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Record W4391651750 · doi:10.1111/jfpe.14543

Characterization of granular micronutrient premixes for food fortification

2024· article· en· W4391651750 on OpenAlex
Yee Kei Kiki Chan, R. N. S. Sodhi, 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Food Process Engineering · 2024
Typearticle
Languageen
FieldMedicine
TopicIron Metabolism and Disorders
Canadian institutionsCentre for Global Health ResearchUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMicronutrientChemistryFood scienceFortificationGranule (geology)Micronutrient deficiencyFortified FoodFood fortificationMaterials scienceComposite material

Abstract

fetched live from OpenAlex

Abstract Granular micronutrient premixes have been used to fortify salt and proven to alleviate micronutrient deficiencies. Expansion of the micronutrient premix technology to other food vehicles requires characterization of the granules to establish a basic understanding of the material. The objective of this study is to determine the physical and chemical properties of micronutrient premixes, and examine these parameters in relation to the attrition of the granules. The physical properties examined were particle shape, density, and compressive strength; and chemical compositions of the granule surfaces and cross sections were mapped using x‐ray photoelectron spectroscopy, scanning electron microscopy, and time‐of‐flight secondary ion mass spectroscopy. Currently, premix granules coated with hydroxypropyl methylcellulose and fully hydrogenated soybean oil to a minimum coating thickness of 25 μm is sufficient for resisting attrition under the processing conditions of double‐fortified salt. Micronutrient premix granules can be made more resistant to attrition under harsher processing conditions through reduction in particle size, increase in sphericity, and increase in the coating thickness. Practical Applications Two billion people worldwide suffer from the deficiency at least one micronutrient, which burdens an individual's health and quality of life. Fortification of staple foods is a proven cost‐effective approach to mitigate micronutrient deficiencies. Micronutrient premix granules used to fortify salt have had great success in reducing iron‐deficient anemia. Premix granules must remain intact until they reach the consumer for the micronutrients to be absorbed by the body. Currently, existing formulations of premix can resist breakage under the processing and handling conditions of salt production. However, premix granules have not been tested under elevated temperatures and compression, so their integrity under such conditions remains to be shown. This study reports on the properties of micronutrient premix granules to establish a baseline understanding for the expansion of their use. Our results show that existing premix granules can be made smaller, rounder, and with a thicker coating to withstand harsher processing conditions.

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 score0.132
Threshold uncertainty score0.276

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 head0.011
GPT teacher head0.246
Teacher spread0.235 · 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