Characterization of Oil Droplets under a Polymer Film by Laser Scanning Confocal Fluorescence Microscopy
Bibliographic record
Abstract
We studied the wetting behavior of thin oil films on quartz and poly(ethylene terephthalate) (PET) substrates before and after being coated with a polymer colloidal dispersion. The triolein oil was doped with a trace of a fluorescent dye, and the films were prepared by casting a dilute solution of dyed triolein in acetone onto the substrates. The films were then observed by laser scanning confocal fluorescence microscopy (LSCFM). On quartz, triolein breaks up into approximately spherical, micrometer-sized droplets as the acetone evaporates. The oil droplets were coated with a water dispersion of a film-forming latex dispersion of poly(butyl methacrylate) (PBMA). Most of the droplets adhered to the quartz substrate as the water evaporates. With LSCFM, we could image the triolein droplets under the transparent polymer latex film. These had larger volumes than those formed in air, and their micro-contact angle increased from 〈θ〉 = (32 ± 5)° at the quartz−air interface to 〈θ〉 = (71 ± 4)° at the quartz−PBMA interface. When deposited on PET, the triolein wets the substrate surface and forms an almost homogeneous film. Upon coating with a PBMA latex film, we observed some dewetting of the oil from the PET substrate, and the micro-contact angle of the oil increased from 〈θ〉 = (8 ± 4)° at the PET−air interface to 〈θ〉 = (18 ± 5)° at the PET−PBMA interface.
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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) | 0.006 | 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".