Development of appropriate technologies for double fortification of salt with iron and iodine
Bibliographic record
Abstract
Ferrous fumarate was successfully agglomerated by an extruder to produce hard, dense, highly bioavailable, iron premixes with pellet-size of 0.5mm in diameter and length. These were then completely colour-masked with white TiO2, and microencapsulated with 10%-28%(w/w) of soy steatrine and 0.5%-5.0%(w/w) of Methocel in a pan coater. Double fortified salts (DFS) were prepared by blending iron premixes with Nigerian iodated salt and stored for 3 months at 40°C and 60% relative humidity (RH) to determine their stability. After three-month storage, no adverse colour change was observed in DFS. In addition, nearly 100% of ferrous iron and total iron were retained in all samples. 81%, 89% and 99% of iodine was retained in DFS respectively prepared by uncoated premixes, premixes coated with 21% of TiO2 and 5% methocel, as well as premixes coated with 21% of TiO2 and 21% of soy stearine.
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 | 0.000 | 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 | 0.000 |
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 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".