![1H-Cycloprop[e]azulene, 1a,2,3,5,6,7,7a,7b-octahydro-1,1,4,7-tetramethyl-, [1aR-(1a«alpha»,7«alpha»,7a«beta»,7b«alpha»)]-](/cid/65-199-0/1H-Cycloprop-e-azulene-1a-2-3-5-6-7-7a-7b-octahydro-1-1-4-7-tetramethyl-1aR-1a-alpha-7-alpha-7a-beta-7b-alpha.png "1H-Cycloprop[e]azulene, 1a,2,3,5,6,7,7a,7b-octahydro-1,1,4,7-tetramethyl-, [1aR-(1a«alpha»,7«alpha»,7a«beta»,7b«alpha»)]-")
- InChI
- InChI=1S/C15H24/c1-9-6-8-12-14(15(12,3)4)13-10(2)5-7-11(9)13/h10,12-14H,5-8H2,1-4H3/t10-,12-,13+,14+/m1/s1
- InChI Key
- WGTRJVCFDUCKCM-ZZVYKPCYSA-N
- Formula
- C15H24
- SMILES
- CC1=C2CCC(C)C2C2C(CC1)C2(C)C
- Molecular Weight1
- 204.35
- CAS
- 21747-46-6
- Other Names
-
- (+)-Ledene
- 1,1,4,7-Tetramethyl-1a,2,3,5,6,7,7a,7b-octahydro-1H-cyclopropa[e]azulene-, [1aR-(1a«alpha»,7«alpha»,7a«beta»,7b«alpha»)]-
- Viridiflorene
- Leden
- Ledene
- (1aR,7R,7aS,7bR)-1,1,4,7-Tetramethyl-1a,2,3,5,6,7,7a,7b-octahydro-1H-cyclopropa[e]azulene
- Virdiflorene
- Viridflorene
- Viridiflorene (ledene)
- [1aR-(1a«alpha»,7«alpha»,7a«beta»,7b«alpha»)]-1a,2,3,5,6,7,7a,7b-octahydro-1,1,4,7-tetramethyl-1H-cycloprop[e]azulene
- Cp,gas : Ideal gas heat capacity (J/mol×K).
- ΔfG° : Standard Gibbs free energy of formation (kJ/mol).
- ΔfH°gas : Enthalpy of formation at standard conditions (kJ/mol).
- ΔfusH° : Enthalpy of fusion at standard conditions (kJ/mol).
- ΔvapH° : Enthalpy of vaporization at standard conditions (kJ/mol).
- 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).
- Inp : Non-polar retention indices.
- I : Polar retention indices.
- 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 |
|---|---|---|---|
| ΔfG° | 223.26 | kJ/mol | Joback Calculated Property |
| ΔfH°gas | -137.45 | kJ/mol | Joback Calculated Property |
| ΔfusH° | 21.10 | kJ/mol | Joback Calculated Property |
| ΔvapH° | 48.91 | kJ/mol | Joback Calculated Property |
| log10WS | -4.43 | Crippen Calculated Property | |
| logPoct/wat | 4.415 | Crippen Calculated Property | |
| McVol | 185.330 | ml/mol | McGowan Calculated Property |
| Pc | 2005.50 | kPa | Joback Calculated Property |
| Inp | [1458.00; 1534.00] |
|
|
| Inp | 1501.00 | NIST | |
| Inp | 1501.00 | NIST | |
| Inp | 1505.00 | NIST | |
| Inp | Outlier 1523.00 | NIST | |
| Inp | 1482.00 | NIST | |
| Inp | 1478.00 | NIST | |
| Inp | Outlier 1470.00 | NIST | |
| Inp | 1493.00 | NIST | |
| Inp | 1490.00 | NIST | |
| Inp | 1493.00 | NIST | |
| Inp | 1489.00 | NIST | |
| Inp | 1476.00 | NIST | |
| Inp | 1476.00 | NIST | |
| Inp | 1493.00 | NIST | |
| Inp | 1493.00 | NIST | |
| Inp | 1496.00 | NIST | |
| Inp | 1489.00 | NIST | |
| Inp | 1495.00 | NIST | |
| Inp | 1487.00 | NIST | |
| Inp | Outlier 1520.00 | NIST | |
