set to half the lamellar crystal thickness at large undercooling. The lamellar thicknesses calculated on this basis are in good agreement with experimental data. An analysis of the growth unit lengths of the different polymers indicates a scaling with the chain persistence length in the melt.     

Membrane based gas sampling and analysis coupled to continuous flow systems

Summary A detection system suitable for monitoring of gaseous pollutants is described. It consists of a membrane-based sampling unit which is integral part of continuous flow or flow injection systems. Collection of the gaseous contaminants takes place by diffusive sampling under laminar flow conditions. Two geometrically different sampling devices (i.e. tubular and planar arrangements) are presented and the influence of experimental variables on collection and detection capabilities is discussed. The concept is shown to be used with numerous detection schemes. The field of application reaches from the determination of trace constituents in the atmosphere to the use in emission control.     

Magnetic Fe3O4 nanoparticles coupled with a fluorescent Eu complex for dual imaging applications

Magnetic 8 nm Fe(3)O(4) nanoparticles (NPs) were synthesized and modified with dopamine (DPA) and polyethylene glycol (PEG) diacid. The water soluble Fe(3)O(4)-DPA-PEG NPs were then conjugated with the fluorescent Eu(iii) complex of tris(dibenzoylmethane)-5-amino-1,10-phenanthroline (BMAP), giving an Fe(3)O(4)-DPA-PEG-BMAP-Eu NP conjugate. The conjugate was both colloidally and chemically stable in phosphate buffered solutions and could be used as a probe for magnetic resonance and fluorescent imaging.     

Capacitively coupled contactless conductivity detection with dual top–bottom cell configuration for microchip electrophoresis

An optimized capacitively coupled contactless conductivity detector for microchip electophoresis is presented. The detector consists of a pair of top–bottom excitation electrodes and a pair of pickup electrodes disposed onto a very thin plastic microfluidic chip. The detection cell formed by the electrodes is completely encased and shielded in a metal housing. These approaches allow for the enhancement of signal coupling and extraction from the detection cell that result in an improved signal‐to‐noise‐ratio and detection sensitivity. The improved detector performance is illustrated by the electrophoretic separation of six cations (NH, K⁺, Ca²⁺, Na⁺, Mg²⁺, Li⁺) with a detection limit of approximately 0.3 μM and the analysis of the anions (Br^?, Cl^?, NO, NO, SO, F^?) with a detection limit of about 0.15 μM. These LODs are significantly improved compared with previous reports using the conventional top–top electrode geometry. The developed system was applied to the analysis of ions in bottled drinking water samples.     

A preliminary study of plant aroma profile characteristics by a combination sampling method coupled with GC-MS

Plant aroma profile characteristic is an important bio-information. In this study, a sampling method in combination with headspace solid phase microextraction (HSSPME), simultaneous distillation extraction (SDE) and steam distillation (SD), followed by gas chromatography-mass spectrometry (GC-MS) detection, was used to study the aroma profile characteristics of the fresh and stale samples of common tomato, cherry tomato, durian and longan, and of the different samples of Chinese mango and Allium varieties. The typical aroma volatiles of these samples were isolated and identified according to the different degrees of certainty. The different samples showed different aroma profile characteristics when principal component analysis (PCA) was conducted to analyze the data of the aroma profile chromatograms. Then the crucial aroma volatiles contributing greatly to the clustering differences of the aroma profile characteristics of the fresh and stale common tomato, cherry tomato, durian and longan were identified by common model strategy. These compounds are potential bio-markers of plant metabolism, but further study is needed. Continuous investigations for the aroma profile characteristics of common tomato during storage and chive during growth were conducted to distill the potential bio-information from the plant metabolism processes. The saturated hexanal of common tomato increased during storage, whereas the unsaturated hexenal reduced. The accumulating trends of volatile sulfides were observed during chive growth. The preliminary results related with the corresponding bio-information could provide helpful clues to the study of plant's secondary metabolism process and benefit quality control.     

