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Record W4253159048 · doi:10.24124/2020/59151

Purification and characterization of growth-inhibitory compounds from 2 genera of British Columbia wild mushrooms: fomitopsis and phaeolus

2020· dissertation· en· W4253159048 on OpenAlexafffundabout
Jiazhi Da

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldMedicine
TopicFungal Biology and Applications
Canadian institutionsUniversity of Northern British Columbia
FundersUniversity of Northern British Columbia
KeywordsMushroomChemistryChromatographyHigh-performance liquid chromatographyInhibitory postsynaptic potentialExtraction (chemistry)Mass spectrometryGrowth inhibitionBiologyBiochemistryFood scienceIn vitro

Abstract

fetched live from OpenAlex

Modern science is currently working to characterize the beneficial compounds from mushrooms and their potential as pharmaceutical drugs. In this thesis, eight British Columbian wild mushroom collections (3 species), comprising Fomitopsis pinicola, Phaeolus schweinitzii and Phaeolus sp., were screened for growth-inhibitory potential. Out of 28 crude extracts, 15 exhibited strong growth-inhibitory activity. For the Phaeolus sp. collection, liquid-liquid extraction, sizeexclusion chromatography and high-performance liquid chromatograph-mass spectrometry (HPLCMS) were used to purify the growth-inhibitory compound of interest. NMR analyses confirmed its identity as hispidin, a known potent anti-cancer compound. Another compound with a mass to charge ratio of 283.2 in hexane extract of Phaeolus sp. was detected by HPLC-MS. This study provides the foundational work for further isolation of small molecule(s) from the three mushroom species and shed light on the profile of Phaeolus sp. as a source of growth-inhibitory compounds.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.971
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.007
GPT teacher head0.215
Teacher spread0.208 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2020
Admission routes3
Has abstractyes

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