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At least 343 records · Page 19Linked to original sources

Development of an ombrotrophic peat bog (low ash) reference material for the determination of elemental concentrations.

Given the increasing interest in using peat bogs as archives of atmospheric metal deposition, the lack of validated sample preparation methods and suitable certified reference materials has hindered not only the quality assurance of the generated analytical data but also the interpretation and comparison of peat core metal profiles from different laboratories in the international community. Reference materials play an important role in the evaluation of the accuracy of analytical results and are essential parts of good laboratory practice. An ombrotrophic peat bog reference material has been developed by 14 laboratories from nine countries in an inter-laboratory comparison between February and October 2002. The material has been characterised for both acid-extractable and total concentrations of a range of elements, including Al, As, Ca, Cd, Cr, Cu, Fe, Hg, Mg, Mn, Na, Ni, P, Pb, Ti, V and Zn. The steps involved in the production of the reference material (i.e. collection and preparation, homogeneity and stability studies, and certification) are described in detail.

Environmental Monitoring↗

In silico models of acute inflammation in animals.

Trauma and hemorrhagic shock elicit an acute inflammatory response, predisposing patients to sepsis, organ dysfunction, and death. Few approved therapies exist for these acute inflammatory states, mainly due to the complex interplay of interacting inflammatory and physiological elements working at multiple levels. Various animal models have been used to simulate these phenomena, but these models often do not replicate the clinical setting of multiple overlapping insults. Mathematical modeling of complex systems is an approach for understanding the interplay among biological interactions. We constructed a mathematical model using ordinary differential equations that encompass the dynamics of cells and cytokines of the acute inflammatory response, as well as global tissue dysfunction. The model was calibrated in C57Bl/6 mice subjected to (1) various doses of lipopolysaccharide (LPS) alone, (2) surgical trauma, and (3) surgery + hemorrhagic shock. We tested the model's predictive ability in scenarios on which it had not been trained, namely, (1) surgery +/- hemorrhagic shock + LPS given at times after the beginning of surgical instrumentation, and (2) surgery + hemorrhagic shock + bilateral femoral fracture. Software was created that facilitated fitting of the mathematical model to experimental data, as well as for simulation of experiments with various inflammatory challenges and associated variations (gene knockouts, inhibition of specific cytokines, etc.). Using this software, the C57Bl/6-specific model was recalibrated for inflammatory analyte data in CD14-/- mice and was used to elucidate altered features of inflammation in these animals. In other experiments, rats were subjected to surgical trauma +/- LPS or to bacterial infection via fibrin clots impregnated with various inocula of Escherichia coli. Mathematical modeling may provide insights into the complex dynamics of acute inflammation in a manner that can be tested in vivo using many fewer animals than has been possible previously.

Animals↗

Detection of deleted genomic DNA using a semiautomated computational analysis of GeneChip data.

Genomic diversity within and between populations is caused by single nucleotide mutations, changes in repetitive DNA systems, recombination mechanisms, and insertion and deletion events. The contribution of these sources to diversity, whether purely genetic or of phenotypic consequence, can only be investigated if we have the means to quantitate and characterize diversity in many samples. With the advent of complete sequence characterization of representative genomes of different species, the possibility of developing protocols to screen for genetic polymorphism across entire genomes is actively being pursued. The large numbers of measurements such approaches yield demand that we pay careful attention to the numerical analysis of data. In this paper we present a novel application of an Affymetrix GeneChip to perform genome-wide screens for deletion polymorphism. A high-density oligonucleotide array formatted for mRNA expression and targeted at a fully sequenced 4.4-million-base pair Mycobacterium tuberculosis standard strain genome was adapted to compare genomic DNA. Hybridization intensities to 111,000 probe pairs (perfect complement and mismatch complement) were measured for genomic DNA from a clinical strain and from a vaccine organism. Because individual probe-pair hybridization intensities exhibit limited sensitivity/specificity characteristics to detect deletions, data-analytical methodology to exploit measurements from multiple probes in tandem locations across the genome was developed. The TSTEP (Tandem Set Terminal Extreme Probability) algorithm designed specifically to analyze the tandem hybridization measurements data was applied and shown to discover genomic deletions with high sensitivity. The TSTEP algorithm provides a foundation for similar efforts to characterize deletions in many hybridization measures in similar-sized and larger genomes. Issues relating to the design of genome content screening experiments and the implications of these methods for studying population genomics and the evolution of genomes are discussed.

