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Record W3204119037 · doi:10.1016/j.jafr.2021.100211

Enzymatic modification of enriched lemon oil in a solvent-free reaction medium: Bioconversion yield and product profile

2021· article· en· W3204119037 on OpenAlexaff
Marina Minh Nguyen, Nastaran Khodaei, Salwa Karboune

Bibliographic record

VenueJournal of Agriculture and Food Research · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicEssential Oils and Antimicrobial Activity
Canadian institutionsMcGill University
Fundersnot available
KeywordsBioconversionYield (engineering)ChemistryEnzymeFood scienceBiochemistryMaterials scienceFermentation

Abstract

fetched live from OpenAlex

The present study focused on the modification of the chemical profile of selected terpenes and enriched lemon essential oil through lipase-catalyzed transesterification with the aim to broaden their applications. The reaction capacities of 3 terpenes (eugenol, thymol , geraniol) with vinyl esters (vinyl acetate, vinyl propionate) and commercial lipases from Candida rugosa and Candida antarctica (Novozym® 435) were studied. Phenolic terpenes were not detected to have participated in the transesterification reaction and were therefore not modified, which could be attributed to the position of the hydroxyl group on their phenyl moiety. Geraniol was successfully modified in toluene and a solvent-free medium utilizing lemon oil as the reaction medium, with bioconversion yields as high as 100% and 88%, respectively. These findings revealed the efficiency of solvent-free modification of terpene alcohols in essential oils. This method could, therefore, be considered to modify essential oils to be used as functional ingredients in food products.

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 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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.118
Threshold uncertainty score0.145

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 head0.056
GPT teacher head0.282
Teacher spread0.226 · 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 teacher head, 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

Citations2
Published2021
Admission routes1
Has abstractyes

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