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Record W2122406011 · doi:10.1002/cjce.5450810512

Enhanced Production of Podophyllotoxin by Fed‐batch Cultivation of <i>Podophyllum hexandrum</i>

2003· article· en· W2122406011 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2003
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant-derived Lignans Synthesis and Bioactivity
Canadian institutionsnot available
Fundersnot available
KeywordsPodophyllumPodophyllotoxinBiomass (ecology)BioreactorFed-batch cultureNutrientChemistryDry weightProductivityBotanyFood sciencePulp and paper industryBiologyFermentationAgronomyEngineering

Abstract

fetched live from OpenAlex

Abstract Podophyllum hexandrum (Indian May Apple) was successfully cultivated in a 3 L stirred tank bioreactor under low shear conditions in batch and fed‐batch modes of operation. A statistically optimized culture medium was used for the batch cultivation of Podophyllum hexandrum . Under optimum culture conditions of P. hexandrum , the batch culture showed a growth‐associated product formation with a maximum biomass of 21.4 g/L dry cell weight ( DCW ) basis and a podophyllotoxin production of 13.8 mg/L in 26 d. A mathematical model was developed to design the nutrient feeding strategies for a fed‐batch cultivation to prolong the productive log phase of cultivation. The fed‐batch cultivation was able to enhance the biomass and podophyllotoxin accumulation to 48 g/L ( DCW basis) and 43.2 mg/L, respectively, in 60 d. The volumetric productivity of podophyllotoxin in fed‐batch cultivation was found to be 0.72 mg/(L. d) as opposed to 0.53 mg/(L. d) in batch cultivation under optimized culture conditions.

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.

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 score0.293

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 head0.005
GPT teacher head0.176
Teacher spread0.171 · 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