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At least 289 records · Page 16Linked to original sources

Analytical versus food table values for vitamin C in foods: the effect on calculated vitamin C intake of elderly subjects.

During a longitudinal study of vitamin C nutrition in 23 healthy elderly people, samples of cooked vegetables and liver, canned meats, canned vegetables and fruit drinks were analysed for vitamin C content. The analytical data are presented here and the effect on calculated daily intake of vitamin C of using the analytical values in place of food table values is assessed. For cooked foods the analysed values were close to food table values; exceptions were spring cabbage, cauliflower and canned potatoes. Fortified fruit drinks contained 20-60 mg vitamin C per 100 ml and made an important contribution to intake. Canned meats contained 0.3-61.4 mg per 100 g (mean 14.9 mg), but their contribution to intake was considered small. The difference between daily intakes calculated using analytical and food table values was greater than 5 mg in 37 per cent of 1-day periods and in 17 per cent of 7-day periods. These differences were not sufficient to significantly alter the correlations between intake and biochemical indices found in the original study. Nevertheless, given the discrepancies between calculated and analysed vitamin C intakes reported in the literature, analytical work is probably essential in studies of vitamin C nutrition.

Aged↗

Physico-chemical and analytical studies on plafibride.

Physico-chemical and analytical studies on N-2-(p-chlorophenoxy)-isobutyryl)-N'-morpholinomethylurea (plafibride, ITA 104) are reported. Besides the usual analytical data, spectral (UV, IR, NMR, MS) and chromatographic (HPLC, TLC) properties are described. As to chemico-analytical procedures, ITA 104 is detectable by titrimetric and spectralphotometric methods and by thin-layer chromatography.

Chemical Phenomena↗

Quality-control materials in the USDA National Food and Nutrient Analysis Program (NFNAP).

The US Department of Agriculture (USDA) Nutrient Data Laboratory (NDL) develops and maintains the USDA National Nutrient Databank System (NDBS). Data are released from the NDBS for scientific and public use through the USDA National Nutrient Database for Standard Reference (SR) ( http://www.ars.usda.gov/ba/bhnrc/ndl ). In 1997 the NDL initiated the National Food and Nutrient Analysis Program (NFNAP) to update and expand its food-composition data. The program included: 1) nationwide probability-based sampling of foods; 2) central processing and archiving of food samples; 3) analysis of food components at commercial, government, and university laboratories; 4) incorporation of new analytical data into the NDBS; and 5) dissemination of these data to the scientific community. A key feature and strength of the NFNAP was a rigorous quality-control program that enabled independent verification of the accuracy and precision of analytical results. Custom-made food-control composites and/or commercially available certified reference materials were sent to the laboratories, blinded, with the samples. Data for these materials were essential to ongoing monitoring of analytical work, to identify and resolve suspected analytical problems, to ensure the accuracy and precision of results for the NFNAP food samples.

Agriculture↗

Genetic changes across language boundaries in Europe.

By means of three different methods we investigated whether 59 allele frequencies and ten cranial variables show increased change at 29 language-family boundaries in Europe. The quadrat-variance method compares variances of map quadrats crossed by language-family boundaries to variances of quadrats that are not crossed. The rate-of-change method examines the directional derivative of surfaces of the variables perpendicular to a language-family boundary and compares these derivatives to the same quantities obtained by randomly placing the language boundaries on the map of Europe. The difference method tests whether these variables differ more across language-family boundaries than across randomly placed boundaries. These special data-analytic techniques had to be developed to avoid the problem of spatial autocorrelation of both language and biological data. All three methods indicate increased genetic change at language-family boundaries. Clearer and more pronounced results are obtained by the first two methods than by the difference method. Thirteen language-family boundaries show significant gene frequency change by at least one of the methods. Changes are more marked in gene frequencies than in cranial variables. Different allele frequencies mark the increased change at different language boundaries. A model, based on the known history of each language-family boundary, was constructed to predict whether given boundaries should exhibit increased genetic change. The model is in good agreement with the observed results.

Alleles↗

Intake of conjugated linoleic acid, fat, and other fatty acids in relation to postmenopausal breast cancer: the Netherlands Cohort Study on Diet and Cancer.

