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Record W3046642614 · doi:10.5539/jfr.v9n5p53

Microencapsulation of Hibiscus sabdariffa (Roselle) Extracts by Spray Drying Using Maltodextrin and Gum Arabic as Carriers

2020· article· en· W3046642614 on OpenAlexvenueno aff
Sandro Cid-Ortega, José Ángel Guerrero-Beltrán

Bibliographic record

VenueJournal of Food Research · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMicroencapsulation and Drying Processes
Canadian institutionsnot available
Fundersnot available
KeywordsMaltodextrinHibiscus sabdariffaSpray dryingGum arabicChemistryTroloxGallic acidFood scienceAnthocyaninAntioxidantNuclear chemistryChromatographyAntioxidant capacityOrganic chemistry

Abstract

fetched live from OpenAlex

Microencapsulation by spray drying is one of the most common methods used to obtain food material powders. In this study, different gums (maltodextrin [MD], gum arabic [GA], and mixtures of MD:GA [60:40] at various concentrations [0–10% w/w]) were used to microencapsulate Hibiscus sabdariffa (Roselle) extracts by spray drying. The yield, physicochemical properties, and antioxidant characteristics (total monomeric anthocyanins [TMAs], total phenolic compounds [TPCs], and antioxidant capacity [AC]) of the microencapsulated Roselle powders (RP) were evaluated. The highest RP yield (73.3 ± 3.3%) was obtained with the 3% MD:GA blend. The red color (a*) average for all powders (39.9 ± 2.0) decreased as the gum concentration increased. The 3% MD:GA RP showed the highest amount of TMAs (539.19 ± 13.27 mg cyaniding-3-glucoside equivalents/100 g) and TPCs (3,801.6 ± 125.9 mg of gallic acid equivalents/100 g of powder). The highest AC was observed with a 5% GA RP (1498.5 ± 44.0 mg of Trolox equivalents/100 g of powder).

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.000
Threshold uncertainty score0.001

Distilled classifier scores by category (both heads)

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 head0.121
GPT teacher head0.332
Teacher spread0.211 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations20
Published2020
Admission routes1
Has abstractyes

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