Comparative analysis of the chemical composition of plant materials of some representatives of the genera Narcissus L. and Camassia Lindl.
Bibliographic record
Abstract
Abstract. Purpose. Heavy metals can have a negative effect on plants, animals and humans if their concentration exceeds certain limits. Therefore, it is important to establish the characteristics of the accumulation of heavy metals and to determine the elemental composition of aboveground (leaves) and underground (bulbs) organs in plant samples of 8 varieties of Narcissus hybridus hort. (Actaea, Arctic Gold, Cassata, Quail, Sir Winston Churchill, White Lady, Calgary, Pink Parasol) and Camassia cusickii S. Wats. in the urbanized environment of the city of Ufa (Republic of Bashkortostan). Methods. The study of the elemental composition of the samples was carried out according to the method of quantitative chemical analysis “Determination of As, Pb, Cd, Sn, Cr, Cu, Fe, Mn and Ni in laboratory samples of food products and food raw materials by the atomic absorption method with electrothermal atomization No. M-02-1009-08”. Scientific novelty. This work is the first to analyze the results of the content of individual elements in aboveground and underground organs in samples of cultivated floral and ornamental plants in the forest-steppe zone of the Bashkir Ural. Results. It was found that the content of nickel, copper, cadmium, lead, magnesium, iron, chromium in all the samples studied does not exceed the standards specified in the State Pharmacopoeia of the Russian Federation (SP RF). The arsenic content exceeds the standards specified in the SP RF by 3.4 times. Revealed a high intensity of biological absorption of copper. The peculiarity of the accumulation of individual elements by different taxa of the studied plants is noted. It has been established that the concentrations of As, Cu, Pl, Mn, Fe in the aboveground organs are higher than in the underground part of plants; the ratio of the content of Ni, Cr, Cd in aboveground and underground organs is the same. As a result of these studies, it was recommended to use the studied cultivars as a phytoremediator of arsenic.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 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".