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Record W4416385253 · doi:10.1021/acs.oprd.5c00326

Simplifying “SiFA”: A High-Yielding, Automated Protocol for the One-Step Radiosynthesis of the Neuroendocrine Tumor Imaging Agent [ <sup>18</sup> F]SiTATE <i>via</i> a Merging of “Silicon-Fluoride Acceptor” (SiFA) and “Nonanhydrous, Minimally Basic” (NAMB) Chemistries

2025· article· en· W4416385253 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueOrganic Process Research & Development · 2025
Typearticle
Languageen
FieldMedicine
TopicRadiopharmaceutical Chemistry and Applications
Canadian institutionsUniversity of SaskatchewanMcMaster University
FundersCanadian Institutes of Health ResearchSaskatchewan Health Research FoundationCanada Research ChairsNeuroendocrine Tumor Research FoundationCanada Foundation for InnovationNatural Sciences and Engineering Research Council of CanadaMcMaster UniversityEducation and Research Foundation for Nuclear Medicine and Molecular Imaging
KeywordsRadiosynthesisProtocol (science)Neuroendocrine tumorsMolecular imaging

Abstract

fetched live from OpenAlex

Developing radiochemical strategies that enable the simple, rapid, and high-yielding incorporation of radioisotopes into bioactive targeting vectors using sterile, cassette-based kits is critical to sustaining clinical practice and advancing radiopharmaceutical research. 18 F-bearing positron emission tomography (PET) imaging radiopharmaceuticals that use functionally-complex biomolecules as targeting vectors are particularly challenging to synthesize because they are sensitive to the elevated temperatures and basic conditions traditionally used to incorporate [ 18 F]fluoride, necessitating complex, low-yielding multistep radiolabeling strategies using 18 F-prosthetic groups. Direct 18 F-labeling of bioactive peptides can be achieved through 19 F-for- 18 F exchange of di- tert -butylphenylfluorosilane pendant groups (a.k.a. “SiFA” chemistry). However, the translation of such protocols to automated synthesis units, which are required for the clinical production of 18 F-radiopharmaceuticals, has been hampered by the incompatibility of SiFAylated 19 F-peptide precursors with current methods to isolate [ 18 F]F – on anion exchange sorbents, including azeotropic distillation of aqueous eluates containing (bi)carbonate base, or the extraction of [ 18 F]F – via strongly-basic Kryptofix-222/KOH complex. Nonbasic tetraalkylammonium salts can be used to release [ 18 F]F – from anion exchange cartridges in small volumes of water directly into vessels containing radiolabeling precursors in MeCN or DMSO [a.k.a. nonanhydrous, minimally basic (‘NAMB’) 18 F chemistry]; these “damp” reaction mixtures (1–6% water) can be heated to achieve traditional nucleophilic 18 F-fluorinations, or, as we report here, high-yielding SiFA reactions. This merging of SiFA and NAMB is reported here first for the one-step, manual radiosynthesis of [ 18 F]SiTATE, a clinically-validated neuroendocrine tumor imaging agent, and then later translated to the FASTlab 1 automated synthesis platform. An exceptionally high non-decay-corrected radiochemical yield (NDC-RCY; 50 ± 6%, n = 4) was obtained after admixing of 19 F-precursor (50 nmol) with tetrabutylammonium dihydrogen phosphate/tetrabutylammonium [ 18 F]fluoride in 44:50:6 MeCN:DMSO:H 2 O (1 mL) for 10 min at ambient temperature. Radiochemical purity was 95% after the purification of 18 F-peptide by solid-phase extraction. The highest activity yield produced from a single cyclotron bombardment was 594 mCi (52% NDC-RCY; 440 GBq/μmol), suggesting that this ultrasimple and efficient automated protocol is amenable to the production of multiple patient doses from a single batch of [ 18 F]fluoride.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.040
Threshold uncertainty score0.875

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.045
GPT teacher head0.384
Teacher spread0.339 · 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