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Record W7135877781

Secondary metabolite production in explantate cultures of St. John's worth

2013· dissertation· cs· W7135877781 on OpenAlexaboutno aff
Šárka Křížová

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2013
Typedissertation
Languagecs
FieldAgricultural and Biological Sciences
TopicNatural Compound Pharmacology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSecondary metaboliteElicitorHydrogen peroxideCallusMetaboliteSecondary metabolismTissue cultureSucrose
DOInot available

Abstract

fetched live from OpenAlex

Secondary metabolite production in explantate cultures of St. John's Wort Šárka Křížová Diploma thesis Charles University in Prague, Faculty of Pharmacy in Hradec Králové, Pharmacy Key words: St. John's Wort, elicitation, flavonoids, hydrogen peroxide, glutathion, neutral red. The goal of the diploma thesis was to influence the production of secondary metabolites (flavonoids) in explantate cultures of St. John's Wort. Method of elicitation was used. This method is based on adding of an elicitor (stressor) to the tissue culture. Suspensional and callus cultures of Hypericum Perforatum L. were used for experiments with potential elicitors: hydrogen peroxide, combination of hydrogen peroxide and Mg-ATP, glutathion and cellular pigment neutral red. Their effect to the production of flavonoids was evaluated after 4 and 24 hours. Cultures were cultivated on Murashige and Skoog medium with the addition of a growth hormone BAP and a growth stimulator α-NAO. HPLC method was used for analysis of the samples. Hydrogen peroxide raised the production of flavonoids, especially in suspensional cultures, in callus cultures the highest influence had glutathion (reduced form) and neutral red. The highest production of flavonoids was reached after 24 hours by addition of hydrogen peroxide in concentration 100 mg/l,...

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.605
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0010.001
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 head0.011
GPT teacher head0.255
Teacher spread0.244 · 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 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
Published2013
Admission routes1
Has abstractyes

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