MétaCan
Menu
Back to cohort

Triterpenes and Soluble Polysaccharide Changes in Lingzhi or Reishi Medicinal Mushroom, Ganoderma lucidum (Agaricomycetes), During Fruiting Growth

2018· article· en· W2886451342 on OpenAlexaff
Shuai Zhou, Qingjiu Tang, Chuanhong Tang, Yanfang Liu, Fuying Ma, Xiaoyu Zhang, Jingsong Zhang

Bibliographic record

VenueInternational journal of medicinal mushrooms · 2018
Typearticle
Languageen
FieldMedicine
TopicFungal Biology and Applications
Canadian institutionsMinistry of Agriculture
Fundersnot available
KeywordsPolysaccharideChemistryPileusMedicinal fungiTerpeneStipe (mycology)Food scienceMushroomBotanyBiochemistryBiology

Abstract

fetched live from OpenAlex

We analyzed the changes in triterpenes and soluble polysaccharides in Ganoderma lucidum strain G0119 during 4 growth phases in 3 regions of the fruiting bodies using reversed-phase high-performance liquid chromatography, and we also analyzed the soluble polysaccharides using high-performance size-exclusion chroma-tography-multiple-angle laser-light scattering refractive index analysis. The strong polar triterpenes decreased while weak polar triterpenes increased during the growth cycle of G. lucidum. The highest contents of ganoderic acid B, ganoderic acid A, and ganoderenic acid B were detected in the stipe during phase II, and ganoderic acid S, ganoderic acid T, and ganoderiol B peaked in the base during phase IV. The total content of soluble polysaccharides in samples decreased after the primordium developed into a fruiting body. Two high-molecular-weight fractions were detected in the soluble polysaccharide samples: α-l,4-glucan and β-l,3-glucan, respectively. They were primarily distributed in the pileus during phase II, and both decreased after this phase. These results led us to select a more suitable growth phase and region for harvesting to obtain extracts with higher contents of triterpenes and soluble polysaccharides.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.347
Threshold uncertainty score0.720

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.020
GPT teacher head0.313
Teacher spread0.293 · 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 designObservational
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

Citations15
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueInternational journal of medicinal mushroomsSame topicFungal Biology and ApplicationsFrench-language works237,207