Electrochemical detection of Legionella pneumophila using DNAzymes and under continuous flow in cooling tower water
Bibliographic record
Abstract
Rapid detection of Legionella pneumophila in cooling tower water is crucial to mitigate the fatal consequences of Legionnaires disease. This study presents a microfluidic system that employs RNA-cleaving DNAzymes (RCDs) for continuous real time monitoring of this pathogen directly in a single sample of cooling tower water without the need for lengthy bacterial culture. The RCDs, coupled to microgel magnetic beads, are programmed to release an electroactive DNA barcode in the presence of L. pneumophila , which is detected by a downstream electrochemical sensor in real time. Our system identifies key parameters such as peak current, slope of signal increase, and lag time that correlate with L. pneumophila concentration, achieving a limit of detection of 1.4 × 10 3 CFU/mL in buffer and 1.9 × 10 3 CFU/mL in cooling tower water, meeting regulatory requirements. This system was further used to identify different serotypes of L. pneumophila amongst other waterborne bacterial species including non pneumophila species of Legionella , creating a highly specific tool for identifying this high-risk pathogen.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".