CHEMISORPTION OF FLAVONOIDS FROM CANADIAN GOLDENROD ON ALUMINUM OXIDE
Bibliographic record
Abstract
The results of the study of sorption of flavonoids in aqueous and alcoholic extracts of inflorescences of canadian goldenrod with alumina are presented. The methods of reflectance spectroscopy in the visible range and colorimetry (CIE XYZ, CIE L*a*b* systems) were used to characterize plant raw materials, preparations of standard rutin in the solid phase, and adsorbates. According to the data of solid-phase spectrophotometry, the interaction occurred by chemisorption of flavonoids on the surface of the sorbent. The similar nature of the reflectance spectra of adsorbates from extracts and rutin, the predominant component of the flavonoid composition of the studied plant raw materials, was confirmed. The use of the first spectrum derivative proved to be a more effective method for identifying the formation of adsorption complexes in comparison with determining the position of the extended maximum in the reflectance spectra of adsorbates. The bathochromic shift of the minimum of the spectral band in the case of chemisorption is proposed as a diagnostic criterion. According to colorimetric measurements, chemisorption of flavonoids caused an increase in the conditional purity of color tone and yellowness index of adsorbates. For the comparative analysis of adsorbates, the total color difference was calculated with a division into component differences in lightness, chroma and hue angle. The possibility of using an environmentally safe solvent for the functionalization of a biocompatible sorbent has been confirmed. The obtained results can be used in the development of concentration, stabilization of flavonoids from extracts of medicinal plants, the creation of biohybrid materials, improvement of methods of solid-phase analysis of biologically active substances.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 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".