BACKGROUND: Conjugated linoleic acid (CLA), which is present in milk products and meat from ruminants, appears to have anticarcinogenic activity against breast cancer in animal and in vitro experiments. To date, few epidemiologic data are available in humans. OBJECTIVE: This study evaluated the relation between intakes of CLA and other fatty acids and breast cancer incidence in the Netherlands Cohort Study. DESIGN: Intake data derived from a validated 150-item food-frequency questionnaire were linked to an existing database with analytic data on specific fatty acids in European foods (the TRANSFAIR study). With 6.3 y of follow-up and 941 incident cases of breast cancer, multivariate rate ratios and 95% CIs were calculated for energy-adjusted intakes of fatty acids and CLA-containing food groups (eg, butter, cheese, milk, other milk products, and meat). RESULTS: CLA intake showed a weak, positive relation with breast cancer incidence (rate ratio for highest compared with lowest quintile: 1.24, 95% CI: 0.91, 1.69; P for trend = 0.02). Statistically significant positive associations were found with total trans fatty acids and (borderline) with saturated fatty acids. Significant inverse associations were found with monounsaturated and cis unsaturated fatty acids, whereas total fat and energy intake of CLA-containing food groups were not related to breast cancer incidence. CONCLUSION: The suggested anticarcinogenic property of CLA in animal and tissue culture models could not be confirmed in this epidemiologic study in humans.

Aged↗

Semiparametric maximum likelihood for nonlinear regression with measurement errors.

This article demonstrates semiparametric maximum likelihood estimation of a nonlinear growth model for fish lengths using imprecisely measured ages. Data on the species corvina reina, found in the Gulf of Nicoya, Costa Rica, consist of lengths and imprecise ages for 168 fish and precise ages for a subset of 16 fish. The statistical problem may therefore be classified as nonlinear errors-in-variables regression with internal validation data. Inferential techniques are based on ideas extracted from several previous works on semiparametric maximum likelihood for errors-in-variables problems. The illustration of the example clarifies practical aspects of the associated computational, inferential, and data analytic techniques.

Algorithms↗

[LATINFOODS].

Food Composition Tables should be considered as national wealth and as valuable tools for utilization in food and nutrition, in nutritional therapy, in agricultural planning and production, in food guides, and in the food industry for the formulation of information on the product that appears in the label. They should, therefore, be considered as national wealth because they chemically describe the food resources of a country at a very high price, and are considered valuable tools due to their multiple applications. The countries present Tables were published between 1935 and 1961, with analytical data available at that time. So far the Tables have met their purpose, but due to changes that have occurred in raw materials, in analytical methodology, in the new knowledge acquired in nutrition, and in the relationships between food and diseases, in November 1986, representative groups of the Latin American and the Caribbean countries decided to create LATINFOODS. The objective of the program is to promote the development of data banks of foods of the Latin American countries, creating national multidisciplinary groups interested in data production, compilement, publication and utilization, and that eventually, may be homogeneously united to form a data bank for Latin America and the Caribbean Region. During the meeting in favor of the creation of LATINFOODS, detection was made of the constraints of the Food Composition Tables now used as well as the measures needed to correct such problems. These included the number of samples collected as well as the analytical methods used, and the number of nutrients. Due to the observed increase in production and distribution of new food products by the food industry, and to the increased association between foods and diseases, the food industry must participate not only in the generation of data, but in their utilization for food identification, nutrient contribution and nutritional education. Likewise, academic programs in Food Technology should extend the concepts of Food Science with special emphasis on food nutrient contents, to reach an adequate nutritional and health status for the Latin American population.

Databases, Factual↗

Monitoring perchlorate exposure and thyroid hormone status among raccoons inhabiting a perchlorate-contaminated site.

