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Record W2333320227 · doi:10.2202/1556-3758.2122

Microencapsulation of Ferrous Fumarate for the Production of Salt Double Fortified with Iron and Iodine

2011· article· en· W2333320227 on OpenAlex
Dan Romita, Yu‐Ling Cheng, Levente L. Diósady

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Food Engineering · 2011
Typearticle
Languageen
FieldMedicine
TopicIron Metabolism and Disorders
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsIodised saltFerrousIodineSalt (chemistry)FortificationBioavailabilityChemistryFerrous sulphateFood scienceIodine deficiencyInorganic chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

The fortification of salt with iron may greatly reduce the prevalence of iron deficiency globally, but fortification is complicated by iron-iodine interactions. To minimize this interaction, a spray dry microencapsulation system was developed. This study evaluates the creation and use of this system, producing engineered iron premixes for integration into coarse iodized salt. Bioavailable ferrous fumarate powders were encapsulated via spray-drying to produce particles which are too small to be detected visually (<20?m). Feed systems containing both suspended and dissolved ferrous fumarate were compared to find optimal feed conditions. The premixes were blended into iodized salt at 1000ppm-iron and stored at 40°C, ~60 percent RH. The salt was sampled periodically for 6 months to evaluate the effect on iodine stability. All encapsulated samples were more stable than the unencapsulated samples. The capsules ability to adhere to the salt as well as its colour and apparent bioavailability were evaluated. Stable double-fortified salt based on inexpensive, coarse, unrefined salt may be obtained economically by this approach.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.158
Threshold uncertainty score0.139

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.025
GPT teacher head0.240
Teacher spread0.215 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it