Efficient calculation of temperature dependence of solid-phase free energies by overlap sampling coupled with harmonically targeted perturbation

We examine a method for computing the change in free energy with temperature of a crystalline solid. In the method, the free-energy difference between nearby temperatures is calculated via overlap-sampling free-energy perturbation with Bennett's optimization. Coupled to this is a harmonically targeted perturbation that displaces the atoms in a manner consistent with the temperature change, such that for a harmonic system, the free-energy difference would be recovered with no error. A series of such perturbations can be assembled to bridge larger gaps in temperature. We test this harmonically targeted temperature perturbation (HTTP) method through the application to the inverse-power soft potential, u(r)=ε(σ/r)(n), over a range of temperatures up to the melting condition. Three exponent values (n=12, 9, and 6) for the potential are studied with different crystal structures, specifically face-centered cubic (fcc), body-centered cubic (bcc), and hexagonal close packing. Absolute free energies (classical only) for each system are obtained by implementing the series to near-zero temperature, where the harmonic model becomes very accurate. The HTTP method is shown to provide very precise results, with errors in the free energy smaller than two parts in 10(5). An analysis of the thermodynamic stability of the various structures in the infinite-system limit confirms previous findings. In particular, for n=12 and 9, the fcc structure is stable for all temperatures up to melting, and for n=6, the bcc crystal becomes stable relative to fcc for temperatures above kT/ε=0.802±0.001. The effects of vacancies and other defects are not considered in the analysis.     

Simultaneous sampling and analysis for vapor mercury in ambient air using needle trap coupled with gas chromatography-mass spectrometry

A needle trap (NT) technique for simultaneous sampling and analysis of vapor and particle mercury in ambient air using gold wire filled in a syringe needle has been developed. This NT technique relies on gold amalgamation rather than adsorption/absorption to traditional solid-phase microextraction. Hg trapped by Au-amalgamation NT is thermally desorbed in a hot injection port of a gas chromatograph; desorbed Hg is then determined by the coupled mass spectrometer. This simultaneous sampling and analysis technique were optimized, tested, and used for the collection and accurate determination of elemental Hg in ambient air. Linear calibration curves were obtained for Hg sampling by NT when mass spectrometry (MS) was used for detection; they spanned over 4 orders of magnitude. MS offered excellent sensitivity and selectivity. Selected ion monitor (SIM) mode was used for the linear calibration curves. The selected quantitation ion was m/z 202, since m/z 202 was the strongest isotope of mercury mass spectrum. The method was verified with HgCl(2) spiked solution samples. An excellent agreement was found between the results obtained for the Hg-saturated air samples and HgCl(2) spiked solution samples. The use of the Au-amalgamation gas-sampling needle trap method, for the measurement of Hg in air and Hg(2+) water samples, is described herein.     

Process sampling module coupled with purge and trap-GC-FID for in situ auto-monitoring of volatile organic compounds in wastewater

An automatic sampling device, i.e., process sampling module (PSM), connected with a purge and trap-GC-FID system has been developed for real-time monitoring of VOCs in wastewater. The system was designed to simultaneously monitor 17 compounds, including one polar compound, i.e., acetone, and 16 non-polar compounds. The trapping tube is packed with two adsorbents, Carbopack B and Carbosieve III, to trap target compounds. For the purpose of in situ monitoring, the flush valve of the sampling tube is composed of two two-way valves and a time controller to prevent absorption interference of the residue. The optimal conditions for the analytical system include a 12 min purge time at a temperature of 60 °C, and 4 min of desorption time with a desorption temperature of 260 °C. Good chromatograms have been obtained with the analytical system even if a cryogenic device and de-misting were not used. The relative standards deviation (RSD) of the system is between 2% and 13.4%, and accuracies between 0.3 and 23.5% have been achieved. The detection limits of the method range from 0.32 to 2.39 ppb. In this system, the four parts, i.e., PSM, P&T, GC, and FID, were simple, reliable and rugged. Also, the interface of these four parts was simple and dependable.     

A smart adhesive joint: entropic control of adhesion at a polymer/metal interface

The study of adhesion has a long and rich history, with theory, experiments, and applications bridging numerous disciplines, including physics, chemistry, engineering, and medicine. This diverse interest has led to the development of a large number of methods for both enhancing and inhibiting adhesion at specific interfaces of interest. We report herein "smart" adhesion at a polymer/metal (oxide) interface that responds reversibly to changes in temperature by increasing or decreasing in magnitude. The temperature dependence in this system arises from the rubber elasticity of the polymer, 1,4-polybutadiene, and mirrors the interfacial behavior of the same polymer against water. Such systems offer unique opportunities for designing responsive materials whose properties can be actively controlled.     

