In vitro attachment of human gingival fibroblasts to endosseous implant materials

In recent years, the focus of dental implant research has been the nature of the bone-implant interface associated with osseointegration, yet the transgingival portion of endosseous dental implants has received little attention. The purpose of this study was to determine the attachment of human gingival fibroblasts to three different implant materials: commercially pure titanium, non-porous hydroxyapatite, and porous hydroxyapatite. Cell attachment was quantified by radiolabeling gingival fibroblasts with tritiated thymidine and counting attached cells by liquid scintillation following incubation for periods of 20, 40, and 60 minutes. Additional studies coating implant surfaces with fibronectin were also performed. The nature of the implant material itself appeared to affect the number of attached cells. Determined on a surface area basis, fibroblast attachment was greatest to titanium followed by non-porous hydroxyapatite. Porous hydroxyapatite demonstrated the least amount of fibroblast attachment. When incubated with fibronectin at a concentration of 50 micrograms/ml, no increase in the number of cells attached to the various implant materials was observed. A small but statistically significant increase in the number of fibroblasts attached to porous hydroxyapatite at 40 minutes was observed when implant materials were pre-treated with fibronectin.     

Authentication of tequila by gas chromatography and stable isotope ratio analyses

Gas chromatographic (GC) determination of volatile constituents and isotope ratio mass spectrometry (IRMS) analysis of ¹³C/¹²C isotope ratios as well as SNIF-NMR analysis of (D/H)-ratios of ethanol in authentic (n=12) and commercial tequila samples (n=13) were used to differentiate analytically between tequila derived from 100% agave (Agave tequilana Weber var. Azul) and tequila produced with other fermentable sugars ('mixed' tequila). Evaluating the correlation of methanol and 2-/3-methyl-1-butanol concentrations, GC analysis was found to be a suitable method for the authenticity assessment of '100% agave' and 'mixed' tequilas. Additional determinations of ¹³C_VPDB and (D/H) ratios of ethanol were used to show the perspectives and limits of the methods.     

Multielement stable isotope ratios (H,C, N,S) of honey from different European regions

The aim of this study as a part of the food traceability project “TRACE” funded by the EU was to investigate if honeys produced in regions with different climatic and geological characteristics could be discriminated on the basis of the isotopic data. The hydrogen, carbon, nitrogen and sulphur stable isotope ratios of 516 authentic honeys from 20 European regions are presented and discussed. As honey contains only small quantities of nitrogen and sulphur, the honey protein was precipitated in order to obtain measurable amounts of these elements. The mean hydrogen isotopic ratios of the honey protein were found to be significantly correlated with the mean hydrogen isotopic ratios of precipitation and groundwater in the production regions. Carbon isotopic ratios were influenced by climate. The sulphur stable isotope composition is clearly influenced by geographical location (sea spray effect) and surface geology of the production regions. The results show that the stable isotope ratios of the four bio-elements carbon, nitrogen, hydrogen and sulphur in honey protein can be applied to verify the origin of honey. Carbon and sulphur were identified by canonical discriminant analysis as providing the maximum discrimination between honey samples. For seven regions the percentage of correct classified samples is greater than 70%. It was concluded that the methodology in its current state can be used to provide reliable origin information.     

Macromolecular electron density averaging on distributed memory MIMD systems

The paper discusses algorithms and programs for electron density averaging using a distributed memory MIMD system. Electron density averaging is a computationally intensive step needed for phase refinement and extension in the computation of the 3-D structure of macromolecules like proteins and viruses. The determination of a single structure may require thousands of hours of CPU time for traditional supercomputers. The approach discussed in this paper leads to a reduction by one to two orders of magnitude of the computing time. The program runs on an Intel iPSC/860 and on the Touchstone Delta system and uses a user controlled shared virtual memory and a dynamic load-balancing mechanism.