Thermally-Driven Micro-Walled Nano-Composite Microfluidic Platform for Controlled Localized Surface Plasmonic Detection of Bovine Growth Hormones
Bibliographic record
Abstract
A novel method of integration of a silver-polydimethylsiloxane (PDMS) nanocomposite in a microfluidic channel for the realization of a lab-on-a-chip is reported in this work. By using a silver nitrate aqueous precursor solution, silver nanostructures are formed on, and under the surface of PDMS, by in situ reduction. The silver aggregates formed by reduction have a wide absorbance plasmon band in the UV–Visible range. Separated silver nano-islands, having narrow absorbance bands are formed by using the post-reduction annealing process. The plasmonic property of the silver nanostructures is used for the detection of bovine growth hormone. Subsequently, the nanocomposite was integrated into a specially fabricated micro-wall in the channel which is the actual sensing area in the microfluidic environment. The experiments confirmed that the nanocomposite can be integrated into the microfluidic device in order to enhance the detection sensitivity.
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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".