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Record W2379553541

Isolation and HPLC-MS analysis insecticidal activity franctions from Japropha curcas fruit shell

2013· article· en· W2379553541 on OpenAlexaff
Li Yu

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect Pest Control Strategies
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsJatropha curcasHigh-performance liquid chromatographyChemistryChromatographyMyzus persicaeVitexinHorticultureBotanyBiologyFlavonoidAphid
DOInot available

Abstract

fetched live from OpenAlex

To seek insecticidal activity components from Jatropha curcas fruit shell, using alcohol crude extract of butanol partitioned extract in J.curcas fruit shells as an experimental material in our investigation,and then silica gel chromatography,at same time, separated products of the each stage were carried out by tracking activity,analyzed by HPLC-MS,and the main components of active part were initially identified. The results showed that the concentration of colony WD1 reached 8 g·L-1,Myzus persicae and Pieris rapae corrected mortality exceeded 70% in 24 h(72 h),which showed that toxic activity was very high. Through the analysis of WD1 by HPLC-MS,seven compounds with maximum contents were identified,with total amount up to 80.72%. They were 2α,3a,23-Trihydroxyurs-12,20(30)-dien-28-oi,Cyclgrossine B,Vitexin,Diterpene ,Jatrophlone A,Curcusone A or Curcusone B.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.878
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.012
GPT teacher head0.197
Teacher spread0.184 · 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 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

Citations0
Published2013
Admission routes1
Has abstractyes

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