Synthesis and Dual-Acid/Light-Responsive Disassembly of Amphiphilic Block Copolymer Nanoassemblies Bearing Conjugated Benzoic Imine Pendants
Bibliographic record
Abstract
Stimuli-responsive degradable amphiphilic block copolymers (SRD-ABPs) have been extensively explored as a promising building block in the construction of smart nanoassemblies exhibiting controlled/enhanced release of encapsulated molecules including therapeutics. Recent advance involves the development of effective approaches to synthesize dual SRD-ABPs and their nanoassemblies, most of which are conventionally designed with two different cleavable linkages (different functional groups), thus responding to two stimuli, typically acid-labile and photoresponsive groups. Herein, we report a new approach to achieve dual acidic pH/light responses with a single labile linkage employing conjugated benzoic imine chemistry. As a proof-of-concept investigation of the approach, a well-defined poly(ethylene glycol)-based SRD-ABP containing conjugated benzoic imine pendants in the hydrophobic block was synthesized by a combination of reversible deactivation radical polymerization and postpolymerization modification. The synthesized copolymer self-assembled in an aqueous solution to form colloidally stable nanoassemblies, consisting of acid/light-degradable hydrophobic core bearing conjugated imine linkages surrounded with hydrophilic coronas. Upon dual responses to acidic pH and UV/visible light, the nanoassemblies degraded through a change in the hydrophobic/hydrophilic balance of micelle cores. This work demonstrates the versatility of a new approach to design and develop advanced nanoassemblies exhibiting dual-acid/light responses on a single conjugated benzoic imine group, thus being effective for intracellular drug delivery.
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 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 | 0.000 | 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 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".