Evaluation of a rapid microbial detection method via phage lytic amplification assay coupled with Live/Dead fluorochromic stains
Bibliographic record
Abstract
AIMS: To develop a method for rapid detection of bacteria via bacteriophage amplification coupled with exogenous fluorochromic stains. METHODS AND RESULTS: A method for the rapid detection of bacteria was developed which consisted of exposing the sample suspected to contain target cells to host-specific phage. After at least one infection cycle, bacteria known to be infected by the phage (helper cells) were added and the number of nascent phage particles was estimated using the Live/Dead BacLight Bacterial Viability kit. Using Pseudomonas aeruginosa, it was shown that the dead helper cell population following phage infection was proportional to the initial number of target cells present in the original sample. Approximately 1 x 10(1) CFU per ml of P. aeruginosa could be detected within 4 h without the need for enrichment. CONCLUSIONS: The phage lytic amplification assay coupled with exogenous fluorochromic stains was able to detect approx. 1 x 10(1) CFU per ml of the target bacterium within 4 h. SIGNIFICANCE AND IMPACT OF THE STUDY: A method to detect low number of bacterial cells in a sample within 4 h without the need for enrichment was developed.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".