Characterization of Low-Temperature Cofired Ceramic Tiles as Platforms for Gas Chromatographic Separations
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Bibliographic record
Abstract
A gas chromatography (GC) column is fabricated within a low-temperature cofired ceramic (LTCC) tile, and its analytical properties are characterized. By using a dual-spiral design, a 100 μm wide square channel up to 15 m in length is produced within an 11 cm × 5.5 cm LTCC tile. The channel is dynamically coated with an OV-101 stationary phase that is cross-linked with dicumyl peroxide. While the uncoated LTCC tiles were able to separate a mixture of n-alkanes, the peak shapes were broad (base width of ~2 min) and tailing. In contrast to this, the coated LTCC tiles produced sharp (base width of ~8-10 s), symmetrical, well-resolved peaks for the same analytes. By using a 7.5 m long channel, about 15,000 plates were obtained for a dodecane test analyte. Further, the coated LTCC tiles were found to produce plate heights that were about 3-fold smaller than those obtained from a conventional capillary GC column of similar length, dimension, and coating operated under the same conditions. As a result, test analyte separations were slightly improved in the LTCC tiles, and their overall performance fared well. In terms of temperature programming, it was found that a series of n-alkanes separated on the LTCC tile provided a cumulative peak capacity of around 54 peaks when using C₈ to C₁₃ as analyte markers. Results indicate that LTCC tiles provide a viable and useful alternative platform for performing good quality GC separations.
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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) | 0.001 | 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 it