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Record W2075444532 · doi:10.1002/cjce.21907

Quality changes during spouted bed drying of Pepper‐Rosmarin extract

2013· article· en· W2075444532 on OpenAlexvenueno aff
Lucimara Benelli, Cláudia R. F. Souza, Wanderley P. Oliveira

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMicroencapsulation and Drying Processes
Canadian institutionsnot available
Fundersnot available
KeywordsFood scienceChemistryComposition (language)PolyphenolBioactive compoundBy-productFlavonoidThymolAntioxidantWater activityWater contentBiochemistryEssential oil

Abstract

fetched live from OpenAlex

Abstract This study was undertaken in order to evaluate the effects of processing and feed composition variables on the retention of volatile compounds and product properties during spouted bed drying of pepper‐rosmarin extract (Lippia sidoides Cham.). The product loss on drying, LD, moisture content, Xp, water activity, Aw, concentration of bioactive markers (flavonoid, TF, polyphenol, TPF and thymol contents, TT), antioxidant activity, IC50, powder flow properties, powder morphology and crystalline state were the responses analysed. Processing conditions and feed composition significantly affected the product quality, leading to noticeable changes in the retention of bioactive substances. Results of this study show that the concentration of bioactive markers in the dried product tended to increase with the feed flow rate of the feed composition relative to the maximum dryer evaporation capacity, Ws/Wmax, and conversely with the concentration of drying carriers added to the feed composition. The dried extract showed significant antioxidant activity, although significant losses of bioactive marker compounds (TF, TPF and TT) were observed in some 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.

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 score0.001
Threshold uncertainty score0.002

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)0.0010.000

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 head0.020
GPT teacher head0.204
Teacher spread0.184 · 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

Citations14
Published2013
Admission routes1
Has abstractyes

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