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Simple and robust high-performance liquid chromatographic method for the determination of ranitidine in microvolumes of human serum.

A simple robust high-performance liquid chromatographic method is described for the determination of ranitidine in microvolumes of human serum. The drug of interest was isolated using liquid-liquid extraction with dichloromethane and back-extraction with 0.1% phosphoric acid and separation was obtained using a reversed-phase column under isocratic conditions, with ultraviolet detection at 313 nm. Intra-day and inter-day coefficients of variation ranged from 1 to 6% and 3 to 10%, respectively. Accuracy of the assay was less than 10% at all concentrations. The limit of detection and the limit of quantitation were 2 and 7 ng/ml, respectively. The linearity was assessed in the range 10-1000 ng/ml. It was shown that a group of common drugs co-administered with ranitidine did not interfere with its determination. The applicability of this method for the pharmacokinetic study of ranitidine following i.v. infusion in patients was demonstrated using only 100 microl of serum. The ruggedness of the assay was demonstrated over a three-year period.

Anti-Ulcer Agents↗

Results of a collaborative study of the EDNAP group regarding the reproducibility and robustness of the Y-chromosome STRs DYS19, DYS389 I and II, DYS390 and DYS393 in a PCR pentaplex format.

A collaborative exercise was carried out by the European DNA Profiling Group (EDNAP) in the frame work of the STADNAP program, i.e. standardization of DNA profiling in Europe, in order to evaluate the performance of a Y-chromosome STR pentaplex, which includes the loci DYS19, DYS389 I and II, DYS390 and DYS393 and to determine whether uniformity of results could be achieved among different European laboratories. Laboratories were asked to analyze the five Y-STRs using singleplex and multiplex conditions in three bloodstains and one mixed stain (95% female and 5% male). All the laboratories reported the same results even for the mixed stain included in the exercise. This demonstrates the reproducibility and robustness of Y-chromosome STR typing even with multiplex formats and proves the usefulness of Y-STR systems for analyzing mixed stains with a male component.A total of 930 male samples from 10 different populations from Europe were also analysed for all the loci included in the pentaplex. Eight of these ten populations also included haplotype data. As for single gene analysis, haplotype diversity was higher in Germany and Italy and lower in Western European countries and Finland. Pairwise haplotype analysis shows the Finnish departure from the rest of the populations and a relatively homogeneity in the other European populations with F(ST) estimates lower than 0.05.UPGMA analysis shows an association of Western European population (Ireland, UK, Portugal and Galicia) on the one hand and central European populations on the other.

Blood Stains↗

A comparison of adjustment methods to test the robustness of an STR DNA database comprised of 24 European populations.

An aim of the European Network of Forensic Science Institutes (ENFSI) is to produce a DNA database of second generation multiplex (SGM) STR profiles that is representative of the resident cosmopolitan populations. To achieve this, data were collected from 24 different populations. All of the data were combined to form one database of 5700 profiles from which allele proportions were calculated. The robustness of this combined European database was tested by estimating parameter d for every DNA profile, where d=log(10)(Pm(c)/Pm(E)) Pm(c) is the match probability of the profile calculated from its cognate database and Pm(E) is the match probability of the combined European database. Overall there was a small tendency for Pm(c)>Pm(E) primarily because of sampling bias. This bias was removed by the simple expediency of applying an adjustment factor to the calculation of Pm(E). These were selected from the Balding size bias correction, the Balding and Nichols Fst correction, a minimum allele proportion (between 0.01 and 0.02), an upper bound of a 95% confidence interval (CI) and a lower bound on the genotype match probability. It was demonstrated that a single European database is a feasible proposition. A combination of different adjustment methods can be used to ensure that the result is conservative relative to the cognate database, and their effect measured by parameter d.

Alleles↗

Minimal gradient encoding for robust estimation of diffusion anisotropy.

This study has investigated the relationship between the noise sensitivity of measurement by magnetic resonance imaging (MRI) of the diffusion tensor (D) of water and the number N of diffusion-weighting (DW) gradient directions, using computer simulations of strongly anisotropic fibers with variable orientation. The DW directions uniformly sampled the diffusion ellipsoid surface. It is shown that the variation of the signal-to-noise ratio (SNR) of three ideally rotationally invariant scalars of D due to variable fiber orientation provides an objective quantitative measure for the diffusion ellipsoid sampling efficiency, which is independent of the SNR value of the baseline signal obtained without DW; the SNR variation decreased asymptotically with increasing N. The minimum number N(0) of DW directions, which minimized the SNR variation of the three scalars of D was determined, thereby achieving the most efficient ellipsoid sampling. The resulting time efficient diffusion tensor imaging (DTI) protocols provide robust estimation of diffusion anisotropy in the presence of noise and can improve the repeatability/reliability of DTI experiments when there is high variability in the orientation of similar anisotropic structures, as for example, in studies which require repeated measurement of one individual, intersubject comparisons or multicenter studies.

