Xylan derived carbon dots composite with cotton cellulose paper as fluorescence sensor for real time detection Cu2+
Bibliographic record
Abstract
Abstract Cotton cellulose paper composited with fluorescence carbon dots (CDs) has shown potential for Cu 2+ detection in environmental monitoring. In this study, a solid-state detection platform was developed using biomass-based fluorescent sensors ( CPU-CDs ) composed of xylan-derived CDs ( U-CDs ) and cotton cellulose paper. The fluorescence platform was nanoengineered to monitor Cu 2+ changes via spectral and colorimetric dual-modal methods. CPU-CDs exhibits reusability, non-toxicity, excellent fluorescence characteristics and biocompatibility. Besides, CPU-CDs has a complex network structure and a large number of hydroxyl and amino groups, which can realize a high loading rate of U-CDs and provide more binding sites for the detection and response of Cu 2+ . CPU-CDs displays high effectiveness and sensitivity for Cu 2+ . Additionally, the detection limit of CPU-CDs for Cu 2+ as low as 0.14 μM that was well below U.S. EPA safety levels (20 μM). Practical application indicated that CPU-CDs could achieve precision response of Cu 2+ change in water environment with recovery range of 90%-119%. This strategy demonstrated a promising biomass solid-state fluorescence sensor for Cu 2+ detection for water treatment research.
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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 | 0.002 | 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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".