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Selan (H2Se) je dvouprvková sloučenina selenu a vodíku. Její vodný roztok se nazývá kyselina selanová a tvoří dvě řady solí: selenidy a hydrogenselenidy. Je podobná sulfanu, který se také řadí mezi chalkogenovodíky. Mezi její vlastnosti patří rozpustnost v sirouhlíku a fosgenu. Selan je nejjedovatější sloučenina selenu. LC50 je 0,05 ppm při expozici 8 hodin.
The analysis highlights Příprava, Související články and Overview as prominent areas in the source structure around Selan.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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.
The extracted context around Selan shows recurring relationship patterns in the source. For example, Selan → Al, Al2Se3, H2O, H2Se, OH Another extracted example is Selan → Obrázky, Wikimedia Commons. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
selenu h2se sloučenina rozpustnost stp strukturní vzorec geometrie molekuly selanu model ghs02 ghs04 ghs06 ghs09 datové položky hydrogen selenide selenidy
TTTA extracted 31 structured relationships around Selan. Examples in this analysis include Selan → Anglický název → Hydrogen selenide and Selan → Disociační konstanta pKa → 3,89, 11,0. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Selan | Anglický název | Hydrogen selenide | 1.00 | infobox |
| Selan | Disociační konstanta pKa | 3,89, 11,0 | 1.00 | infobox |
| Selan | EC-no (EINECS/ELINCS/NLP) | 231-978-9 | 1.00 | infobox |
| Selan | H-věty | H331 H301 H373 H410 | 1.00 | infobox |
| Selan | Hustota | 3,553 kg/m3 | 1.00 | infobox |
| Selan | InChI | InChI=1S/H2Se/h1H2 | 1.00 | infobox |
| Selan | Indexové číslo | 034-002-00-8 | 1.00 | infobox |
| Selan | Molární hmotnost | 80,98 g/mol | 1.00 | infobox |
| Selan | NFPA 704 | 4 4 0 | 1.00 | infobox |
| Selan | Německý název | Selenwasserstoff | 1.00 | infobox |
| Selan | PubChem | 533 | 1.00 | infobox |
| Selan | R-věty | R23/25 R33 R50/53 | 1.00 | infobox |
| Selan | Registrační číslo CAS | 7783-07-5 | 1.00 | infobox |
| Selan | Rozpustnost ve vodě | 0,70 g/100 ml | 1.00 | infobox |
| Selan | S-věty | (S1/2) S20/21 S28 S45 S60 S61 | 1.00 | infobox |
| Selan | SMILES | [SeH2] | 1.00 | infobox |
| Selan | Sumární vzorec | H2Se | 1.00 | infobox |
| Selan | Systematický název | selan | 1.00 | infobox |
| Selan | Teplota tání | −65,73 °C (207,42 K) | 1.00 | infobox |
| Selan | Teplota varu | −41,25 °C (231,9 K) | 1.00 | infobox |
| Selan | Triviální název | selenovodík | 1.00 | infobox |
| Selan | UN kód | 2202 | 1.00 | infobox |
| Selan | Vzhled | bezbarvý plyn | 1.00 | infobox |
| Selan | Číslo RTECS | X1050000 | 1.00 | infobox |
The concept neighborhoods around Selan bring nearby vocabulary together. In this analysis, examples include Datové, Geometrie and Ghs02. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Selan, one of the stronger structural bridges in this analysis connects Selan with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Selan to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Příprava, Související články & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Selan · CS edition · Analysis: TopicsToTalkAbout