Anisotropy↗

Derivation of system suitability test limits from a robustness test on an LC assay with complex antibiotic samples.

A System Suitability Test (SST) is a test to verify the adequate working of the equipment used for analytical measurements. In pharmaceutical analysis, SSTs are performed at least at the beginning of a series of routine analyses. The most generally applied SST considers the precision of the analysis, i.e. the repeatability standard deviation must not exceed a predefined value. Additionally, a SST can also consider responses indicative for the quality of the technique used, e.g. resolutions between peaks or peak asymmetry in high performance liquid chromatography. The system is then only declared suitable if the response is within given limits. However, it is not always evident how to define the SST limits to be fulfilled for a newly developed method. Robustness tests have been proposed as a starting point in a strategy to deduce these limits. Here, it is examined how such a strategy can be applied for complex samples of microbial origin.

Anti-Bacterial Agents↗

Fast separations on monolithic silica columns: method transfer, robustness and column ageing for some case studies.

Six separation methods, developed on conventional silica high performance liquid chromatography (HPLC) columns were transferred to monolithic silica columns of 5 and 10 cm length. The transferred methods include the separation of an alkylbenzene mixture, the separations of drugs from their impurities (nimesulide, tetracycline, phenoxymethylpenicillin and erythromycin) and the separation of a green tea extract. The transfer of the first three methods was successful while for the latter three it was not. Increasing the flow rate up to 9 ml/min (where possible) inversely decreased the analysis time of the successfully transferred methods to 48 s (alkylbenzene mixture) 1.8 min (nimesulide mixture) and 3 min (tetracycline mixture) while still reasonable well separated peaks were obtained. The robustness and repeatability of the transferred and accelerated separations was found to be acceptable. Despite the use of flow rates up to 9 ml/min and frequent mobile phase changes with pH values varying from 3.5 to 7, the column performance was found to be rather constant and the column ageing to be minimal.

Chromatography, High Pressure Liquid↗

Robustness testing in liquid chromatography and capillary electrophoresis.

The definition and objectives of robustness testing are given and the essential features of the methodology which can be applied using a multivariate approach in liquid chromatography and capillary electrophoresis are described. Guidelines are given for the different steps which are involved in using screening and response surface designs. It is shown that screening designs may be sufficient to set the method limits but that response surface designs are of major interest in method transfer because they give a comprehensive picture of the behaviour and limitations of the method.

Chromatography, High Pressure Liquid↗

Nondestructive tablet hardness testing by near-infrared spectroscopy: a new and robust spectral best-fit algorithm.

A new algorithm using common statistics was proposed for nondestructive near-infrared (near-IR) spectroscopic tablet hardness testing over a range of tablet potencies. The spectral features that allow near-IR tablet hardness testing were evaluated. Cimetidine tablets of 1-20% potency and 1-7 kp hardness were used for the development and testing of a new spectral best-fit algorithm for tablet hardness prediction. Actual tablet hardness values determined via a destructive diametral crushing test were used for construction of calibration models using principal component analysis/principal component regression (PCA/PCR) or the new algorithm. Both methods allowed the prediction of tablet hardness over the range of potencies studied. The spectral best-fit method compared favorably to the multivariate PCA/PCR method, but was easier to develop. The new approach offers advantages over wavelength-based regression models because the calculation of a spectral slope averages out the influence of individual spectral absorbance bands. The ability to generalize the hardness calibration over a range of potencies confirms the robust nature of the method.

Algorithms↗

Evolution and generalization of a single neurone. III. Primitive, regularized, standard, robust and minimax regressions.

We show that during training the single layer perceptron, one can obtain six conventional statistical regressions: a primitive, regularized, standard, the standard with the pseudo-inversion of the covariance matrix, robust, and minimax (support vector). The complexity of the regression equation increases with an increase in the number of iterations. The generalization accuracy depends on the type of the regression obtained during the training, on the data, learning-set size, and, in certain cases, on the distribution of components of the weight vector. For small intrinsic dimensionality of the data and certain distributions of components of the weight vector the single layer perceptron can be trained even with very short learning sequences. The type of the regression obtained in SLP training should be controlled by the sort of cost function as well as by training parameters (the number of iterations, learning step, etc.). Whitening data transformation prior to training the perceptron is a tool to incorporate a prior information into the prediction rule design, and helps both to diminish the generalization error and the training time.

