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Record W4410953385 · doi:10.1080/10408398.2025.2513521

Levansucrases: a review of their catalytic properties, product characterization and applications in food systems

2025· review· en· W4410953385 on OpenAlexafffund
Muriel Wong Min, Salwa Karboune

Bibliographic record

VenueCritical Reviews in Food Science and Nutrition · 2025
Typereview
Languageen
FieldNursing
TopicMicrobial Metabolites in Food Biotechnology
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCharacterization (materials science)Food scienceProduct (mathematics)Biochemical engineeringFood productsCatalysisFood industryChemistryBusinessProcess engineeringNanotechnologyBiotechnologyMaterials scienceBiologyEngineeringBiochemistryMathematics

Abstract

fetched live from OpenAlex

Owing to the promising physiological effects of levan and levan-type fructooligosaccharides, levansucrase (LS, EC 2.4.1.10) has garnered much interest in recent years for pharmaceutical, cosmetic, and food applications. LS is a fructosyl-transferase that catalyzes the synthesis of complex oligosaccharides by acquiring a fructosyl residue from a donor molecule and performing non-Leloir transfer to an acceptor molecule. The mechanism of action of LS toward various carbohydrates has been well documented, and increasing interest has been drawn to the ability of alkyl and phenolic compounds to act as acceptor substrates for LS-catalyzed transfructosylation reactions. Many studies have also focused on improving the production of LSs and their product spectrum, whether by increasing their overall activity or shifting their selectivity toward a particular reaction. With these advances, the possibility of applying LS to food processing has gradually gained momentum. This review provides a comprehensive discussion of the catalytic properties of LS and full characterization of its reaction products. We then discuss some applications of microbial LS for the biogeneration of functional ingredients in food systems.

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)0.002
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.613
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.003
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.066
GPT teacher head0.344
Teacher spread0.278 · 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.

Study designSystematic review
Domainnot available
GenreReview

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

Citations4
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueCritical Reviews in Food Science and NutritionSame topicMicrobial Metabolites in Food BiotechnologyFrench-language works237,207