Shaking Up the Friedländer Reaction: Rapid, Scalable Mechanochemical Synthesis of Polyaryl‐Substituted Quinolines
Bibliographic record
Abstract
Abstract Quinolines are ubiquitous heterocyclic aromatic scaffolds, which can be found in many natural and synthetic products. They are highly valued for their pharmacological and electrochemical properties, encouraging the discovery of new routes for quinoline synthesis and diversification. In particular, polyaryl‐substituted quinolines have recently surged as useful substrates for a wide variety of applications, yet their synthetic routes remain difficult and inefficient. Herein, we report a rapid and novel mechanochemical Friedländer synthesis of polyaryl‐substituted quinolines under basic conditions using ball milling. The optimized reaction conditions resulted in moderate to excellent yields ranging from 48% to >95% and demonstrated broad functional group tolerance at 1 hour reaction times. We further show a new route for the synthesis of photocatalyst DPQN 2,4−di−OMe and photo‐ligand PPQN 2,4−di−OMe as well as OLED donor‐acceptor pCzPPQ, electron transport material oligoquinoline TQB and organic semiconductor DPA. A gram scale reaction was also achieved using Resonant Acoustic Mixing (RAM), providing an isolated yield of 87% after a simple recrystallization in ethanol.
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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 | 0.001 |
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".