Spectroscopic Analysis of Poly (Methacrylic Acid-co-Ethylene Glycol Dimethacrylate) Submicron Particles by Fluorescence Emission and Light Scattering upon Binding with 17β-Estradiol in Water Treatment
Bibliographic record
Abstract
An investigation of light scattering of non-imprinted poly methacrylic acid-co-ethylene glycol dimethacrylate (PMAA-co-EGDMA) submicron particles (300±5 nm) in aqueous suspension before and after 17β-estradiol (E2) binding was conducted by using a spectrofluorimeter.An optimal excitation wavelength to determine Mie scattering from these submicron particles was 725±1 nm for the highest intensity.This light scattering from non-imprinted polymer (NIP) submicron particles in aqueous suspension was increased by spiking E2 at various concentrations (from 0.1 to 1.0 ppm).Thus, a new alternative method was found to determine E2 in a water sample by measurement of light scattering from NIP particles using spectrofluorimetry.Furthermore, the light scattering at 725 nm from E2 solution was increased by spiking NIP particles at various concentrations (from 0.02 to 0.12 ppm) but the fluorescence emission essentially stayed constant.The fluorescence emission from E2, however, increased more significantly in the presence of NIP particles than E2 spiking into water alone.
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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 | 0.000 |
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".