Incorporation of Modified Regenerated Starch Nanoparticles in Emulsion Polymer Latexes
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Emulsion polymerization produces a water‐borne latex (without the use of solvents), and requires low catalyst concentrations to proceed, making it a more sustainable way to produce polymers than many alternatives. The addition of bio‐sourced materials to the formulation further increases sustainability. Vinyl functionalized regenerated starch nanoparticles (RSNPs) are used in semi‐batch emulsion polymerizations to prepare starch‐incorporated latexes with reduced synthetic polymer content. Nanoparticles with 3 wt% concentration of a polymerizable functionalized sugar‐based monomer (FSM) of medium hydrophobicity are incorporated with the polymer particles. Latexes with 15 wt% RSNP loading (dry RSNP/total solids) and 40 wt% total solids achieved an RSNP incorporation with the latex particles of up to 10 wt% of the total RSNPs added to the emulsion formulation, or 1.5 wt% of total solids. A modified RSNP feed strategy at higher loadings of 40 and 50 wt% results in 10 wt% incorporation of the total RSNPs, or 4 and 5 wt% of total solids, respectively. With RSNPs produced using a higher concentration of FSM (6 wt%), 20 wt% RSNP incorporation with the latex particles (8 wt% of total solids) is achieved at 40 wt% RSNP loading. Strategies are successfully developed to incorporate a certain amount of the RSNPs with the synthetic polymer particles at high overall RSNP loadings.
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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 | 0.001 | 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