Star-Shaped Glycopolymers with a Porphyrin Core: Synthesis, Singlet Oxygen Generation, and Photodynamic Therapy
Bibliographic record
Abstract
Porphyrin and its derivatives have become the second generation of photosensitizers for photodynamic therapy for cancers. 5,10,15,20-Tetrakis[4-(2-hydroxyethoxy)phenyl]porphyrin photosensitizer was modified into a porphyrin-based ATRP initiator, and it was further used to construct star-shaped glycopolymers bearing galactose residuals by using atom transfer radical polymerization. Four star-shaped glycopolymers were obtained with a porphyrin core bearing four glyco-arms of varying arm lengths. They can be dissolved in water and displayed good light absorption and fluorescent emission due to the presence of porphyrin core. They generated singlet oxygen which may photobleach the indicator 1,3-diphenylisobenzofuran. The galactose-containing polymers show Hep G2 cells (a human liver cancer cell line) affinity which was selected for the toxicity study. These polymers caused lower cell viability in phototoxicity (1 h light irradiation), indicating their effectiveness as photosensitizers. The fluorescence microscopy results are in good agreement with 1 O 2 generation and the toxicity study, which indicates their effectiveness for potential use in photodynamic therapy. The star polymers with shorter glyco-arms have higher porphyrin content per unit mass, leading more efficient 1 O 2 generation to cancer cell extermination, while the polymers with longer glyco-arms showed lower toxicity and better lectin recognition and affinity. It is important to balance the photodynamic therapy and cell targeting property for practical applications.
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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) | 0.000 | 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 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".