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Comparative analysis of the chemical composition of plant materials of some representatives of the genera Narcissus L. and Camassia Lindl.

2021· article· en· W4237228798 on OpenAlex
А. А. Реут, Aygul' Biglova, Irina Allayarova

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAgrarian Bulletin of the · 2021
Typearticle
Languageen
FieldChemistry
TopicHeavy Metals in Plants
Canadian institutionsnot available
Fundersnot available
KeywordsOrnamental plantAtomic absorption spectroscopyEnvironmental chemistryComposition (language)CadmiumChemistryBotanyChemical compositionHorticultureBiology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.664

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.021
GPT teacher head0.263
Teacher spread0.243 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it