Bibliographic record
Abstract
Microbial biofilms located on the lumen surface of dental unit water lines have resulted in the persistent and widespread microbial contamination of the outflowing water. The aims of this study were to 1) evaluate the water quality delivered by dental units at the University of British Columbia 2) evaluate the effect of plating and incubation conditions on heterotrophic plate counts and 3) evaluate the effectiveness of marketed products in reducing microbial counts in water used for nonsurgical and surgical dental procedures. Over a 12 week period, water samples were collected weekly from the air/water lines, highspeed lines and sinks (controls) of 8 randomly chosen dental units used for nonsurgical dental procedures. Following serial dilutions, samples were plated on R 2A agar using the spread plate technique, and incubated aerobically at 35°C for 7 days. Individual colonies that were isolated were characterized based on colony morphology, Gram stain and oxidase test results. Representative samples of dental tubing water lines were subsequently processed for scanning electron microscopy (SEM) and evaluated for the presence of biofilm. In order to determine the effect of culture conditions on heterotrophic plate counts, different culture media, plating techniques, incubation time and temperature and chlorine neutralization were evaluated. In addition, devices such as in-line filters, independent water reservoirs, chemical disinfection and fully autoclavable systems were evaluated for their effectiveness at reducing the heterotrophic plate counts. Scanning electron microscopy was used to visualize the surface of in-line filters after several minutes of use, and to determine if 0.12% chlorhexidine injected in post filter tubing was able to prevent biofilm formation. The results of these studies revealed that while all water samples collected from the cold water sink taps met the standards for potable water, water collected from the warm water sink taps, the air/water lines and the highspeed lines revealed extremely high heterotrophic plate counts and failed to meet the potable water standards in all but two instances. Although the plating techniques analyzed did not differ significantly, the incubation conditions had very significant effects on heterotrophic plate counts and dramatically affected the number of units that failed to meet potable water standards. The evaluation of products which are currently being marketed as effective ways to improve dental unit water line quality appear promising, however, aspects of their design may still leave concerns for some practitioners.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".