<scp>4D</scp> printing of mixed vegetable gel based on deformation and discoloration induced by acidification and dehydration
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
Abstract This research was aimed at exploring the feasibility of 4D printing of Chinese cabbage puree–carrot powder–xanthan gum mixed gel system using white vinegar and hot air dehydration (HAD) as stimuli to realize double change of shape and color. Firstly, 4D printability of five mixed vegetable gels (MVG) were characterized by water distribution and rheological properties. The results showed that apparent viscosity, G ′, G ″, G * and yield stress were positively related to carrot powder content, while transverse relaxation time ( T 2 ) were negatively related to it. Next, the formula with 15% carrot powder content was chosen as printing ink due to its better 4D printing behavior. The results showed that bending angle reached the maximum (371.01°) at 210 min, and initial green color completely turned brown at 120 min. Finally, complex models such as butterfly and four‐petal flowers were further applied to verify the feasibility of this 4D food printing. Practical Applications This study provides a simple but innovative method for simultaneous deformation and discoloration of 3D printed objects. These procedures would allow chlorophyll‐rich vegetarian dishes show deformation and discoloration before consumption for added interest.
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.
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) | 0.000 | 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