Room-Temperature Synthesis of Size-Uniform Polystyrene Latex and Characterization of Its Properties: Third-Year Undergraduate Teaching Lab
Bibliographic record
Abstract
Teaching emulsion polymerization is an important benchmark in undergraduate polymer courses. However, the introduction of hands-on experiments in undergraduate polymer laboratories is challenging: experimental time, reagents, and equipment involved are the primary restraints. We report a practical emulsion polymerization laboratory experiment for undergraduate students that includes the synthesis of polystyrene (PS) latex and exposure to multiple methods of characterization. Using a room-temperature redox initiation system of ascorbic acid (vitamin C) and hydrogen peroxide, and scaling the reaction down to ca. 10 mL, simplifies stirring and degassing and alleviates the aforementioned challenges. To prepare latex samples with different sizes and low size dispersity, students explore an effect of a steric stabilizer (polyvinylpyrrolidone, PVP). For effective time management, students perform characterization of previously prepared latex, while qualitatively and quantitatively monitoring particle growth during polymerization stages. Latex characterization performed by students includes measurements of average particle size and zeta potential, estimating conversion and preparation of latex films with determination of glass transition temperature ( T g ). Other characterization methods that can be incorporated in the extended experiments include electron microscopy, atomic force microscopy, and other techniques of colloidal and polymer characterization. Additionally, the prepared latex is able to form colloidal photonic crystal films, enabling size evaluation by color or UV–vis measurements, where selective reflection of blue, green, and red corresponds to latex with particle diameters of 185, 240, and 300 nm, respectively. On the basis of the lab evaluation survey, students performing the experiment have an overall positive learning experience with 94% satisfaction rate.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.004 |
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".