| --- |
| title: Uric-Acid Colorimetric Concentration Predictor |
| emoji: 🧪 |
| colorFrom: blue |
| colorTo: green |
| sdk: gradio |
| sdk_version: 5.9.1 |
| python_version: "3.11" |
| app_file: app.py |
| pinned: false |
| license: mit |
| --- |
| |
| # Uric-Acid Colorimetric Concentration Predictor |
|
|
| Interactive demo for the smartphone-based colorimetric uric-acid (UA) biosensor |
| built on a bimetallic Ag–Cu micro-flower (Ag-Cu-MF) nanozyme + TMB chemistry. |
|
|
| Enter the **R, G, B** of an oxidised-TMB reaction well and the **buffer**; if you |
| have the same phone's **blank** (0 μM) reading, enable *Use per-device blank* for |
| best accuracy. Four models predict UA concentration in parallel and the **ANN** |
| released with the manuscript is highlighted. |
|
|
| ## Models |
|
|
| | Model | Description | Held-out R² | RMSE (μM) | |
| |---|---|---|---| |
| | Linear (raw RGB) | per-buffer OLS on R, G, B | 0.587 | 128.5 | |
| | Linear (ΔRGB) | per-buffer OLS on ΔR, ΔG, ΔB | 0.722 | 105.4 | |
| | Random Forest | 500 trees, depth 10, all features | 0.893 | 65.3 | |
| | **ANN (this work)** | 5-seed MLP-Wide-Reg [128, 64] ensemble | **0.874** | **70.9** | |
|
|
| Metrics are the published values on the 28-sample held-out fold (one random |
| replicate per buffer × concentration cell). ΔRGB = blank − measurement, computed |
| per device. Features are R, G, B, ΔR, ΔG, ΔB plus a 4-D one-hot buffer code. |
|
|
| ## Files |
| - `app.py` — Gradio interface |
| - `model.pt` — 5-seed ANN ensemble + fitted scaler |
| - `rf_model.pkl` — Random Forest reference |
| - `baselines_linear.json` — per-buffer linear coefficients (raw RGB and ΔRGB) |
| - `mean_blanks.json` — cohort-mean blank RGB per buffer (fallback) |
| - `inference.py` — standalone (non-UI) inference helper |
|
|
| ## Caveats |
| - Trained on a single Ag-Cu-MF + TMB chemistry, four buffers, six phones. |
| - Predictions are clamped at 0 μM and are most reliable within 0–600 μM. |
| - Mean-blank fallback is approximate for devices far from the training cohort. |
| - Research use only; **not a medical device**. |
|
|
