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Linalool: Výskyt v přírodě, Enantiomery & Použití
Linalool je přirozeně se vyskytující terpenový alkohol, obsažený v mnoha květinách a kořenných rostlinách. Má široké komerční použití, zejména pro svou příjemnou vůni (květinovou, s trochou kořenné vůně). Nazývá se též β-linalool, linalylalkohol, linaloyloxid nebo allo-ocimenol, systematický název je 3,7-dimethylokta-1,6-dien-3-ol.
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Linalool topic overview
The analysis highlights Výskyt v přírodě, Enantiomery and Použití as prominent areas in the source structure around Linalool.
Related topics
45
Source areas
5
Connected nodes
52
Extracted relationships
60
Concept neighborhoods
10
Bridge connections
52
What this topic covers Research coverage
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Výskyt v přírodě · 12 topics
Enantiomery · 11 topics
Použití · 9 topics
Biosyntéza · 8 topics
Overview · 5 topics
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How Linalool connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Linalool shows recurring relationship patterns in the source. For example, Linalool → Amar, Andrew, CABI Publishing, Casabianca, Ed, Enantiomeric, Enhanced, Faugier, Fleig, Gepstein, Graff JB, Grenier, Hiatt, High Res Chrom, HRC, Larkov, Lastochkin, Matsui, Medicinal Plants, Nam Another extracted example is Linalool → Apiaceae, C3, CAS, Chaix, Citrus, Coriandrum, Cymbopogon, Lamiaceae, Lauraceae, Laurus, Lavandula, Oba, Ocimum, Osbeck, Poaceae, PubChem, Roxb, Rutaceae, Wats. Use these groups to spot repeated connection types before inspecting the individual relationships.
Linalool
Top relations
related to Reference· 33
Linalool → Amar, Andrew, CABI Publishing, Casabianca, Ed, Enantiomeric, Enhanced, Faugier, Fleig, Gepstein, Graff JB, Grenier, Hiatt, High Res Chrom, HRC, Larkov, Lastochkin, Matsui, Medicinal Plants, Nam
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 60 structured relationships around Linalool. Examples in this analysis include Linalool → related to Bezpečnost → Linaloolu and Linalool → related to Biosyntéza → Jeden. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Linalool
related to Bezpečnost
Linaloolu
0.60
section
Linalool
related to Biosyntéza
Jeden
0.60
section
Linalool
related to Biosyntéza
LIS
0.60
section
Linalool
related to Enantiomery
C3
0.60
section
Linalool
related to Enantiomery
CAS
0.60
section
Linalool
related to Enantiomery
PubChem
0.60
section
Linalool
related to Enantiomery
Oba
0.60
section
Linalool
related to Enantiomery
Coriandrum
0.60
section
Linalool
related to Enantiomery
Apiaceae
0.60
section
Linalool
related to Enantiomery
Cymbopogon
0.60
section
Linalool
related to Enantiomery
Roxb
0.60
section
Linalool
related to Enantiomery
Wats
0.60
section
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Linalool bring nearby vocabulary together. In this analysis, examples include Jako, Používá and Produkován. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Linalool
Jako
Používá
Produkován
In
Použití
Of
Alkohol
Kořenných
Květinách
Mnoha
Obsažený
Přirozeně
linalool
Jako
Používá
Produkován
In
Použití
Of
Alkohol
Kořenných
Květinách
Mnoha
Obsažený
Přirozeně
použití
Svou
Vůni
Kořenné
Květinovou
Příjemnou
Trochou
Zejména
Široké
Enantiomery
Používá
Produkován
Přírodě
alkohol
Kořenných
Květinách
Mnoha
Obsažený
Přirozeně
Rostlinách
Terpenový
Vyskytující
Linalool
květinách
Kořenných
Mnoha
Obsažený
Přirozeně
Rostlinách
Terpenový
Vyskytující
Linalool
kořenných
Květinách
Mnoha
Obsažený
Přirozeně
Rostlinách
Terpenový
Vyskytující
Linalool
enantiomery
Přírodě
Čeleď
Produkován
Více
-linalool
Použití
Linalool
enzymů
Produkován
Více
Jako
Linalool
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Linalool, one of the stronger structural bridges in this analysis connects Linalool with Výskyt v přírodě. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Linalool
Nodes53
Edges52
Triples60
Avg. degree1.96
Density0.037736
Components1
Source & methodology
TTTA analyzes the structure around Linalool to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Výskyt v přírodě, Enantiomery & Použití, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
