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Record W3017935162 · doi:10.1111/1750-3841.15054

Mannoproteins from inactivated whole cells of baker's and brewer's yeasts as functional food ingredients: Isolation and optimization

2020· article· en· W3017935162 on OpenAlexafffund
Jin Li, Salwa Karboune, Abdeslam Asehraou

Bibliographic record

VenueJournal of Food Science · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPolysaccharides and Plant Cell Walls
Canadian institutionsMcGill University
FundersCanada Foundation for Innovation
KeywordsMannanYeastBiochemistrySaccharomyces cerevisiaeEnzymeYield (engineering)BiologyChemistryPolysaccharide

Abstract

fetched live from OpenAlex

Abstract Because of the structural multiplicity of yeast mannoproteins, they have shown a great interest as food ingredients for a wide range of applications. The yields and the structural properties of mannoproteins varied depending on the isolation methods and their sources (baker's and brewer's Saccharomyces cerevisiae yeasts). Noncovalently bound mannoproteins (6.5 kDa) with a mannan/protein ratio of 0.63 and 2.78 were recovered upon the heat treatment of brewer's and baker's yeasts, respectively, whereas sodium dodecyl sulfate treatment led mainly to the release of nonglycosylated proteins. The highest yield of mannoproteins was achieved upon the enzymatic isolation with Zymolyase ® from Arthrobacter luteus . The recovered covalently bound mannoproteins were characterized by a higher mannan/protein ratio (13.1 to 42.7) and a wider molecular weight distribution (5 to 10 kDa; 10 to 100 kDa; 100 to 400 kDa). Predictive models were developed to understand and modulate the effects of isolation parameters on yield, the mannoproteins content, and the mannan/protein ratio. The enzyme concentration was the most significant parameter affecting the yield, whereas the reaction time was the most significant parameter affecting mannan/protein ratio. Comparison of predicted and experimental values validated the established predicted models for the isolation of well‐defined mannoproteins from yeast for targeted food applications. Practical Application The increasing demand for clean label health‐promoting foods has fueled the development of highly functional ingredients that offer both techno‐functionalities and health‐promoting properties. This study reveals the efficiency of whole inactivated yeasts as sources of mannoproteins. Given the dependence of the techno‐functional and health‐promoting properties of mannoproteins on their molecular properties, the investigation of the effects of the yeast sources and the type of isolation methods on the structural properties of mannoproteins would allow the modulation of their properties. Furthermore, the developed predictive models for the enzymatic process are expected to enhance the isolation efficiency of mannoproteins with well‐defined structures.

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)0.000
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 score0.226
Threshold uncertainty score0.130

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 communication0.0000.001
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 head0.019
GPT teacher head0.187
Teacher spread0.168 · 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

Citations21
Published2020
Admission routes2
Has abstractyes

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