- InChI
- InChI=1S/C5H6N6/c6-11-5-7-1-3-4(10-5)9-2-8-3/h1-2H,6H2,(H2,7,8,9,10,11)
- InChI Key
- HOXPMFBXNMYFSM-UHFFFAOYSA-N
- Formula
- C5H6N6
- SMILES
- NNc1ncc2[nH]cnc2n1
- Molecular Weight1
- 150.14
- CAS
- 64164-90-5
- 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 | 0.5580 | Relay (1.0) Calculated Property | |
| ΔfG° | 408.60 | kJ/mol | Relay (1.0-beta) Calculated Property |
| ΔfH°gas | 331.67 | kJ/mol | Relay (1.0) Calculated Property |
| ΔvapH° | 113.18 | kJ/mol | Relay (1.0) Calculated Property |
| IE | 8.70 | eV | Relay (1.0) Calculated Property |
| log10WS | -1.83 | Relay (1.0) Calculated Property | |
| logPoct/wat | -0.843 | Crippen Calculated Property | |
| McVol | 102.270 | ml/mol | McGowan Calculated Property |
| Pc | 7173.00 | kPa | Relay (1.0-beta) Calculated Property |
| Tboil | 626.99 | K | Relay (1.0) Calculated Property |
| Tc | 962.73 | K | Relay (1.0) Calculated Property |
| Tfus | 546.06 | K | Relay (1.0) Calculated Property |
| Vc | 0.383 | m3/kmol | Relay (1.0) Calculated Property |
Similar Compounds
![Ethanol, 2-[(n-methyl-n-purin-2-yl)amino]-.](data:image/png;base64,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)
Find more compounds similar to Purine, 2-hydrazino-.
Sources
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- Crippen Method
- Crippen Method
- McGowan Method
- NIST Webbook
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