Magnetic Platinum–Cobalt Nanoparticles as Peroxidase Mimics for Detection of Cancer Biomarkers
Bibliographic record
Abstract
Inorganic nanomaterial-based peroxidase mimics have recently emerged as promising alternatives to natural peroxidases for enhancing the detection sensitivity of bioassays, such as enzyme-linked immunosorbent assay (ELISA). Among them, magnetically active peroxidase mimics are particularly advantageous due to their ability to facilitate efficient separation and enrichment of target analytes. However, most reported magnetic peroxidase mimics suffer from limited catalytic efficiency and stability. In this study, we introduce platinum–cobalt nanoparticles (Pt–Co NPs) as an innovative class of magnetically active peroxidase mimics. These Pt–Co NPs exhibit significantly enhanced catalytic activity and outstanding stability over a wide pH range and at elevated temperatures, outperforming conventional Fe 3 O 4 -based magnetic peroxidase mimics. Integrated into an ELISA platform, the Pt–Co NPs enabled sensitive detection of two different cancer biomarkers, achieving picogram-per-milliliter detection limits and streamlined assay procedures. The clinical application of the Pt–Co NP-based ELISA was further validated by the successful detection of biomarkers in human serum samples.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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".