Speciation of inorganic arsenic in a sequential injection dual mini-column system coupled with hydride generation atomic fluorescence spectrometry

The separation and speciation of inorganic arsenic(III) and arsenic(V) are facilitated by employing a novel sequential injection system incorporating two mini-columns followed by detection with hydride generation atomic fluorescence spectrometry. An octadecyl immobilized silica mini-column is used for selective retention of the complex between As(III) and APDC, while the sorption of As(V) is readily accomplished by a 717 anion exchange resin mini-column. The retained As(III)-PDC complex and As(V) are effectively eluted with a 3.0 mol L⁻¹ hydrochloric acid solution as stripping reagent, which well facilitates the ensuing hydride generation process via reaction with tetrahydroborate. With a sampling volume of 1.0 mL and an eluent volume of 100 μL for both species, linear ranges of 0.05-1.5 μg L⁻¹ for As(III) and 0.1-1.5 μg L⁻¹ for As(V) are obtained, along with enrichment factors of 7.0 and 8.2, respectively. Precisions of 2.8% for As(III) and 2.9% for As(V) are derived at the concentration level of 1.0 μg L⁻¹. The practical applicability of the procedure has been demonstrated by analyzing a certified reference material of riverine water (SLRS-4), in addition to spiking recovery in a lake water sample matrix.     

In vivo sampling using loop microdialysis probes coupled to a liquid chromatograph.

Microdialysis probes with longer membranes (20-100 mm) provide increased relative recovery over traditional shorter probes (1-4 mm) developed for neuroscience applications. The characterization and optimization of "straight through" or "loop type" probes for use in subcutaneous tissue are considered. Membrane area, probe size, inlet and outlet tubing dimensions, and flow-rate are examined for their effects on relative recovery, the total collection rate, and bulk flow through the membrane wall. Polyacrylonitrile and regenerated cellulose membrane fibers with different geometries were compared. Sampling probes used fibers 3-10 cm long. Inlet and outlet tubing was varied from 25 to 110 microns I.D. with lengths of 10 to 50 cm. Probe configurations optimized for relative recovery, flow-rate, and utility for in vivo use are presented. Utilizing microdialysis probes with large membrane surface areas results in relative concentration recovery of greater than 50% at flow-rates of greater than 5 microliters/min. Therapeutic drug monitoring in subcutaneous tissue of awake animals is explored.     

Optically specific detection of D- and L-lactic acids by a flow-injection dual biosensor system with on-line microdialysis sampling.

A flow-injection dual biosensor system with microdialysis sampling is proposed for the simultaneous determination of D-lactic and L-lactic acids. The dialysate from the microdialysis tube is delivered to a sample loop of the six-way autoinjector and then automatically injected into the flow-injection line with a dual enzyme electrode arranged in perpendicular to the flow direction. The dual enzyme electrode is constructed by hybridizing a poly(1,2-diaminobenzene) film into two sensing parts which respond selectively to D-lactic and L-lactic acids, respectively, without any cross-reactivity. The proposed flow-injection analysis method can be successfully applied to the simultaneous determination of D,L-lactic acids in alcoholic beverages.     

Overcoming barriers in trajectory space: mechanism and kinetics of rare events via Wang-Landau enhanced transition path sampling

Within the framework of transition path sampling (TPS), activation energies can be computed as path ensemble averages without a priori information about the reaction mechanism [C. Dellago and P. G. Bolhuis, Mol. Simul. 30, 795 (2004)]. Activation energies computed for different conditions can then be used to determine by numerical integration the rate constant for a system of interest from the rate constant known for a reference system. However, in systems with complex potential energy surfaces, multiple reaction pathways may exist making ergodic sampling of trajectory space difficult. Here, we present a combination of TPS with the Wang-Landau (WL) flat-histogram algorithm for an efficient sampling of the transition path ensemble. This method, denoted by WL-TPS, has the advantage that from one single simulation, activation energies at different temperatures can be determined even for systems with multiple reaction mechanisms. The proposed methodology for rate constant calculations does not require the knowledge of the reaction coordinate and is generally applicable to Arrhenius and non-Arrhenius processes. We illustrate the applicability of this technique by studying a two-dimensional toy system consisting of a triatomic molecule immersed in a fluid of repulsive soft disks. We also provide an expression for the calculation of activation volumes from path averages such that the pressure dependence of the rate constant can be obtained by numerical integration.     

