Fabrication of a Gold Nanostar - Embedded Porous Poly(dimethylsiloxan) Platform for Sensing Applications
Bibliographic record
Abstract
Porous poly(dimethylsiloxan) (PDMS) membranes have been fabricated by using sodium bicarbonate powder and polystyrene microspheres to generate the pores. Large gold nanostars (AuNSs) have been synthesized by a one-pot surfactant-free method by using gold seeds, and the stars have been embedded into the porous material by immersing the samples in the nanostars’ (NSs) aqueous solution. Sensitivity tests performed with samples prepared with the two porogens demonstrated the very high sensitivity toward the surrounding environment of gold nanostars embedded into the polymer. The sensitivity is found to be in the range of 400-550 nm/RIU, compared to approximately only 100 nm/ refractive index unit (RIU) for PDMS with embedded nanospheres. Absorbance spectra of nanostars embedded in the polymer are simulated by using the Finite Difference Time Domain (FDTD) method. A good agreement is found between the calculated and experimental spectra.
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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) | 0.001 | 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".