Towards an early diagnosis of HIV infection: an electrochemical approach for detection ofHIV-1 reverse transcriptase enzyme
Bibliographic record
Abstract
Oriented for the rapid diagnosis of HIV infection, highly sensitive and facile electrochemical assays for HIV-1 reverse transcriptase (HIV1-RT) are presented in this article. A non-labeled and a labeled assay format were based on the formation of self-assembled monolayers (SAMs) of either lipoic acid active ester or a newly synthesized ferrocene (Fc)-labeled cystamine derivative on electrode surfaces, respectively. A short RT-specific peptide, VEAIIRILQQLLFIH, was covalently attached to the surface of the formed SAMs. Electrochemical impedance spectroscopy (EIS) allowed a sensitive interrogation of RT in the non-labeled assay format. Furthermore, square wave voltammetry (SWV) offered a two-dimensional measurement of RT based on the anodic shift and reduction of current density of the Fc redox signal upon binding of RT to its specific peptide. These techniques allowed a linear quantification of the target RT in the range of 75 to 750 pg mL(-1), with a limit of detection of 50 pg mL(-1). Furthermore, the developed biosensors showed a good specificity and allowed a proper discrimination between RT and other HIV enzymes.
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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".