Investigation of uranium-colloid interactions in soil by dual field-flow fractionation/capillary electrophoresis hyphenated with inductively coupled plasma-mass spectrometry

This paper deals with the study of uranium-colloid interactions in a carbonated soil. The work is focused on the immediately available fraction obtained after a leaching process, according to a normalized batch method. In order to characterize the different colloidal carriers, Asymmetrical Flow Field-Flow Fractionation (As-Fl-FFF) coupled to different detectors (UV, Multi Angle Laser Light Scattering (MALLS) and Inductively coupled Plasma-Mass Spectrometry (ICP-MS)) was used. The colloidal carriers are mainly inorganic particles (carbonated particles and clays) mixed with organic substances. Furthermore, dissolved and colloidal uranium species in the leaching solutions were monitored by Capillary Electrophoresis (CE) coupled to ICP-MS, in order to investigate the uranium/colloids interactions. According to the first results, uranium fate in this specific soil is controlled by sorption/desorption phenomena, strongly pH dependent.     

Automated on-line microdialysis sampling coupled with high-performance liquid chromatography for simultaneous determination of malondialdehyde and ofloxacin in whole blood

We have developed a system that couples an on-line microdialysis (MD) system with flow injection high-performance liquid chromatography (HPLC)-fluorescence detection for simultaneous measurement of the concentrations of malondialdehyde (MDA) and ofloxacin (OFL) in whole blood samples. The sample matrix was first cleaned with an MD system using an MD probe. A continuously flowing dialysate stream was derivatized on-line and auto-injected into a separation column. MDA and OFL were separated through a reverse-phase C18 column (250 mm × 4.6 mm) at a flow rate of 0.8 mL min⁻¹ and then detected using a fluorescence detector (excitation: 532 nm; emission: 553 nm); the system's components were connected on-line using a valve control. Validation experiments demonstrated good linearity, precision, accuracy, and recovery. The precisions for the determinations of MDA and OFL, measured in terms of relative standard deviations, were 6.5% and 4.6%, respectively, for intra-day assays and 7.5% and 8.7%, respectively, for inter-day assays. The average recoveries of MDA and OFL spiked in plasma were each close to 100%. The use of this on-line MD-HPLC system permitted continuous monitoring of MDA and OFL in OFL-treated whole blood subjected to UV-A irradiation. Based on our results, the UV-A irradiation markedly increased the level of MDA in the OFL-treated whole blood.     

Electrothermal vaporization in inductively coupled plasma atomic emission spectrometry for direct multielement analysis of food samples with slurry sampling

Slurry sampling followed by electrothermal vaporization (ETV) was used as sample introduction technique in inductively coupled plasma atomic emission spectrometry (ICP-AES) for the direct determination of trace elements in food samples. A polytetrafluoroethylene (PTFE) emulsion was used as a fluorinating reagent to promote vaporization and the transportation of analytes. The main factors affecting the analytical signals were investigated in detail. Under optimum operating conditions, the detection limits (DL) for this method varied from 1.8 (Cu) to 215 ng/mL (Zn), while the relative standard deviations (RSD) were in the range 2.6% (Cu)-7.2% (Zn). The proposed method was successfully applied to the direct determination of trace amounts of V, Cu, Cr, Fe, Zn, and La in rice without any chemical pretreatment. The precision was evaluated by analyzing a standard reference material (tea leaves, GBW 07605) and comparing the results from this method with results obtained by pneumatic nebulization (PN) ICP-AES after the wet-chemical decomposition of the same sample.From Zhurnal Analiticheskoi Khimii, Vol. 60, No. 3, 2005, pp. 286–290.Original English Text Copyright © 2005 by Chen.This article was submitted by the author in English.