Proximal Bacterial Lysis and Detection in Nanoliter Wells Using Electrochemistry
Bibliographic record
Abstract
Rapid and direct genetic analysis of low numbers of bacteria using chip-based sensors is limited by the slow diffusion of mRNA molecules. Long incubation times are required in dilute solutions in order to collect a sufficient number of molecules at the sensor surface to generate a detectable signal. To overcome this barrier here we present an integrated device that leverages electrochemistry-driven lysis less than 50 μm away from electrochemical nucleic acid sensors to overcome this barrier. Released intracellular mRNA can diffuse the short distance to the sensors within minutes, enabling rapid and sensitive detection. We validate this strategy through direct lysis and detection of E. coli mRNA at concentrations as low as 0.4 CFU/μL in 2 min, a clinically relevant combination of speed and sensitivity for a sample-to-answer molecular analysis approach.
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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".