Toward the development of optical nucleic acid biosensors based on TIRF and TCSPC for high sensitivity determinations
Bibliographic record
Abstract
The results of preliminary investigations toward the design of an optical biosensor instrument for the selective and direct analysis of low copy numbers of target nucleic acids in native form are reported. A concept development prototype was constructed based on a total internal reflection fluorescence (TIRF) configuration and the use of time correlated single photon counting (TCSPC). Selective detection of interfacial hybrid formation was done by identification of luminescence of characteristic (20ns) lifetime from the intercalant fluorophore ethidium bromide associated with nucleic acid hybrids formed at the interaction surface of optical sensor elements. Results of these investigations suggest that detection limits on the order of 107 dye:dsDNA complexes can be achieved when an effective sensor interaction surface of 150 µm diameter is used. The presence of interfacial nucleic acid duplexes at a sensor surface was further verified by thermal denaturation studies. The sensitivity of this concept design prototype was found to be most limited by long lifetime fluorescence intrinsic to the detection optics in conjunction with large amounts of scatter dispersed from the sensor cartridge. Future directions for continued device development are discussed.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 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".