Perchlorate is a water soluble anion that is readily accumulated in vegetation. It inhibits uptake of iodide into thyroid gland tissue, thereby reducing production of thyroid hormones. Potential raccoon food items including berries, fish, and vegetation collected at a contaminated site contained quantifiable concentrations of perchlorate as determined by ion chromatography. Therefore, we monitored resident raccoons for exposure to perchlorate by examining plasma perchlorate and thyroid hormone concentrations. Resulting analytical data failed to demonstrate perchlorate exposure among raccoons that likely consumed food items collected along perchlorate-contaminated water bodies. There were no correlations between triiodothyronine or thyroxine and thyroid stimulating hormone concentrations, but triiodothyronine concentrations in raccoon plasma were significantly higher in 2000 than in 2001 (p = 0.0081). These data suggest that natural attenuation and remedial efforts initiated in January of 2001 may have reduced perchlorate exposure among raccoons inhabiting this site from 2000 to 2001. Temporal, spatial, and analytical factors limited our ability to quantify exposure among raccoons, however, our data do not indicate that raccoons currently inhabiting this site are at risk for significant exposure to perchlorate and subsequent effects.

Animals↗

Commentary and opinion: I. Principal component analysis, variance partitioning, and "functional connectivity".

We briefly review the need for careful study of "variance partitioning" and "optimal model selection" in functional positron emission tomography (PET) data analysis, emphasizing the use of principal component analysis (PCA) and the importance of data analytic techniques that allow for heterogeneous spatial covariance structures. Using an [15O]water dataset, we demonstrate that--even after data processing--the intrasubject signal component of primary interest in baseline activation studies constitutes a very small fraction of the intersubject variance. This small intrasubject variance component is subtly but significantly changed by using analysis of covariance instead of scaled subprofile model processing before applying PCA. Finally, we argue that the concept of "functional connectivity" should be interpreted very generally until the relative roles of inter- and intrasubject variability in both disease and normal PET datasets are better understood.

Analysis of Variance↗

Technical note: Improved extraction method with hexane for gas chromatographic analysis of conjugated linoleic acids.

Extraction properties of different solvents (chloroform/methanol, hexane/isopropanol, and hexane) were studied for the gas chromatographic analysis of conjugated linoleic acids (CLA) from probiotic bacteria grown in de Man, Rogosa, and Sharpe medium. As compared with chloroform/methanol and hexane/isopropanol, hexane showed comparable extraction efficiency for CLA from unspent de Man, Rogosa, and Sharpe medium, but showed minimal extraction of oleic acid originated from the emulsifier in broth. The extraction efficiency of CLA by hexane was influenced by the broth pH, showing the optimal pH of 7.0. Repeated extraction with hexane increased the yield. Extraction with hexane showed excellent recovery of spiked CLA from the spent broth with up to 97.2% (standard deviation of 1.74%). This represents the highest recovery of CLA from culture broth ever reported. The sample size was also successfully reduced to 0.5 mL to analyze CLA from the broth without impairment of analytical data. This smaller sample size in the 1.5-mL microcentrifuge tube using a small bench-top centrifuge reduced analytical time significantly.

2-Propanol↗

Validity of calculating fatty acid intake from mixed diets.

One hundred and seventy six weighed duplicate diets were collected over 16 consecutive days from 11 subjects. Analyses of their fatty acid composition were used to asses the validity of food composition tables. Four different calculating techniques were employed. Using the published data produced correlation coefficients of 0.29 between analysed and calculated polyunsaturated/saturated fatty acid ratios, whilst the addition of new analytical data and recoding fried foods produced a correlation coefficient of 0.56. The latter method also decreased the mean difference between analysed and calculated polyunsaturated/saturated consumption, when compared with the standard procedure.

Adult↗

FILELB: a data file structure for the analysis of physiological systems.

FILELB is a comprehensive library of subroutines for the storage, retrieval, location, inspection and entry of sequences of experimental and analytical data. The general purpose, highly organised data file structure implemented by FILELB is the core of our interactive computer package for the analysis of physiological systems.

Data Display↗

Food and dietary supplement databases for What We Eat in America-NHANES.

