<i>In situ</i> analytical characterization and chemical imaging of tablet coatings using laser induced breakdown spectroscopy (LIBS)
Bibliographic record
Abstract
Laser induced breakdown spectroscopy (LIBS) has emerged as an innovative tool for quantitative and qualitative elemental analysis in pharmaceutical research. Herein, the potential use of LIBS for rapid characterization of tablet coatings is illustrated, including the investigation of coating thickness, coating uniformity and localized coating contamination. The laser shot number required for penetrating the coating correlates well with coating thickness determined from traditional scanning electron microscopy measurements. Each laser shot represents a 2.58 μm coating thickness. The inter-tablet coating uniformity was directly visualized using LIBS-based 3D chemical imaging, and the intra-tablet coating uniformity was quantitatively investigated. To our knowledge, this is the first report of 3D LIBS-based chemical imaging being utilized for quantitative analysis of pharmaceutical tablet coatings. In addition to elemental information, the accurate location of contaminants on the tablet coating was rapidly identified using 2D imaging. These results pave the way for LIBS to be a valuable technique for the analysis of pharmaceutical tablet coatings.
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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".