Colloidosomes from Peroxidized Pickering Emulsions
Bibliographic record
Abstract
A new approach to synthesis of cross-linked colloidosomes (microcapsules with a shell from colloidal particles) was developed on the basis of a peroxidized Pickering emulsion (an emulsion stabilized exclusively by peroxidized colloidal particles).Peroxidized latex particles were employed to ensure formation of Pickering emulsion.Free radical polymerization was used to convert droplets of a peroxidized Pickering emulsion into colloidosomes (soft template technique).The peroxidized latex particles were synthesized with the use of amphiphilic polyperoxide copolymer poly [N-(t-butylperoxymethyl) acrylamide]-co-maleic anhydride (PM-MA)applied as both initiator and surfactant (inisurf) in the emulsion polymerization process.The polymerization results in latexes with a controllable amount of peroxide and carboxyl groups (both derived from PM-MA macromolecules) at the particle surface.It was demonstrated that the structure of the synthesized (using peroxidized latex particles) colloidosomes depends on the amount of functional groups and pH during the synthesis.Thus, the size and morphology of colloidosomes can be controlled by latex particle surface properties.
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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 | 0.000 | 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 | 0.001 |
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".