Algorithms↗

[Problems of food authenticity].

In this review the several data concerning food authenticity were presented. Typical examples of food adulteration were described. The most known are adulteration of vegetable and fruit products, adulteration of wine, honeys, olive oil etc. The modern analytical techniques for detection of food adulteration were discussed. Among physicochemical methods isotopic techniques (SCIRA, IRMS, SNIF-NMR) were cited. The main spectral methods are: IACPAES, PyMs, FTIR, NIR. The chromatographic techniques (GC, HPLC, HPAEC, HPTLC) with several kinds of detectors were described and the ELISA and PCR techniques are mentioned, too. The role of chemometrics as a way of several analytical data processing was highlighted. It was pointed out at the necessity of more rigorous control of food to support of all activity in area of fight with fraud in food industry.

Calorimetry, Differential Scanning↗

Polyisocyanates in occupational environments: a critical review of exposure limits and metrics.

BACKGROUND: Determination of polyisocyanates is important because they are a major contributor of exposure to the isocyanate functional group in many workplace environments and are capable of inducing sensitization and asthma. However, with multiple different measurement metrics in use, comparison of isocyanate exposure data between studies and development of occupational exposure limits (OELs) for polyisocyanates is difficult. METHODS: An analysis of existing problems in the measurement and regulation of isocyanates is presented based on the published analytical, toxicological, and regulatory literature, and the authors' own analytical data and experience with isocyanates. RESULTS: This analysis supports a need for standardization of isocyanate measurement metrics and provides a framework for the development of an OEL for polyisocyanates. CONCLUSIONS: The total isocyanate group (microg NCO/m(3)) is recommended as the most feasible and practical metric (unit) by which to express polyisocyanate exposures for research, control, and regulatory purposes. The establishment of a comprehensive isocyanate OEL that simplifies the current agent-by-agent approach and expands coverage to polyisocyanates is also recommended.

Air Pollutants, Occupational↗

A study of the effects of trend, variability, frequency, and form of data on teachers' judgments about progress and their decisions about program change.

Past research has demonstrated the influence of various factors on teachers' judgments about their students' progress. When graphed data are viewed, teachers tend to make different decisions depending upon the amount of data viewed and its trend. Current surveys of teachers' practices in data collection and decision-making indicate that teachers primarily collect training data which are examined in both graphed and ungraphed (response by response) forms to make weekly decisions about progress. In this study, 56 teachers of students with moderate to profound disabilities viewed task analytic data in one of three forms: graphed, ungraphed, or both forms. Teachers were asked to describe the progress and make a program recommendation for each student whose data they examined. Three repeated factors (trend, variability, and frequency of data collection) also were examined for their effect on the dependent variables and their interactions with data form and with each other. Results were in agreement with earlier research and further indicated that the form of the data did not produce different judgments or decisions. However, the three factors, trend, variability, and the frequency of data collection, all had significant main effects with teachers' descriptions about student progress and their program recommendations; several significant interactions among the factors also were found.

Achievement↗

Incremental validity of new clinical assessment measures.

The authors address conceptual and methodological foundations of incremental validity in the evaluation of newly developed clinical assessment measures. Incremental validity is defined as the degree to which a measure explains or predicts a phenomenon of interest, relative to other measures. Incremental validity can be evaluated on several dimensions, such as sensitivity to change, diagnostic efficacy, content validity, treatment design and outcome, and convergent validity. Indices of incremental validity can vary depending on the criterion measures, comparison measures, and individual differences in samples. The authors review the rationale for, principles, and methods of incremental validation, including the selection of comparison and criterion measures, and address data analytic strategies and the conditional nature of incremental validity evaluations in the selection of measures. Incremental validity contributes to, but is different from, cost-benefits, which reflect the cost of acquiring the data and the benefits from the data. The impact of an incremental validity index on whether a measure is selected will be moderated by the cost of acquiring the new data, the importance of the measured phenomenon, and the clinical utility of the new data.

Humans↗

Study of essential elements in cattle tissues from a tropical country using instrumental neutron activation analysis.

