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Record W2331361043 · doi:10.1080/10667857.2016.1160502

Preparation, properties and<i>in vivo</i>antimicrobial activity in yacon roots of microencapsulation containing cinnamon oil

2016· article· en· W2331361043 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.

Bibliographic record

VenueMaterials Technology · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBotanical Research and Applications
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsYacónFood scienceAntimicrobialEssential oilIn vivoChemistryYeastGarlic OilRelative humidityMaterials scienceBiotechnologyBiochemistryBiologyOrganic chemistry

Abstract

fetched live from OpenAlex

Preparation, properties and in vivo antimicrobial activity in yacon roots of microencapsulated cinnamon oil were investigated. The encapsulation efficiency was affected by the concentration of wall materials. Result indicated that cinnamon oil microencapsulation exhibited different particles size and irregular shape. Thermogravimetric analysis showed that the first mass loss in curves for microparticles without oil and microencapsulated oil were observed from 43.78 to 73.59 °C and from 43.78 to 73.59 °C, respectively. The oil release of from mciroparticles could increase with improving the relative humidity and/or the temperature. The counts of bacteria and, yeast and moulds in fresh-cut yacon roots treated by microencapsulated cinnamon oil with PVC film reached the level of 4.5 × 102 and 6.3 × 103 after 12 day storage, respectively. Treatment of microencapsulated cinnamon oil could also keep the overall good visual quality for fresh-cut yacon roots.

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 score0.044
Threshold uncertainty score0.109

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 head0.023
GPT teacher head0.253
Teacher spread0.230 · 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