Distribution of surfactant ions near the surface of non-aqueous solution gained by angular resolved X-ray photoelectron spectroscopy

Angular resolved X-ray photoelectron spectroscopy (ARXPS) has been applied to obtain the distribution of chemical elements near the surface of non-aqueous solutions containing surfactants. However, such profiles can only yield a quantitative relation between those constituents near the surface regime of sample. With the knowledge of the molar volumes of surfactant and solvent, we have obtained the molar concentration-depth profiles via the molar fraction-depth profiles that were reconstructed by ARXPS with the help of a generic algorithm. The concentration profiles show detailed distributions of the surfactant ions near the surface, which provide a direct insight into the surface picture of the surfactant solution.

On-line product analysis of pine wood pyrolysis using synchrotron vacuum ultraviolet photoionization mass spectrometry

The pyrolysis process of pine wood, a promising biofuel feedstock, has been studied with tunable synchrotron vacuum ultraviolet photoionization mass spectrometry. The mass spectra at different photon energies and temperatures as well as time-dependent profiles of several selected species during pine wood pyrolysis process were measured. Based on the relative contents of three lignin subunits, the data indicate that pine wood is typical of softwood. As pyrolysis temperature increased from 300 to 700 °C, some more details of pyrolysis chemistry were observed, including the decrease of oxygen content in high molecular weight species, the observation of high molecular weight products from cellulose chain and lignin polymer, and potential pyrolysis mechanisms for some key species. The formation of polycyclic aromatic hydrocarbons (PAHs) was also observed, as well as three series of pyrolysis products derived from PAHs with mass difference of 14 amu. The time-dependent profiles show that the earliest products are formed from lignin, followed by hemicellulose products, and then species from cellulose.

Identifying indoor environmental patterns from bioaerosol material using HPLC

A substantial portion of the atmospheric particle budget is of biological origin (human and animal dander, plant and insect debris, etc.). These bioaerosols can be considered information-rich packets of biochemical data specific to the organism of origin. In this study, bioaerosol samples from various indoor environments were analyzed to create identifiable patterns attributable to a source level of occupation. Air samples were collected from environments representative of human high-traffic- and low-traffic indoor spaces along with direct human skin sampling. In all settings, total suspended particulate matter was collected and the total aerosol protein concentration ranged from 0.03 to 1.2 μg/m³. High performance liquid chromatography was chosen as a standard analysis technique for the examination of aqueous aerosol extracts to distinguish signatures of occupation compared to environmental background. The results of this study suggest that bioaerosol “fingerprinting” is possible with the two test environments being distinguishable at a 97 % confidence interval.

Non-destructive depth profile reconstruction of bio-engineered surfaces by parallel-angle-resolved X-ray photoelectron spectroscopy

In the present, contribution angle-resolved X-ray photoelectron spectroscopy (AR-XPS) was proposed as a useful tool to address the challenge of probing the near-surface region of bio-active sensor surfaces. A model bio-functionalised surface was characterised by parallel AR-XPS and commercially available Thermo Avantage-ARProcess software was used to generate non-destructive concentration depth profiles of protein-functionalised silicon oxide substrates. At each step of the functionalisation procedure, the surface composition, the overlayer thickness, the in-depth organisation and the in-plane homogeneity were evaluated. The critical discussion of the generated profiles highlighted the relevance of the information provided by PAR-XPS technique.

Preconcentration of metal ions using microbacteria

This review (160 refs). covers the current state of the art of microbacteria-based sorbents for preconcentration of metal ions at trace levels. We highlight advantages and major challenges of the techniques and discuss future perspectives of both batch and column-based methods. Particular attention is paid to the preconcentration of metal ions using resin-immobilized microbacteria for solid phase extractions. We also discuss detection methods including UV–vis spectrophotometry, FAAS, ICP-OES and ICP-MS. Analytical figures of merit are compared, and examples are given for the application to a variety of samples including food, beverages, alloys, water, soil, and geological samples.

