Research of tomatoes Solanum lycopersicum L. originating from different climatic-geographical regions and identification of metabolites by tandem mass spectrometry
Bibliographic record
Abstract
Relevance. A number of scientific studies confirm that consumption of fruits and vegetables can reduce the risk of certain chronic diseases, such as cancer and cardiovascular diseases, for example, consumption of fresh tomatoes and tomato products is inversely proportional to the development of certain types of cancer. Tomato Solanum lycopersicum L. contains a large number of polyphenolic complexes, which are biologically active compounds. In this article, the authors have attempted for the first time to present the complete metabolomic composition of Solanum lycopersicum extracts.Materials and methods: As an object of research, authors used the extracts of Solanum lycopersicum L., from the collection of the Federal Research Center N.I. Vavilov All-Russian Institute of Plant Genetic Resources, grown and collected at the Far Eastern Experiment Station Branch of the Federal State Budgetary Scientific Institution in September 2020 (varieties: k-5351 Ont77 13, Canada; k-3149 Rehovoth, Israel; 2698 Ukraine). High performance liquid chromatography (HPLC) in combination with a BRUKER DALTONIKS ion trap (tandem mass spectrometry) was used to identify target analytes in extracts obtained by the maceration method.Discussion: The results of initial studies revealed the presence of 36 biologically active compounds, of which 22 were identified for the first time in Solanum lycopersicum L. These are Apigenin, Luteolin, Kaempferol, Taxifolin, Myricetin, Coutaric acid, Caffeoylmalic acid, Caftaric acid, Dicaffeoylquinic acid, coumarins Fraxetin, and Fraxetin-7-O-beta-glucuronide, Pelargonidin, Salvianolic acid D, Rosmanol, Colnelenic acid, Ethyl rosemary, lignan Medioresinol-O-hexoside, Squalene, etc. The findings will help to intensify future research into the development and production of various functional food products containing targeted extracts of Solanum lycopersicum L.
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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 | 0.001 | 0.001 |
| 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) | 0.002 | 0.001 |
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".