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Record W2127870342 · doi:10.1002/jlcr.1454

Trifluoromethanesulfonic acid, an alternative solvent medium for the direct electrophilic fluorination of DOPA: new syntheses of 6‐[<sup>18</sup>F]fluoro‐<scp>L</scp>‐DOPA and 6‐[<sup>18</sup>F]fluoro‐<scp>D</scp>‐DOPA

2007· article· en· W2127870342 on OpenAlexaff
Babak Behnam Azad, Raman Chirakal, Gary J. Schrobilgen

Bibliographic record

VenueJournal of Labelled Compounds and Radiopharmaceuticals · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAmino Acid Enzymes and Metabolism
Canadian institutionsMcMaster UniversityHamilton Health SciencesMcMaster University Medical Centre
Fundersnot available
KeywordsChemistryEnantiomerElectrophileHigh-performance liquid chromatographyStereochemistrySelectivitySolventReactivity (psychology)Nuclear magnetic resonance spectroscopyChromatographyOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract Previous work from this laboratory has shown that the direct fluorination of 3, 4‐dihydroxy‐phenyl‐ L ‐alanine ( L ‐DOPA) in anhydrous HF (aHF) or BF 3 /HF with F 2 is an efficient method for the synthesis of 6‐fluoro‐ L ‐DOPA. Since then, 18 F‐labeled 6‐fluoro‐ L ‐DOPA ([ 18 F]6‐fluoro‐ L ‐DOPA) has been used to study presynaptic dopaminergic function in the human brain and to monitor gastrointestinal carcinoid tumors. This work demonstrates that the reactivity and selectivity of F 2 toward L ‐DOPA in CF 3 SO 3 H is comparable with that in aHF. This new synthetic procedure has led to the production of [ 18 F]fluoro‐ L ‐DOPA and [ 18 F]fluoro‐D‐DOPA isomers in 17±2% radiochemical yields (decay corrected with respect to [ 18 F]F 2 ). The 2‐ and 6‐FDOPA isomers were separated by HPLC and subsequently characterized by 19 F NMR spectroscopy. The corresponding [ 18 F]‐FDOPA enantiomers have been obtained in clinically useful quantities by a synthetic approach that avoids the use of aHF. Copyright © 2007 John Wiley &amp; Sons, Ltd.

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)0.003
metaresearch head score (Gemma)0.002
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.115
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.033
GPT teacher head0.316
Teacher spread0.284 · 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

Citations9
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Labelled Compounds and RadiopharmaceuticalsSame topicAmino Acid Enzymes and MetabolismFrench-language works237,207