Tuning the nanostructural properties of silver nanoparticles for optimised surface enhanced Raman scattering sensing of SARS CoV-2 spike protein
Bibliographic record
Abstract
Abstract In this work, development of fast, selective and highly sensitive sensor for detecting severe acute respiratory syndrome coronavirus 2 (known as SARS CoV-2 or COVID19) spike protein has been reported. Surface enhanced Raman spectroscopy (SERS) based direct detection of spike protein was investigated by fabricating silver nanoparticles decorated Si (AgNPs/Si) using a facile wet chemical process. Fabrication parameters such as immersion time and precursor concentration were varied; their corresponding morphological characteristics were well elucidated while assuring homogeneous decoration of AgNPs on Si substrate. Classical dye molecule such as rhodamine 6G (R6G) was utilised for the optimisation of fabricated sensor. Based on acquired intensity of R6G, the best sensor was selected, which was further employed for label free direction of spike protein. The developed sensor exhibited high sensitivity in pico-molar range with excellent reproducibility. Selectivity studies were demonstrated using DNA and H1N1 protein as well. The current findings will launch new state of art in the field of medical diagnostics.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.004 |
| 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".