Fabrication of Nano-Structured SPR Chip for Sensitivity Enhancement
Bibliographic record
Abstract
We used the Langmuir-Blodgett (LB) method for preparation of large area, defect-free monolayer silica particle film as a template for the fabrication of nano-structure Au pattern on a conventional Au substrate for Surface Plasmon Resonance (SPR). Well organized, trigonal pyramid shaped Au nano-structures were able to construct on 34 separate chips in one fabrication process. The dimensions of trigonal pyramid nano-structures were precisely controlled by changing the particle size of the silica LB template. The nano-structure Au patterned SPR chips provides the enhancement of sensitivity in SPR analysis. The sensitivity enhancement of nano-structure patterned chips was evaluated by comparison with conventional flat Au chips. The nano-structure patterned substrate demonstrated a sensitivity enhancement up to 120% compared to a conventional SPR chip when ethanol solution was used as an analyte.
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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".