Surface‐enhanced Raman scattering of thiram: Quantitative and theoretical analyses
Bibliographic record
Abstract
Abstract The development of strategies to monitor the applications of pesticides is of primary importance. In the present report, two aspects of the surface‐enhanced Raman scattering (SERS) effect of the fungicide thiram were investigated: quantitative analysis using the standard addition method and the thiram adsorption mechanism onto Ag nanostructures using theoretical approach. Experimentally, SERS intensity varies linearly from 1.0 × 10 −8 to 4.0 × 10 −7 mol/L with thiram concentration leading to a limit of detection of 1.2 × 10 −8 mol/L for the band at 560 cm −1 and 1.7 × 10 −9 mol/L for 1386 cm −1 . The loss of linearity (above 10 −6 mol/L) was associated with changes in the Ag colloid aggregation, also indicated by complementary analyses via UV‐Vis extinction spectroscopy, dynamic light scattering, and zeta potential. The differences in the spectral profiles observed for thiram Raman powder and SERS are ascribed to S–S cleavage, leading the degraded thiram adsorbing to Ag surface not only through S atoms but also through methyl groups.
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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 | 0.001 | 0.001 |
| 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".