Biomedical subjects

Mohamed E Labib

Publications and source records attributed to Mohamed E Labib.

3 recordsLinked to original sources

PubMed2004

Discrepancies in bacterial recovery from dental unit water samples on R2A medium and a commercial sampling device.

Monitoring the number of bacterial colony-forming units is an important step in assuring compliance with the recommendation that water from dental units contain <200 CFU mL(-1). Media that have been used for this purpose include R2A, a standard plate counting medium for water samples, and the Millipore HPC Sampler device, designed to facilitate sampling in dental offices. Discrepancies between the two media have been observed. This study tested the hypothesis that differences in counts on the two media were due to the failure of some bacteria to grow on the HPC sampler or to grow at less efficiency than on R2A. Of four different bacterial colony phenotypes tested in three independent experimental trials, one phenotype did not grow on the HPC device, and another grew inconsistently and at lower efficiency. These results confirmed the hypothesis. From these findings, users of the HPC sampler should be aware that microbial undercounts may occur.

Bacteria↗

PubMed2004

A GIS-based multimedia watershed model: development and application.

A multimedia model was developed using publicly available geographical information system (GIS) data, chemical release information and local monitoring networks to assess the fate of trichloroethene (TCE) within the Passaic River Watershed. Seven environmental media, air, water, sediment, surface soil, terrestrial vegetation, root zone soil and vadose zone soil, were modeled in this study along with their sub-compartments. The Passaic River Watershed is described using the NJDEP geographical information system (GIS) resources, the United States Geological Survey (USGS) and the United States Soil Conservation Services (US SCS) soil data. The introduction of spatial resolution to a multimedia, unsteady state model is performed in this work, and represents an important step in expanding the use of equilibrium models to provide far reaching information on the fate of toxic contaminants within a given environmental unit. The spatial representation of cross-boundary fluxes was successfully demonstrated with the use of sub-watershed as an environmental unit and the direct assessment of TCE for each of the 11 sub-watersheds that make up the Passaic River Basin in northern New Jersey. Important data gaps identified during the development of this model include the lack of comprehensive monitoring data on organic contaminants, and non-uniformity among available physical environmental data from different government agencies.

Air↗

PubMed2003

Microbial diversity of biofilms in dental unit water systems.

We investigated the microbial diversity of biofilms found in dental unit water systems (DUWS) by three methods. The first was microscopic examination by scanning electron microscopy (SEM), acridine orange staining, and fluorescent in situ hybridization (FISH). Most bacteria present in the biofilm were viable. FISH detected the beta and gamma, but not the alpha, subclasses of Proteobacteria: In the second method, 55 cultivated biofilm isolates were identified with the Biolog system, fatty acid analysis, and 16S ribosomal DNA (rDNA) sequencing. Only 16S identified all 55 isolates, which represented 13 genera. The most common organisms, as shown by analyses of 16S rDNA, belonged to the genera Afipia (28%) and Sphingomonas (16%). The third method was a culture-independent direct amplification and sequencing of 165 subclones from community biofilm 16S rDNA. This method revealed 40 genera: the most common ones included Leptospira (20%), Sphingomonas (14%), Bacillus (7%), Escherichia (6%), Geobacter (5%), and Pseudomonas (5%). Some of these organisms may be opportunistic pathogens. Our results have demonstrated that a biofilm in a health care setting may harbor a vast diversity of organisms. The results also reflect the limitations of culture-based techniques to detect and identify bacteria. Although this is the greatest diversity reported in DUWS biofilms, other genera may have been missed. Using a technique based on jackknife subsampling, we projected that a 25-fold increase in the number of subclones sequenced would approximately double the number of genera observed, reflecting the richness and high diversity of microbial communities in these biofilms.

Acridine Orange↗