Increasing throughput and information content for in vitro drug metabolism experiments using ultra-performance liquid chromatography coupled to a quadrupole time-of-flight mass spectrometer

The field of drug metabolism has been revolutionized by liquid chromatography/mass spectrometry (LC/MS) applications with new technologies such as triple quadrupoles, ion traps and time-of-flight (ToF) instrumentation. Over the years, these developments have often relied on the improvements to the mass spectrometer hardware and software, which has allowed users to benefit from lower levels of detection and ease-of-use. One area in which the development pace has been slower is in high-performance liquid chromatography (HPLC). In the case of metabolite identification, where there are many challenges due to the complex nature of the biological matrices and the diversity of the metabolites produced, there is a need to obtain the most accurate data possible. Reactive or toxic metabolites need to be detected and identified as early as possible in the drug discovery process, in order to reduce the very costly attrition of compounds in late-phase development. High-resolution, exact mass measurement plays a very important role in metabolite identification because it allows the elimination of false positives and the determination of non-trivial metabolites in a much faster throughput environment than any other standard current methodology available to this field. By improving the chromatographic resolution, increased peak capacity can be achieved with a reduction in the number of co-eluting species leading to superior separations. The overall enhancement in the chromatographic resolution and peak capacity is transferred into a net reduction in ion suppression leading to an improvement in the MS sensitivity. To investigate this, a number of in vitro samples were analyzed using an ultra-performance liquid chromatography (UPLC) system, with columns packed with porous 1.7 mum particles, coupled to a hybrid quadrupole time-of-flight (ToF) mass spectrometer. This technique showed very clear examples for fundamental gains in sensitivity, chromatographic resolution and speed of analysis, which are all important factors for the demands of today's HTS in discovery.     

Continuous Duality of Limits and Colimits of Topological Abelian Groups

In the category Cgp of convergence groups, the continuous dual Γ _c ( ·) is a left adjoint and takes colimits to limits in Cgp. In general, limits are not taken to colimits. In this paper we show that, if we restrict ourselves to limits of topological groups, then reduced projective limits are carried to inductive limits in Cgp. As a consequence of this we show that the inductive limit in Cgp of locally compact topological groups is reflexive if it is separated.      

Chemical defects in the highly fluorescent conjugated polymer dots

We present strong evidence for the oxidation of conjugated polymers in the formation of conjugated polymer dots (CPdots) using Fourier transform infrared spectroscopy and X-ray photoelectron spectroscopy. Although recent studies show that folding of the polymer chain into a compact 3D structure is involved in the formation of these nanoparticles, the process by which these intrinsically hydrophobic nanoscale particles circumvent aggregation in water is still not well understood. Zeta potential results show that these dots have a negatively charged surface at neutral pH, with a zeta potential and surface charge density of approximately -40 mV and (1.39 - 1.70) × 10(-2) C/m(2), respectively. In addition, quantitative elemental analysis of CPdots indicates that oxygen composes 7-13% of these nanoparticles. The overall results support the presence of chemical defects in forming a hydrophilic surface of CPdots. As a consequence, the charged surface contributes to inhibiting the aggregation of CPdots in water, leading to colloidal stability.     

Raman microscopy for the chemometric analysis of tumor cells

Raman spectroscopy is recognized as a tool for chemometric analysis of biological materials due to the high information content relating to specific physical and chemical qualities of the sample. Thirty cells belonging to two different prostatic cell lines, PNT1A (immortalized normal prostate cell line) and LNCaP (malignant cell line derived from prostate metastases), were mapped using Raman microscopy. A range of spectral preprocessing methods (partial least-squares discriminant analyses (PLSDAs), principal component analyses (PCAs), and adjacent band ratios (ABRs)) were compared for input into linear discriminant analysis to model and classify the two cell lines. PLSDA and ABR were able to correctly classify 100% of cells into benign and malignant groups, while PLSDA correctly classified a greater proportion of individual spectra. PCA was used to image the distribution of various biochemicals inside each cell and confirm differences in composition/distribution between benign and malignant cell lines. This study has demonstrated that PLSDAs and ABRs of Raman data can identify subtle differences between benign and malignant prostatic cells in vitro.     