Classification of olive leaves and pulps according to their cultivar by using protein profiles established by capillary gel electrophoresis

A method to classify olive leaves and pulps according to their cultivar using protein profiles obtained by capillary gel electrophoresis (CGE) has been developed. For this purpose, proteins were extracted using an enzyme-assisted method, which provided higher protein recoveries than other previously described methods. Ten and nine common peaks, for leaf and pulp samples, respectively, were identified in the 12 cultivars studied in this work. In addition, and using linear discriminant analysis of the CGE data, olive leaf and pulp samples belonging to 12 cultivars from different Spanish regions were correctly classified with an excellent resolution among all the categories, which demonstrated that protein profiles were characteristic of each cultivar.

Cryo ultra-low-angle microtomy for XPS-depth profiling of organic coatings

In X-ray photoelectron spectroscopy (XPS) Ar⁺ ion sputtering is usually used for depth profiling. However, for such samples as organic coatings, this is not feasible because of degradation. Also, measurement of a depth profile on a conventionally prepared cross-section is not possible if, for example, sample thickness is below the smallest available measurement spot size of the XPS system. In our approach we used a rotary microtome to cut samples under a shallow tilting angle of 0.5° to obtain an extended cross-section suitable for XPS investigations. We also used liquid nitrogen cooling to ensure an exposed area of higher quality: topography measurements with a novel optical 3D microscope and by atomic force microscopy revealed the linearity of the inclined sections. With our cryo ultra-low-angle microtomy (cryo-ULAM) preparation technique we were able to determine, by XPS, elemental and chemical gradients within a 25 μm thick polyester-based organic coating deposited on steel. The gradients were related to, for example, depletion of the crosslinking agent in the sub-surface region. Complementary reflection electron energy-loss spectroscopy measurements performed on the cryo-ULAM sections also support the findings obtained from the XPS depth profiles.

Enzymatic biosensors based on the use of metal oxide nanoparticles

Over the past decades, various techniques have been developed to obtain materials at a nanoscale level to design biosensors with high sensitivity, selectivity and efficiency. Metal oxide nanoparticles (MONPs) are of particular interests and have received much attention because of their unique physical, chemical and catalytic properties. This review summarizes the progress made in enzymatic biosensors based on the use of MONPs. Synthetic methods, strategies for immobilization, and the functions of MONPs in enzymatic biosensing systems are reviewed and discussed. The article is subdivided into sections on enzymatic biosensors based on (a) zinc oxide nanoparticles, (b) titanium oxide nanoparticles, (c) iron oxide nanoparticles, and (d) other metal oxide nanoparticles. While substantial advances have been made in MONPs-based enzymatic biosensors, their applications to real samples still lie ahead because issues such as reproducibility and sensor stability have to be solved. The article contains 256 references.

Analysis of Overlapped and Noisy Hydrogen/Deuterium Exchange Mass Spectra

Noisy and overlapped mass spectrometry data hinder the sequence coverage that can be obtained from hydrogen deuterium exchange analysis, and places a limit on the complexity of the samples that can be studied by this technique. Advances in instrumentation have addressed these limits, but as the complexity of the biological samples under investigation increases, these problems are re-encountered. Here we describe the use of binomial distribution fitting with asymmetric linear squares regression for calculating the accurate deuterium content for mass envelopes of low signal or that contain significant overlap. The approach is demonstrated with a test data set of HIV Env gp140 wherein inclusion of the new analysis regime resulted in obtaining exchange data for 42 additional peptides, improving the sequence coverage by 11 %. At the same time, the precision of deuterium uptake measurements was improved for nearly every peptide examined. The improved processing algorithms also provide an efficient method for deconvolution of bimodal mass envelopes and EX1 kinetic signatures. All these functions and visualization tools have been implemented in the new version of the freely available software, HX-Express v2.

Structural Analysis of Guanylyl Cyclase-Activating Protein-2 (GCAP-2) Homodimer by Stable Isotope-Labeling, Chemical Cross-Linking, and Mass Spectrometry

The topology of the GCAP-2 homodimer was investigated by chemical cross-linking and high resolution mass spectrometry. Complementary conducted size-exclusion chromatography and analytical ultracentrifugation studies indicated that GCAP-2 forms a homodimer both in the absence and in the presence of Ca²⁺. In-depth MS and MS/MS analysis of the cross-linked products was aided by ¹⁵ ? N-labeled GCAP-2. The use of isotope-labeled protein delivered reliable structural information on the GCAP-2 homodimer, enabling an unambiguous discrimination between cross-links within one monomer (intramolecular) or between two subunits (intermolecular). The limited number of cross-links obtained in the Ca²⁺-bound state allowed us to deduce a defined homodimeric GCAP-2 structure by a docking and molecular dynamics approach. In the Ca²⁺-free state, GCAP-2 is more flexible as indicated by the higher number of cross-links. We consider stable isotope-labeling to be indispensable for deriving reliable structural information from chemical cross-linking data of multi-subunit protein assemblies.

