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Record W2294491726 · doi:10.1111/jfpe.12376

Microencapsulation of iron in a reversed enteric coating using spray drying technology for double fortification of salt with iodine and iron

2016· article· en· W2294491726 on OpenAlex

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Food Process Engineering · 2016
Typearticle
Languageen
FieldMedicine
TopicIron Metabolism and Disorders
Canadian institutionsUniversity of Toronto
FundersCiência sem FronteirasComisión Nacional de Investigación Científica y TecnológicaNatural Sciences and Engineering Research Council of Canada
KeywordsFortificationIodineIodised saltSalt (chemistry)CoatingChitosanChemistryMoistureChemical engineeringMaterials scienceMetallurgyNanotechnologyIodine deficiencyFood scienceOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract Prevention of iron deficiency, the most widespread nutritional disorder, can be achieved by salt double fortification; however, iron addition requires the prevention of iron‐iodine interaction. For this purpose, reversed enteric coated iron‐containing microparticles were developed in this study. Microparticles were produced using either of two coating materials: Eudragit EPO and chitosan. Coating material solutions were loaded with increasing amounts of iron and then spray dried. Maximum payloads were established and functionality/morphology of microparticles was assessed. Microparticles were added into iodized salt with different moisture contents and adhesion and stability was measured during storage. Eudragit EPO is unsuitable for iron fortification, as even low payloads prevented solid particles formation. Chitosan was an effective iron coating as good functionality/morphology was achieved with loadings up to 25%. The best particles were spherical (∼10 µm average diameter) and retained the encapsulated iron at pH 7 and released it at pH 1. Chitosan microparticles can be properly attached to the surface of coarse salt when the initial moisture content of salt is 2.4%, and iodine retention after 12 weeks storage was 90% at 25C and 70% at 45C. Chitosan is suitable for producing an iron premix for stable salt double fortified with iodine and iron. Practical Applications Double fortification of salt with iodine and iron has been proved to be effective in reducing iron deficiency prevalence in India. Current fortification approaches use iron particles developed using an extrusion or fluidized bed agglomeration processes, to match the size and appearance of salt grains. However, in the developing world, the most consumed salt type is coarse salt. This fact imposes the need for developing iron microparticles that can be attached to the surface of coarse salt. Salt requires 2.4% moisture for good attachment. Iron microparticles must be stable in such environment. This can be achievable using reversed enteric coatings for avoiding the interaction of iodine and iron during salt preparation and storage.

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 score0.020
Threshold uncertainty score0.224

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 head0.016
GPT teacher head0.260
Teacher spread0.244 · 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