| Inp | 1491.00 | NIST | |
| Inp | 1492.00 | NIST | |
| Inp | 1492.00 | NIST | |
| Inp | 1495.00 | NIST | |
| Inp | 1495.00 | NIST | |
| Inp | 1493.00 | NIST | |
| Inp | 1495.00 | NIST | |
| Inp | 1495.00 | NIST | |
| Inp | 1493.00 | NIST | |
| Inp | 1497.00 | NIST | |
| Inp | 1497.00 | NIST | |
| Inp | 1496.00 | NIST | |
| Inp | 1492.00 | NIST | |
| Inp | 1497.00 | NIST | |
| Inp | 1497.00 | NIST | |
| Inp | 1497.00 | NIST | |
| Inp | 1494.00 | NIST | |
| Inp | Outlier 1462.00 | NIST | |
| Inp | 1496.00 | NIST | |
| Inp | 1499.00 | NIST | |
| Inp | Outlier 1473.00 | NIST | |
| Inp | 1494.00 | NIST | |
| Inp | 1493.00 | NIST | |
| Inp | 1500.00 | NIST | |
| Inp | 1493.00 | NIST | |
| Inp | 1491.00 | NIST | |
| Inp | 1494.00 | NIST | |
| Inp | 1495.00 | NIST | |
| Inp | 1493.00 | NIST | |
| Inp | Outlier 1511.00 | NIST | |
| Inp | 1493.00 | NIST | |
| Inp | 1496.00 | NIST | |
| Inp | 1494.00 | NIST | |
| Inp | 1485.00 | NIST | |
| Inp | 1509.00 | NIST | |
| Inp | 1493.00 | NIST | |
| Inp | 1497.00 | NIST | |
| Inp | 1504.00 | NIST | |
| Inp | 1499.00 | NIST | |
| Inp | 1500.00 | NIST | |
| Inp | 1489.00 | NIST | |
| Inp | 1489.00 | NIST | |
| Inp | 1489.00 | NIST | |
| Inp | 1493.00 | NIST | |
| Inp | 1485.00 | NIST | |
| Inp | Outlier 1534.00 | NIST | |
| Inp | 1502.00 | NIST | |
| Inp | 1491.00 | NIST | |
| Inp | 1492.00 | NIST | |
| Inp | 1497.00 | NIST | |
| Inp | 1488.00 | NIST | |
| Inp | 1494.00 | NIST | |
| Inp | 1504.00 | NIST | |
| Inp | 1496.00 | NIST | |
| Inp | 1498.00 | NIST | |
| Inp | Outlier 1466.00 | NIST | |
| Inp | 1482.00 | NIST | |
| Inp | 1483.00 | NIST | |
| Inp | 1494.00 | NIST | |
| Inp | 1483.00 | NIST | |
| Inp | 1491.00 | NIST | |
| Inp | 1493.00 | NIST | |
| Inp | 1491.00 | NIST | |
| Inp | 1488.00 | NIST | |
| Inp | 1492.00 | NIST | |
| Inp | 1492.00 | NIST | |
| Inp | 1493.00 | NIST | |
| Inp | 1493.00 | NIST | |
| Inp | 1502.00 | NIST | |
| Inp | 1487.00 | NIST | |
| Inp | 1486.00 | NIST | |
| Inp | 1491.00 | NIST | |
| Inp | 1492.00 | NIST | |
| Inp | 1494.00 | NIST | |
| Inp | 1487.00 | NIST | |
| Inp | 1493.00 | NIST | |
| Inp | Outlier 1458.00 | NIST | |
| Inp | 1487.00 | NIST | |
| Inp | 1478.00 | NIST | |
| Inp | 1493.00 | NIST | |
| Inp | 1502.00 | NIST | |
| Inp | 1493.00 | NIST | |
| Inp | Outlier 1473.00 | NIST | |
| Inp | 1489.00 | NIST | |
| Inp | 1481.00 | NIST | |
| Inp | Outlier 1471.00 | NIST | |
| Inp | 1492.00 | NIST | |
| Inp | 1487.00 | NIST | |
| Inp | 1495.00 | NIST | |
| Inp | 1495.00 | NIST | |
| Inp | 1493.00 | NIST | |
| Inp | 1481.00 | NIST | |
| Inp | 1493.00 | NIST | |
| Inp | 1474.00 | NIST | |
| Inp | 1499.00 | NIST | |
