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Record W4386594812 · doi:10.1155/2023/4127663

Spray Encapsulation of Iron in Chitosan Biopolymer for Tea Fortification

2023· article· en· W4386594812 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 Quality · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMicroencapsulation and Drying Processes
Canadian institutionsUniversity of Toronto
FundersGrand Challenges CanadaSchlumberger Foundation
KeywordsChitosanChemistryBioavailabilityPolyphenolChelationFood scienceMaltodextrinBiopolymerAntioxidantFortificationSpray dryingNuclear chemistryChromatographyBiochemistryOrganic chemistryPharmacology

Abstract

fetched live from OpenAlex

Aim. Tea was studied as a carrier for iron in a fortification strategy to reduce iron deficiency. Iron forms insoluble coloured complexes with tea polyphenols which lower consumer acceptability. Complexation of iron by polyphenols and quinones derived from tea inhibits iron absorption in the first segment of the small intestine. Spray-dried chitosan-iron microcapsules were prepared to prevent iron-polyphenol interaction before the beverage is consumed. A competing chelating agent (EDTA) or antioxidant (sodium ascorbate) was added to prevent interactions and help improve iron bioavailability. Methods. The effect of concentration of chitosan (0.2–1.5%w/w), iron loading (10–60% w/w FeSO4), addition of secondary coatings on particle morphology, surface iron exposure and release, and bioaccessibility were evaluated. Tea-containing chitosan microcapsules and chelating agents to enable iron absorption were evaluated for sensory acceptability. Results. The iron release profile at pH 1 and pH 7 exhibited reverse enteric behaviour of non-cross-linked chitosan microcapsules. Increasing the iron content leads to more iron exposure on the surface due to a high core to coat ratio. Cross-linked chitosan effectively encapsulated iron, and its release in tea was inhibited, as indicated by lower delta E values in comparison with untreated tea and positive sensory testing scores. The use of maltodextrin as secondary coating slightly improved the spray process and produced larger particles, with less exposed iron on the surface. However, it did not improve the colour performance in milk tea. Conclusions. Tea fortified with encapsulated iron and a chelating agent providing 40% of the daily iron requirement of an adult, prepared in a traditional South Asian manner, i.e., with milk and water, resulted in tea with acceptable colour and taste. However, further research is required to develop an encapsulation formulation for stable iron encapsulation in hot tea and exploration of equivalent plant-based chitosan sources to address concerns of consumers with dietary restrictions.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.610
Threshold uncertainty score0.092

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.092
GPT teacher head0.333
Teacher spread0.242 · 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