Comparison of the performance of pyridine-functionalized nanoporous silica particles for the extraction of gold(III) from natural samples

We have developed a technique for the solid-phase extraction of gold using various kinds of pyridine-functionalized nanoporous silica prior to its determination in various samples using FAAS. The effects of solution pH, sample and eluent flow rate, sample volume and of potentially interfering ions are compared. The limits of detections vary from 28 to 53?pg?mL^?1. The accuracy and precision are between 99.8% and 98.3?% and 0.7 to 1.6?% (RSD), respectively. The method was successfully applied to several standard reference materials.

Overcoming Selectivity and Sensitivity Issues of Direct Inject Electrospray Mass Spectrometry via DAPNe-NSI-MS

Direct inject electrospray mass spectrometry offers minimal sample preparation and a “shotgun” approach to analyzing samples. However, complex matrix effects often make direct inject an undesirable sample introduction technique, particularly for trace level analytes. Highlighted here is our solution to the pitfalls of direct inject mass spectrometry and other ambient ionization methods with a focus on trace explosives. Direct analyte-probed nanoextraction coupled to nanospray ionization mass spectrometry solves selectivity issues and reduces matrix effects while maintaining minimal sample preparation requirements. With appropriate solvent conditions, most explosive residues can be analyzed with this technique regardless of the nature of the substance (i.e., nitroaromatic, oxidizing salt, or peroxide).

Arsenic speciation in saliva of acute promyelocytic leukemia patients undergoing arsenic trioxide treatment

Arsenic trioxide has been successfully used as a therapeutic in the treatment of acute promyelocytic leukemia (APL). Detailed monitoring of the therapeutic arsenic and its metabolites in various accessible specimens of APL patients can contribute to improving treatment efficacy and minimizing arsenic-induced side effects. This article focuses on the determination of arsenic species in saliva samples from APL patients undergoing arsenic treatment. Saliva samples were collected from nine APL patients over three consecutive days. The patients received 10 mg arsenic trioxide each day via intravenous infusion. The saliva samples were analyzed using high-performance liquid chromatography coupled with inductively coupled plasma mass spectrometry. Monomethylarsonous acid and monomethylmonothioarsonic acid were identified along with arsenite, dimethylarsinic acid, monomethylarsonic acid, and arsenate. Arsenite was the predominant arsenic species, accounting for 71.8 % of total arsenic in the saliva. Following the arsenic infusion each day, the percentage of methylated arsenicals significantly decreased, possibly suggesting that the arsenic methylation process was saturated by the high doses immediately after the arsenic infusion. The temporal profiles of arsenic species in saliva following each arsenic infusion over 3 days have provided information on arsenic exposure, metabolism, and excretion. These results suggest that saliva can be used as an appropriate clinical biomarker for monitoring arsenic species in APL patients.

Optimizing hollow-fiber-based pharmacokinetic assay via chemical stability study to account for inaccurate simulated drug clearance of rifampicin

With increasing multidrug resistance coupled to a poor development pipeline, clinicians are exploring antimicrobial combinations to improve treatment outcomes. In vitro hollow-fiber infection model (HFIM) is employed to simulate human in vivo drug clearance and investigate pharmacodynamic synergism of antibiotics. Our overarching aim was to optimize the HFIM-based pharmacokinetic (PK) assay by using rifampicin and polymyxin B as probe drugs. An ultrapressure liquid chromatography tandem mass spectrometry method was validated for the quantification of rifampicin and polymyxin B components. In vitro profiling studies demonstrated that the experimental PK profiles of polymyxin B monotherapy were well correlated with the human population PK data while monotherapy with rifampicin failed to achieve the expected maximum plasma concentration. Chemical stability studies confirmed polymyxin B was stable in broth at 37 °C up to 12 h while rifampicin was unstable under the same conditions over 12 and 80 h. The calculated mean clearance of rifampicin due to chemical degradation was 0.098 ml/min accounting for 12.2 % of its clinical total clearance (CL?=?0.8 ml/min) based on population PK data. Our novel finding reinforces the importance to optimize HFIM-based PK assay by performing chemical stability study so as to account for potential discrepancy between experimental and population PK profiles of antimicrobial agents.