There has been increasing interest in the elemental composition of animal tissues to support health and nutritional studies. Determining the elemental concentration in cattle tissues is especially important because these materials are used for multipurpose objectives such as the assessment of animal health, the quality of human foods consumed, and as a potential environmental biomonitor. Chromium, copper, sodium, potassium, iron, and zinc levels were determined in bovine tissues--kidney, liver and muscle--from cattle bred and raised in a potentially metal contaminated region because of mineral activities. The Brazilian data were obtained using k0-instrumental neutron activation analysis, performed at the Nuclear Development Technology Centre/Nuclear Energy National Commission (CDTN/CNEN) in Minas Gerais State. The values of international organizations and the Brazilian analytical data are compatible. This study indicates that the nuclear technique is an efficient tool to determine elemental concentration in animal biological samples.

Animals↗

[Screening and identification of stimulant and psychedelic drugs as acetyl-derivatives by GC-MS].

With the increasing number of abused stimulant and psychedelic drugs, along with so called "dance drugs" and "new synthetic drugs" available on the Czech illegal market, there is a need to update methods in toxicological laboratories and therefore it is necessary to develop and optimalize screening and identification procedures for new toxic substances appearing in the laboratory practice. It is well known that relatively popular commercial screening immunoassays have some limits: for instance restricted amount of detectable substances, specificity and sensitivity of detection. Therefore, it is mandatory to combine or complete them with more specific methods based on a different principle. In this paper we have focused on collecting useful analytical data to introduce or complete the system of detection and identification of unknown drugs and their metabolites which can appear in biological samples by using gas chromatography-mass spectrometry (GC-MS) after preparation of relevant acetylated derivatives. The collection of experimental data involves retention indexes and mass spectra of acetylated phenylalkylamines, tryptamines and piperazines and some of their metabolites. These data are fundamental for laboratory diagnostics of drugs of abuse or intoxication and they can be useful for practical application in a number of toxicological laboratories. The mean limit of detection 0.1 ng analyte injected to GC-MS is low enough to allow the method to be successfully applied to real toxicological samples.

Central Nervous System Stimulants↗

Distribution of deoxynivalenol in wheat, wheat flour, bran, and gluten, and variability associated with the test procedure.

Analytical data obtained on deoxynivalenol (DON) concentration in naturally contaminated wheat during processing in an industrial mill were statistically analyzed, and the distribution functions of DON concentration in lots of wheat, bran, wheat flour, and gluten were estimated. The analytical method had acceptable precision (HORRAT 0.25-0.32) for each test sample. The total variance combined sampling, sample preparation, and analytical variances were 0.188, 0.033, 0.42, and 0.0014 ppm2 for wheat, 1.93; flour, 0.99; bran, 4.68; and gluten, 0.29, respectively. The distribution function of DON contamination presented an asymmetric tail for high values of concentration in wheat grains and wheat flour; in bran it seemed to be bimodal with 2 separated peaks of different concentrations; in gluten the normal distribution function gave a reasonably good fit to empirical data. The function eta(c) = -In(-Inp), where p (c) is the cumulative distribution function was linear with c in the so-called extreme-value type I distribution and could be fitted by a cubic polynomial in c in the distributions determined for all the products. This variability and distributional information contributes to the design of better sampling plans in order to reduce the total variability and to estimate errors in the evaluation of DON concentration in lots of wheat and wheat products.

Dietary Fiber↗

Exploring individual change.

In the analysis of the impact of clinical interventions, the received wisdom has been that posttreatment scores, with pretreatment scores equated by random assignment or statistically partialed out, should be used to evaluate treatment outcomes. However, posttreatment scores are not generally more reliable than, nor equivalent to, change scores, even with pretreatment scores partialed out of both. Moreover, there are data-analytic methods that indicate how individual patients change, in terms of response curves over time, rather than indicate only how much groups change on the average. These methods take researchers back to the individual data that they ought to use for choosing the specific models of change to be used. To maximize relevance for clinical practice, the results of treatment research should always be reported at this most disaggregated or individual change level, as well as, when appropriate, at more aggregated statistical levels.

Data Interpretation, Statistical↗

[Polycythemia vera as a multiphasic clonal panmyelopathy: diagnostic profile, chronic pathological progression and effect of therapy on the survival of 74 cases].

