Plasmonics‐Enhanced Characterization of Cervid <scp>PrP</scp> (87–114) Fragment Aggregates in Solution
Bibliographic record
Abstract
We performed a multimodal characterisation of self-assembled fibrillar aggregates formed by the residue 87-114 fragment of the white-tailed deer (WTD) prion protein (PrP), a disease-relevant region implicated in the structural conversion and transmission of chronic wasting disease (CWD) in cervids. Using an integrated experimental platform combining plasmon-enhanced bright-field microscopy, label-free surface-enhanced Raman spectroscopy (SERS), and Thioflavin T staining, we probed peptide aggregation in solution under ambient conditions. Nanostructured gold films on dielectric fused silica supports served as dual-purpose plasmonic substrates for imaging and SERS. We observed a transition from dispersed states to well-defined fibrillar networks, accompanied by spectral evolution in key backbone-sensitive SERS bands. These results establish the amide III region and tryptophan vibrational features as indicators of fibrillar architecture in SERS assays and offer new insights into the aggregation behavior of amyloidogenic sequences involved in CWD susceptibility.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 source (direct Gemma or distilled Codex), 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".