Exploring microdischarges for portable sensing applications

This paper describes the use of microdischarges as transducing elements in sensors and detectors. Chemical and physical sensing of gases, chemical sensing of liquids, and radiation detection are described. These applications are explored from the perspective of their use in portable microsystems, with emphasis on compactness, power consumption, the ability to operate at or near atmospheric pressure (to reduce pumping challenges), and the ability to operate in an air ambient (to reduce the need for reservoirs of carrier gases). Manufacturing methods and performance results are described for selected examples.

Analysis of complex polymers by multidetector field-flow fractionation

Field-flow fractionation (FFF) is a powerful alternative to column-based polymer fractionation methods such as size-exclusion chromatography (SEC) or interaction chromatography (IC). The most common polymer fractionation method, SEC, has its limitations when polymers with very high molar masses or complex structures must be analysed. Another limitation of all column-based methods is that the samples must be filtered before analysis and shear degradation of large macromolecules may be caused by the stationary phase and/or the column frits. Finally, the separation of very polar polymers may be a challenge because such polymers interact very strongly with the stationary phase, causing irreversible adsorption or other negative effects. This article reviews the latest developments in field-flow fractionation of complex polymers. It is demonstrated that some of the limitations of column-based chromatography can be overcome by FFF. When appropriate, results from column-based fractionations are compared with those from FFF fractionations to highlight the specific merits and challenges of each method. In addition to the fractionations themselves, various detector setups are discussed to show that different polymer distributions require different experimental procedures. Examples are given of the analysis of molar mass distribution, chemical composition, and microstructure. Advanced detector combinations are discussed, most prominently the very recently developed coupling to ¹H NMR. Finally, analysis of polymer nanocomposites by asymmetric flow field-flow fractionation (AF4)–FTIR is presented.

Trends in liquid-phase microextraction, and its application to environmental and biological samples

Liquid phase microextraction (LPME) is a popular technique for sample pretreatment before the trace determination of target compounds from complex matrices, examples being pesticides in environmental and food samples, or drug residuals in biological samples such as blood or urine. LPME is simple, affordable, easy to operate, and highly sensitive. It is a miniaturized implementation of conventional liquid-liquid extraction in which only a few microliters of solvents are used instead of several hundreds of milliliters. This review focuses on newly developed LPME-based techniques, their application to environmental and biological samples, on their limitations, and on future applications.

Desorption Mass Spectrometry for Nonvolatile Compounds Using an Ultrasonic Cutter

In this work, desorption of nonvolatile analytes induced by friction was studied. The nonvolatile compounds deposited on the perfluoroalkoxy substrate were gently touched by an ultrasonic cutter oscillating with a frequency of 40 kHz. The desorbed molecules were ionized by a dielectric barrier discharge (DBD) ion source. Efficient desorption of samples such as drugs, pharmaceuticals, amino acids, and explosives was observed. The limits of detection for these compounds were about 1 ng. Many compounds were detected in their protonated forms without undergoing significant fragmentation. When the DBD was off, no ions for the neutral samples could be detected, meaning that only desorption along with little ionization took place by the present technique.

Multi-element analysis of urine by inductively coupled plasma orthogonal acceleration time-of-flight mass spectrometry

This work shows the analytical potential of inductively coupled plasma orthogonal-acceleration time-of-flight mass spectrometry (ICP-OA-TOF-MS) for rapid, simultaneous, and reliable determination of more than 50 elements at ultra-trace levels in urine. Under optimum instrumental conditions, after a 10-fold sample dilution step, and by using Rh as an internal standard, ICP-OA-TOF-MS also enables the determination of elements whose assay is more diffcult when using conventional quadrupole instruments. This is confirmed by the analysis of commercially available reference urine samples and/or by analytical recoveries study and isotope ratio based determination of accuracies. On the other side, the interference resulting from polyatomic carbon, chlorine, or various sulfur species does not allow the determination of elements such as Cr, Fe, V, Se and As without a mathematical correction.