PURPOSE: 1. To recognise the clinico-biological profile of a group of patients diagnosed of polycythaemia vera (PV) in our centre in the last 30 years. 2. To identify the evolutive patterns of haematological transformation. 3. To evaluate the effect of therapy on the survival. PATIENTS AND METHODS: The clinical records of 74 patients (median age 62 years, male/female = 0.94, followed-up for 6-357 months, median 64 months) were reviewed. Clinico-biological data at diagnosis, therapy, complications and evolution of the haematological picture were evaluated in each case. The actuarial survival in the series was compared to that of the normal population. RESULTS: The clinico-analytical data and diagnostic features were identical to other series reported. Mild increases of bone marrow reticulin was present in two thirds of the cases, overt myelofibrosis being found in only 10% of the patients. Abnormal karyotype was seen in 9% of the patients (11q-, -Y). Phlebotomy was the only treatment in eight cases, without increased incidence of thrombotic phenomena. The remainders received myelosuppressive therapy (32P, busulphan, pipobroman, hydroxyurea, etc.), thrombotic complications appearing in 8 cases and haemorrhagic complications in 4 others. One of these latter patients developed oesophageal carcinoma. The haematological picture evolved into toxic aplastic anaemia in 2 cases; myelofibrosis with myeloid metaplasia (MF/MM) in 8; myelodysplastic sindromes (MDS) in 5, three of them RAEB; and acute myelogenous leukaemia in 3 cases, two of them as the final stage of previous MF/MM and MDS/ RAEB. The actuarial survival was 71% at ten years and 46% at fifteen years, and the median survival as a whole was 13.5 years. CONCLUSIONS: 1: The treatment, mostly myelosuppressive, given to these patients attained a survival similar to that of the general population. 2: Of the cases with known evolution, 15.6% developed MF/MM, its incidence being higher in patients treated only with phlebotomy (37%). 3: The incidence of malignant evolution, i.e., to RAEB/AML, amongst those patients followed-up was 10.6%.

Adult↗

Metal microcrystal pollutants: the heat resistant, transmissible nucleating agents that initiate the pathogenesis of TSEs?

This paper exposes the flaws in the conventional consensus on the origins of transmissible spongiform encephalopathies (TSEs) which decrees that the protein-only misfolded 'prion' represents the primary aetiological transmissible agent, and then reviews/presents the emerging data which indicates that environmental exposure to metal microcrystal pollutants (sourced from munitions, etc.) represents the heat resistant, transmissible nucleating agents which seed the metal-prion protein (PrP)-ferritin fibril crystals that cause TSE. Fresh analytical data is presented on the levels of metals in ecosystems which support populations affected by clusters of variant Creutzfeldt-Jacob disease (vCJD), sporadic/familial CJD, and the scrapie types of TSE that have emerged in the UK, Sicily, Sardinia, Calabria and Japan. This data further substantiates the abnormal geochemical template (e.g., elevated strontium (Sr), barium (Ba) and silver (Ag)) which was observed as a common hallmark of the TSE cluster ecosystems across North America, thereby supporting the hypothesis that these microcrystals serve as the piezoelectrion nucleators which seed the growth/multireplication of the aberrant metal-PrP-ferritin fibril features which characterise the neuropathology of the TSE diseased brain. A secondary pathogenic mechanism entails the inactivation of the sulphated proteoglycans which normally regulate the mineralisation process. This can be induced by a rogue metal mediated chelation of free sulphur, or by contamination with organo-sulphur pollutants that substitute at natural sulphur bonds, or via a mutation to the S-proteoglycan cell line; thereby enabling the aberrant overgrowth of rogue fibril crystal formations that possess a piezoelectric capacity which compromises the ability of the contaminated individual to process incoming acoustic/tactile pressure waves in the normal way. The crystals transduce incoming sonic energy into electrical energy, which, in turn, generates magnetic fields on the crystal surfaces that initiate chain reactions of free radical mediated spongiform neurodegeneration. Metal microcrystal nucleating agents provide a group of plausible aetiological candidates that explain the unique properties of the TSE causal agent - such as heat resistance, transmissibility, etc. - which the protein-only prion model fails to fulfill. This paper also discusses the possible nutritional measures that could best be adopted by populations living in high risk TSE ecosystems; as a means of preventing the successful implantation of these rogue microcrystals and their consequent hypermineralisation of the soft tissues within the CNS.

Animals↗

Differential scanning calorimetry and scanning thermal microscopy analysis of pharmaceutical materials.