Biological Evolution↗

A Modified General Regression Neural Network (MGRNN) with new, efficient training algorithms as a robust 'black box'-tool for data analysis.

A Modified General Regression Neural Network (MGRNN) is presented as an easy-to-use 'black box'-tool to feed in available data and obtain a reasonable regression surface. The MGRNN is based on the General Regression Neural Network by D. Specht [Specht, D. (1991). A General Regression Neural Network. IEEE Transactions on Neural Networks, 2(6), 568-576], therefore, the network's architecture and weights are determined. The kernel width of each training sample is trained by two supervised training algorithms. These fast and reliable algorithms require four user-definable parameters, but are robust against changes of the parameters. Its generalization ability was tested with different benchmarks: intertwined spirals, Mackey-Glass time series and PROBEN1. The MGRNN provides two additional features: (1) it is trainable with arbitrary data as long as a suitable metric exists. Particularly, it is unnecessary to force the data structure to vectors of equal length; (2) it is able to compute the gradient of the regression surface as long as the gradient of the metric is definable and defined. The MGRNN solves common practical problems of common feed-forward networks.

Algorithms↗

Parallel and robust skeletonization built on self-organizing elements.

A massively parallel neural architecture is suggested for the approximate computation of the skeleton of a planar shape. Numerical examples demonstrate the robustness of the method. The architecture is constructed from self-organizing elements that allow the extension of the concept of skeletonization to areas remote to image processing.

Journal Article↗

Robust spatial working memory through homeostatic synaptic scaling in heterogeneous cortical networks.

The concept of bell-shaped persistent neural activity represents a cornerstone of the theory for the internal representation of analog quantities, such as spatial location or head direction. Previous models, however, relied on the unrealistic assumption of network homogeneity. We investigate this issue in a network model where fine tuning of parameters is destroyed by heterogeneities in cellular and synaptic properties. Heterogeneities result in the loss of stored spatial information in a few seconds. Accurate encoding is recovered when a homeostatic mechanism scales the excitatory synapses to each cell to compensate for the heterogeneity in cellular excitability and synaptic inputs. Moreover, the more realistic model produces a wide diversity of tuning curves, as commonly observed in recordings from prefrontal neurons. We conclude that recurrent attractor networks in conjunction with appropriate homeostatic mechanisms provide a robust, biologically plausible theoretical framework for understanding the neural circuit basis of spatial working memory.

Action Potentials↗

A hierarchical neural network algorithm for robust and automatic windowing of MR images.

A novel hierarchical neural network based algorithm for automatic adjustment of display window width and center for a wide range of magnetic resonance (MR) images is presented in this paper. The algorithm consists of a feature generator utilizing both wavelet histogram and compact spatial statistical information computed from a MR image, a competitive layer based neural network for clustering MR images into different subclasses, two pairs of a radial basis function (RBF) network and a bi-modal linear estimator for each subclass, as well as a data fusion process using estimates from both estimators to compute the final display parameters. Both estimators can adapt to new kinds of MR images simply by training them with those images, which make the algorithm adaptive and extendable. The RBF based estimator performs very well for images that are similar to those in the training data set. The bi-modal linear estimator provides reasonable estimations for a wide range of images that may not be included in the training data set. The data fusion step makes the final estimation of the display parameters accurate for trained images and robust for the unknown images. The algorithm has been tested on a wide range of MR images and has shown satisfactory results.

Algorithms↗

Fluorescent monitoring of kinase activity in real time: development of a robust fluorescence-based assay for Abl tyrosine kinase activity.

Fluorescent biosensors hold great promise for drug discovery. Using a solid-phase version of protein semi-synthesis, we incorporated two fluorophores at specific sites within a truncated version of the c-Crk-II protein. The resulting fluorescent protein biosensor permits the real-time monitoring of Abl kinase activity and provides a robust and rapid method for assaying Abl kinase inhibitors.

Amino Acid Sequence↗

A robust, inexpensive filter for blocking UVC radiation in broad-spectrum 'UVB' lamps.

Accurate studies of the biological effects of UBV radiation require suitable laboratory sources. Lamps labeled as UVB sources often emit UVC radiation that contributes significantly to the levels of DNA damage. The UVC from an unfiltered UVB source produced more pyrimidine dimers in soybean DNA than a lamp filtered by a Pyrex dish that removes wavelengths of < 280 nm. Calculations based on action spectra and on the emission spectra of unfiltered lamps indicate that UVC contributes approximately 13%, 4% and approximately 1% of the total dimers induced in unshielded cells or DNA, alfalfa cotyledons, and human skin, respectively. Further, relative to a Pyrex dish-filtered lamp, an unfiltered lamp would produce approximately 7-, 2.4- or 2.8-fold more dimers in these three biological systems. We report here that a Pyrex dish provides an effective, stable, robust and inexpensive filter for reducing or excluding the contribution of UVC to damage induced by broad-spectrum 'UVB' lamps.