On the number of types of finite dimensional Hopf algebras

For an odd prime p we construct an infinite class of non-isomorphic Hopf algebras of dimension p ⁴ over an infinite field containing primitive p-th roots of unity, answering in the negative a long standing conjecture of Kaplansky. Oblatum 6-XI-1997 / Published online: 12 November 1998     

The discovery of 3-(1-aminoethylidene)quinoline-2, 4(1H,3H)-dione derivatives as novel PSII electron transport inhibitors

Based on the structures of the 4-hydroxyphenylpyruvate dioxygenase inhibitor mesotrione and natural product fischerellin A, a series of imine derivatives of ( $E$ )-3-acyl-quinoline-2,4(1H,3H)-dione (6, 12 and 16) were designed, synthesized and systematically evaluated for their herbicidal activity. The bioassay results indicated that most of the synthesized compounds displayed good to excellent herbicidal activity, of which 6e, 6g, 6h, 6q and 6t exhibited more than 50 % inhibition against Brassica napus L., Amaranthus retroflexu or Digitaria adscendens at a dosage of $94\,\hbox {g}\,\hbox {ha}^{-1}$ or lower. The symptom of injured leaves in vivo, the high Hill reaction inhibitory activity of 6h in vitro ( $\hbox {IC}_{50}\,0.1\, \upmu \hbox {g}\,\hbox {mL}^{-1})$ and the computer-based binding model of compound 6h with D1 protein in photosystem II (PSII) reaction centre suggest this novel structure to likely be a new type of PSII electron transport inhibitor. Thus, we have found a novel type of diketone enamine structure targeted at the PSII reaction centre.     

Optimising reproducibility in low quality signals without smoothing; an alternative paradigm for signal processing

Raman spectroscopy has been revolutionised in recent decades by major technological advances such as lasers, charge‐coupled detectors (CCD) and notch/edge filters. In contrast the development of signal processing algorithms has progressed at a slower pace. Spectroscopic applications increasingly focus on ‘real‐world’ applications that are not under highly controlled conditions and with more stringent limitations placed on acquisition conditions (e.g. low power for in vivo and explosives analysis). Often it is necessary to work with signals of a quality traditionally considered poor. In this study an alternative paradigm for signal processing poor quality signals is presented and rigorously assessed. Instead of estimating the background on the individual signals it is estimated on the results of a multivariate analysis. Under this paradigm prediction reproducibility is unaffected by the signal processing, unlike the traditional paradigm of correcting individual signals which induces errors that propagate through to the prediction. The paradigms were tested on a ‘real‐world’ dataset to predict the concentration of a pathologically relevant protein modification, carboxymethyl lysine (CML). Use of the new paradigm allowed signals with a signal to noise ratio (SNR) of 2.4 to give a prediction with variance just 8.7% of the mean, with the traditional paradigm giving a variance of over 140% of the mean. Significant improvement in reproducibility could even be observed with signals as good as SNR 85. The ability to obtain reproducible predictions from low quality signals allows shorter acquisition (e.g. mapping or on‐line analysis), use of low powers (in vivo diagnostics, hazardous materials analysis (HAZMAT)) or use of cheaper equipment. Copyright © 2011 John Wiley & Sons, Ltd.     

Nanoparticle adsorption and stabilisation of surfactant-free emulsions

The formation of particle-stabilised emulsions by adding partially hydrophobised silica particles to surfactant-free oil-in-water emulsions (average drop diameter approximately 700 nm) stabilised by hydroxide ions adsorbed at the oil-water interface has been investigated. Nanoparticles (average particle diameter 18 nm) adsorbed onto the drops under alkaline conditions to produce particle-stabilised emulsions with the same drop size distribution as the surfactant-free emulsions. Unlike the surfactant-free emulsions, the particle-stabilised emulsions were stable even in acidic conditions. Strongly flocculated nanoparticles (average particle diameter 150 nm) adsorbed onto the drop surfaces under acidic conditions where the emulsions were destabilised, forming coarser particle-stabilised emulsions with micron-sized drops.     

From the Bench to the Field in Low‐Cost Diagnostics: Two Case Studies

Despite the growth of research in universities on point‐of‐care (POC) diagnostics for global health, most devices never leave the laboratory. The processes that move diagnostic technology from the laboratory to the field—the processes intended to evaluate operation and performance under realistic conditions—are more complicated than they might seem. Two case studies illustrate this process: the development of a paper‐based device to measure liver function, and the development of a device to identify sickle cell disease based on aqueous multiphase systems (AMPS) and differences in the densities of normal and sickled cells. Details of developing these devices provide strategies for forming partnerships, prototyping devices, designing studies, and evaluating POC diagnostics. Technical and procedural lessons drawn from these experiences may be useful to those designing diagnostic tests for developing countries, and more generally, technologies for use in resource‐limited environments.     

The oscillographic polarography of noble metal complexes

The polarographic behaviour of complexes of the noble metals was studied by oscillographic polarography. A method was developed for the polarographic determination of copper, gold and palladium; silver and nickel do not interfere. Applications to the analysis of dental alloys proved successful.