Bibliographic record
Abstract
Driven by the increasing concerns on sustainability, environmental pollution and the advances in processing technology, research on new chemicals is gradually shifting from petroleum feedstock towards viable and renewable alternatives. L-cysteine is naturally abundant and has a great potential of becoming a valuable building block. In this thesis work, we intend to utilize the thiol group of L-cysteine in the thiol-ene click reaction or the reaction with aldehydes for functionalization. In addition, dimerization through the amino-acid group of L-cysteine leads to the formation of diketopiperazines (DKP). The structurally rigid DKPs are a class of naturally occurring cyclic amino acids and are explored as a new cyclic building block for various functional compounds and polymers is this thesis research.The thesis outlines several synthetic routes to multifunctional compounds and polymers derived from L-cysteine. First, a series of cysteine-based DKP and DKP-containing polymers were synthesized from S-alkylated compounds under mild conditions and in high yields. The chiroptical activity of the obtained diastereomers was detected and present great potential as a high-selective, sensitive sensor for sensing silver ion in aqua system. Next, a series of DKP-containing difunctional monomers were synthesized from 4-thiazolidinecarboxylic acid derivatives. Based on the type of imported functional group, DKP-containing polymers including polyesters and polycarbonates were produced with high molecular weights. Last, linear and star-shaped macromolecules containing L-cysteine at the chain ends were prepared. Their surface tension, pH-sensitivity and self-assembling behaviors were studied. In addition, cyclodextrins and polysaccharides were functionalized with L-cysteine and their potential uses for detection and separation of chiral acids were investigated.
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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 | 0.000 | 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".