PubMed Health⌕ Search

PubMed · 12633517

Measuring flavonoid intake: need for advanced tools.

Abstract

OBJECTIVE: Flavonoids are phytochemicals with potentially beneficial biological effects that are poorly characterised in existing tables of food composition. DESIGN: To describe new techniques for analysis, absorption, informatics and dietary assessment that are important in measuring the flavonoid content in foods and in developing a flavonoid food composition database. SETTING: Data on chemical analyses of the major flavonoid compounds that exist in the food science literature are being located, collated and compiled into a preliminary flavonoid food composition database. RESULTS: The analytical process begins with preparation of the food for flavonoid analysis using techniques to disrupt the food matrix, alcoholic extraction, and enzymatic or acidic hydrolysis to remove sugars. Separation is usually accomplished using high-performance liquid chromatography. Flavonoids are identified by diode array spectrometry, mass spectrometry or nuclear magnetic resonance spectroscopy. Quantification usually employs comparison of the sample with standards, if available, using the area under the curve of the chromatogram to estimate quantity. Absorption studies are useful since flavonoids vary in their absorption. Finally, information management technologies (informatics) are used to translate flavonoid data information into food composition databases. This process involves identification of foods containing the compounds of interest, collection and organisation of sources of existing analytical data, assignment of quality scores or aggregation of acceptable data for each component and food, calculation of appropriate statistics, assignment of food codes and verification, and finalization. The resulting food flavonoid database can be used with state-of-the-art dietary assessment methods to develop estimates of flavonoid intakes in foods and to correlate these with estimates of disease risk. CONCLUSIONS: A provisional flavonoid database, including at least two components from each of six classes of flavonoids, should be completed in 2002.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Johanna T Dwyer, Julia J Peterson. 2002. Measuring flavonoid intake: need for advanced tools.. https://doi.org/10.1079/phn2002373

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Performance of the FearID earprint identification system.

The Forensic Ear Identification (FearID) research project was started in order to study the strength of evidence of earprints found on crime scenes. For this purpose, a sample of earprints from 1229 donors over three countries was collected. From each donor three left and three right earprints were gathered. On the one hand, operators denoted contours of the earprints to facilitate segmentation of the images, on the other anthropological specialists denoted anatomically specific locations. On the basis of this, methods for automated classification were developed and used for training of a system that classifies pairs of prints as 'matching' or 'non-matching'. Comparing lab quality prints, the system has an equal error rate of 4%. Starting from a reference database containing two prints per ear, hitlist behaviour is such that in 90% of all query searches the best hit is in the top 0.1% of the list. The results become less favourable (equal error rate of 9%) for print/mark comparisons.

Databases, Factual↗

Normal limits of ejection fraction and volumes determined by gated SPECT in clinically normal patients without cardiac events: a study based on the J-ACCESS database.

PURPOSE: Quantitative gated single-photon emission computed tomography (SPECT) is known to have high accuracy and precision for measurement of the principal cardiac functional parameters. We hypothesised that normal values for EF and LV volumes may differ among nationalities, and that optimal threshold values specific to the study population are required. METHODS: Among 4,670 consecutively registered patients for a J-ACCESS (Japanese investigation regarding prognosis based on gated SPECT) study from 117 hospitals, a total of 268 (149 women, 119 men) were selected who had no baseline cardiac diseases and had experienced no cardiac events during the preceding 3-year period. A gated SPECT study was performed with 99mTc-tetrofosmin and analysed with Cedars Sinai Medical Center's quantitative gated SPECT (QGS) software. The results in respect of ejection fraction (EF), end-diastolic volume (EDV), end-systolic volume (ESV) and stroke volume (SV), and EDV, ESV and SV normalised by body surface area (EDVI, ESVI and SVI), were calculated and summarised to obtain normal limits. RESULTS: EF for women and men was 74 +/- 9% and 63 +/- 7%, respectively (p < 0.0001). EDV, ESV and SV were significantly smaller in women than in men. Based on multiple regressions for linear models, the primary and secondary predictors of EF, EDVI, ESVI were gender and age. By stepwise multiple regression analysis, a statistically significant third predictor for EDV, ESV, SV and SVI was body weight. No colinearity was found between age and body weight. Important factors for the studied Japanese population included a high incidence of small hearts in women and the relatively advanced age of the population (the mean age +/-SD was 64.1 +/- 10.0 years for women and 60.9 +/- 11.7 years for men). CONCLUSION: EF and volumes determined by gated SPECT with QGS were significantly affected by gender and age, with body weight as a third predictor for volumes. Moreover, the normal limits were so specific for the population studied that standards appropriate for the study in question should be utilised.

Databases, Factual↗