Smartphone-Aided Colorimetric Assay: Enhanced Peroxidase Mimicking Activity of Quasi Cube-Like 2D-Co-MOF/CN Label-Free Nanozyme for Selective/Visual Recognition of 4,4′-(propane-2,2-diyl)diphenol
Bibliographic record
Abstract
To ensure environmental safety, it is essential to monitor bisphenol A (BPA), as it poses health hazards. In this study, we report a novel, sustainable binary 2D Co-MOF/CN nanozyme that functions as a bipurpose material with both peroxidase-mimic activity and BPA-specific detection capability. The Co 2+ sites and sp 2 hybridized carbon demonstrate remarkable Fenton-like reactions, effectively promoting the transformation of 4,4′-diamino-3,3′,5,5′-tetramethylbiphenyl (TMB) into oxidized TMB. The Co 2+ sites in the binary 2D-Co-MOF/CN facilitate the capture of BPA via cobalt–O–H bonding and electrostatic interactions, hence restricting the transfer of e – between 2D-Co-MOF/CN and hydrogen peroxide. Thus, TMB oxidation diminishes and alters the color from a strong blue to pale color, allowing for a visual detection of BPA. A robust linear association has been established between the BPA concentration and the absorbance intensity (λ abs = 652 nm), with a detection limit of 2.1 nM. These limitations are far lower than the European Commission Environment (ECE) criteria. The system was further integrated into a smartphone-assisted platform using RGB color analysis for real-time on-site BPA monitoring. This demonstrated an efficient selectivity and efficacy with actual water samples. This research introduces a novel colorimetric and smartphone-adaptable innovative sensing platform for the visual detection of BPA using a multifunctional nanozyme. The multifunctional nanozyme not only enhances detection performance but also supports portable, green, and cost-effective monitoring strategies for practical environmental applications.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".