Confirmation of Microwave-Assisted Synthesis of Chloro-Boron Subphthalocyanines and Chloro-Boron Subnaphthalocyanines with Rapid Screening and Data Acquisition via HPLC-PDA
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide Herein, we report an investigation into the use of a scientific microwave reactor for the synthesis of chloro-boron subphthalocyanines (Cl-BsubPcs), its derivatives, and the π-extended alternative called chloro-boron subnaphthalocyanine (Cl–Cl n BsubNc). Reaction optimization screening is presented with the aid of a high-pressure liquid chromatography system equipped with a photodiode array detector (HPLC-PDA) and used for quantitative analysis to calculate the conversion of phthalonitriles and 2,3-dicyanonaphthalene to the Cl-BsubPcs and Cl–Cl n BsubNcs, respectively, by leveraging the characteristic UV–vis absorbance profiles of the Cl-BsubPcs and Cl–Cl n BsubNcs. The microwave reaction process was found to reduce the reaction time from multiple hours to 5 to 36 min, reducing the overall time needed for the synthesis of the desired compounds, and provided a streamlined process of optimizing the synthesis of peripherally and axially substituted Cl-BsubPc derivatives. With enhanced heating, difficult-to-synthesize Cl–Cl 12 BsubPc was found to achieve moderate conversion through multiple microwave irradiation cycles. With this streamlined process, the lack of ethereal cleavage of aryl–aryl ether moieties (i.e., p -tolyl group) attached to the periphery of a Cl-BsubPc was achieved and is also presented. Although random bay halogenation of Cl-BsubNc was not found to be suppressed under the reaction conditions in the microwave, we present the microwave synthesis of Cl–Cl n BsubNcs while tracking random bay halogenation production using HPLC-PDA and confirm their characterization via mass spectrometry.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".