Micro-thermal analysis (microTA) by scanning thermal microscopy is being used increasingly for the analysis of pharmaceutical dosage forms. However, there is currently little evidence to show that microTA data can compare directly with that from the established approach of differential scanning calorimetry (DSC). This work compares DSC and microTA data from an active vitamin B6 analogue, pyridoxal hydrochloride, and two commonly used pharmaceutical excipients, Mannitol and Avicel which are used in its formulation. It is found that microTA provides precise and accurate micro-thermal analytical data with 0.1 K thermal sensitivity, which is comparable to that obtained by DSC measurements of bulk samples. It is also shown that microTA offers the opportunity to study single particles and the interfacial region between particles, data which is currently inaccessible through the DSC technique.

Calorimetry, Differential Scanning↗

Nickel, cobalt and chromium in consumer products: a role in allergic contact dermatitis?

In spite of the improved awareness of the potential for nickel, cobalt and chromium to cause skin allergy, the incidence of sensitization to them is generally on the increase, especially for nickel. We review data from the literature and industry on transition metal contamination of consumer products and assess the hazard to man. Consumer products are defined as personal care items and detergent/cleaning products used regularly in domestic work. The analytical data demonstrate that consumer products are a relatively minor source of contact with nickel, cobalt or chromium. The traces found in consumer products will not be the primary cause of sensitization to these metals: levels will be too low and exposure too brief. A person sensitized to these metals has many other more significant sources of daily contact such as earrings, jewelry and metal objects. It is therefore necessary to focus on decreasing the high exposure to these transition metals from other sources rather than on possible trace amounts found in consumer products. Current good manufacturing practice ensures that trace nickel, cobalt and chromium concentrations in consumer products are less than 5 ppm of each metal. It is recommended that this be accepted as a standard for maximum concentrations and that the target should be to achieve concentrations as low as 1 ppm.

Chromium↗

Linear regression for calibration lines revisited: weighting schemes for bioanalytical methods.

When the assumption of homoscedasticity is not met for analytical data, a simple and effective way to counteract the greater influence of the greater concentrations on the fitted regression line is to use weighted least squares linear regression (WLSLR). The purpose of the present paper is to stress the relevance of weighting schemes for linear regression analysis and to show how this approach can be useful in the bioanalytical field. The steps to be taken in the study of the linear calibration approach are described. The application of weighting schemes was shown by using a high-performance liquid chromatography method for the determination of lamotrigine in biological fluids as a practical example. By using the WLSLR, the accuracy of the analytical method was improved at the lower end of the calibration curve. Bioanalytical methods data analysis was improved by using the WLSLR procedure.

Calibration↗

Ecotoxicological monitoring of remediation in a coke oven soil.

Assessment of contaminated sites is usually based on chemical analyses of hazardous compounds in soil. This is enough either to assess the environmental hazard of contaminated soil nor to evaluate the efficiency of applied remediation techniques. Information on the bioavailability of complex mixtures of xenobiotics and degradation products cannot be provided by chemical analytical data, but results from bioassays can integrate the effects of pollutants in mixtures. In the preservation of human health and environmental quality, it is important to evaluate ecotoxicological effects of contaminated industrial soils to complement the techniques of analytical chemistry. The monitoring of a coke oven soil and the evaluation of the landfarming treatment technique, conducted on-site in a pilot scale installation, was done by a battery of ecotoxicological tests: acute, chronic, and genotoxicity tests. Contaminated soil samples revealed toxic effects for different species mainly due to high concentrations of polycyclic aromatic hydrocarbons (PAHs). After landfarming treatment, soil samples presented significant reduction in toxicity, confirming the effectiveness of the landfarming process pointed out by a significant reduction in low molecular weight PAH concentrations. Comparative analysis of the different ecotoxicological tests allowed the establishment and validation of a more suitable procedure for the monitoring of PAH contaminated soils.

Animals↗

Exploring simple independent action in multifactor tables of proportions.

The problem of assessing synergistic or antagonistic departure from simple independent action in multifactor tables of proportions is discussed. A generalized linear model is employed in which additivity corresponds to simple independent action. Data-analytic strategies are proposed for exploring departures from simple independent action in various extensions of the 2 X 2 table of proportions. This methodology is illustrated with a series of models fitted to cellular differentiation and murine toxicity data.

Animals↗