Soluble zinc phthalocyanines as chemical probes for Δ-9-tetrahydrocannabinol in different solvents
Bibliographic record
Abstract
The detection of [Formula: see text]-9-tetrahydrocannabinol (THC) is important for several applications from agriculture and pharmaceuticals to law enforcement. Two novel soluble zinc phthalocyanines were synthesized and their interaction with THC was studied. We report the change in the electrochemical and spectroelectrochemical response of the two zinc derivatives in the presence of THC using different organic solvents (DCM, THF, and DMF). The greatest change in spectroelectrochemical response was found when DCM was employed, whereas when THF was used an increase in higher energy [Formula: see text]-[Formula: see text]* transitions within the Pc cores was observed. Using DMF on the other hand demonstrated little change in response. We also found that the functional group used to solubilize the ZnPc played a significant role in the observed spectrochemical response to THC. These results demonstrate the potential for ZnPc-based chemical probes for the use in detection of THC.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".