Sequential Reagent Release from a Layered Tablet for Multistep Diagnostic Assays
Bibliographic record
Abstract
Diagnostic assays are commonly performed in multiple steps, where reagents are added at specific times and concentrations into a reaction chamber. The reagents require storage, preparation, and addition in the correct sequence and amount. These steps rely on trained technicians and instrumentation to perform each task. The reliance on such resources hinders the use of these diagnostic assays by lay users. We developed a tablet that can sequentially introduce prequantified lyophilized diagnostic reagents at specific time points for a multistep assay. We designed the tablet to have multiple layers using cellulose-grade polymers, such as microcrystalline cellulose and hydroxypropyl cellulose. Our formulation allows each layer to dissolve at a controlled rate to introduce reagents into the solution sequentially. The release rate is controlled by modulating the compression force or chemical formulation of the layer. Controlling the reagent release time is important because different assays have specific times when reagents need to be added. As proof of concept, we demonstrated two different assays with our tablet system. Our tablet detected nucleic acid target (tpp47 gene from Treponema pallidum) and nitrite ions in an aqueous sample without user intervention. Our multilayer tablets can simplify multistep assay processes.
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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) | 0.002 | 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".