SERS Detection of Hg<sup>2+</sup> using Rhenium Carbonyl Labelled Nanoparticle Films
Bibliographic record
Abstract
Abstract Modified silver nanoparticles with a self‐assembled disulfide functionalized 2,2'‐bipyridine (L1 and L2) monolayer, and the corresponding rhenium complex [Re(L2)(CO) 3 Br] are shown to provide a method to position the nanoparticles at a water/dichloromethane interface forming a lustrous metal‐like‐liquid film (MeLLF) with a unique SERS response. The film formed using L2 showed divergent behaviour in the presence of a range of metal ions whilst bound to the surface. [Re(L)(CO) 3 Br] (where L=2,2'‐bipyridine, L1 and L2) in solution demonstrates a selective interaction with Hg 2+ , observed by UV‐vis, emission and 1 H NMR spectroscopy, attributed to abstraction of the bromide. This interaction was demonstrated by subtle changes in the characteristic Raman Re‐CO stretch at 510 cm −1 both with the MeLLF, and when the film is immobilized in a PVA surface‐exposed‐nano‐sheet (SENS). The work provides proof of concept that the organometallic complexes can be employed as “labels” to generate SERS‐active nanoparticle films that possess detection capabilities.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".