Evaluation of the BacT/ALERT<sup>®</sup> 3D system for the implementation of in-house quality control sterility testing at Canadian Blood Services
Bibliographic record
Abstract
BACKGROUND: Until recently, Canadian Blood Services (CBS) was performing quality control sterility testing of blood components using three different processes. This study was conducted in order to standardize sterility testing at all CBS centers in a cost-effective manner using the BacT/ALERT 3D system. METHODS: Blood components including fresh frozen plasma, platelet concentrates, and red blood cells were inoculated with eight bacterial species at target concentrations of 1 and 10 CFU/mL. Pre- and post-spiked samples were inoculated into BacT/ALERT aerobic and anaerobic culture bottles and incubated for a maximum of 10 days. Specificity of the positive culture bottles was verified by Gram staining. Positive results obtained pre- and post-implementation of the in-house sterility testing program at CBS were collected and analyzed. RESULTS: The BacT/ALERT3D system detected all bacteria in all blood components tested in this validation. Positive cultures were obtained within 28 h of incubation with the exception of Propionibacterium acnes which was detected within 134 h. The percentage of positive cultures ranged from 0.01% to 0.2%. All contaminants isolated were either normal skin flora or environmental microorganisms. CONCLUSIONS: This study demonstrates the capability of the BacT/ALERT3D system to detect aerobic and anaerobic bacterial contamination in all tested blood components, thereby supporting its use for quality control sterility testing and not only bacterial screening. A standardized process will allow CBS to evaluate and compare blood collection and manufacturing practices across the country.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".