- InChI
- InChI=1S/C14H23OP/c1-3-5-12-16(15,13-6-4-2)14-10-8-7-9-11-14/h7-11H,3-6,12-13H2,1-2H3
- InChI Key
- WCYAKKWAZWUWLP-UHFFFAOYSA-N
- Formula
- C14H23OP
- SMILES
- CCCCP(=O)(CCCC)c1ccccc1
- Molecular Weight1
- 238.31
- CAS
- 5958-59-8
- ω : Acentric Factor.
- ΔfG° : Standard Gibbs free energy of formation (kJ/mol).
- ΔfH°gas : Enthalpy of formation at standard conditions (kJ/mol).
- ΔvapH° : Enthalpy of vaporization at standard conditions (kJ/mol).
- IE : Ionization energy (eV).
- log10WS : Log10 of Water solubility in mol/l.
- logPoct/wat : Octanol/Water partition coefficient.
- McVol : McGowan's characteristic volume (ml/mol).
- Pc : Critical Pressure (kPa).
- Tboil : Normal Boiling Point Temperature (K).
- Tc : Critical Temperature (K).
- Tfus : Normal melting (fusion) point (K).
- Vc : Critical Volume (m3/kmol).
- 1: Molecular weight from the IUPAC atomic weights tables.
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Physical Properties
| Property | Value | Unit | Source |
|---|---|---|---|
| ω | 0.5833 | Relay (1.0) Calculated Property | |
| ΔfG° | 58.46 | kJ/mol | Relay (1.0-beta) Calculated Property |
| ΔfH°gas | -231.40 | kJ/mol | Relay (1.0) Calculated Property |
| ΔvapH° | 84.57 | kJ/mol | Relay (1.0) Calculated Property |
| IE | 8.50 | eV | Relay (1.0) Calculated Property |
| log10WS | -3.83 | Relay (1.0) Calculated Property | |
| logPoct/wat | 4.275 | Crippen Calculated Property | |
| McVol | 210.690 | ml/mol | McGowan Calculated Property |
| Pc | 1981.92 | kPa | Relay (1.0-beta) Calculated Property |
| Tboil | 604.17 | K | Relay (1.0) Calculated Property |
| Tc | 774.03 | K | Relay (1.0) Calculated Property |
| Tfus | 334.34 | K | Relay (1.0) Calculated Property |
| Vc | 0.748 | m3/kmol | Relay (1.0) Calculated Property |
Similar Compounds
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7-amino-3-«beta»-D-ribofuranosyl-.](data:image/png;base64,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)
Find more compounds similar to C14H23OP.
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- Crippen Method
- Crippen Method
- McGowan Method
- NIST Webbook
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