Optimization of a spray drying process for flaxseed gum
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 Spray drying of flaxseed gum was optimized using response surface methodology (RSM). Water seed ratio (7–20), feed temperature (25–100 °C) and outlet temperature (60–110 °C) were the factors investigated with respect to yield, rheological characteristics (apparent viscosity, dynamic viscosity, storage G′ and loss G″ moduli), colour and cyanogenic glycoside contents of the spray-dried flaxseed gum. Optimization of the spray drying process was performed to achieve maximum yield and functionality (rheological properties) of flaxseed gum. Water : seed ratio and outlet temperature were the two major factors affecting the response variables of the gum. The highest yield of spray dried flaxseed gum was obtained at a water : seed ratio of approximately 18 L kg−1. Optimization for high yield led to the production of gums with low viscosities. Maximum stationary points for gum yield and minimum stationary point for rheological characteristics were observed at relatively high water : seed ratio (˜18), combined with moderate inlet feed temperature (61.7 °C) and high outlet temperature (92 °C).
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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