| Inp | 1490.00 | NIST | |
| Inp | 1493.00 | NIST | |
| Inp | Outlier 1470.00 | NIST | |
| Inp | 1489.00 | NIST | |
| Inp | 1489.00 | NIST | |
| Inp | 1490.00 | NIST | |
| Inp | 1482.00 | NIST | |
| Inp | 1492.00 | NIST | |
| Inp | 1492.00 | NIST | |
| Inp | 1493.00 | NIST | |
| Inp | 1494.00 | NIST | |
| Inp | 1497.00 | NIST | |
| Inp | 1484.00 | NIST | |
| Inp | 1484.00 | NIST | |
| Inp | 1487.00 | NIST | |
| Inp | 1497.00 | NIST | |
| Inp | 1497.00 | NIST | |
| Inp | 1493.00 | NIST | |
| Inp | 1496.00 | NIST | |
| Inp | 1491.00 | NIST | |
| Inp | 1497.00 | NIST | |
| Inp | 1488.00 | NIST | |
| Inp | 1493.00 | NIST | |
| Inp | 1487.00 | NIST | |
| Inp | 1491.00 | NIST | |
| Inp | 1489.00 | NIST | |
| Inp | 1498.00 | NIST | |
| Inp | 1487.00 | NIST | |
| Inp | 1492.00 | NIST | |
| Inp | 1497.00 | NIST | |
| Inp | 1493.00 | NIST | |
| Inp | 1497.00 | NIST | |
| Inp | 1487.00 | NIST | |
| Inp | 1500.00 | NIST | |
| Inp | 1493.00 | NIST | |
| Inp | 1491.00 | NIST | |
| Inp | 1498.00 | NIST | |
| Inp | 1484.00 | NIST | |
| Inp | 1493.00 | NIST | |
| Inp | 1493.00 | NIST | |
| Inp | Outlier 1472.00 | NIST | |
| Inp | 1492.00 | NIST | |
| Inp | 1492.00 | NIST | |
| Inp | 1498.00 | NIST | |
| Inp | 1484.00 | NIST | |
| Inp | 1490.00 | NIST | |
| Inp | 1495.00 | NIST | |
| Inp | 1501.00 | NIST | |
| Inp | 1499.00 | NIST | |
| Inp | 1493.00 | NIST | |
| Inp | 1492.00 | NIST | |
| Inp | 1496.00 | NIST | |
| Inp | 1494.00 | NIST | |
| Inp | 1488.00 | NIST | |
| Inp | 1502.00 | NIST | |
| Inp | 1478.00 | NIST | |
| Inp | 1489.00 | NIST | |
| Inp | 1474.00 | NIST | |
| Inp | 1484.00 | NIST | |
| I | [1653.00; 1736.00] |
|
|
| I | Outlier 1736.00 | NIST | |
| I | 1701.00 | NIST | |
| I | 1708.00 | NIST | |
| I | Outlier 1656.00 | NIST | |
| I | 1688.00 | NIST | |
| I | 1686.00 | NIST | |
| I | 1686.00 | NIST | |
| I | 1698.00 | NIST | |
| I | 1697.00 | NIST | |
| I | 1686.00 | NIST | |
| I | 1693.00 | NIST | |
| I | 1704.00 | NIST | |
| I | 1704.00 | NIST | |
| I | 1695.00 | NIST | |
| I | 1704.00 | NIST | |
| I | 1695.00 | NIST | |
| I | 1698.00 | NIST | |
| I | 1695.00 | NIST | |
| I | 1695.00 | NIST | |
| I | 1695.00 | NIST | |
| I | 1695.00 | NIST | |
| I | 1695.00 | NIST | |
| I | 1699.00 | NIST | |
| I | 1695.00 | NIST | |
| I | 1695.00 | NIST | |
| I | 1695.00 | NIST | |
| I | 1695.00 | NIST | |
| I | 1695.00 | NIST | |
| I | 1690.00 | NIST | |
| I | 1701.00 | NIST | |
| I | 1707.00 | NIST | |
| I | 1694.00 | NIST | |
| I | 1671.00 | NIST | |
| I | Outlier 1669.00 | NIST | |
| I | 1701.00 | NIST | |
| I | 1716.00 | NIST | |
| I | 1694.00 | NIST | |
| I | 1696.00 | NIST | |
