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Record W4307870676 · doi:10.1002/dta.3397

Analytical profile of the lysergamide 1cP‐AL‐LAD and detection of impurities

2022· article· en· W4307870676 on OpenAlexaff
Pierce V. Kavanagh, Folker Westphal, Benedikt Pulver, Hannes M. Schwelm, Alexander Stratford, Volker Auwärter, Stephen J. Chapman, Adam L. Halberstadt, Simon D. Brandt

Bibliographic record

VenueDrug Testing and Analysis · 2022
Typearticle
Languageen
FieldPsychology
TopicPsychedelics and Drug Studies
Canadian institutionsIsomer Design (Canada)
FundersEuropean Commission
KeywordsImpurityChemistryDetection limitHigh resolutionElectrospray ionizationMass spectrometryChromatographyAnalytical Chemistry (journal)Organic chemistry

Abstract

fetched live from OpenAlex

Abstract The development of novel lysergamides continues to occur, based on both the needs of psychedelic medicine and commercial interest in new recreational substances. The present study continues the authors' research on novel lysergamides and describes the analytical profile of 1‐cyclopropanoyl‐AL‐LAD (IUPAC name: 1‐(cyclopropanecarbonyl)‐ N , N ‐diethyl‐6‐(prop‐2‐en‐1‐yl)‐9,10‐didehydroergoline‐8β‐carboxamide; 1cP‐AL‐LAD), using various chromatographic, mass spectrometric, and spectroscopic methods. Analysis of a powdered sample of 1cP‐AL‐LAD, obtained from an online vendor, by high performance liquid chromatography‐electrospray ionization‐quadrupole time‐of‐flight mass spectrometry in full scan/AutoMS/MS mode revealed the detection of 17 impurities based on high‐resolution tandem mass spectral data; tentative determination of their identity was based on mass spectral grounds alone, though detection of AL‐LAD and 1P‐AL‐LAD was confirmed using available reference standards. Other tentative compound identifications included 1‐acetyl‐AL‐LAD and several other substances potentially reflecting oxidation of the N 6 ‐allyl group as well as other positions on the ergoline ring system. These data may assist those interested in the chemistry of lysergamides. Finally, 1cP‐AL‐LAD was also detected in samples of “blotters” sold online for recreational use.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.246

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)0.0000.000

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 head0.028
GPT teacher head0.301
Teacher spread0.273 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations7
Published2022
Admission routes1
Has abstractyes

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