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Record W3130413094 · doi:10.1002/cjce.24084

Extraction and concentration of glutathione from yeast by membranes

2021· article· en· W3130413094 on OpenAlexafffundvenue
Yiran Wang, Tonghu Xiao, Zhigen Zhang, Xianshe Feng

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicMembrane Separation Technologies
Canadian institutionsLallemand (Canada)University of Waterloo
FundersNatural Sciences and Engineering Research Council of CanadaLallemand
KeywordsUltrafiltration (renal)GlutathioneMembraneNanofiltrationChemistryExtraction (chemistry)ChromatographyYeastPermeationBiochemistry

Abstract

fetched live from OpenAlex

Abstract This study dealt with extraction of glutathione from yeast using hot water, followed by membrane separations. The supernatant of the yeast extract was subjected to ultrafiltration (UF) to remove macromolecules, and the glutathione in the resulting ultrafiltrate was concentrated using a nanofiltration (NF) membrane. The relationships between the permeation flux and volume concentration ratio (VCR) were investigated, and the resistance of the membrane fouling layer was analyzed. This study also investigated the effects of hot water extraction conditions (e.g., temperature and time) on the glutathione yield, as well as the stability of glutathione when exposed to light. The research findings suggest that the integrated UF and NF process is a promising approach to concentrating and purifying glutathione from yeast extract.

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 score0.001
Threshold uncertainty score0.252

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 head0.006
GPT teacher head0.187
Teacher spread0.181 · 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

Citations14
Published2021
Admission routes3
Has abstractyes

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