| I | 1704.00 | NIST | |
| I | Outlier 1653.00 | NIST | |
| I | 1696.00 | NIST | |
| I | 1694.00 | NIST | |
| I | 1671.00 | NIST | |
| I | 1706.00 | NIST | |
| I | 1707.00 | NIST | |
| I | 1704.00 | NIST | |
| I | 1704.00 | NIST | |
| I | 1704.00 | NIST | |
| I | 1704.00 | NIST | |
| I | 1704.00 | NIST | |
| I | 1704.00 | NIST | |
| I | 1704.00 | NIST | |
| I | 1695.00 | NIST | |
| I | 1690.00 | NIST | |
| I | 1713.00 | NIST | |
| I | 1685.00 | NIST | |
| I | 1697.00 | NIST | |
| I | 1697.00 | NIST | |
| I | 1679.00 | NIST | |
| I | 1709.00 | NIST | |
| I | 1695.00 | NIST | |
| I | 1708.00 | NIST | |
| I | 1695.00 | NIST | |
| I | 1719.00 | NIST | |
| I | 1697.00 | NIST | |
| I | 1708.00 | NIST | |
| I | 1707.00 | NIST | |
| I | 1708.00 | NIST | |
| I | 1708.00 | NIST | |
| I | 1707.00 | NIST | |
| I | 1707.00 | NIST | |
| I | 1707.00 | NIST | |
| I | 1705.00 | NIST | |
| I | 1695.00 | NIST | |
| I | Outlier 1656.00 | NIST | |
| I | 1697.00 | NIST | |
| I | 1695.00 | NIST | |
| I | 1690.00 | NIST | |
| I | Outlier 1736.00 | NIST | |
| Tboil | 571.38 | K | Joback Calculated Property |
| Tc | 789.11 | K | Joback Calculated Property |
| Tfus | 346.81 | K | Joback Calculated Property |
| Vc | 0.713 | m3/kmol | Joback Calculated Property |
Temperature Dependent Properties
| Property | Value | Unit | Temperature (K) | Source |
|---|---|---|---|---|
| Cp,gas | [505.59; 624.00] | J/mol×K | [571.38; 789.11] |
|
| Cp,gas | 505.59 | J/mol×K | 571.38 | Joback Calculated Property |
| Cp,gas | 528.29 | J/mol×K | 607.67 | Joback Calculated Property |
| Cp,gas | 549.58 | J/mol×K | 643.96 | Joback Calculated Property |
| Cp,gas | 569.63 | J/mol×K | 680.24 | Joback Calculated Property |
| Cp,gas | 588.60 | J/mol×K | 716.53 | Joback Calculated Property |
| Cp,gas | 606.66 | J/mol×K | 752.82 | Joback Calculated Property |
| Cp,gas | 624.00 | J/mol×K | 789.11 | Joback Calculated Property |
Similar Compounds
![1H-Cyclopropa[a]naphthalene, 1a,2,3,3a,4,5,6,7b-octahydro-1,1,3a,7-tetramethyl-, [1aR-(1a«alpha»,3a«alpha»,7b«alpha»)]-.](data:image/png;base64,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)
![1,1,4-Trimethyl-7-methylene-1a,2,3,5,6,7,7a,7b-octahydro-1H-cyclopropa[e]azulene.](data:image/png;base64,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)
Sources
Note: Cheméo is only indexing the data, follow the source links to retrieve the latest data. The source is also providing more information like the publication year, authors and more.
Take the time to validate and double check the source of the data.
Outlier This icon means
that the value is more than 2 standard deviations away from the
property mean.