Towards a Quantitative Colorimetric Gold Nanoparticle-Based Assay for Measuring ppm and Sub-ppm Aqueous Nitrite Levels
Bibliographic record
Abstract
Prior publications and work from our group have demonstrated a colorimetric assay coupling the Griess reaction with gold nanoparticle aggregation to detect the concentration of nitrites. However, a major disadvantage of this assay is it is slow and needs to be conducted at 95oC. This project takes a closer look at the mechanism of aggregation and lower the reaction temperature. The modifications allow the colorimetric measurement of nitrite concentrations exceeding 230 M (10 ppm) at room temperature, greater than 3 M (130 ppb) at 50oC, and potentially as low as about 0.05 M (2 ppb) at 95oC. This work sets the foundation for the development of an accurate, precise, inexpensive and portable nitrite measurement kit.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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; both teacher heads agree on what is shown here.
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".