Relative strengths and potential approaches for improvement of food and dietary supplement databases used for tabulating intakes from the dietary component of the What We Eat in America-National Health and Nutrition Examination Survey (NHANES) are discussed. The U.S. Department of Agriculture's Nutrient Data Laboratory develops and maintains the Nutrient Databank System (NDBS) and many nutrient-specific and population-specific databases. NDBS contains data for approximately 8,000 foods and approximately 115 components; tables for compounds of special interest are also available. Nutrient databases need constant revision because of a constantly changing food supply. The completeness of analytical data varies from nutrient to nutrient. The National Center for Health Statistics developed and maintains a database of dietary supplements based on label information. To date, no verification of ingredients has been undertaken. The development of a dietary supplement database containing analytical values would require extensive resources but would be valuable. Databases for vitamin and mineral supplements are compatible with food databases. Databases for botanicals and other supplements include nonnutrient constituents that may not be documented in food composition databases. Gaps in food and dietary supplement composition data exist because of limited resources, changing availability of foods and products and the advent of new compounds of health interest. More data are needed on nutrients and other bioactive constituents in foods and dietary supplements. Analytical methods do not exist for all ingredients or active constituents in foods and dietary supplements. Research needs for further development of meaningful food and dietary supplement databases are similar.

Databases, Factual↗

Separation of heparin into fractions with different anticoagulant activity by hydrophobic interaction chromatography.

Hog mucosal heparin purified on Sephadex G-100 (anticoagulant activity assayed by the method of the United States Pharmacopoeia, 179 units/mg) was separated by hydrophobic interaction chromatography on Phenyl-Sepharose CL-4B into two groups, one with high affinity and another with low affinity for the gels. The former group was further separated into three fractions differing in hydrophobicity. The anticoagulant activities of the fractions with higher hydrophobicity ranged from 210 to 254 units/mg, whereas that of the fraction with lower hydrophobicity was 100 units/mg. The difference in antithrombin III-activation potency was much more prominent. The data obtained from affinity chromatography of these fractions on antithrombin III-Sepharose also substantiated the observed difference in anticoagulant activity. Analytical data of the fractions revealed a characteristic difference in both N-acetyl content and molecular size. While the N-acetyl content (mol/mol of hexosamine) and Kav value (on Ultrogel AcA44) of the fraction with the lowest hydrophobicity were 0.12 mol and 0.48, those of the fractions with higher hydrophobicity were 0.15-0.17 mol and 0.35-0.23, respectively.

Animals↗

Analytical characterization of isoheroin.

The synthesis of isoheroin is presented with the analytical data (mass spectroscopy [MS], nuclear magnetic resonance [NMR], infrared spectroscopy [IR], and gas liquid chromatography [GLC]) for this compound. Comparison between analytical results for heroin and isoheroin shows differentiation is possible.

Chemical Phenomena↗

Local influence in linear mixed models.

The linear mixed model has become an important tool in modelling, partially due to the introduction of the SAS procedure MIXED, which made the method widely available to practising statisticians. Its growing popularity calls for data-analytic methods to check the underlying assumptions and robustness. Here, the problem of detecting influential subjects in the context of longitudinal data is considered, following the approach of local influence proposed by Cook.

Age Factors↗

Prediction of physical and chemical qualities of crude-oil using statistical time series analysis.

An application of a statistical time series analysis method is given for the interpretation of physical and chemical qualities of crude-oil samples taken from two oil-fields in Poland. The analytical data was gathered in the years 1995-1999, the information being collected once a month. Randomly selected crude-oil samples were examined in several analytical laboratories. For each sample examined, the following chemical-physical parameters were defined: date, source of the sample, specific gravity, density, colour, relative viscosity, viscosity, kinematic viscosity, drip point, setting point, etc. The data obtained played a decisive role in classifying the samples of crude-oil and in forecasting the properties of crude-oil that will be obtained from the mines in the future. To process the data obtained, the STATISTICA programme was used. It contains a module for time series analysis and for graphical presentation of the results.

Journal Article↗

Meta-analysis of functional imaging data using replicator dynamics.

Despite the rapidly growing number of meta-analyses in functional neuroimaging, the field lacks formal mathematical tools for the quantitative and qualitative evaluation of meta-analytic data. We propose to use replicator dynamics in the meta-analysis of functional imaging data to address an important aspect of neuroimaging research, the search for functional networks of cortical areas that underlie a specific cognitive task. The replicator process requires as input only a list of activation locations, and it results in a network of locations that jointly show significant activation in most studies included in the meta-analysis. These locations are likely to play a critical role in solving the investigated cognitive task. Our method was applied to a meta-analysis of the Stroop interference task using data provided by the publicly accessible database BrainMap DBJ.

Brain↗