Surface-Enhanced Raman Spectroscopy Using Lipid Encapsulated Plasmonic Nanoparticles and J-Aggregates To Create Locally Enhanced Electric Fields
Bibliographic record
Abstract
Semiconductor–metal composite nanoparticles offer optical properties that are superior to those of pure materials. In this study, we exploit the epsilon near zero (ENZ) phenomenon using silver nanoparticles functionalized with a thiacyanine dye, which formed a distinct J-aggregate on the surface of the particle. These J-aggregates show a distinct nonlinear optical response, and a wavelength matching approach was used to couple the plasmonic particle to the J-aggregate . When the appropriate wavelength is utilized, these particles showed an enhanced surface-enhanced Raman spectroscopy (SERS) signal as a result of the excitonic resonance of the J-aggregate species. The theoretical properties of the particles were simulated using FDTD techniques, and these were experimentally verified by varying the distance between the dye and particle surface. Experimental SERS spectra had excellent agreement with simulations. These composite particles were then encapsulated in a lipid bilayer, forming a multishell structure with properties suitable for biosensing and other detection 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 | 0.000 | 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 | 0.000 | 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".