Synthesis of Semisynthetic Dual-State Fluorescent Polymers and Roles of Starch/Pectin on AIET-Assisted Dual-Emission, Conductivity, and Metal-Ion Sensing
Bibliographic record
Abstract
The strategic and systematic synthesis of aggregation-induced energy transfer (AIET)-active dual-state emitting semisynthetic polymeric materials having promising conductivity and suitability in heavy and transition metal ion (HTMI) sensing is indeed a challenging task especially involving purely aliphatic moieties. In this work, initially, synthetic aliphatic macromolecular luminogens (AMLs) are synthesized and optimized through nuclear magnetic resonance (NMR)/Fourier transform infrared (FTIR) spectroscopy and thermogravimetric (TG) analyses based on the optimized incorporation of atypical heteroatomic fluorophores (AHFs), i.e., −CONH–, −CON<, and −COOH, of constituent isopropylacrylamide, methylpropanoic acid, methylidenebutanedioic acid comonomers, and in situ anchored tertiary amidic 3-( N -isopropylmethacrylamido)-2-methylpropanoic acid. The efficacy of supramolecular interaction-driven emission in optimized AML4 is further augmented by the encapsulation of starch and pectin in semisynthetic starch-grafted-AML (SAML) and pectin-grafted-AML (PAML) through the enrichment of AHFs. Among SAMLs/PAMLs, the optimization of AHFs and natural polymers (starch/pectin) through various spectroscopic techniques and I / I 0 measurements emerges excellent dual-state (solid and solution) emissions and conductivity in SAML3/PAML4. The AIET-assisted dual-light emissions are envisaged by absorption spectra, time-correlated single photon count (TCSPC) studies, and bandgap calculations of SAML3-/PAML4-aggregate and SAML3/PAML4. The AIET-prompted emission in SAML3-/PAML4-aggregate is further attested through concentration-dependent emission and aggregation-enhanced emission studies, solvent polarity effects, quantum yield calculations, and scanning electron microscopy photomicrographs. The grafting-associated conductivity increment in SAML3/PAML4 is substantiated by I–V and impedance spectroscopy. The dual-emission phenomena in SAML3/PAML4 enable rapid, selective, and sensitive detections (in ppb levels) of Cu(II)/Cr(III) and Hg(II)/Fe(III) at different wavelengths by SAML3/SAML3-aggregate and PAML4/PAML4-aggregate, respectively. The strong coordination of the HTMIs with AHFs of SAML3/PAML4 and SAML3-/PAML4-aggregate are confirmed by absorption, emission, NMR, FTIR, and X-ray photoelectron spectroscopies; TG analyses; dynamic light scattering measurements; and TCSPC studies.
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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 | 0.001 |
| 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".