DNA↗

Improved optimization for the robust and accurate linear registration and motion correction of brain images.

Linear registration and motion correction are important components of structural and functional brain image analysis. Most modern methods optimize some intensity-based cost function to determine the best registration. To date, little attention has been focused on the optimization method itself, even though the success of most registration methods hinges on the quality of this optimization. This paper examines the optimization process in detail and demonstrates that the commonly used multiresolution local optimization methods can, and do, get trapped in local minima. To address this problem, two approaches are taken: (1) to apodize the cost function and (2) to employ a novel hybrid global-local optimization method. This new optimization method is specifically designed for registering whole brain images. It substantially reduces the likelihood of producing misregistrations due to being trapped by local minima. The increased robustness of the method, compared to other commonly used methods, is demonstrated by a consistency test. In addition, the accuracy of the registration is demonstrated by a series of experiments with motion correction. These motion correction experiments also investigate how the results are affected by different cost functions and interpolation methods.

Acoustic Stimulation↗

A robust method for evaluation of NANC transmission in human sigmoid colon muscle in vitro.

INTRODUCTION: Human tissues are notoriously difficult to work with, giving results that are quantitatively variable within and between studies. Hence, previous investigations of nonadrenergic, noncholinergic (NANC) relaxation in human colon muscle report both partial and complete inhibitions of the NANC response by specific competitive inhibitors of nitric oxide (NO) production. We have established a robust and reproducible model to examine the contribution of NO during NANC relaxation assay in human sigmoid colon muscle strips. METHODS: Complete control curves to long-train, stepwise, frequency-dependent, continuous electrical field stimulation (EFS) relaxation using vertical platinum electrodes connected to a biphasic pulse train stimulator generated NANC responses in fresh human sigmoid colon circular muscle strips set up in Bennett baths. A second complete curve was generated on the same strip in the presence of specific drugs to determine the contribution of NO to NANC relaxation. Responses to NO were also generated in muscle strips. Results were fitted to the Hill equation. RESULTS: The first and second frequency-response curves without test drugs could be fitted to the Hill equation, resulting in similar midpoint locations ([f](50)), maximal asymptotes (alpha), and midpoint slope (n) parameters. L-N(G)-nitro-arginine (L-NOARG), TTX, and haemoglobin produced a tonic contraction in the muscle strips. NANC relaxations to EFS were inhibited by L-NOARG (30-37%), TTX (56-62%), and haemoglobin (48-90%). NO relaxations were concentration dependently inhibited by haemoglobin. Haemoglobin was equipotent in mediating tonic contraction and inhibiting NO relaxation. DISCUSSION: We established reproducible assays for human colon muscle strips by the generation of two complete dose-response curves to long-train EFS, thus enabling a "within-preparations" study. The results suggest that NO contributes but is not the sole mediator of relaxations to long-train EFS in human sigmoid colon muscle. Moreover, a basal production of NO may serve to regulate tone of human colonic muscle.

Colon↗

Robust charge transport in DNA double crossover assemblies.

BACKGROUND: Multiple-stranded DNA assemblies, encoded by sequence, have been constructed in an effort to self-assemble nanodevices of defined molecular architecture. Double-helical DNA has been probed also as a molecular medium for charge transport. Conductivity studies suggest that DNA displays semiconductor properties, whereas biochemical studies have shown that oxidative damage to B-DNA at the 5'-G of a 5'-GG-3' doublet can occur by charge transport through DNA up to 20 nm from a photo-excited metallointercalator. The possible application of DNA assemblies, in particular double crossover (DX) molecules, in electrical nanodevices prompted the design of a DNA DX assembly with oxidatively sensitive guanine moieties and a tethered rhodium photo-oxidant strategically placed to probe charge transport. RESULTS: DX assemblies support long-range charge transport selectively down the base stack bearing the intercalated photo-oxidant. Despite tight packing, no electron transfer (ET) crossover to the adjacent base stack is observed. Moreover, the base stack of a DX assembly is well-coupled and less susceptible than duplex DNA to stacking perturbations. Introducing a double mismatch along the path for charge transport entirely disrupts long-range ET in duplex DNA, but only marginally decreases it in the analogous stack within DX molecules. CONCLUSIONS: The path for charge transport in a DX DNA assembly is determined directly by base stacking. As a result, the two closely packed stacks within this assembly are electronically insulated from one another. Therefore, DX DNA assemblies may serve as robust, insulated conduits for charge transport in nanoscale devices.

Base Pair Mismatch↗